考虑时变备用需求的含大规模风电电力系统机组组合滚动优化

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摘要风电的波动性及难以预测的特性给电力系统安全、经济调度带来了困难。含风电电力系统机组组合需安排火电预留足够的旋转备用容量,以减小风电波动和预测误差对电力系统的影响。本文针对风电预测误差的强时变特性,提出考虑时变备用需求的含大规模风电电力系统机组组合滚动优化模型,该模型充分考虑风电预测误差的时变特性,优化系统机组组合滚动运行方案。算例分析证明了本文模型的有效性和可行性,分析表明本文模型能够满足系统时变备用需求,保证系统不同时间尺度的运行安全性和经济性。

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	桂前进
	黄向前
	麦立
	徐瑞翔

关键词 ：风电不确定性, 时变特性, 滚动优化, 线性规划

Abstract：The fluctuation and unpredictability of wind power bring difficulties to power system security and economic dispatching. The unit combination of power system including wind power needs to arrange thermal power to reserve sufficient rotating reseve capacity to reduce the impact of wind power fluctuation and prediction error on power system. In this paper, according to the strong time-varying characteristics of wind power prediction error, a rolling optimization model of unit combination in power system with large-scale wind power considering time-varying standby demand is proposed. The model fully considers the time-varying characteristics of wind power prediction error and optimizes the rolling operation scheme of system unit combination. The example analysis proves the effectiveness and feasibility of the model. The analysis shows that the model can meet the time-varying standby demand of the system and ensure the operation safety and economy of the system at different time scales.

Key words： wind power uncertainty time-varying characteristics rolling optimization linear programming

收稿日期: 2021-04-15

作者简介: 桂前进（1975—）,男,安徽潜山人,本科,高级工程师,主要从事调度与控制相关工作。

引用本文:

桂前进, 黄向前, 麦立, 徐瑞翔. 考虑时变备用需求的含大规模风电电力系统机组组合滚动优化[J]. 电气技术, 2021, 22(10): 34-42. GUI Qianjin, HUANG Xiangqian, MAI Li, XU Ruixiang. Unit commitment rolling optimization of power system with a large-scale wind farm considering time-varying reserve requirement. Electrical Engineering, 2021, 22(10): 34-42.

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http://dqjs.cesmedia.cn/CN/Y2021/V22/I10/34

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