计及风险系数的含风电场电力系统多目标动态优化调度
摘要：随着风电并网容量的不断增加,传统的确定性优化调度方法已难以满足电力系统安全运行要求。本文建立了计及风险系数的含风电场电力系统多目标动态优化调度模型,模型包括风险系数、燃料成本及污染排放量最小3个目标,将风电场出力及负荷的不确定性纳入模型综合考虑。为了对模型中的随机变量进行处理,引入概率性序列理论,并对其运算空间进行扩展,然后提出了一种改进的多目标教与学优化算法对模型进行求解。含风电场的10机系统算例验证了本文模型及算法的可行性和有效性。
Abstract:With the increasing of wind capacity integrated into grid, the traditional deterministic optimization method can hardly meet the requirements for the safe operation of the power system. A multi-objective dynamic dispatch model for power grid with wind farms is presented by considering risk index, which includes such three objectives as minimum fuel cost, minimum emissions and minimum risk index, and also takes the uncertainty of load and the power output of wind farms into consideration. To deal with random variables in this model, probabilistic sequence theory is introduced and its operational space is extended. Then, an improved multi-objective teaching-learning-based optimization (IMOTLBO) algorithm is proposed to solve the model. In the end, the validity and effectiveness of proposed model and algorithm are verified through a 10-gnerators test system with wind farms.
标题：计及风险系数的含风电场电力系统多目标动态优化调度
英文标题：Multi-objective Dynamic Dispatching of Power Grid with Wind Farms by Considering Risk Index
作者：李晨, 胡志坚, 董骥, 仉梦林,
关键词：多目标动态优化调度, 风险系数, 概率性序列理论, 教与学算法, 帕累托最优解,
发表日期：2015-10-09
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