Coordinated Control Strategy of Source-Grid-Load-Storage in Distribution Network Considering Demand Response

Electronics Pub Date : 2024-07-23 DOI:10.3390/electronics13152889

Youxiang Zhu, Dong Li, Shenyang Xiao, Xuekong Liu, Shi Bu, Lijun Wang, Kai Ma, Piming Ma

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Abstract

This study aims to minimize the overall cost of wind power, photovoltaic power, energy storage, and demand response in the distribution network. It aims to solve the source-grid-load-storage coordination planning problem by considering demand response. Additionally, the study includes a deep analysis of the relationship between demand response, energy storage configuration, and system cost. A two-level planning model is established for wind power and photovoltaic power grid connection, including demand response, wind power, photovoltaic power, and energy storage. The model minimizes the sum of the differences between the total load and the total new energy generation after demand response in each time period as the bottom-level objective and minimizes the overall cost of the distribution network as the top-level objective, achieving the coordinated configuration of wind power, photovoltaic power, and energy storage. The simplex method is used to solve the model, and the improved IEEE33 node system is used as an example for verification. The simulation results fully prove the model’s correctness and the algorithm’s effectiveness, supporting the coordinated planning of distribution networks.

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考虑需求响应的配电网络中源-网-负载-存储协调控制策略

本研究旨在使配电网中风力发电、光伏发电、储能和需求响应的总成本最小化。它旨在通过考虑需求响应来解决源-电网-负载-储能协调规划问题。此外，该研究还深入分析了需求响应、储能配置和系统成本之间的关系。建立了风电和光伏发电并网的两级规划模型，包括需求响应、风电、光伏发电和储能。该模型以最小化各时段总负荷与需求响应后新能源总发电量的差值之和为底层目标，以最小化配电网总成本为顶层目标，实现了风电、光伏发电和储能的协调配置。该模型采用单纯形法求解，并以改进后的 IEEE33 节点系统为例进行验证。仿真结果充分证明了模型的正确性和算法的有效性，为配电网的协调规划提供了支持。

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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Electronics

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