基于遗传算法的风电场最优接入容量问题研究

Research on the optimum capacity of wind power integration into power system based on genetic algorithm

针对大规模风电场并网运行会引起接入系统节点电压越限、影响系统电压稳定性的问题,提出了采用遗传算法对系统稳态运行进行优化分析,并结合典型风速扰动和故障方式校验系统暂态稳定性的方法,确定风电场的最优接入容量。以某实际含风电场的电力系统为例,对所提方法的可行性和有效性进行验证,结果表明按照所提方法确定的风电场最优容量接入系统,稳态运行时可保证系统各节点电压合格,且风电场升压站母线电压和并网点电压接近额定电压,减小了风电并网对系统电压稳定性的影响;系统经历暂态过程时,可保证系统和风电场均稳定。

To solve the problem of node voltage out-of-range and the voltage stability worsening existing in large-scale wind power integration, a new method is proposed to determine the optimum capacity of wind power integration into power system, which uses genetic algorithm to analyze the steady-state operation of power system, combined with typical wind velocity disturbance and fault mode to check the transient stability of system. An actual power system are used to test feasibility and availability of the proposed method. Test results show that using the method proposed in this paper to determine the optimum capacity of wind power integration can make voltage of each node acceptable, and the bus voltage of wind farm booster station and parallel point approach rating value. The influence on system stability of wind power integration is reduced during steady-state operation. System and wind farm itself can keep stable during transient state. This work is supported by Natural Science Advanced Project Programs Funded by Education Department of Henan Province（No.2008B470003）.