The Research On Optimal Allocation Strategy And Benefit Analysis Of Distributed Generation Access Distribution Network

As a kind of renewable clean energy, the distributed generation(DG) has become one of the key research directions and hot spots for solving the problem of electric power at home and abroad. DG not only has high energy conversion efficiency but also meets the requirements of environmental protection, and plays a supporting and complementary role in distribution network. In the research of DG, reasonable planning for the optimal allocation of DG is quite necessary, when DG access distributed power system reasonably, the line loss will reduce and the nod voltage of distribution network will increase, the power quality and stability of the system can improve significantly, but it will have adverse effects on the system if the DG access location and capacity is unreasonable.1) A brief introduction of the situation of distributed generation is presented in the thesis. On the basis of analysis for the types, characteristics and application prospects of the DG, the thesis described the influence of power flow, voltage, line loss, benefits when DG access to the distribution network. As for the concentration of different types of distributed power, the equivalent node types of distributed generation in power flow calculation are analyzed, and on the basic of the equivalent node, we will put forward the calculation method of power flow of distribution network with distributed generation.2) In view of the problems that optimal allocation of DG, we will establish the optimal allocation model with the objective function of the minimum active power loss and consider the constraint of node voltage, the capacity of the line and the distribution of the distribution system. And then take constriction factor particle swarm optimization algorithm based on simulated annealing algorithm to distribute the allocation of access location and access capacity of the distributed power. The optimal allocation not only can improve the voltage distribution, enhance the stability and reliability of the system but also effectively reduce the line loss of distribution network system in a certain extent and bring considerable economic benefits.3) According to the characteristics of DG itself and the shortcoming of the traditional particle swarm optimization algorithm which the accuracy is low and is easy to fall into local optimal solution. Thus on the basis of the proposed based on hybrid simulated annealing algorithm the constriction factor particle swarm optimization algorithm for distributed power optimization. Through the examples, theproposed algorithm and particle swarm algorithm of intelligent optimization algorithm of calculation results were compared and analyzed to verify the proposed improved algorithm in the distributed optimization problem with balanced global search ability and fast convergence speed.4) Analysis the economic benefits of DG access to distribution network from the line loss and emission reduction for the system of IEEE-30 node and IEEE-33 node, in view of different DG access to distribution network. The results show that the access of the power distribution system can reduce the line loss, and the reasonable allocation of distributed power can produce greater economic benefits.At last, the research work is summarized and prospected. Studies show that the proposed constriction factor Particle Swarm Optimization( PSO) algorithm based on hybrid simulated annealing algorithm has better search capabilities and faster convergence than the particle swarm algorithm, and can produce greater economic efficiency by applied to the optimize allocation of distributed power. The results of this thesis provide theoretical basis for further research on active management of distributed power distribution network. And the future research work need to be further resolved and the development trend of the future development trend is prospected.