考虑分级备用的源荷储协同优化调度

孟祥飞; 袁振华; 石冰珂; 张元欣; 邱轩宇; 刘念

doi:10.19725/j.cnki.1007-2322.2023.0392

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考虑分级备用的源荷储协同优化调度

智能电网 | 更新时间：2026-02-02

- 考虑分级备用的源荷储协同优化调度
- Optimal Scheduling of a Combined Source-load-storage Energy System Considering Hierarchical Reserve
- 现代电力 2026年43卷第1期页码：104-115
- 作者机构：
  
  1. 国网山东省电力公司经济技术研究院,山东省,济南市,250021
  2. 华北电力大学电气与电子工程学院, 北京市昌平区,102206
- 作者简介：
  
  [ "孟祥飞(1991)，男，博士，工程师，研究方向为输电网规划、人工智能在电力系统中应用，E-mail：316327192@qq.com" ]
  [ "袁振华(1993)，男，硕士，工程师，研究方向为输电网规划，E-mail：462004170@qq.com" ]
  [ "石冰珂(1993)，女，硕士，工程师，研究方向为输电网规划，E-mail：shibingke_1993@163.com" ]
  [ "张元欣(2000)，男，硕士研究生，研究方向为电力系统调度与运行分析等，E-mail：zyxsd2000@outlook.com" ]
  [ "邱轩宇(1993)，男，硕士，工程师，研究方向为输电网规划，E-mail：shibingke_1993@163.com" ]
  [ "刘念(1981)，男，博士，教授，研究生导师，研究方向为智能配用电、信息物理系统、新能源电力系统优化运行等，E-mail：nianliu@ncepu.edu.cn" ]
- 基金信息：
  
  国网山东省电力公司科技项目(52062522000P)。
- DOI：10.19725/j.cnki.1007-2322.2023.0392
  中图分类号： 1
- 纸质出版：2026
- 稿件说明：
移动端阅览
孟祥飞, 袁振华, 石冰珂, 等. 考虑分级备用的源荷储协同优化调度[J]. 现代电力, 2026,43(1):104-115.

孟祥飞, 袁振华, 石冰珂, et al. Optimal Scheduling of a Combined Source-load-storage Energy System Considering Hierarchical Reserve[J]. 2026, 43(1): 104-115.
孟祥飞, 袁振华, 石冰珂, 等. 考虑分级备用的源荷储协同优化调度[J]. 现代电力, 2026,43(1):104-115. DOI： 10.19725/j.cnki.1007-2322.2023.0392.

孟祥飞, 袁振华, 石冰珂, et al. Optimal Scheduling of a Combined Source-load-storage Energy System Considering Hierarchical Reserve[J]. 2026, 43(1): 104-115. DOI： 10.19725/j.cnki.1007-2322.2023.0392.

摘要

随着呈现“双高”特征的新型电力系统的不断发展与可调火电资源的日益紧张，新能源预测误差带来的备用配置问题逐渐成为人们关注的焦点，同时源荷储系统可调资源的丰富化为备用留取提供了更多的途径。针对源荷储系统中不同时间尺度备用协同优化这一难题，使用互补集合经验模态分解方法对电网净负荷预测误差进行多时间尺度分解，为合理平衡风险与备用配置的矛盾，使用条件风险价值对系统风险进行刻画，提出计及弃风光切负荷风险的分级备用协同优化方法。在此基础上，考虑源荷储多类型系统响应特性，以备用配置成本、发电效益与系统潜在风险为目标，建立考虑分级备用的源荷储协同互补优化调度模型。算例结果表明，所提分级备用优化方法能合理权衡系统风险与备用配置，有效提高系统的可靠性，实现保供应、促消纳。

Abstract

With the continuous development of new power systems featuring “dual high” characteristics and the increasing scarcity of dispatchable thermal power resources

the issue of reserve allocation caused by the forecasting errors of renewable energy has gradually become a focal point. Meanwhile

the enriched adjustable resources within the source-load-storage system provide a wider range of approaches for reserve provision. To address the challenge of coordinated reserve optimization at different time scales in the source-load-storage system

we first utilize the complementary ensemble empirical mode decomposition (CEEMD) method to decompose the forecast errors of net load at multiple time scales. To balance the trade-off between risk and reserve allocation

we employ the conditional value-at-risk (CVaR) to characterize the system risk and propose a hierarchical reserve coordination optimization method that considers the risk of wind curtailment and load shedding. Based on this

considering the response characteristics of multi-type source-load-storage systems

we establish a coordinated and complementary optimization scheduling model considering hierarchical reserve allocation. The objectives of this model are to minimize the reserve allocation costs

maximize generation benefits

and mitigate potential risks. Case study results demonstrate that the proposed hierarchical reserve optimization method effectively strikes a balance between system risk and reserve allocation

thus improving system reliability and achieving reliable power supply and enhanced renewable energy integration.

关键词

Keywords

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