Two-stage wind-solar-storage capacity allocation method research for active distribution network based on whale migrating algorithm

Wu Zheng; Ting Tang; Xianggang He; Jierui Yang

doi:10.14171/j.2096-5117.gei.2026.03.005

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Two-stage wind-solar-storage capacity allocation method research for active distribution network based on whale migrating algorithm

Energy Storage Systems and Multi-energy Complementary Optimal Operation | 更新时间：2026-09-16

- Two-stage wind-solar-storage capacity allocation method research for active distribution network based on whale migrating algorithm
- Global Energy Interconnection Vol. 9, Issue 3, (2026)
- 作者机构：
  
  1. Energy Planning Research Institute, Southwest Electric Power Design Institute Co., Ltd. of China Power Engineering Consulting Group,Chengdu,PR China,610056
  2. Power Grid Planning Research Center, Guizhou Power Grid Co., Ltd. of China Southern Power Grid,Guiyang,PR China,550003
- 作者简介：
- 基金信息：
- DOI：10.14171/j.2096-5117.gei.2026.03.005
  CLC：
- Published：2026
- 稿件说明：
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Wu Zheng, Ting Tang, Xianggang He, et al. Two-stage wind-solar-storage capacity allocation method research for active distribution network based on whale migrating algorithm[J]. Global Energy Interconnection, 2026, 9(3).
DOI：

Wu Zheng, Ting Tang, Xianggang He, et al. Two-stage wind-solar-storage capacity allocation method research for active distribution network based on whale migrating algorithm[J]. Global Energy Interconnection, 2026, 9(3). DOI： 10.14171/j.2096-5117.gei.2026.03.005.

摘要

Abstract

With the integration of clean energy

the increasing penetration of distributed power sources

controllable loads

and energy-storage resources in smart grids is causing substantial difficulties in the safe

stable

and cost-effective operation of power systems. Existing research often fails to consider the interconnections among optimal dispatching and the distribution capacities of wind

solar

and energy-storage systems (ESSs). This increases the costs and dispatching difficulties. In response to this situation

a two-stage capacityallocation approach for wind and solar power and storage in an active distribution network (ADN) is proposed in this paper. This approach is founded based on the whale migration algorithm(WMA).First

an optimization dispatch model that considers controllable loads and energy storage is formulated to minimize the dispatch operation costs of the ADN.In this optimization model

the overall cost of the ADN is taken as the objective function. The optimal configuration for wind-solar-storage capacities is obtained through the WMA.Simulation results confirm that the WMA effectively balances the solution accuracy and computational efficiency

while the proposed scheme enhances the economic performance of active distribution grids.

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