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

发布时间：2018-01-14 19:15

本文关键词：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　出处：《电网技术》2017年06期 　论文类型：期刊论文

【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。
[Abstract]:After large-scale wind power is incorporated into power system, because of its anti-peak-shaving characteristics and randomness. It brings severe challenge to power generation planning and dispatching of the system. The adjustable capacity of conventional units at the low load moment determines the wind power acceptance capacity of the system to a great extent. Therefore, in order to make the system economical. In order to run reliably, a multi-objective unit combination optimization model considering the system operation cost and negative peak-shaving capacity at the low moment of conventional unit is proposed. In order to deal with the randomness of wind power, the Pareto solution set is combined with the prediction interval of wind power. After evaluating the different unit combination schemes, we can get the unit combination scheme which takes into account the system economy and reliability. Finally, the simulation analysis is carried out based on the 10-machine system and its extended system (20 machines). The results show that the proposed method is feasible and can provide practical optimization scheme for decision makers.
【作者单位】：西南交通大学电气工程学院;
【基金】：国家自然科学基金项目(51307144)~~
【分类号】：TM73
【正文快照】： 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

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