基于概率潮流的风电分布式电源优化配置

由于风电机组输出功率的随机波动性,使得基于风电机组的分布式电源并网后,给配电系统的结构和运行带来巨大变化,影响系统的安全性和可靠性。在含分布式电源的配电网系统规划中,对分布式电源进行合理选择和配置是发挥最大效益的关键。采用Weibull分布来描述风速的随机变化,并计及风电机组强迫停机率的影响,结合功率曲线,建立风力发电的概率分析模型。通过Cornish-Fisher级数交流概率潮流计算方法,分析风电和负荷的随机波动对含分布式电源配电系统的影响,利用混合整数非线性规划方法,确定风电系统的最佳接入点和注入容量使得系统有功网损最小。

Optimal Allocation of Wind Power Distributed Generator Based on Probabilistic Power Flow

Owing to the intermittent nature of wind power, great changes may take place in the distribution system infrastructure and operation of the distributed generators (DGs) deployed, such as wind turbines, in the distribution system. It also influences the security and reliability of the distribution system. So the optimal allocation of DG is critical to making them work better in the distribution system. In this study, a methodology is proposed to optimally allocate wind-based DG in the distribution system for minimizing the average energy loss. The method is based on a probabilistic model of wind power considering the wind speed Weibull probability distribution function and wind turbine force outage rate (FOR). And the stochastic model of energy loss can be analyzed by using the probabilistic power flow based on Cornish-Fisher expansion to learn about the impact of random fluctuation of wind power and load on the distribution system of DG. By using the mixed integer nonlinear programming method, the best access point and injection capacity of the wind power system can be determined to minimize the active power loss.