Orientador: Antonio Padilha Feltrin / Resumo: Este trabalho apresenta uma proposta de estratégia global de controle de tensão que emprega programação não linear e duas extensões de estratégias de controle de tensão, encontrados na literatura. O principal objetivo destas estratégias é solucionar o problema de aumento de tensão nas redes de distribuição de baixa tensão, causado pela injeção de potência do gerador fotovoltaico distribuído. Estas estratégias de controle de tensão foram implementadas e analisadas a fim de verificar a sua eficácia e comparar os seus comportamentos. Para os testes, foram considerados a operação de geradores fotovoltaicos monofásicos e trifásicos distribuídos em um sistema teste de distribuição em baixa tensão. Os resultados mostraram que depois da aplicação das estratégias de controle, os perfis de tensão em regime permanente ficaram dentro da faixa de tensão permitida, obtendo-se uma mínima redução de potência ativa injetada dos geradores fotovoltaicos com os seus correspondentes fatores de potência. / Abstract: This work presents a proposal of a global voltage control strategy that use nonlinear programming and two extensions of voltage control strategies that are found in the literature. The main objective of these strategies is to solve the problem of voltage increase in low voltage distribution networks, caused by the power injection of the distributed photovoltaic generator. These voltage control strategies have been implemented and analyzed in order to verify their effectiveness and compare their behaviors. For the test, the operation of single-phase and three-phase photovoltaic generators distributed in a low voltage distribution test system were considered. The results showed that after the application of the control strategies, the steady-state voltage profiles were whihin the allowed voltage range, obtaining a minimum reduction of the active power injection of the photovoltaic generators with their corresponding powe factors. / Mestre

La consommation d'énergie augmente d'année en année en raison de la croissance de la population et des conditions économiques. Afin de répondre aux besoins de la population et de la société d'utiliser l'électricité, le Gouvernement Cambodgien a mis en place la politique de promotion et d'encouragement du développement de l’électrification ; tous les villages auront de l'électricité d'ici 2020 et au moins 70% des domiciles auront accès à la bonne qualité du réseau électrique d'ici 2030. Pour réussir ces objectifs, l'étude et le développement de la méthodologie du réseau de distribution basse tension (BT) sont étudiés. Cette thèse étudie la planification du réseau de distribution BT avec intégration de Photovoltaïque (PV) et de stockage d’énergie de batterie (BES). La première partie est développée la méthode de planification à long terme pour tacler le défi de l'incertitude sur la charge en zone urbaine ;le nouvel algorithme a été développé pour rechercher l'architecture optimale de minimisation du coût d’investissement (CAPEX) et d’exploitation (OPEX) qui respecte l'ensemble de contraintes topologies et électriques (courant et tension) grâce à la programmation linéaire mixte en nombres entiers à contraintes quadratiques (PLMNECQ), le plus court chemin , first-fit bin-packing, et la méthode de Monte-Carlo. La deuxième partie est traité de l'extension de la zone de couverture de l'électricité avec deux solutions possibles, sont le renforcement du réseau et l'intégration de PV-BES pour le village rural ; l'algorithme génétique (GA) et la technique itérative ont été codés pour rechercher l’emplacement et la capacité. La dernière partie du travail est concentrée sur la planification du réseau de distribution résidentielle BT pour les zones non électrifiées aux rural et urbain grâce à l'architecture optimale et l'intégration de PV-BES sur l'horizon de planification. / The energy consumption is increasing year by year due to the growth of population and the economic conditions. In order to meet the need of population and society to use electricity, the Cambodian government has established the policy to promote and encourage the development of electrification; all the villages will have electricity by the year 2020, and at least 70% of households will have access to grid quality by the year 2030. To achieve these goals, the study and development of methodology on the Low-Voltage (LV) distribution system are investigated. This thesis studies the planning of LV distribution system with integration of Photovoltaic (PV) and Battery Energy Storage (BES). The first part is developed the long-term planning method to tackle the challenge of load demand uncertainty in urban area; the novel algorithm was developed to search for the optimal architecture of minimizing the capital expenditure (CAPEX) and the operation expenditure (OPEX) which respects to the set of topology and electrical (current and voltage) thank to mixed integer quadratically constrained programming (MIQCP), shortest-path, first-fit bin-packing, and Monte-Carlo method. The second part is dealt with the extension of electricity coverage area with two possible solutions which are grid reinforcement and integration of PV-BES for rural village; the Genetic algorithm (GA) and iterative technique were coded to search for location and sizing. The last part is concentrated on the planning of residential low-voltage distribution system in both rural and urban for non-electrified area thanks to the optimal architecture and PV-BES integration over the planning horizon.

Submitted by JAIMIS SAJID LEON COLQUI null (jeimis.leon@gmail.com) on 2017-06-30T12:04:16Z No. of bitstreams: 1 Dissertação_Jaimis Leon_Eng_Eletrica.pdf: 1870541 bytes, checksum: cb3fb21a21d28fea6773b5e6d6b213bd (MD5) / Approved for entry into archive by Luiz Galeffi (luizgaleffi@gmail.com) on 2017-06-30T14:27:39Z (GMT) No. of bitstreams: 1 leoncolqui_js_me_ilha.pdf: 1870541 bytes, checksum: cb3fb21a21d28fea6773b5e6d6b213bd (MD5) / Made available in DSpace on 2017-06-30T14:27:39Z (GMT). No. of bitstreams: 1 leoncolqui_js_me_ilha.pdf: 1870541 bytes, checksum: cb3fb21a21d28fea6773b5e6d6b213bd (MD5) Previous issue date: 2017-01-30 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / Este trabalho apresenta uma proposta de estratégia global de controle de tensão que emprega programação não linear e duas extensões de estratégias de controle de tensão, encontrados na literatura. O principal objetivo destas estratégias é solucionar o problema de aumento de tensão nas redes de distribuição de baixa tensão, causado pela injeção de potência do gerador fotovoltaico distribuído. Estas estratégias de controle de tensão foram implementadas e analisadas a fim de verificar a sua eficácia e comparar os seus comportamentos. Para os testes, foram considerados a operação de geradores fotovoltaicos monofásicos e trifásicos distribuídos em um sistema teste de distribuição em baixa tensão. Os resultados mostraram que depois da aplicação das estratégias de controle, os perfis de tensão em regime permanente ficaram dentro da faixa de tensão permitida, obtendo-se uma mínima redução de potência ativa injetada dos geradores fotovoltaicos com os seus correspondentes fatores de potência. / This work presents a proposal of a global voltage control strategy that use nonlinear programming and two extensions of voltage control strategies that are found in the literature. The main objective of these strategies is to solve the problem of voltage increase in low voltage distribution networks, caused by the power injection of the distributed photovoltaic generator. These voltage control strategies have been implemented and analyzed in order to verify their effectiveness and compare their behaviors. For the test, the operation of single-phase and three-phase photovoltaic generators distributed in a low voltage distribution test system were considered. The results showed that after the application of the control strategies, the steady-state voltage profiles were whihin the allowed voltage range, obtaining a minimum reduction of the active power injection of the photovoltaic generators with their corresponding powe factors.

In recent years there has been a large increase in the connection of photovoltaic generators to the low voltage distribution network in urban residential areas. In the future, it is predicted that this trend will continue and be accompanied with a rise in the uptake and connection of electric vehicles and heat pumps. Recently, monitoring trials have found widespread current unbalance in the feeders that transmit electrical energy to and from these urban residential areas. This unbalance is likely to be accentuated by the gradual and piecemeal uptake of the aforementioned devices. The combined impact of the changes and present day unbalance is likely to be more frequent thermal and voltage constraint violations unless new strategies are adopted to manage the flow of electrical energy. Here, a novel device named the 'phase switcher' that has no customer compliance requirements is proposed as a new tool for distribution network operators to manage the thermal and voltage constraints of cables. The phase switcher is shown to unlock cable ampacity and maximise voltage headroom and it achieves this through phase balancing in real time. A centralised local feeder controller is simulated to employ dynamic and scheduled phase switcher control algorithms on a real network model, and it's ability to unlock cable ampacity and reduce cable losses is quantified. Also, a small model based controller algorithm is presented and shown to perform almost as well as others despite having a very limited sensing and communication system requirement. Phase switchers are also quantified for their ability to increase feeder voltage headroom when employed to improve the balance of photovoltaic distributed generators across phases. To this end, an exhaustive offline photovoltaic capacity prediction technique is documented which shows that when phase switchers are placed explicitly to a known photovoltaic installation scenario, an almost linear relationship exists between the penetration level and maximum node voltage when PSs or phase conductor rejointing is considered as an option for implementation. Finally, a fast feeder assessment algorithm is detailed that is found to be better and more robust at estimating extreme maximum and minimum photovoltaic penetration level scenarios that cause over-voltage. All the work is presented within a new general mathematical framework that facilitates formulation of the problem and calculation of device phase connections for networks containing phase switchers.

The monitoring and control of low voltage distribution grids has historically been disregarded due to the unidirectional flow of power. However, nowadays the massive integration of distributed energy resources into distribution grids, such as solar photovoltaics, distributed storage, electric vehicles and demand response programs, presents some challenges. For instance, the unidirectional top-down power flow is being replaced by power flows in any direction: top-down and bottom-up. This paradigm shift adds extra regulatory, economic, and technical complexity for the Distribution System Operators (DSO). Thus to overcome the possible operational constraints, thermal limits, or voltage problems in the grid, an update of the existing electricity infrastructures is required. In response to this new situation, this thesis investigates the cost-effective communication and control architectures that are required for active low voltage grid monitoring and control applications, considering the regulatory constraints and the efficient utilization of the assets from a DSO’s perspective. The solutions include: i) optimal sensor placement configuration to perform low voltage state estimation, ii) optimal metering infrastructure designs for active low voltage monitoring applications, iii) coordinated control strategies to allow the integration of microgrid-like structures into the distribution grids, iv) optimal placement of actuators for operating the control strategies, v) a multiagent-based control solution for self-healing and feeder reconfiguration applications, and vi) a framework model and simulations to assess the reliability of the ICT infrastructure that enables the monitoring and control applications. As concluding remark, since the deployment of technology at low voltage grids is restricted to assets owned by the DSO, the operability of the grid is limited. This condition makes it so that the required communication and control enhancement solutions shall prioritize cost-effectiveness over comprehensiveness and complexity. Thus, the results from the presented studies show that it is essential to perform thorough cost-benefit analyses of the potential improvement solutions for each grid, because this will allow deploying the right technology only at the necessary locations. / <p>QC 20171106</p><p></p>

Το θέμα της παρούσας διπλωματικής εργασίας είναι η μελέτη της συμπεριφοράς απαγωγέων υπερτάσεων (SPD), όταν αυτοί αποτελούν μέρος του εσωτερικού συστήματος αντικεραυνικής προστασίας για μια οικιακή εγκατάσταση. Αρχικά γίνεται μια αναφορά στα αίτια δημιουργίας κρουστικών υπερτάσεων στο δίκτυο διανομής, ενώ στη συνέχεια δίνεται έμφαση στις υπερτάσεις που προκαλούνται από άμεσα ή έμμεσα κεραυνικά πλήγματα στο σύστημα. Στα πλαίσια της μελέτης δημιουργήθηκε ένα μοντέλο προσομοίωσης που αναπαριστά ένα δίκτυο χαμηλής τάσης TN-C-S με δύο πανομοιότυπους οικιακούς καταναλωτές, όσον αφορά τη δομή της εσωτερικής ηλεκτρικής εγκατάστασής τους παρουσία ή μη διατάξεων αντικεραυνικής προστασίας. Σκοπός της προκειμένης μελέτης είναι να δειχθεί η βέλτιστη συνδεσμολογία των διατάξεων προστασίας μέσα σε εσωτερικές ηλεκτρικές εγκαταστάσεις έτσι ώστε να αποτρέπεται η ανάπτυξη επικίνδυνων τάσεων και ρευμάτων για τον άνθρωπο και τον εξοπλισμό της οικιακής εγκατάστασης. / The subject of this project is a study upon the dynamic performance of surge arresters as a part of the internal lightning protection system for a residential electrical installation. At first, a reference about the actions or the natural phenomena that cause surge overvoltages in low voltage systems is given in detail and is followed by an essential theoretical approach on the lighning phenomenon. Both the causes, the consequences and the conditions in which a lightning occurs are being analysed. Furthermore, the characteristics and the qualifications a Lightning Protection System needs to comply with, are given, according to the Greek Standard ΕΛΟΤ-1197 and the European Standards IEC 62305-2, IEC 61643-12. Along with writing this essay, a simulation model using Simulink-Matlab was produced. The model represents a LV TN-C-S system that distributes power to two households with identical internal electrical installation. The aim of the present study is to indicate the optimal connection of the surge protective devices (SPDs) in the domestic electrical installation in order to prevent the appearance of potentially dangerous overvoltages to the humans or to the household equipment.

This paper deals with possible ways of voltage regulation. Theoretical part includes a search of published methods and the available voltage regulators. Acquired theoretical knowledge has been applied in the development of mathematical models of two selected controllers applied to the testing network. The result of this work is a summary of the outcomes of dynamic simulations with two selected regulators at various locations in testing network. Comparing the results of dynamic simulation for two selected states was chosen the most appropriate regulator and its optimal location in testing network.

[ES] La gran mayoría de procesos del mundo real tienen incertidumbres inherentes, las cuales, al ser consideradas en el proceso de modelado, se puede obtener una representación que describa con la mayor precisión posible el comportamiento del proceso real. En la mayoría de casos prácticos, se considera que éstas tienen un comportamiento estocástico y sus descripciones como distribuciones de probabilidades son conocidas. Las estrategias de MPC estocástico están desarrolladas para el control de procesos con incertidumbres de naturaleza estocástica, donde el conocimiento de las propiedades estadísticas de las incertidumbres es aprovechado al incluirlo en el planteamiento de un problema de control óptimo (OCP). En éste, y contrario a otros esquemas de MPC, las restricciones duras son relajadas al reformularlas como restricciones de tipo probabilísticas con el fin de reducir el conservadurismo. Esto es, se permiten las violaciones de las restricciones duras originales, pero tales violaciones no deben exceder un nivel de riesgo permitido. La no-convexidad de tales restricciones probabilísticas hacen que el problema de optimización sea prohibitivo, por lo que la mayoría de las estrategias de MPC estocástico en la literatura se diferencian en la forma en que abordan tales restricciones y las incertidumbres, para volver el problema computacionalmente manejable. Por un lado, están las estrategias deterministas que, fuera de línea, convierten las restricciones probabilísticas en unas nuevas de tipo deterministas, usando la propagación de las incertidumbres a lo largo del horizonte de predicción para ajustar las restricciones duras originales. Por otra parte, las estrategias basadas en escenarios usan la información de las incertidumbres para, en cada instante de muestreo, generar de forma aleatoria un conjunto de posibles evoluciones de éstas a lo largo del horizonte de predicción. De esta manera, convierten las restricciones probabilísticas en un conjunto de restricciones deterministas que deben cumplirse para todos los escenarios generados. Estas estrategias se destacan por su capacidad de incluir en tiempo real información actualizada de las incertidumbres. No obstante, esta ventaja genera inconvenientes como su gasto computacional, el cual aumenta conforme lo hace el número de escenarios y; por otra parte, el efecto no deseado en el problema de optimización, causado por los escenarios con baja probabilidad de ocurrencia, cuando se usa un conjunto de escenarios pequeño. Los retos mencionados anteriormente orientaron esta tesis hacia los enfoques de MPC estocástico basado en escenarios, produciendo tres contribuciones principales. La primera consiste en un estudio comparativo de un algoritmo del grupo determinista con otro del grupo basado en escenarios; se hace un especial énfasis en cómo cada uno de estos aborda las incertidumbres, transforma las restricciones probabilísticas y en la estructura de su OCP, además de señalar sus aspectos más destacados y desafíos. La segunda contribución es una nueva propuesta de algoritmo MPC, el cual se basa en escenarios condicionales, diseñado para sistemas lineales con incertidumbres correlacionadas. Este esquema aprovecha la existencia de tal correlación para convertir un conjunto de escenarios inicial de gran tamaño en un conjunto de escenarios más pequeño con sus probabilidades de ocurrencia, el cual conserva las características del conjunto inicial. El conjunto reducido es usado en un OCP en el que las predicciones de los estados y entradas del sistema son penalizadas de acuerdo con las probabilidades de los escenarios que las componen, dando menor importancia a los escenarios con menores probabilidades de ocurrencia. La tercera contribución consiste en un procedimiento para la implementación del nuevo algoritmo MPC como gestor de la energía en una microrred en la que las previsiones de las energías renovables y las cargas están correlacionadas. / [CA] La gran majoria de processos del món real tenen incerteses inherents, les quals, en ser considerades en el procés de modelatge, es pot obtenir una representació que descriga amb la major precisió possible el comportament del procés real. En la majoria de casos pràctics, es considera que aquestes tenen un comportament estocàstic i les seues descripcions com a distribucions de probabilitats són conegudes. Les estratègies de MPC estocàstic estan desenvolupades per al control de processos amb incerteses de naturalesa estocàstica, on el coneixement de les propietats estadístiques de les incerteses és aprofitat en incloure'l en el plantejament d'un problema de control òptim (OCP). En aquest, i contrari a altres esquemes de MPC, les restriccions dures són relaxades en reformulades com a restriccions de tipus probabilístiques amb la finalitat de reduir el conservadorisme. Això és, es permeten les violacions de les restriccions dures originals, però tals violacions no han d'excedir un nivell de risc permès. La no-convexitat de tals restriccions probabilístiques fan que el problema d'optimització siga computacionalment immanejable, per la qual cosa la majoria de les estratègies de MPC estocàstic en la literatura es diferencien en la forma en què aborden tals restriccions i les incerteses, per a tornar el problema computacionalment manejable. D'una banda, estan les estratègies deterministes que, fora de línia, converteixen les restriccions probabilístiques en unes noves de tipus deterministes, usant la propagació de les incerteses al llarg de l'horitzó de predicció per a ajustar les restriccions dures originals. D'altra banda, les estratègies basades en escenaris usen la informació de les incerteses per a, en cada instant de mostreig, generar de manera aleatòria un conjunt de possibles evolucions d'aquestes al llarg de l'horitzó de predicció. D'aquesta manera, converteixen les restriccions probabilístiques en un conjunt de restriccions deterministes que s'han de complir per a tots els escenaris generats. Aquestes estratègies es destaquen per la seua capacitat d'incloure en temps real informació actualitzada de les incerteses. No obstant això, aquest avantatge genera inconvenients com la seua despesa computacional, el qual augmenta conforme ho fa el nombre d'escenaris i; d'altra banda, l'efecte no desitjat en el problema d'optimització, causat pels escenaris amb baixa probabilitat d'ocurrència, quan s'usa un conjunt d'escenaris xicotet. Els reptes esmentats anteriorment van orientar aquesta tesi cap als enfocaments de MPC estocàstic basat en escenaris, produint tres contribucions principals. La primera consisteix en un estudi comparatiu d'un algorisme del grup determinista amb un altre del grup basat en escenaris; on es fa un especial èmfasi en com cadascun d'aquests aborda les incerteses, transforma les restriccions probabilístiques i en l'estructura del seu problema d'optimització, a més d'assenyalar els seus aspectes més destacats i desafiaments. La segona contribució és una nova proposta d'algorisme MPC, el qual es basa en escenaris condicionals, dissenyat per a sistemes lineals amb incerteses correlacionades. Aquest esquema aprofita l'existència de tal correlació per a convertir un conjunt d'escenaris inicial de gran grandària en un conjunt d'escenaris més xicotet amb les seues probabilitats d'ocurrència, el qual conserva les característiques del conjunt inicial. El conjunt reduït és usat en un OCP en el qual les prediccions dels estats i entrades del sistema són penalitzades d'acord amb les probabilitats dels escenaris que les componen, donant menor importància als escenaris amb menors probabilitats d'ocurrència. La tercera contribució consisteix en un procediment per a la implementació del nou algorisme MPC com a gestor de l'energia en una microxarxa en la qual les previsions de les energies renovables i les càrregues estan correlacionades. / [EN] The vast majority of real-world processes have inherent uncertainties, which, when considered in the modelling process, can provide a representation that most accurately describes the behaviour of the real process. In most practical cases, these are considered to have stochastic behaviour and their descriptions as probability distributions are known. Stochastic model predictive control algorithms are developed to control processes with uncertainties of a stochastic nature, where the knowledge of the statistical properties of the uncertainties is exploited by including it in the optimal control problem (OCP) statement. Contrary to other model predictive control (MPC) schemes, hard constraints are relaxed by reformulating them as probabilistic constraints to reduce conservatism. That is, violations of the original hard constraints are allowed, but such violations must not exceed a permitted level of risk. The non-convexity of such probabilistic constraints renders the optimisation problem computationally unmanageable, thus most stochastic MPC strategies in the literature differ in how they deal with such constraints and uncertainties to turn the problem computationally tractable. On the one hand, there are deterministic strategies that, offline, convert probabilistic constraints into new deterministic ones, using the propagation of uncertainties along the prediction horizon to tighten the original hard constraints. Scenario-based approaches, on the other hand, use the uncertainty information to randomly generate, at each sampling instant, a set of possible evolutions of uncertainties over the prediction horizon. In this fashion, they convert the probabilistic constraints into a set of deterministic constraints that must be fulfilled for all the scenarios generated. These strategies stand out for their ability to include real-time updated uncertainty information. However, this advantage comes with inconveniences such as computational effort, which grows as the number of scenarios does, and the undesired effect on the optimisation problem caused by scenarios with a low probability of occurrence when a small set of scenarios is used. The aforementioned challenges steered this thesis toward stochastic scenario-based MPC approaches, and yielded three main contributions. The first one consists of a comparative study of an algorithm from the deterministic group with another one from the scenario-based group, where a special emphasis is made on how each of them deals with uncertainties, transforms the probabilistic constraints and on the structure of the optimisation problem, as well as pointing out their most outstanding aspects and challenges. The second contribution is a new proposal for a MPC algorithm, which is based on conditional scenarios, developed for linear systems with correlated uncertainties. This scheme exploits the existence of such correlation to convert a large initial set of scenarios into a smaller one with their probabilities of occurrence, which preserves the characteristics of the initial set. The reduced set is used in an OCP in which the predictions of the system states and inputs are penalised according to the probabilities of the scenarios that compose them, giving less importance to the scenarios with lower probabilities of occurrence. The third contribution consists of a procedure for the implementation of the new MPC algorithm as an energy manager in a microgrid in which the forecasts of renewables and loads are correlated. / González Querubín, EA. (2024). Scenario-Based Model Predictive Control for Systems with Correlated Uncertainties [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/203887