摘要
针对风力发电需要吸收电网大量无功而影响电网无功分布和电压稳定的问题,研究了含风电场的系统无功优化,给出了风电场在恒功率因数运行情况下其并网点处无功补偿容量的计算方法.在满足风电场无功补偿的前提下,建立了以全网的有功网损最小为目标函数的无功优化模型,并用遗传算法求得最优解.将风电场接入IEEE-30节点系统进行仿真计算,验证了该方法和程序的有效性和实用性.
Considering that wind power generation needs to absorb a lot of reactive power,which has influence on the distribution of reactive power and voltage stability, the system reactive power optimization containing wind farm is researched. In the condition of the operation of wind farm with constant power factor, the calculation method of reactive power compensation capacity in its parallel point is proposed. Under the premise of meeting the reactive power compensation, the reactive power optimization model is prented,in which the objective function is to minimize the sum of power loss, and the optimal solution is achieved by genetic algorithm. The validity and practicability of the proposed method are proved by an example of wind farm connected to IEEE-30-bus system.
出处
《长沙理工大学学报（自然科学版）》
CAS
2009年第1期43-48,共6页
Journal of Changsha University of Science and Technology:Natural Science
基金
国家自然科学基金资助项目(70601003)
关键词
分布式发电
异步发电机
潮流计算
无功优化
遗传算法
distributed generation
asynchronous generator
power flow
reactive power optimization
genetic algorithms
