[pt] O objetivo desta pesquisa é classificar o perfil de pagamento dos consumidores não-residenciais de energia elétrica, considerando conhecimento armazenado em base de dados de distribuidoras de energia elétrica. A motivação para desenvolvê-la surgiu da necessidade das distribuidoras por um modelo de suporte a formulação de estratégias capazes de reduzir o grau inadimplência. A metodologia proposta consiste em um sistema inteligente híbrido composto por módulos intercomunicativos que usam conhecimentos armazenados em base de dados para segmentar consumidores e, então, atingir o objetivo proposto. O sistema inicia-se com o módulo neural, que aloca as unidades consumidoras em grupos conforme similaridades (valor fatura, consumo, demanda medida/demanda contratada, intensidade energética e peso da conta no orçamento), em sequência, o módulo bayesiano, estabelece um escore entre 0 e 1 que permite predizer o perfil de pagamento das unidades considerando os grupos gerados e os atributos categóricos (atividade econômica, estrutura tarifária, mesorregião, natureza jurídica e porte empresarial) que caracterizam essas unidades. Os resultados revelaram que o sistema proposto estabelece razoável taxa de acerto na classificação do perfil de consumidores e, portanto, constitui uma importante ferramenta de suporte a formulação de estratégias para combate à inadimplência. Conclui-se que, o sistema híbrido proposto apresenta caráter generalista podendo ser adaptado e implementado em outros mercados. / [en] The objective of this research is to classify the non-residential electricity customer payment profiles regarding the knowledge stored in electricity distribution utilities databases. The motivation for development of the work from the need of electricity distribution by a support model to formulate strategies for tackling non-payment and late payment. The proposed methodology consists of a hybrid intelligent system constituted by intercommunicating modules that use knowledge stored in database to customer segmentation and then achieve the proposed objective. The system begins with the neural module, which allocates the consuming units in groups according to similarities (bill amount, consumption, measured demand/contracted demand, energy intensity and share of the electricity bill in the customer s income), in sequence, the Bayesian module establishes a score between 0 and 1 that allows to predict what payment profile of the units considering the generated groups and categorical attributes (business activity, tariff type, business size, mesoregion and company s legal form) that characterize these units. The results showed that the proposed system provides a reasonable success rate when classifying customer profiles and thus constitutes an important tool in the formulation of strategies for tackling non-payment and late payment. In conclusion, the hybrid system proposed here is a generalist one and could usefully be adapted and implemented in other markets.

Power losses are always a cause of worry for any power grid. In India, the situation is even worse. Though recent reports by Ministry of Power shows that Aggregate Technical and Commercial losses (AT &C losses) have come down from 36.64% in 2002-03 to 27% in 2011-12, yet they are much higher than the losses seen in many of the developed nations. The reduction shown in power loss is because of the Electricity Act, 2003 and the amendments made to it in 2007 which controlled the commercial losses rather than the technical losses. According to Ministry of Power, technical losses (Transmission & Distribution losses or T&D losses) in India are reported to be 23.65% in 2011-12. However, according to the study done by EPRI, for systems deployed in developed countries, these losses are estimated to be in the range of 7-15.5%. T & D losses occur in four system components namely step-up transformers and high voltage transmission (0.5-1%), step down to in intermediate voltage, transmission and step down to sub transmission voltage level (1.5-3%), sub-transmission system and step down to low voltage for distribution (2-4.5%), and distribution lines (3-7%). 1% of power loss is approximately equivalent to annual loss of Rs 600 million for a single state. Hence, in a year, loss in distribution line alone causes approximate loss of Rs 1.8-4.2 billion per state. Understanding and reducing power losses in distribution lines which contribute nearly 50% of the total T&D losses assume significance and has formed the motivation for the work reported in the thesis. In recent years, the trend has been to encourage users to generate solar power predominantly at residential complexes and captive power plants at industrial complexes. It has been suggested in the literature that Distributed Generation (DG) can not only reduce the load demanded from the power grid but also the power loss. In this thesis, it has been shown that by the choice of proper size and location of DG, the power loss can be reduced substantially as compared to unplanned deployment of DGs. The objective of the thesis is to design strategy for location of distributed user generated power to maximize the reduction in power loss. The thesis begins with a study of distributed generation in primary distribution networks and proceeds to problem formulation, with the aim being to develop an algorithm that can find out the optimal locations for DG allocation in a network. A greedy approximation algorithm, named OPLODER (i.e. Optimal Locations for Distributed Energy Resources), is proposed for the same and its performance on a benchmark data set is observed, which is found to be satisfactory. The thesis then moves on to describe the actual data of 101,881 commercial, residential and industrial consumers of Bangalore metropolitan area. A loss model is discussed and is used to calculate the line losses in LV part of the grid and loss is estimated for the said actual data. The detailed analysis of the losses in the distribution network shows that in most cases the losses are correlated with the sanctioned load. However there are also some outliers indicating otherwise. The analysis concludes that the distributed generated sources need to be optimally located in order to benefit fully. Also presented thereafter is a study about the impact of electrical properties and the structure of the network on power loss. In the second part of the thesis, OPLODER was again used to process the BESCOM data of 101,881 consumers by modeling them to be connected in three topologies namely Bus (i.e. linear structure), Star (i.e. directly connected) and Hybrid (i.e. tree structure). In case of Bus topology, when DG capacity available is 5% of the demand in substation, OPLODER reduced the loss from 14.65% to 10.75%, from 11.63% to 7.71% and from 13.33% to 9.24% for IISc, Brindavan, and Gokula substations respectively. Similarly, for the same amount of DG in case of star topology, OPLODER reduced loss from 1.75% to 1.26%, from 3.39% to 2.59% and from 2.96% to 1.99% for IISc, Brindavan, and Gokula substations respectively. Thereafter, the available real world data is re-modeled as a tree-type structure which is closer to the real world distribution network and OPLODER is run on it. The results obtained are similar to those presented above and are highly encouraging. When applied to the three substations viz. IISc, Brindavan and Gokula, the power loss dips from 9.95% to 7.42%, from 6.01% to 4.44% and from 8.07% to 5.95%, in case of DG used is 5% of the demand in substation. For the optimal strategies worked out in the thesis, additional overheads will be present. These overheads are studied and it has been found that the present infrastructure and technologies will be sufficient to handle the smart distribution network and the optimal strategy for distributed sources.

Submitted by LUCAS TELES DE FARIA null (lucas.teles.faria@gmail.com) on 2016-04-06T05:42:40Z No. of bitstreams: 1 TESE_DOUTORADO_ENG.ELETRICA_LUCAS-TELES-DE-FARIA.pdf: 4869615 bytes, checksum: 5cea8811bb7d053c5440e3d6fb5d55cd (MD5) / Approved for entry into archive by Juliano Benedito Ferreira (julianoferreira@reitoria.unesp.br) on 2016-04-07T19:51:32Z (GMT) No. of bitstreams: 1 faria_lt_dr_ilha.pdf: 4869615 bytes, checksum: 5cea8811bb7d053c5440e3d6fb5d55cd (MD5) / Made available in DSpace on 2016-04-07T19:51:32Z (GMT). No. of bitstreams: 1 faria_lt_dr_ilha.pdf: 4869615 bytes, checksum: 5cea8811bb7d053c5440e3d6fb5d55cd (MD5) Previous issue date: 2016-02-26 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / Neste trabalho o espaço geográfico é incorporado ao estudo das perdas não técnicas. Os trabalhos avaliados em perdas comumente não consideram a localização espacial das mesmas de forma explícita. No entanto, o estudo das características do lugar onde elas ocorrem pode trazer informações imprescindíveis para melhor compreensão do problema. O espaço é incorporado via técnicas de análise espacial de dados geográficos. A saber: análise espacial de padrões de pontos e análise espacial de dados agregados por áreas. A localização das perdas é obtida através de dados de inspeções reais georreferenciados obtidos a partir de uma concessionária de energia elétrica. Os atributos socioeconômicos do censo demográfico e da rede de distribuição de energia do lugar onde ocorrem as perdas são considerados via técnicas de regressões espaciais. São elas: modelo aditivo generalizado (GAM) e regressão geograficamente ponderada (GWR). Esses atributos são as variáveis independentes das regressões espaciais e auxiliam na explicação da disposição das perdas no espaço geográfico do município em estudo. Essas regressões são combinadas com as cadeias de Markov para produção de mapas de probabilidades de perdas. Esses mapas indicam as subáreas do município que são mais vulneráveis às perdas em termos probabilísticos. Por meio deles, estima-se a evolução das perdas não técnicas no espaço geográfico do município ao longo do tempo. Os mapas de probabilidade de perdas são uma ferramenta gráfica, de fácil interpretação e que auxiliam no planejamento de uma série de ações de prevenção e combate às perdas. Este estudo foi realizado em um município de porte médio do interior paulista com aproximadamente 81 mil unidades consumidoras, sendo que os resultados das simulações foram comparados com dados reais de inspeções em campo. A taxa de acerto para estimação das áreas vulneráveis às perdas via modelo aditivo generalizado (GAM) e cadeias e Markov foi superior a 80%. / In this work the geographic space is incorporated into the study of non-technical losses. Studies on non-technical losses do not often consider the spatial location of them explicitly. However, the study of the characteristics of the place where they occur can provide essential information to better understanding of the problem. The space is incorporated via spatial analysis techniques of geographical data; to know: spatial analysis of point patterns and spatial analysis of data aggregated by areas. The location of the losses is determined via georeferenced inspections data obtained from an electrical power utility. Socioeconomic attributes of the census and the distribution network of energy of the place where the losses occur are considered using the spatial regressions techniques; namely: generalized additive model (GAM) and geographically weighted regression (GWR). These attributes are the independent variables of spatial regressions and assist in the provision of the explanation of the losses in the geographical space of the city under study. These regressions are combined with Markov chains to produce the loss probability maps. These maps show the city subareas that are more vulnerable to losses in probabilistic terms. Through them, the evolution of non-technical losses in the geographical area of the city over the time is estimated. The loss probability maps are a graphical tool, easy to interpret and to assist in planning a series of actions to prevent and combat to losses. This study was conducted in a medium-sized city of São Paulo with about 81,000 consumer units, and the simulation results were compared with real data obtained in field inspections. The hit rate for the estimation of areas vulnerable to losses via generalized additive model (GAM) and Markov chains surpasses 80%.

The Decision-making in the activities in the electricity sector is an exercise considered indispensable to achieve the strategic objectives of the companies, especially with regard to medium and large investments aiming effective solutions of short, medium and long term for the power system. In this respect, decision-making methodologies are used at different levels of planning within any company in the industry. The electricity distribution companies, due to its large amount of assets and large concession areas, face these problems daily, in programming of maintenance activities, service in contingencies, expansion, among others. With regard to the planning of the system expansion, among the problems of charging voltage level equipment and the MT network, there are a number of solutions that may be analyzed and determined in accordance with cost-benefit. Glimpsing determine properly and optimally the best solutions for a given electrical system, this paper proposes the use of AHP (Analytic Hierarchy Process) to aid decision making and prioritization of works. The methodology allows encompass qualitative and quantitative criteria, based on the opinion of experts and statistical data. Among the criteria considered for the application of the methodology are the operating gain of the work with respect to technical losses, loading of the cables of the feeders, voltage level indicators and continuity of electricity supply, as well as physical and financial aspects related to extension feeders and total cost of the work. The technical results of each proposed solution are simulated by Interplan® software, which performs the power flow calculations by BFS methodology (Backward Forward Sweep), widely used in radial systems of power distribution. Based on the definition of these criteria, can be determined by applying the AHP the best solution for a given region. Among the alternatives of works are the installation of new equipment, renovation of networks, construction of new feeders and substations. The main contribution of this work is the possibility of using the model developed for other cases that have the same objective, through the adoption of standard criteria. / A tomada de decisão em atividades no setor elétrico é um exercício considerado indispensável para alcançar os objetivos estratégicos das empresas, principalmente no que diz respeito aos investimentos de médio e grande porte visando soluções eficazes de curto, médio e longo prazo para o sistema de potência. Nesse aspecto, metodologias de auxílio à tomada de decisão são utilizadas nos diferentes níveis de planejamento dentro de qualquer empresa do setor. As concessionárias de distribuição de energia elétrica, devido a sua grande quantidade de ativos e amplas áreas de concessão, enfrentam esses problemas diariamente, na programação das atividades de manutenção, atendimentos emergenciais, expansão, entre outras. No que diz respeito ao planejamento da expansão do sistema, entre os problemas de carregamento de equipamentos e níveis de tensão nas redes MT (Média Tensão), existem uma série de soluções que podem ser analisadas e definidas de acordo com o custo-benefício. Vislumbrando determinar de forma adequada e otimizada as melhores soluções para um determinado sistema elétrico, este trabalho propõe a utilização do método AHP (Analytic Hierarchy Process) para auxílio à tomada de decisão e priorização de obras. A metodologia permite englobar critérios qualitativos e quantitativos, considerando a opinião de especialistas e dados estatísticos. Entre os critérios considerados para a aplicação da metodologia estão o ganho operacional da obra com relação às perdas técnicas, carregamento dos condutores nos alimentadores, indicadores de nível de tensão e continuidade no fornecimento de energia elétrica, assim como aspectos físicos e financeiros, relacionados à extensão dos alimentadores e custo total da obra. Os resultados técnicos de cada solução proposta são simulados pelo software Interplan®, que realiza os cálculos de fluxo de potência através da metodologia BFS (Backward Forward Sweep), muito utilizada em sistemas radiais de distribuição de energia elétrica. Com base na definição desses critérios, é possível determinar através da aplicação do AHP qual a melhor solução para uma determinada região. Entre as alternativas de obras estão a instalação de novos equipamentos, recondutoramentos e construção de novos alimentadores e subestações. A principal contribuição deste trabalho é a possibilidade da utilização do modelo desenvolvido para outros casos que tenham este mesmo foco, através da adoção de critérios padrão.

CAPES / As variações de tensão de curta duração são perturbações típicas nos sistemas de distribuição de energia elétrica que afetam de forma significativa a qualidade da energia. Os equipamentos típicos para a regulação de tensão dispostos nas redes de distribuição em geral não são capazes de mitigar variações de tensão de curta duração. Entretanto, as unidades de geração distribuída conectadas aos sistemas de distribuição, considerando estratégias de controle adequadas, podem ser capazes de mitigar variações de tensão de curta duração nas proximidades do ponto de conexão. Nesse contexto, o presente trabalho propõe a mitigação de variações de tensão de curta duração a partir da utilização de unidades eólicas de geração baseadas em gerador síncrono de imã permanente (GSIP) conectado a rede por um conversor estático de potência. A mitigação das variações de tensão é feita por meio de uma malha de controle suplementar proposta aplicada ao controle tradicional do conversor do lado da rede. A estratégia de controle proposta explora a capacidade de operação em sobrecarga de corrente da unidade eólica e é capaz de mitigar variações de tensão de curta duração em sistemas de distribuição. A malha de controle suplementar proposta limita a geração de potência reativa na capacidade máxima de sobrecarga da unidade geradora, respeitando o limite térmico do conversor estático de energia. Além da malha de controle suplementar, uma metodologia baseada em estudos estáticos de fluxo de potência é proposta com o objetivo de avaliar a capacidade de regulação de tensão da geração eólica associada à malha de controle proposta. A capacidade da malha de controle proposta em mitigar as variações de tensão de curta duração é avaliada por meio de simulações não lineares no domínio do tempo envolvendo uma rede de distribuição com cargas concentradas. Diferentes níveis de inserção da geração eólica na rede de distribuição e outros fatores que impactam diretamente na regulação de tensão são considerados nos testes realizados. Os estudos realizados demonstram que utilização da estratégia de controle proposta aplicada a unidades eólicas de geração pode contribuir significativamente para a manutenção do perfil de tensão durante ocorrências de variações de tensão de curta duração. / The short duration voltage variations are typical disturbances that significantly affect the power quality in distribution systems. The typical devices for voltage support and regulation, distributed along the distribution networks, are generally not capable of mitigating short duration voltage variations. However, distributed generation units connected to the distribution system, when associated with suitable control strategies, can be able to mitigate short duration voltage variations. In this context, this paper proposes the mitigation of short duration voltage variations by using wind power generating units based on permanent magnet synchronous generator (PMSG) connected to the network by static power converter. The voltage variation mitigation is performed by means of a supplementary control loop added to the traditional control of the grid-side converter. The proposed control strategy takes advantage of the overload capability of the wind generation unit and it is able to mitigate short duration voltage variations in distribution systems. The proposed supplementary control loop limits the generated reactive power based on the overload capability of the generation unit, avoiding that the power electronic converter exceeds its thermal limit. Besides the proposed supplementary control loop, a methodology based on power flow studies is proposed in order to evaluate the voltage regulation capability of the wind generation associated with the proposed control loop. The performance and effectiveness of the control strategy proposed to mitigate short duration voltage variations is evaluated by means of time-domain non-linear simulations regarding a distribution network with lumped load. Different levels of integration of wind generation on the distribution network and other factors that directly impact on voltage regulation are considered in the tests. The performed evaluations have demonstrated that the proposed control strategy, applied to wind generation units, can significantly contribute to the maintenance of the voltage profile of distribution systems during the occurrence of short duration voltage variations.

Este trabalho estuda o impacto energético da otimização do tamanho do payload de códigos convolucionais em um enlace sem fio ponto-a-ponto dentro de uma rede de sensores. Consideram-se dois modelos de canal, AWGN e Rayleigh, visando representar cenários com diferentes características quanto à severidade de enlace. Nesse contexto, faz-se o estudo da otimização da relação sinal-ruído, da taxa de código empregada, bem como a otimização do tamanho do payload para diferentes condições de transmissão. Os dados numéricos obtidos através de simulação demonstram que existe um ponto ótimo para o tamanho do payload, que varia com a distância de transmissão e que proporciona ganhos em termos de eficiência energética, especialmente em enlaces de curta distância. / This paper studies the impact of the payload size in the energy efficiency in a point-to-point link in a wireless sensor network using convolutional codes. Two channel models are considered, AWGN and Rayleigh, representing distinct conditions with respect to the severity of the link. In this context, signal-to-noise ratio, code rate and payload size are optimized. The numeric results obtained through simulations show that there is an optimal point for the payload size, which depends on the transmission distance, and which provides gains in the overall energy efficiency, especially in short range links.

Thesis submitted in fulfillment of the requirements for the degree Master of Technology: Electrical Engineering in the Faculty of Engineering at the Cape Peninsula University of Technology 2013 / The development of power electronics did remove most of technical limitations that high voltage direct current (HVDC) used to have. HVDC, now, is mostly used for the transmission of bulk power over long distances and for the interconnection of asynchronous grid. Along with the development of the HVDC, the growth of power demand also increased beyond the utilities capacities. Besides the on-going increasing of power demand, the reforms in electricity market have led to the liberalization and the incorporation of Independent power providers in power system operation. Regulations and rules have been established by regulating authority for grid integration of Independent power providers. With the expected increase of penetration level of those new independent power providers, result of economic reason and actual green energy trend, best method of integration of those new power plants are required. In this research HVDC technology, namely VSC-HVDC is used as interface for connecting independent power providers units to the grid. VSC-HVDC has various advantages such as short-circuit contribution and independent control of active and reactive power. VSC-HVDC advantages are used for a safe integration of IPPs and make them participate to grid stabilization. MATLAB/Simulink simulations of different grid connected, through VSC-HVDC system, IPPs technologies models are performed. For each IPP technology model, system model performances are studied and dynamics responses during the disturbance are analyzed in MATLAB/ Simulink program. The simulation results show that the model satisfy the standard imposed by the regulating authority in terms of power quality and grid support. Also the results show the effect of the VSC-HVDC in preventing faults propagation from grid to integrated IPPs units.

Thesis (MTech (Electrical Engineering))--Cape Peninsula University of Technology, 2009 / The purpose of this project is to develop methods for distribution network power quality' variations monitoring. Power quality (PO) has become a significant issue for both power suppliers and customers. There have been important changes in power system regarding to power quality requirements. "Power quality" is the combination at voltage quality and current quality. The main research problem of the project is to investigate the power quality of a distribution network by selection of proper measurement, applying and developing the existing classic and modern signal conditioning methods for power disturbance's parameters extracting and monitoring. The research objectives are: To study the standard lEC 61000-4-30 requirements. to investigate the common couplings in the distribution network. To identity the points for measurement, to develop MySQL database for the data from the measurement and to develop MATLAB software tor simulation of the network To develop methods based on Fourier transforms for estimation of the parameters of the disturbances. To develop software for the methods implementation, The influence of different loads on power quality disturbances are considered in the distribution network. Points on the network and meters according to the lEC power quality standards are investigated and applied for the CPUT Bellville campus distribution network. The implementation of the power quality monitoring for the CPUT Bellville campus helps the quality of power supply to be improved and the used power to be reduced. MATLAB programs to communicate with the database and calculate the disturbances and power quality parameters are developed.

Orientador: José Roberto Sanches Mantovani / Banca: Ruben Augusto Romero Lázaro / Banca: Benemar Alencar de Souza / Resumo: Neste trabalho apresentam-se o desenvolvimento e a implementação de um algoritmo computacional para o problema de planejamento e projeto de circuitos secundários de distribuição de energia elétrica. O problema é formulado como um modelo de Programação Não Linear Inteiro Misto (PNLIM), e para sua solução propõe-se um algoritmo de Busca Tabu (BT). Esta ferramenta permite determinar e avaliar os custos dos elementos que compõem o sistema de distribuição (reforma e/ou construção de redes secundárias), evidenciando sua robustez e precisão. Os algoritmos de cálculo mecânico e definição de estruturas são baseados em normas técnicas para se determinar os postes e estruturas do sistema sob estudo. Os condutores são especificados pelo algoritmo de fluxo de potência trifásico respeitando as condições topológicas, físicas e ambientais. Toda metodologia de cálculo e projeto utilizada neste problema está de acordo com os Procedimentos de Distribuição do Sistema Elétrico Nacional (PRODIST). Para mostrar a eficiência do modelo proposto e da metodologia de planejamento e projeto desenvolvidos, apresentam-se resultados para dois sistemas reais de distribuição com 76 e 54 barras, respectivamente. / Abstract: In this work, the development and implementation of a computational algorithm for the planning and design of secondary circuits of power distribution systems problem, is presented. The problem is formulated as a Non-linear Integer Mixed Programming (NLIMP) problem; and for its solutions it is proposed a Tabu Search (TS) algorithm. This tool allows determining and evaluating the cost of elements that are part of the distribution system (upgrade and/or construction of secondary networks), showing its robustness and accuracy. Mechanic calculation algorithms and structure definitions are based on technical norms in order to determine poles and structures of the system under study. Conductors are specified by the three-phase power flow algorithm, satisfying topological, physical and environmental conditions. All the calculation and design methodology used in this problem agrees with the Distribution Procedures of the National Electric System (PRODIST). In order to show the efficiency of the proposed model and the developed planning and design methodology, results for to real-life distribution systems, with 76 and 54 buses, are presented. / Mestre

ANEEL / Em sistemas de distribuição de energia elétrica é comum o desenvolvimento de projetos que busquem a melhoria dos índices de equilíbrio de cargas, carregamento de transformadores e quedas de tensão ao longo dos circuitos da rede secundária. O presente trabalho apresenta modelos matemáticos de Programação Linear Inteira Mista (PLIM) para quatro das intervenções técnicas usualmente praticadas com vistas a estas melhorias: balanceamento de carga, troca de condutor, divisão de circuito e remanejamento de carga. Os modelos respeitam aspectos técnicos, elétricos e considerações operacionais dos especialistas na busca de soluções que minimizem o investimento necessário para restabelecimento destes índices. Um método linear simplificado para o cálculo elétrico, baseado no Backward-Forward Sweep (BFS), é proposto a fim de incluir restrições sobre níveis de tensão diretamente nos modelos. A realização conjunta das intervenções é sugerida em uma proposta de integração de modelos por encadeamento de soluções. Para desenvolvimento dos modelos PLIM criou-se o ambiente de modelagem Gusek, interface para o solver livre GLPK. Os modelos foram implementados em uma ferramenta de apoio à tomada de decisão para projetos de melhoria de rede. Resultados são apresentados através de estudos de caso com dados de circuitos reais. / In eletric power distribution systems it is common to develop projects to improve the levels of load balancing, transformer loading and voltage drops along secondary network circuits. This paper presents Mixed Integer Linear Programming (MILP) mathematical models for adressing four technical interventions usually undertaken to achieve these improvements: load balancing, conductor changing, circuit split, and load relocation. These models comply with technical and electrical aspects and satisfy operational considerations from specialists in finding solutions that minimize the required investment for restoration of circuit levels. A simplified linear power flow method, based on the Backward-Forward Sweep (BFS), is proposed to include voltage levels constraints into the models. The combination of interventions is suggested in a proposal for integration of models by chaining solutions. To develop the MILP models the GUSEK modeling environment was created as an interface for the GLPK free solver. The models were implemented in a decision-making support tool for network improvement projects. Results are presented through case studies with data from real circuits.