计入工业园区电热负荷需求的源网荷储优化调度方法研究

蒋俊; 张国坤; 边文杰; 郝宁; 尚恒; 赵峰

doi:10.19805/j.cnki.jcspe.2026.250329

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

计入工业园区电热负荷需求的源网荷储优化调度方法研究

综合能源系统 | 更新时间：2026-09-15

- 计入工业园区电热负荷需求的源网荷储优化调度方法研究
- Research on Optimal Scheduling Method for Source-Grid- Load-Storage Systems Considering Electro-Thermal Load Demands in Industrial Parks
- 动力工程学报 2026年46卷第9期页码：192-200
- 作者机构：
- 作者简介：
  
  [JP2]蒋俊(1988—),男,江苏镇江人,高级工程师,硕士,研究方向为储能技术及源网荷储优化调度,E-mail:jiangjun@speri.com.cn。[JP]
- 基金信息：
  
  国家电投集团能源科学技术研究院科研资助项目（202430167J）
- DOI：10.19805/j.cnki.jcspe.2026.250329
  中图分类号： TM734
- 纸质出版：2026
- 稿件说明：
移动端阅览
蒋俊, 张国坤, 边文杰, 郝宁, 尚恒, 赵峰. 计入工业园区电热负荷需求的源网荷储优化调度方法研究[J]. 动力工程学报, 2026, 46(9): 192-200.
蒋俊, 张国坤, 边文杰, 郝宁, 尚恒, 赵峰. 计入工业园区电热负荷需求的源网荷储优化调度方法研究[J]. 动力工程学报, 2026, 46(9): 192-200. DOI： 10.19805/j.cnki.jcspe.2026.250329.

DOI： 10.19805/j.cnki.jcspe.2026.250329

摘要

随着源网荷储一体化建设的不断推进，工业园区对多能协同、源网荷储优化调度提出了更高要求。构建了一个综合考虑工业园区电热负荷需求的源网荷储优化调度模型，模型充分反映了热电联产机组的电热耦合可行域，以及不同机组随负荷变化的热耗特性。采用约束整数规划求解器（SCIP）对光伏、火电、储能与电网购电进行了非线性混合整数优化计算。计算结果表明：在典型日内，火力发电功率占比为65.14%，光伏发电功率占比为20.72%，网购电功率占比为14.45%，储能充电功率占比为2.14%，储能放电功率占比为1.84%；能耗特性较优的火电机组（B型）承担更多的发电、供热的任务（发电功率占比为52%、供热功率占比为97%）。所提分析方法可为工业园区电热负荷需求的源网荷储优化调度方法提供技术参考。

Abstract

With the continuous advancement of the integrated development of source-grid-load-storage

industrial parks have put forward higher requirements for multi-energy synergy and the optimal scheduling of source-grid-load-storage. Comprehensively considering the electrical and thermal load demands in industrial parks

an optimal scheduling model for source-grid-load-storage was proposed. The model fully reflected the electro-thermal coupling feasible region of combined heat and power (CHP) units

as well as the heat consumption characteristics of different units varying with the load. The solving constraint integer program(SCIP) was adopted to conduct nonlinear mixed-integer optimization calculations for photovoltaic power

thermal power

energy storage and grid power purchase. The calculation results indicate that on a typical day

thermal power generation accounts for 65.14%

photovoltaic power generation accounts for 20.72%

grid power purchase accounts for 14.45%

energy storage charging accounts for 2.14%

and energy storage discharging accounts for 1.84%. The thermal power unit(type B) with superior energy consumption characteristics undertakes a greater share of power generation and heating tasks (accounting for 52% of power generation and 97% of heat supply). The proposed analytical method can provide a technical reference for the optimal scheduling of source-grid-load-storage considering electrical and thermal load demands in industrial parks.

关键词

Keywords

references

卓振宇, 张宁, 谢小荣, 等. 高比例可再生能源电力系统关键技术及发展挑战[J]. 电力系统自动化, 2021, 45(9): 171-191. ZHUO Zhenyu, ZHANG Ning, XIE Xiaorong, et al. Key technologies and developing challenges of power system with high proportion of renewable energy[J]. Automation of Electric Power Systems, 2021, 45(9): 171-191.

郭尊. 考虑源网荷储资源的综合能源系统优化运行研究[D]. 北京: 华北电力大学, 2020. GUO Zun. Research on optimal operation of integrated energy system considering source-grid-load-storage resources[D]. Beijing: North China Electric Power University, 2020.

魏旭, 刘东, 高飞, 等. 双碳目标下考虑源网荷储协同优化运行的新型电力系统发电规划[J]. 电网技术, 2023, 47(9): 3648-3658. WEI Xu, LIU Dong, GAO Fei, et al. Generation expansion planning of new power system considering collaborative optimal operation of source-grid-load-storage under carbon peaking and carbon neutrality[J]. Power System Technology, 2023, 47(9): 3648-3658.

叶徐静, 何明锋, 鲍伟宏, 等. 双碳背景下电力源网荷储一体化和多能互补发展的路径探索[J]. 电气技术与经济, 2024(5): 266-268. YE Xujing, HE Mingfeng, BAO Weihong, et al. Path exploration of integrated development of power source-grid-load-storage and multi-energy complementarity under the dual-carbon background[J]. Electrical Equipment and Economy, 2024(5): 266-268.

李金航, 佟曦, 陈衡, 等. 含多类型储能的综合能源系统低碳经济运行双层优化方法研究[J]. 动力工程学报, 2024, 44(3): 498-508. LI Jinhang, TONG Xi, CHEN Heng, et al. Research on two-layer optimization method for low-carbon and economic operation of integrated energy system with multiple types of energy storage[J]. Journal of Chinese Society of Power Engineering, 2024, 44(3): 498-508.

赵振宇, 邓涵予. 阶梯碳下考虑耦合电转气-碳捕集和热电联产灵活输出的综合能源系统优化调度[J]. 动力工程学报, 2024, 44(8): 1287-1297.ZHAO Zhenyu, DENG Hanyu. Optimal scheduling of integrated energy systems considering coupled power to gas, carbon capture system, and combined heating and power flexible outputs under stepped carbon[J]. Journal of Chinese Society of Power Engineering, 2024, 44(8): 1287-1297.

王成山, 吕超贤, 李鹏, 等. 园区型综合能源系统多时间尺度模型预测优化调度[J]. 中国电机工程学报, 2019, 39(23): 6791-6803. WANG Chengshan, L Chaoxian, LI Peng, et al. Multiple time-scale optimal scheduling of community integrated energy system based on model predictive control[J]. Proceedings of the CSEE, 2019, 39(23): 6791-6803.

郝宁, 张天博, 刘传亮, 等. 循环经济产业区电力系统协调运行策略与压缩空气储能配置优化[J]. 动力工程学报, 2025, 45(6): 867-877.HAO Ning, ZHANG Tianbo, LIU Chuanliang, et al. Coordinated operation and compressed air energy storage configuration optimization of power systems in circular economy parks[J]. Journal of Chinese Society of Power Engineering, 2025, 45(6): 867-877.

刘天琪, 卢俊, 何川, 等. 考虑联合热电需求响应与高比例新能源消纳的多能源园区日前经济调度[J]. 电力自动化设备, 2019, 39(8): 261-268. LIU Tianqi, LU Jun, HE Chuan, et al. Day-ahead economic dispatch of multi-energy parks considering integrated thermo-electric demand response and high penetration of renewable energy[J]. Electric Power Automation Equipment, 2019, 39(8): 261-268.

朱涛, 陈嘉俊, 段秦刚, 等. 基于近似动态规划的工业园区源-网-荷-储联合运行在线优化算法[J]. 电网技术, 2020, 44(10): 3744-3751. ZHU Tao, CHEN Jiajun, DUAN Qingang, et al. Approximate dynamic programming-based online algorithm for combination operation of source-network-load-storage in the industrial park[J]. Power System Technology, 2020, 44(10): 3744-3751.

徐振华, 陈郑平, 曾子航, 等. 考虑源网荷储多资源备用协同优化的鲁棒机组组合模型[J]. 电力系统及其自动化学报, 2025, 37(1): 101-111. XU Zhenhua, CHEN Zhengping, ZENG Zihang, et al. Robust unit commitment model considering multi-resource reserve coordinated optimization across generation, grid, load and storage[J]. Proceedings of the CSU-EPSA, 2025, 37(1): 101-111.

孙强, 谢典, 聂青云, 等. 含电-热-冷-气负荷的园区综合能源系统经济优化调度研究[J]. 中国电力, 2020, 53(4): 79-88. SUN Qiang, XIE Dian, NIE Qingyun, et al. Research on economic optimization scheduling of park integrated energy system with electricity-heat-cool-gas load[J]. Electric Power, 2020, 53(4): 79-88.

税月, 刘俊勇, 高红均, 等. 考虑风电不确定性的电热综合系统分布鲁棒协调优化调度模型[J]. 中国电机工程学报, 2018, 38(24): 7235-7247. SHUI Yue, LIU Junyong, GAO Hongjun, et al. A distributionally robust coordinated dispatch model for integrated electricity and heating systems considering uncertainty of wind power[J]. Proceedings of the CSEE, 2018, 38(24): 7235-7247.

黄源烽, 施烨, 郝飞, 等. 园区综合能源系统优化调度研究与实践[J]. 宁夏电力, 2021(4): 1-8. HUANG Yuanfeng, SHI Ye, HAO Fei, et al. Research and practice on optimal scheduling of park-level integrated energy system[J].Ningxia Electric Power, 2021(4): 1-8.

卫治廷. 供热机组灵活性改造及机组负荷优化分配研究[D]. 杭州: 浙江大学, 2022. WEI Zhiting. Research on flexibility transformation of heating unit and optimal distribution of unit load[D]. Hangzhou: Zhejiang University, 2022.

张玉敏, 尹延宾, 吉兴全, 等. 计及热网不同运行状态下灵活性供给能力的综合能源系统优化调度[J]. 中国电力, 2025, 58(2): 88-102. ZHANG Yumin, YIN Yanbin, JI Xingquan, et al. Optimal dispatch of integrated electric-heat energy system considering supply flexibility of heat networks under different operation states[J]. Electric Power, 2025, 58(2): 88-102.

王子杰. 热电联产机组运行能效及灵活性提升关键技术研究[D]. 北京: 华北电力大学, 2024. WANG Zijie. Key technologies research for operation energy efficiency and flexibility enhancement of CHP system[D]. Beijing: North China Electric Power University, 2024.

杨龙杰. 计及火电阶梯式爬坡的风-光-火-储多电源耦合系统优化调度方法[D]. 重庆: 重庆大学, 2023. YANG Longjie. Optimal dispatch of wind-photovoltaic-thermal-storage multi-power coupled system with thermal power ladder-type ramp rate[D]. Chongqing: Chongqing University, 2023.

姚路锦, 王玮, 林宏宇, 等. 计及低碳经济运行的含风电微网群源储协同日前优化调度[J]. 动力工程学报, 2024, 44(3): 462-474. YAO Lujin, WANG Wei, LIN Hongyu, et al. Day-ahead optimal scheduling of wind-powered microgrid cluster with source-storage collaboration taking into account low-carbon economic operation[J]. Journal of Chinese Society of Power Engineering, 2024, 44(3): 462-474.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于梯级水电调节的水-光-储多能互补系统优化调度研究

直燃超临界二氧化碳燃气轮机热力循环的建立与研究

考虑热网动态特性的热电联产机组运行优化

考虑低碳及主从博弈的多虚拟电厂协同优化调度

基于IGDT的含氢能多元应用和碳捕集综合能源系统优化调度