Allocation Research Of Distributed Generation Considering Transmission Losses Cost

Because of the rapid development of the global economy and the exhaustion of the energy, distributed generation (DG) arises at the historic moment. The distributed generation has many advantages, such as effectively reducing the transmission loss, improving the quality of power, controlling the pollution of environment, helping to realize the sustainable development of the energy. It will undoubtedly become the development trend of future power system. Therefore the issues related to the distributed generation have attracted widespread attention. This paper mainly research two issues as follow:the relevant subsidy policy of the distributed generation and the position and capacity of the distributed generation connected to the electricity grid.Firstly paper points out that it is not rational setting the starting point for KWH subsidies as the benchmarking price of local desulfurization coal fired power plant. Then DG pricing critical value is proposed and calculated which is set as the starting point for KWH subsidies in order to reflect economic benefit for power grid brought by distributed generation by decreasing transmission losses cost on the premise of just considering transmission loss cost, using analysis method of the power grid node cost based on the power dependency trace and aiming at the transmission losses cost does not increase after fixing DG.. Finally the feasibility of this method is verified using the example of IEEE3generation and9bus system.The connection of distributed generation (DG) has a great impact on the operation and planning of distribution net work, which has a relation to the selection of installation site and optimal capacity of DG. The DG cost is much higher than conventional power, therefore calculation of sitting and sizing of DG only considering the transmission losses cannot achieve economic optimum. In this paper, under the uncertain number, location and individual capacity of DG, the site and the capacity of DG are optimized using the improved adaptive genetic algorithm. Its purpose is to make transmission losses cost minimum and improve the quality of voltage in a certain extent. Through the analysis of an example of IEEE10generation and39bus system, it is verified that the fairly rational selection scheme for installation site and optimal capacity of DG can be obtained with the proposed method.