Optimal operation of distribution network in pursuit of high effective consumption of distributed wind power

With the development of sophisticated technology of wind power, decentralized wind power has been more and more well known to people. However, concerning this power volatility and uncertainty, massive wind power integration has great impacts upon the power system, such as voltage regulating issues, stability, and power quality and so on. These problems will bring negative impact to the power grid operation. This paper takes the distribution network with distributed wind power as the research object. The objective function contains point of common couple voltage deviation of every wind turbine and permeability of decentralized wind power. And then work out the corresponding optimal operation strategy, the purpose of optimization can be realized by regulating the active and reactive power. So an optimal selection approach of self-adaptive was brought up based on modified particle swarm optimization algorithm. On the basis of the IEEE33 node distribution system as an example, the simulation test is test and verify particle swarm optimization algorithm for distributed wind power high permeability distribution network optimization design and functioning of the feasibility and rationality.