The theme of Master project of Energetics engineer is to analyze the information equipment. Is to analyze the utilitarian systems limitation at present. Describe the rising problems and benefit of successful solutions. Is to analyze extent and structure of distributing electricity network information system , to find the ways of why improve receiving of required information. Present the draft and vision of the information system. Present the attitudes to making information system, constitutional culture and ways to get information system. Describe the goals of information system and the characteristic of results.

The aim of the thesis was minimize the planned cost of construction of the electricity network in North Africa and the Arabian peninsula between solar power plant in Desertec project. The work is divided into three chapters. The first chapter is devoted Desertec concept, its key technologies, benefits and barriers. Another chapter is devoted to the theory of graphs. It consists of an introduction to graph theory, minimum spanning tree and Steiner tree. The third practical chapter is devoted to reduction of the initial projected cost of constructing Electric Supply network using Steiner tree and its modifications. It also addresses the issue of valuation of edges and nodes to which it is necessary to include a number of factors such as energy capacity to be transmitted, the type of transmission medium, environmental conditions, geomorphological aspects and other safety regulatory requirements.

Due to an increasing awareness of the importance of sustainable energy use, multi-objective optimization problems for upper-level energy systems are continually being developed and improved. This paper focuses on the modeling and optimization of the Helsinki district heating system and establishing the basis for modeling the Finnish power network. The optimization of the district heating system is conducted for a twenty four hour winter demand period. Partial load behavior of the generators is included by introducing non-linear functions for costs, emissions, and the exergetic efficiency. A fuel cost sensitivity analysis is conducted on the system by considering ten combinations of fuel costs based on high, medium, and low prices for each fuel. The solution sets, called Pareto fronts, are evaluated by post-processing techniques in order to determine the best solution from the optimal set. Because units between some of objective functions are non-commensurable, objective values are normalized and weighted. The results indicate that for today\'s fuel prices the best solution includes a dominating usage of natural gas technologies, while if the price of natural gas is higher than other fuels, natural gas technologies are often not included in the best solution. All of the necessary costs, emissions, and operating information is provided for the the Finnish power network in order to employ a multi-objective optimization on the system. / Master of Science

Le système électrique européen peut être décrit par le concept de système intégré, c'est à dire un réseau interconnecté dont l'organisation est découpée par diverses frontières administratives de nature légale, technique ou marchande. Dans ce contexte, l'amélioration de la coordination de l'opération sur ces frontières internes, pour un ensemble donné d'infrastructures, doit permettre une utilisation plus optimale des ressources disponibles.L'analyse économique de ces coordinations transfrontalières et du processus d'amélioration en cours en Europe en 2012 permet d'une part de tirer les enseignements de cette expérience et d'autre part de soutenir le processus d'amélioration en contribuant à la compréhension des enjeux par les acteurs. Pour cela, l'étude propose tout d'abord une synthèse sur la gestion du système électrique qui définit l'objet d'étude. Puis, le deuxième chapitre détaille une analyse fonctionnelle des mécanismes de coordination. Cette analyse permet de faire le lien avec des aspects techniques qui conditionnent l'organisation économique. Le troisième chapitre porte sur les méthodes d'évaluation des bénéfices, des coûts et des effets redistributifs d'une évolution de la coordination. Les chapitres quatre et cinq abordent ensuite deux angles institutionnels clés. Le premier est le rôle de l'Union Européenne dans l'établissement de règles communes à l'échelle du continent. Le second est la forme institutionnelle de l'engagement des Gestionnaires de Réseau de Transport (GRT) pour le succès de ces mécanismes de coordinations. / The electricity high voltage transmission networks are interconnected over most of the continents but this is not the case of the power system organizations. Indeed, as described with the concept of integrated power system, the organization over these large networks is divided by several kinds of internal borders. In this context, the research object, the cross-border coordination of operation, is a set of coordination arrangements over internal borders between differing regulatory, technical and market designs. These arrangements can include for instance the famous market couplings, some cost-sharing agreements or common security assessments among several other solutions. The existence and improvement of the cross-border coordination of operation can be beneficial to the whole integrated power system. This statement is verified in the European case as in 2012 where several regional and continental coordination arrangements are successfully implemented.In order to benefit from the European experience and contribute to support the European improvement process, this thesis investigates the cross-border coordination of operation in the European case with four angles of study. First, a modular framework is built to describe the existing solutions and the implementation choices from a regulatory point of view. Second, the thesis analyses the tools available to assess the impact of an evolution of the cross-border coordination. Third, the role of the European Union (EU) is described as critical both for the existing arrangements and to support the improvement process. The last angle of study focuses on two dimensions of the economic modes of coordination between transmission system operators.

Transportation is one of the sectors that directly touches the major challenges that energy utilities are faced with, namely, the significant increase in energy demand and environmental issues. In view of these concerns and the problems with the supply of oil, the pursuit of alternative fuels for meeting the future energy demand of the transport sector has gained much attention. The future of transportation is believed to be based on electric drives in fuel cell vehicles (FCVs) or plug-in electric vehicles (PEVs). There are compelling reasons for this to happen: the efficiency of electric drive is at least three times greater than that of combustion processes and these vehicles produce almost zero emissions, which can help relieve many environmental concerns. The future of PEVs is even more promising because of the availability of electricity infrastructure. Furthermore, governments around the world are showing interest in this technology by investing billions of dollars in battery technology and supportive incentive programs for the customers to buy these vehicles. In view of all these considerations, power systems specialists must be prepared for the possible impacts of these new types of loads on the system and plan for the optimal transition to these new types of vehicles by considering the electricity grid constraints. Electricity infrastructure is designed to meet the highest expected demand, which only occurs a few hundred hours per year. For the remaining time, in particular during off-peak hours, the system is underutilized and could generate and deliver a substantial amount of energy to other sectors such as transport by generating hydrogen for FCVs or charging the batteries in PEVs. This thesis investigates the technical and economic feasibility of improving the utilization of electricity system during off-peak hours through alternative-fuel vehicles (AFVs) and develops optimization planning models for the transition to these types of vehicles. These planning models are based on decomposing the region under study into different zones, where the main power generation and electricity load centers are located, and considering the major transmission corridors among them. An emission cost model of generation is first developed to account for the environmental impacts of the extra load on the electricity grid due to the introduction of AFVs. This is followed by developing a hydrogen transportation model and, consequently, a comprehensive optimization model for transition to FCVs in the context of an integrated electricity and hydrogen system. This model can determine the optimal size of the hydrogen production plants to be developed in different zones in each year, optimal hydrogen transportation routes and ultimately bring about hydrogen economy penetration. This model is also extended to account for optimal transition to plug-in hybrid electric vehicles (PHEVs). Different aspects of the proposed transition models are discussed on a developed 3-zone test system. The practical application of the proposed models is demonstrated by applying them to Ontario, Canada, with the purpose of finding the maximum potential penetrations of AFVs into Ontario’s transport sector by 2025, without jeopardizing the reliability of the grid or developing new infrastructure. Applying the models to this real-case problem requires the development of models for Ontario’s transmission network, generation capacity and base-load demand during the planning study. Thus, a zone-based model for Ontario’s transmission network is developed relying on major 500 and 230 kV transmission corridors. Also, based on Ontario’s Integrated Power System Plan (IPSP) and a variety of information provided by the Ontario Power Authority (OPA) and Ontario’s Independent Electricity System Operator (IESO), a zonal pattern of base-load generation capacity is proposed. The optimization models developed in this study involve many parameters that must be estimated; however, estimation errors may substantially influence the optimal solution. In order to resolve this problem, this thesis proposes the application of robust optimization for planning the transition to AFVs. Thus, a comprehensive sensitivity analysis using Monte Carlo simulation is performed to find the impact of estimation errors in the parameters of the planning models; the results of this study reveals the most influential parameters on the optimal solution. Having a knowledge of the most affecting parameters, a new robust optimization approach is applied to develop robust counterpart problems for planning models. These models address the shortcoming of the classical robust optimization approach where robustness is ensured at the cost of significantly losing optimality. The results of the robust models demonstrate that with a reasonable trade-off between optimality and conservatism, at least 170,000 FCVs and 900,000 PHEVs with 30 km all-electric range (AER) can be supported by Ontario’s grid by 2025 without any additional grid investments.

Transportation is one of the sectors that directly touches the major challenges that energy utilities are faced with, namely, the significant increase in energy demand and environmental issues. In view of these concerns and the problems with the supply of oil, the pursuit of alternative fuels for meeting the future energy demand of the transport sector has gained much attention. The future of transportation is believed to be based on electric drives in fuel cell vehicles (FCVs) or plug-in electric vehicles (PEVs). There are compelling reasons for this to happen: the efficiency of electric drive is at least three times greater than that of combustion processes and these vehicles produce almost zero emissions, which can help relieve many environmental concerns. The future of PEVs is even more promising because of the availability of electricity infrastructure. Furthermore, governments around the world are showing interest in this technology by investing billions of dollars in battery technology and supportive incentive programs for the customers to buy these vehicles. In view of all these considerations, power systems specialists must be prepared for the possible impacts of these new types of loads on the system and plan for the optimal transition to these new types of vehicles by considering the electricity grid constraints. Electricity infrastructure is designed to meet the highest expected demand, which only occurs a few hundred hours per year. For the remaining time, in particular during off-peak hours, the system is underutilized and could generate and deliver a substantial amount of energy to other sectors such as transport by generating hydrogen for FCVs or charging the batteries in PEVs. This thesis investigates the technical and economic feasibility of improving the utilization of electricity system during off-peak hours through alternative-fuel vehicles (AFVs) and develops optimization planning models for the transition to these types of vehicles. These planning models are based on decomposing the region under study into different zones, where the main power generation and electricity load centers are located, and considering the major transmission corridors among them. An emission cost model of generation is first developed to account for the environmental impacts of the extra load on the electricity grid due to the introduction of AFVs. This is followed by developing a hydrogen transportation model and, consequently, a comprehensive optimization model for transition to FCVs in the context of an integrated electricity and hydrogen system. This model can determine the optimal size of the hydrogen production plants to be developed in different zones in each year, optimal hydrogen transportation routes and ultimately bring about hydrogen economy penetration. This model is also extended to account for optimal transition to plug-in hybrid electric vehicles (PHEVs). Different aspects of the proposed transition models are discussed on a developed 3-zone test system. The practical application of the proposed models is demonstrated by applying them to Ontario, Canada, with the purpose of finding the maximum potential penetrations of AFVs into Ontario’s transport sector by 2025, without jeopardizing the reliability of the grid or developing new infrastructure. Applying the models to this real-case problem requires the development of models for Ontario’s transmission network, generation capacity and base-load demand during the planning study. Thus, a zone-based model for Ontario’s transmission network is developed relying on major 500 and 230 kV transmission corridors. Also, based on Ontario’s Integrated Power System Plan (IPSP) and a variety of information provided by the Ontario Power Authority (OPA) and Ontario’s Independent Electricity System Operator (IESO), a zonal pattern of base-load generation capacity is proposed. The optimization models developed in this study involve many parameters that must be estimated; however, estimation errors may substantially influence the optimal solution. In order to resolve this problem, this thesis proposes the application of robust optimization for planning the transition to AFVs. Thus, a comprehensive sensitivity analysis using Monte Carlo simulation is performed to find the impact of estimation errors in the parameters of the planning models; the results of this study reveals the most influential parameters on the optimal solution. Having a knowledge of the most affecting parameters, a new robust optimization approach is applied to develop robust counterpart problems for planning models. These models address the shortcoming of the classical robust optimization approach where robustness is ensured at the cost of significantly losing optimality. The results of the robust models demonstrate that with a reasonable trade-off between optimality and conservatism, at least 170,000 FCVs and 900,000 PHEVs with 30 km all-electric range (AER) can be supported by Ontario’s grid by 2025 without any additional grid investments.

The electricity high voltage transmission networks are interconnected over most of the continents but this is not the case of the power system organizations. Indeed, as described with the concept of integrated power system, the organization over these large networks is divided by several kinds of internal borders. In this context, the research object, the cross-border coordination of operation, is a set of coordination arrangements over internal borders between differing regulatory, technical and market designs. These arrangements can include for instance the famous market couplings, some cost-sharing agreements or common security assessments among several other solutions. The existence and improvement of the cross-border coordination of operation can be beneficial to the whole integrated power system. This statement is verified in the European case as in 2012 where several regional and continental coordination arrangements are successfully implemented.In order to benefit from the European experience and contribute to support the European improvement process, this thesis investigates the cross-border coordination of operation in the European case with four angles of study. First, a modular framework is built to describe the existing solutions and the implementation choices from a regulatory point of view. Second, the thesis analyses the tools available to assess the impact of an evolution of the cross-border coordination. Third, the role of the European Union (EU) is described as critical both for the existing arrangements and to support the improvement process. The last angle of study focuses on two dimensions of the economic modes of coordination between transmission system operators.