Optimal Planning Of Distributed Wind Power Based On Long Time Series Simulation

At present, the development and utilization of wind power focus on large-scale centralized development and long-distance transmission. However, it encounters the problem of assumption, transmitting and large-scale wind power disconnection from grid. In order to alleviate the current bottleneck in the development of large-scale wind power, we need to local conditions and actively develop distributed wind power.Distributed Wind Power is referred to as a power unit of small-scale, sited in load center and without bulk power transmission to remote areas. Distributed wind power can reduce environmental pollution, slow expansion and renovation of the grid, save investment of transmission and distribution lines, decrease power losses and improve power quality. However, because of the weak distributed network and the fluctuation property of distributed wind power, the integration of distributed wind power will affect the power flow distribution, reactive power or voltage regulation, power quality, protection and dispatching operation. The impact is related to the placement and sizing of distributed wind power. This is bound to bring challenge for traditional planning of distribution network and concern the influence brought by distributed wind power in selecting the optimal solution for planners.For dealing with the randomness of wind power and load, the paper considers data of wind output and load throughout a year and uses Matlab-DIgSILENT/PowerFactory co-simulation technology to optimize the site and sizing of distributed wind power with the objective function of power loss and annual energy production. Finally, this paper analyzes the method through a factual power system, the simulation results show that the proposed method can obtain the optimal placement and sizing of distributed wind power.