EN面向发电计划跟踪与调峰的新能源汇集系统储能协调运行策略
Coordinated Operation Strategy for Energy Storage in New Energy Collection System for Power Generation Plan Tracking and Peak Shaving
- 现代电力 2026年43卷第2期 页码：368-379
- 作者机构：
1. 国网新疆电力有限公司经济技术研究院, 新疆维吾尔自治区,乌鲁木齐市,830011
2. 新疆大学 电气工程学院,新疆维吾尔自治区,乌鲁木齐市,830047
- 作者简介：
[ "宋海明(1988)，男，中级工程师，硕士，主要研究方向为电力系统优化运行，E-mail：503681058@qq.com" ]
[ "余中平(1984)，男，高级工程师，本科，主要研究方向为电网分析与规划工作，E-mail：17704999050@139.com" ]
[ "关洪浩(1986)，男，高级工程师，硕士，主要研究方向为电网分析与规划工作，E-mail：2452407201@qq.com" ]
[ "张高航(1994)，男，博士，讲师，通讯作者，研究方向为电力系统规划运行，E-mail：xjuzgh@xju.edu.cn" ]
- 基金信息：国网新疆电力有限公司科技项目(SGXJJYOOXXDLXTGHYJZXJS2200023)。
DOI：10.19725/j.cnki.1007-2322.2023.0395
中图分类号： 2-
纸质出版：2026
- 稿件说明：
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宋海明, 余中平, 关洪浩, 等. 面向发电计划跟踪与调峰的新能源汇集系统储能协调运行策略[J]. 现代电力, 2026,43(2):368-379.
SONG Haiming, YU Zhongping, GUAN Honghao, et al. Coordinated Operation Strategy for Energy Storage in New Energy Collection System for Power Generation Plan Tracking and Peak Shaving[J]. 2026, 43(2): 368-379.
宋海明, 余中平, 关洪浩, 等. 面向发电计划跟踪与调峰的新能源汇集系统储能协调运行策略[J]. 现代电力, 2026,43(2):368-379. DOI： 10.19725/j.cnki.1007-2322.2023.0395.
SONG Haiming, YU Zhongping, GUAN Honghao, et al. Coordinated Operation Strategy for Energy Storage in New Energy Collection System for Power Generation Plan Tracking and Peak Shaving[J]. 2026, 43(2): 368-379. DOI： 10.19725/j.cnki.1007-2322.2023.0395.
摘要
针对新能源汇集区域多储能系统在单一应用场景下储能利用率不高、汇集系统整体经济性较差的问题，考虑新能源跟踪计划误差分布特性和汇集区域电网净负荷峰谷特性，让储能协助新能源跟踪发电计划的同时辅助系统调峰。根据新能源出力特性和负荷功率特征，将储能运行区域划分为调峰区、跟踪计划区及荷电状态(states of charge，SOC)优化区，并提出一种面向发电计划跟踪与调峰的汇集系统储能分区协调优化运行策略。考虑新能源调峰成本分摊，跟踪计划误差惩罚，储能循环寿命成本、储能充放电转换成本等因素，针对不同区域分别建立储能优化运行模型。构建汇集系统整体跟踪计划出力效果评价指标、储能辅助系统调峰评价指标以及储能系统SOC评价指标，针对汇集系统优化运行结果进行评价。仿真结果表明，所提策略可以有效提升新能源跟踪计划出力能力，缓解系统调峰压力，降低新能源汇集系统整体运行成本，保证储能后续动作的可持续性。
Abstract
In response to the issues of low energy storage utilization rate and poor overall economic efficiency of multiple energy storage systems in a single application scenario in the new energy gathering area
the peak valley characteristics of the net load of the power grid as well as the error distribution characteristics of the new energy tracking plan are taken into account. In this context
energy storage can assist the system in peak shaving while aligning with the power generation plan. The energy storage operation area is divided into peak shaving area
tracking planning area and states of charge (SOC) optimization area based on the output characteristics and load power characteristics of the new energy. A coordinated and optimized operation strategy for energy storage zones in a centralized system is proposed for power generation plan tracking and peak shaving. Then
considering the factors such as new energy peak shaving cost allocation
tracking plan error penalty
energy storage cycle life cost
and energy storage charging and discharging conversion cost
the energy storage optimization operation models for different regions are established respectively
Indicators for overall tracking plan output effect evaluation of the collection system
peak shaving evaluation of the energy storage auxiliary system
as well as SOC evaluation of the energy storage system
are provided. Additionally
the optimization operation results of the collection system are assessed. The simulation results demonstrate that the proposed strategy can effectively enhance the output capacity of the new energy tracking plan
alleviate the peak shaving pressure of the system
reduce the overall operating cost of the new energy collection system
and ensure the sustainability of subsequent energy storage actions.
关键词
Keywords
references
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