Robust Expansion Planning Method for AC/DC Power Grid Considering the Hosting Capacity of Renewable Energy

HUANG Gechao; ZHU Tong; GAO Jian; ZHANG Yingmin; LI Yuan; WANG Yanfeng; YE Xi; GAO Shilin

doi:10.13296/j.1001-1609.hva.2025.05.028

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Robust Expansion Planning Method for AC/DC Power Grid Considering the Hosting Capacity of Renewable Energy

The Key Technologies for Energy Conservation and Carbon Reduction in New Power Systems | 更新时间：2025-05-25

- Robust Expansion Planning Method for AC/DC Power Grid Considering the Hosting Capacity of Renewable Energy
- High Voltage Apparatus Vol. 61, Issue 5, Pages: 268-278(2025)
- 作者机构：
  
  1.国网四川省电力公司，成都　 610041
  2.四川大学电气工程学院，成都　 610065
- 作者简介：
- 基金信息：
  
  Science and Technology Project of SGCC(52199723001G)
- DOI：10.13296/j.1001-1609.hva.2025.05.028
  CLC：
- Received：26 December 2024，
  
  Revised：05 March 2025，
  
  Published：16 May 2025
- 稿件说明：
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HUANG Gechao, ZHU Tong, GAO Jian, et al. Robust Expansion Planning Method for AC/DC Power Grid Considering the Hosting Capacity of Renewable Energy[J]. High voltage apparatus, 2025, 61(5): 268-278.
DOI：

HUANG Gechao, ZHU Tong, GAO Jian, et al. Robust Expansion Planning Method for AC/DC Power Grid Considering the Hosting Capacity of Renewable Energy[J]. High voltage apparatus, 2025, 61(5): 268-278. DOI： 10.13296/j.1001-1609.hva.2025.05.028.

摘要

针对新能源不确定性，文中基于深度确定性策略梯度（deep deterministic policy gradient，DDPG）算法，提出了考虑新能源承载能力的交直流电网鲁棒扩展规划方法。首先，建立了交直流电网的扩展规划模型。其次，构建了考虑新能源接入的交直流电网鲁棒扩展规划模型，提出了基于极限场景集的新能源不确定性处理方法。进一步，提出了基于改进DDPG的扩展规划模型求解方法。最后，通过IEEE RTS 24系统、IEEE New England 39系统以及中国西南电网的算例分析，验证了所提方法能够有效降低弃风弃光量和切负荷量，且在不增加额外投资的前提下显著降低规划成本。

Abstract

Aiming at the uncertainties of renewable energy

in this paper a robust expansion planning method for AC/DC grid considering the hosting capacity of renewable energy is proposed based on deep deterministic policy gradient (DDPG) algorithm. Firstly

the expansion planning model for AC/DC power grid is set up. Then

a robust expansion planning model for AC/DC power grid considering the access of renewable energy is constructed and treatment method of the renewable energy uncertainties based on extreme scenario sets is proposed. Furthermore

a solution method for the expansion planning model based on the improved DDPG is proposed. Finally

it is verified through the example analysis of IEEE RTS 24 system

the IEEE New England 39 system and China Southwest Power Grid that the proposed method can effectively reduce the curtailment of wind and solar power as well as load shedding and

on the premises of not increasing additional investment

significantly reduce the planning costs.

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