电子科技 ›› 2024, Vol. 37 ›› Issue (8): 68-74.doi: 10.16180/j.cnki.issn1007-7820.2024.08.010

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考虑需求响应和风电不确定性的电网调度

王玉梅, 张继钦, 周永鑫   

  1. 河南理工大学 电气工程与自动化学院, 河南 焦作 454000
  • 收稿日期:2023-02-23 出版日期:2024-08-15 发布日期:2024-08-21
  • 作者简介:王玉梅(1963-),女,教授。研究方向:电力系统与供电技术。
  • 基金资助:
    国家自然科学基金(U1804143)

Research on Power Grid Dispatching Considering Demand Response and Wind Power Uncertainty

WANG Yumei, ZHANG Jiqin, ZHOU Yongxin   

  1. School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454000,China
  • Received:2023-02-23 Online:2024-08-15 Published:2024-08-21
  • Supported by:
    National Natural Science Foundation of China(U1804143)

摘要:

风电不确定性对电力系统的影响日益增加,文中提出一种考虑需求响应的电网源荷网经济调度方法。根据需求价格弹性理论和消费者心理学原理构建价格型需求响应模型,基于灵活补偿激励型需求响应充分考虑两类需求响应互补特性,增加两类需求响应对系统的备用约束。引入通用概率分布描述风电出力特性,以期望成本量化风电不确定性惩罚成本,并将目标函数中的非线性变量线性化处理,采用混合整数线性规划问题对模型进行求解。仿真结果表明,所提模型能够有效降低负荷的峰谷差,提高风电的消纳能力。

关键词: 风电不确定性, 需求响应, 经济调度, 概率分布, 混合整数线性规划, 峰谷差

Abstract:

In view of the increasing influence of wind power uncertainty on power system, this study proposes an economic dispatching method of power grid source-load network considering demand response. According to the price elasticity theory of demand and the principle of consumer psychology, a price-based demand response model is constructed. Based on flexible compensation incentive demand response, the complementary characteristics of the two types of demand responses are fully considered, and the reserve constraints of the two types of demand responses on the system are increased. The general probability distribution is introduced to describe the output characteristics of wind power, and the expected cost is used to quantify the uncertainty of wind power to punish the cost. The nonlinear variables in the objective function are linearized, and the mixed integer linear programming problem is used to solve the model. The simulation results show that the proposed model can effectively reduce the peak-valley difference of load and improve the absorptive capacity of wind power.

Key words: wind power uncertainty, demand response, economic dispatch, probability distribution, mixed integer linear programming, peak-valley difference

中图分类号: 

  • TM734
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