基于混沌差分进化算法的含风电场低碳发电调度

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摘要本文在考虑低碳环保经济等因素后,建立了不考虑通信因素的风电接入电力系统低碳发电调度模型,计及CO₂排放约束。针对风电固有的随机性和间歇性,采用概率的形式来描述系统功率平衡约束,进而利用风电出力的累积分布函数对其进行确定性转化。基于Tent混沌映射,提出一种求解发电调度模型的混沌差分进化算法,利用混沌运动的遍历性来初始化种群以及动态调整控制参数,以提高算法的全局寻优能力。以含10台燃煤机组和1个并网风电场的系统为例进行计算分析,结果验证了所述发电调度策略的有效性。

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	苏岭东

关键词 ：风电, 低碳, 发电调度, Tent映射, 混沌差分进化

Abstract：Consider the low-carbon, environmental, economic and other factors, Low-carbon power dispatch model with wind power integration is formulated, the fuel cost of thermal generators is treated as objective function. Also, the emission of CO₂ is inserted as a constraint. In view of the intermittent nature of wind power, the power balance constraint was described in the form of probability. The stochastic constraint is transformed to a deterministic one according to the cumulative distribution function of wind power. Based on Tent map, a novel chaotic differential evolution algorithm for power dispatch model is proposed. In this algorithm, chaotic sequence is applied to initialize the population and obtain the dynamic parameter settings, so the global searching ability is enhanced. The effectiveness of the proposed power dispatch strategy is verified on a system consisting of 10 thermal generators and one wind farm.

Key words： wind power low-carbon power dispatch Tent map chaotic differential evolution (CDE)

收稿日期: 2020-01-09

作者简介: 苏岭东（1985-），男，江苏省徐州市人，博士，工程师，主要从电力系统调度运行管理工作。

引用本文:

苏岭东. 基于混沌差分进化算法的含风电场低碳发电调度[J]. 电气技术, 2020, 21(8): 46-51. Su Lingdong. Low-carbon power pispatch with wind power integration based on chaotic differential evolution. Electrical Engineering, 2020, 21(8): 46-51.

链接本文:

http://dqjs.cesmedia.cn/CN/Y2020/V21/I8/46

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