Multi-objective optimal scheduling of distribution networks with load aggregator involvement

IF 4.7 3区工程技术 Q2 ENERGY & FUELS

Energy Reports Pub Date : 2025-06-21 DOI:10.1016/j.egyr.2025.06.010

Lin Zheng , Jianfeng Zheng , Haoyang Tang , Zhilu Liu , Tiange Li , Jinpei Lu , Zhijian Hu

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Abstract

The widespread distribution and large number of user-side resources pose challenges for direct dispatch by the power grid. To fully leverage the regulation potential of demand-side resources, this paper proposes a multi-objective scheduling model for distribution networks with load aggregator involvement, aiming to minimize economic cost, reduce network losses, and increase renewable energy utilization. Aggregated models of air conditioners and electric vehicles are developed based on their operational characteristics and user demand. Fuzzy chance constraints are introduced to address the uncertainty in demand response participation. The model is solved using the AUGMECON-R method to generate the Pareto front, and the TOPSIS approach with comprehensive weighting is used to identify the optimal scheduling scheme. The simulation results demonstrate that the proposed method cuts economic cost by $159, reduces network losses by 0.201 MW, and increases the proportion of renewable energy supply by 1.5 percentage points. The results indicate that the model improves the operational performance of the distribution network operation by fully utilizing the flexibility of user-side resources.

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负荷聚合器参与下配电网多目标优化调度

用户侧资源分布广泛，数量众多，对电网直接调度提出了挑战。为了充分发挥需求侧资源的调控潜力，本文提出了一种负荷聚合器参与的配电网多目标调度模型，以实现经济成本最小化、网损降低、可再生能源利用率提高。根据空调和电动汽车的运行特点和用户需求，建立了空调和电动汽车的聚合模型。引入模糊机会约束来解决需求响应参与中的不确定性问题。采用AUGMECON-R法求解该模型，生成Pareto前沿，采用综合加权的TOPSIS法确定最优调度方案。仿真结果表明，该方法经济成本降低159美元，网络损耗降低0.201 MW，可再生能源供应比例提高1.5个百分点。结果表明，该模型充分利用了用户侧资源的灵活性，提高了配电网运行的运行性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Energy Reports Energy-General Energy

CiteScore

8.20

自引率

13.50%

发文量

2608

审稿时长

38 days

期刊介绍： Energy Reports is a new online multidisciplinary open access journal which focuses on publishing new research in the area of Energy with a rapid review and publication time. Energy Reports will be open to direct submissions and also to submissions from other Elsevier Energy journals, whose Editors have determined that Energy Reports would be a better fit.