考虑发用电双侧不确定性的电力系统鲁棒模糊经济调度

ZHANG Xiaohui

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考虑发用电双侧不确定性的电力系统鲁棒模糊经济调度

更新时间：2025-08-13

- 考虑发用电双侧不确定性的电力系统鲁棒模糊经济调度
- Automation of Electric Power Systems Vol. 42, Issue 17, Pages: 67-75(2018)
- 作者机构：
  
  电力电子节能与传动控制河北省重点实验室(燕山大学),河北省,秦皇岛市,066004
- 作者简介：
- 基金信息：
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- Published：2018
- 稿件说明：
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ZHANG Xiaohui. [J]. Automation of electric power systems, 2018, 42(17): 67-75.
DOI：

ZHANG Xiaohui. [J]. Automation of electric power systems, 2018, 42(17): 67-75. DOI：

摘要

风电和需求响应的双侧不确定性会对电力系统经济调度产生重要的影响。首先，利用模糊理论对分时电价下不确定负荷进行了拟合，利用鲁棒理论构建了风电的不确定集，同时考虑双侧不确定性建立了鲁棒模糊数学模型，并根据其等价确定转化思想对模型进行求解。然后，建立了电力系统鲁棒模糊多目标调度模型，其中多目标包括碳交易成本最小的低碳目标和综合经济成本最小的经济目标。采用内点法多约束条件处理策略改进多目标细菌群体趋药性算法，利用此算法求解模型并获得目标函数最优解。最后，以经典的IEEE 10节点系统和一个风电场为例进行仿真研究，验证所提模型的可行性和优越性。

Abstract

The bilateral uncertainty of wind power and demand response will have an important impact on the economic dispatch of power system. Firstly

fuzzy theory is used to fit the uncertain load under time-sharing tariff

and the uncertain set of wind power is built by using robust theory. At the same time

considering the bilateral uncertainty

a robust fuzzy mathematical model is established. Based on its equivalence

the transformation idea is determined to solve the model. Secondly

a robust fuzzy multi-objective scheduling model for the power system is established. Among them

multiple goals include the minimum carbon trading costs and the smallest comprehensive economic cost. The interior point method and multiple constraint processing strategy is used to improve the multi-objective bacterial population chemotaxis algorithm. The algorithm is used to solve the model and obtain the optimal solution of the objective function. Finally

the IEEE 10-node computer system and a wind farm are taken as examples to verify the feasibility and superiority of the proposed model.

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