电力系统保护与控制Issue(24)：75-82,8.
不确定性环境下考虑弃风的电力系统日前调度
Day-ahead dispatching in consideration of wind power curtailments in uncertain environments
摘要
Abstract
In order to reduce wind power curtailments as far as possible, the expected wind power curtailments is incorporated into day-ahead dispatching formulation as a newly added minimum optimization object. The newly added optimization object is contradicted with generation costs that are intrinsic optimization object in formulation. In order to coordinate them, two optimization objects are handled respectively by fuzzy method, and a single-object optimization formulation based on maximum satisfaction extent is presented subsequently. Genetic algorithm is utilized to solve the proposed model. Large-scale integration of wind power increased uncertainties with respect to day-ahead scheduling, a constraint on risk index lost of load probability (LOLP) is proposed to replace conventional constraint on spinning reserve. Random errors on load/wind power predictions and random outages of generator units are considered in calculations of index LOLP and the expected wind power curtailments. Simulation results based on IEEE 118 test systems indicate that day-ahead dispatching formulation can provide a dispatching schedule that considers wind power curtailment and generation costs at the same time, and provide supports for system operators.关键词
预测误差/弃风电量/最大满意度/遗传算法/不确定性Key words
prediction errors/wind power curtailment/maximum satisfaction extent/genetic algorithm/uncertainties分类
信息技术与安全科学引用本文复制引用
张新松,礼晓飞,王运,黄鹏,袁越..不确定性环境下考虑弃风的电力系统日前调度[J].电力系统保护与控制,2015,(24):75-82,8.基金项目
国家自然科学基金青年项目(51407097)；江苏省高校自然科学基金(13KJB470011)；南通市科技局应用研究计划(BK2013061)；国家电网公司总部科技项目(风电光伏发电多层级优先调度评价技术研究与应用) （51407097）
