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The Optimal Allocation Of Distributed Generationn With Nash Equilibrium Using Improved Genetic Algorithm

Posted on:2017-03-18Degree:MasterType:Thesis
Country:ChinaCandidate:N B WeiFull Text:PDF
GTID:2272330488983989Subject:Circuits and Systems
Abstract/Summary:PDF Full Text Request
Distributed power grid, has some effect on system structure, bringing power grid node voltage, network flow, net loss of influence. Meanwhile, distributed power grid, to a certain extent to save investment, reduce energy consumption and improve the security and flexibility of the system. Study on distributed power and volume configuration on the combined effect of the economic costs and environmental costs of the system, this paper studies the optimal configuration of distributed power.Distributed generation technologies are introduced, and theoretical analysis of the influence of grid-connected distributed generation on power systems. Distributed power grid, voltage level as a whole has a supporting role to the system, you can improve the security and stability of the system on the other, caused some security risks to the system, affects the safe and stable operation of the system; analysis shows that only a reasonable amount of distributed power supply configuration parameters, can enhance the security and stability of the system.Optimized configuration of the distributed generation is the foundation of economic and environmentally friendly operation of the system. To start with the configuring policies of distributed generation for input, the paper analyses the economy and environmental protection of the distributed generation connecting electric grid, and tries to pursuit the Nash balance point between the economy and environmental of protection as being the goal, and tries to build a green and economic indicators for participants in non-zero-sum game of mathematical problems, and tries to set up the economy and environmental protection computational model. Secondly, the paper tries to use genetic algorithm to work out Nash economy and environmental protection point. Based on genetic algorithm for solving optimization problems that arise in process analysis and algorithm improvement, ensure the accuracy and reliability of running. And then, using the IEEE33 node as distribution system case study. The conclusion shows that Nash equilibrium able to find more reasonably parameters of distributed power system configuration. And the economic cost of slightly increased 1.2%, the environmental indicators decreases 5.2%, which balances economic indicators and environmental indicators. It can also shows that Nash equilibrium able to find a balance between economy and environmental protection.
Keywords/Search Tags:distributed generation, optimize the allocation, environmental benefits, game theory, genetic algorithm
PDF Full Text Request
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