考虑火电灵活性改造及深度调峰的风光火储系统容量优化配置

张立伟; 冯任卿; 张毓清; 廖佳思; 马静

doi:10.19725/j.cnki.1007-2322.2023.0226

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考虑火电灵活性改造及深度调峰的风光火储系统容量优化配置

新能源电力系统 | 更新时间：2025-12-17

- 考虑火电灵活性改造及深度调峰的风光火储系统容量优化配置
- Optimal Configuration of Wind-solar-thermal-storage System Capacity Considering Flexible Reconstruction of Thermal Power and Deep Peak Shaving
- 现代电力 2025年42卷第4期页码：722-733
- 作者机构：
  
  1.中国电建集团河北省电力勘测设计院有限公司, 河北省石家庄市 050031
  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：
  
  [ "张立伟(1993)，男，工程师，研究方向为电力系统规划，E-mail：hdbdzliwei@163.com" ]
  [ "冯任卿(1977)，女，教授级高级工程师，研究方向为电力系统规划，E-mail：fengrq@hbed.com.cn" ]
  [ "张毓清(1990)，女，工程师，研究方向为电力系统安稳控制，E-mail：1zhangyq@hbed.com.cn" ]
  [ "廖佳思(1996)，女，工程师，研究方向为新能源并网、电压稳定，E-mail：1135727547@qq.com" ]
  [ "马静(1981)，男，教授，通信作者，博士生导师，研究方向为电力系统分析、稳定和控制，E-mail：hdmajing@163.com" ]
- 基金信息：
  
  中国电力建设股份有限公司科技项目：基于新型电力系统的火电灵活性调峰改造关键技术研究(DJ-ZDXM-2021-12)。
- DOI：10.19725/j.cnki.1007-2322.2023.0226
  中图分类号： TM71
- 收稿：2023-06-26，
  
  录用：2024-06-17，
  
  纸质出版：2025-08-10
- 稿件说明：
移动端阅览
张立伟, 冯任卿, 张毓清, 等. 考虑火电灵活性改造及深度调峰的风光火储系统容量优化配置[J]. 现代电力, 2025,42(4):722-733.

Liwei ZHANG, Renqing FENG, Yuqing ZHANG, et al. Optimal Configuration of Wind-solar-thermal-storage System Capacity Considering Flexible Reconstruction of Thermal Power and Deep Peak Shaving[J]. Modern Electric Power, 2025, 42(4): 722-733.
张立伟, 冯任卿, 张毓清, 等. 考虑火电灵活性改造及深度调峰的风光火储系统容量优化配置[J]. 现代电力, 2025,42(4):722-733. DOI： 10.19725/j.cnki.1007-2322.2023.0226.

Liwei ZHANG, Renqing FENG, Yuqing ZHANG, et al. Optimal Configuration of Wind-solar-thermal-storage System Capacity Considering Flexible Reconstruction of Thermal Power and Deep Peak Shaving[J]. Modern Electric Power, 2025, 42(4): 722-733. DOI： 10.19725/j.cnki.1007-2322.2023.0226.

摘要

针对风电、光伏等新能源出力随机波动较大，造成源荷不能满足实时功率平衡的问题，提出一种旨在有效平抑风光波动的火电机组灵活性调峰改造容量配置方法。首先，构建了风电、光伏出力与火电机组深度调峰、储能电池荷电状态模型。在此基础上，考虑风光出力和负荷需求的不确定性，以系统年化成本和新能源波动方差最小为目标函数，构建风光火储发电年化成本模型及状态约束条件；然后，建立基于包络约束的风电、光伏和负荷区间不确定模型，提出基于IGDT预测偏差的设备容量配置优化策略。最后，针对河北某地区实际数据设计算例展开仿真验证。通过与不进行灵活性调峰改造及不平衡度指标改善情况对比研究，结果表明：虑及火电灵活性改造及深度调峰的情况下，系统能够拥有更注重新能源出力、保障容量配置情况下源荷功率平衡的优势，在出现较大预测偏差的情况下仍可以满足实际负荷需求。

Abstract

In this paper we propose a capacity configuration method based on flexible peak shaving transformation to address the issue of the large random fluctuations in the output of wind and photovoltaic (PV)

which results in the imbalance between source and load. This method effectively suppresses wind and solar fluctuations. Firstly

a model is constructed

incorporating wind and PV output

deep peak shaving of thermal power units

as well as the state of charge(SOC) of energy storage battery. On this basis

considering the uncertainty of wind and PV power output and load demand

an annualized cost model is constructed for power generation and its state constraints is given which take minimizing the annualized cost of the system and the variance of new energy fluctuations as the objective functions. The uncertainty models are then established based on envelope constraint for wind power

PV and load intervals. Additionally

the equipment capacity configuration optimization strategies are presented based on IGDT prediction bias. The simulation verification is finally carried out by designing an example based on the actual data of a region in Hebei Province. From the comparative study on the improvement of indexes with those without flexibility transformation or deep peak shaving

it can be found that

with the flexibility of thermal power transformation and deep peak shaving taken into account

the system owns the advantages of paying more attention to new energy resources and better ensuring the balance of source and load as well as the capacity configuration. Thus

in the event of significant prediction bias

it can still meet the demands of the actual load.-solar-thermal-storage System Capacity Considering Flexible Reconstruction of Thermal Power and Deep Peak Shaving.

关键词

Keywords

references

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