中国电力

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考虑风电消纳的源荷不确定冷热电联供微网日前经济调度 (分布式能源系统与综合需求响应互动机制关键技术专栏)

王长浩,刘洋,许立雄   

  1. 四川大学电气工程学院
  • 收稿日期:2019-07-15 修回日期:2019-10-21 出版日期:2019-11-17 发布日期:2019-11-17
  • 通讯作者: 许立雄
  • 基金资助:
    山东省科技发展计划资助项目

Day-ahead Economic Dispatch for a Combined Cooling, Heat and Power Microgrid System with Uncertain Sources and Loads Considering Wind Power Accommodation

  • Received:2019-07-15 Revised:2019-10-21 Online:2019-11-17 Published:2019-11-17
  • Contact: Lixiong XU

摘要: 以含高比例可再生能源的CCHP微网为研究对象,针对风电出力和冷热电负荷不确定对微网运行的影响,区分源荷不确定各自的特点,建立考虑风电消纳与源荷不确定的CCHP微网两阶段鲁棒随机调度模型。由于风电出力虽预测精度较低但存在一定波动范围,使用鲁棒优化方法处理风电不确定;负荷预测精度较高且有一定波动规律,使用随机优化方法处理负荷不确定。首先通过随机抽样形成多个负荷场景并削减,得到多个典型冷热电负荷场景;然后以最小化各场景的调度成本加权平均值为决策目标制定日前调度方案,该方案使用两阶段鲁棒优化方法求解。考虑实际生产中可能出现的弃风现象,为增加风电消纳引入弃风惩罚成本。算例仿真结果证明了所提调度方法的合理性与经济性。

Abstract: a two-stage robust stochastic scheduling model for CCHP microgrid with high proportion of renewable energy is established after distinguishing the characteristics of uncertain sources and loads. Due to the low accuracy of wind power output prediction, but there is a certain range of fluctuations, the robust optimization method is applied; the load forecasting accuracy is high and has certain regularity, and the stochastic optimization method is applied. Firstly, multiple load scenarios are formed by random sampling, and then several typical load scenarios are obtained by reducing them. Then a day-ahead scheduling scheme is formulated with the goal of minimizing the weighted average of the scheduling cost of each scenario, in which a two-stage robust optimization method is used to solve the scheme. Considering the phenomenon of wind abandonment in actual production, the penalty cost is introduced to increase wind power absorption. Simulation results show the rationality and economy of the proposed scheduling method.