基于模糊决策方法的含风电场电力系统机组组合  

Fuzzy Decision-Making Based Unit Commitment of Power Grid Integrated With Wind Farms

作　　者：李群[1] 张刘冬[2] 殷明慧[2] 张小莲[2] 邹云[2] 

机构地区：[1]江苏省电力公司电力科学研究院,江苏省南京市211103 [2]南京理工大学自动化学院,江苏省南京市210094

出　　处：《电网技术》2013年第9期2480-2485,共6页Power System Technology

基　　金：国家自然科学基金项目(61174038;61104064;61203129);中央高校基本科研业务费专项资金资助(30920130121010);江苏省普通高校研究生科研创新计划项目(CXZZ12_0200)~~

摘　　要：结合基于置信区间的风电功率不确定性分析方法和模糊决策方法,提出了计及风电功率预测不确定性风险的含风电场的电力系统模糊机组组合模型。该模型采用模糊决策方法实现了机组发电成本和系统失负荷风险最小的目标,解决了已有模型中未给出置信区间选取依据的不足。此外,该模型采用贴合实际的风电预测不确定模型,保证了该模型的实用性。采用混合整数线性规划(mixed integer linear programming,MILP)方法对所提出的模型进行求解。通过对含风电场的IEEE RTS 26测试系统进行仿真,验证了该模型的有效性和优越性。Combining confidence interval based uncertainty analysis on wind power with fuzzy decision- making, a fuzzy unit commitment model of power grid integrated with wind farms, in which the risk of wind power prediction uncertainty is taken into account, is proposed. In the proposed model the fuzzy decision-making is utilized to minimize both generation cost of units and loss-of-load risk of power grid to remedy the defect in existing models that the foundation for the selection of the confidence interval is not given. Besides, in the proposed model an uncertainty model for wind power prediction, which conforms to actual situation, is adopted to ensure the practicality of the proposed model. The proposed model is solved by mixed integer linear programming （MILP）. The advantages and validity of the proposed model are verified by simulation results of IEEE RTS 26 test system connected with a wind farm.

关 键 词：机组组合 风电功率 预测不确定性 置信区间 电力不足期望 模糊决策 混合整数线性规划 

分 类 号：TM715[电气工程—电力系统及自动化]