电力市场下含双馈电机风电场的电力系统无功优化  

Reactive Power Optimization for Power System Containing DFIG Wind Farm in Electricity Market Environment

作　　者：韩平平[1] 张佳琪[1] 张晓安[2] 

机构地区：[1]安徽省新能源利用与节能重点实验室(合肥工业大学),安徽省合肥市230009 [2]合肥工业大学智能制造技术研究院,安徽省合肥市230009

出　　处：《电网技术》2017年第1期171-177,共7页Power System Technology

基　　金：国家自然科学基金项目(51207039);广东省引进创新科研团队计划(2011N015)~~

摘　　要：在电力市场环境下,为无功制定一个合适的价格有利于调动供应商的积极性。在考虑将含双馈电机风电场作为连续无功源参与电力系统无功优化的基础上,分析了同步发电机和双馈电机风电场的无功计价模型,建立了以有功网损和无功购买费用最小为目标函数,包含各种运行约束条件的含双馈电机风电场的电力系统无功优化模型,并采用改进粒子群优化算法进行求解。以IEEE-30节点系统为例进行了仿真计算,结果表明所采用的无功优化模型和算法的正确性、适用性和较好的经济性。In electricity market, it is helpful to give reactive power a right price to stimulate enthusiasm of suppliers. In this paper, doubly-fed induction generator（DFIG） wind farm is regarded as a continuous reactive power source to participate in power system reactive power optimization. On this basis, reactive power pricing models of synchronous generator and DFIG wind farm are analyzed. Then a power system reactive power optimization model including DFIG wind farm is built up, where economic losses, including active power loss and reactive power cost, are brought into objective function and various operation constraints are contained. Improved particle swarm optimization（PSO） algorithm is used to solve this optimization problem. Simulation is conducted with IEEE 30-bus system and the results validate correctness, adaptability and better economy of the proposed reactive power optimization model and algorithm.

关 键 词：双馈电机 无功容量极限 无功优化 无功计价模型 改进粒子群算法 

分 类 号：TM76[电气工程—电力系统及自动化]