The Optimal Allocation of Distributed Generation with Nash Equilibrium based on Genetic Algorithms

Abstract

Distributed generation is expected to become more important in the future. 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 equilibrium between the economy and environmental of protection as being the goal. Secondly, the paper tries to use genetic algorithms to solve the Nash equilibrium points between economy and environmental protection. And then, using the IEEE33 nodes as distribution system case study. The conclusion shows that Nash equilibrium able to find more reasonably parameters of distributed generation system configuration. The economic cost slightly increases by 1.2%, and the environmental indicators decreases by 5.2%. It can also shows that Nash equilibrium able to find a balance between economy and environmental protection.