考虑低谷时刻负调峰能力及风电预测区间的多目标机组组合优化研究  

Research on Multi-Objective Optimization of Unit Commitment Considering Negative Peak Load Regulation Ability in Valley Load Period and Wind Power Prediction Interval

作　　者：向红吉 戴朝华[1] 明杰[1] 邬明亮 赵传[1] 陈维荣[1] 

机构地区：[1]西南交通大学电气工程学院,四川省成都市610031

出　　处：《电网技术》2017年第6期1912-1918,共7页Power System Technology

基　　金：国家自然科学基金项目(51307144)~~

摘　　要：大规模风电并入电力系统以后,因其反调峰特性及随机性,对系统发电计划和调度带来严峻挑战。系统常规机组在负荷低谷时刻的可调出力在很大程度上决定了系统的风电接纳能力。因此,为了使系统经济、可靠地运行,提出一种综合考虑系统运行成本以及常规机组低谷时刻负调峰能力的多目标机组组合优化模型,并使用高效易行的归一化法线约束方法求解该多目标问题。为应对风电的随机性,将所得的Pareto解集与风电预测区间结合,对不同的机组组合方案进行评估,最终可得到兼顾系统经济性和可靠性的机组组合方案。最后,基于10机系统及其扩展系统(20机)进行仿真分析,结果验证了所提方法的可行性,能够为决策者提供切合实际的机组组合优化方案。Due to reverse peak load regulation characteristics and randomness, large-scale wind power integration comes up with serious challenges on generation planning and scheduling of power system. Wind power accommodation capability, to a great extent, is decided by downward adjustment capacity of conventional generation units in valley load period. In order to make system operate economically and reliably, a multi-objective unit commitment optimization model was proposed based on comprehensive consideration of negative peak load regulation capability and operation cost of conventional generators. The multi-objective optimization problem was solved with normalized normal constraint method. In order to deal with wind power randomness, Pareto solution set was combined with wind power prediction intervals to obtain unit commitment scheme considering both system economy and reliability after evaluation of different unit commitment schemes. The proposed method was performed in a 10-unit system and its extended system （with 20 units）. Simulation results verify feasibility of the proposed method, providing decision makers with practical unit commitment optimization scheme.

关 键 词：机组组合 负调峰能力 区间预测 风电随机性 多目标优化 归一化法线约束方法 

分 类 号：TM73[电气工程—电力系统及自动化]