区域多主体综合能源系统电压偏差异步协调控制方法

doi:10.16183/j.cnki.jsjtu.2023.369

摘要/Abstract

摘要：

针对电、热、气多能源主体网络耦合的城市园区综合能源系统的多维用能需求和电压/无功控制需求,提出一种考虑电压偏差控制的分布式协调优化方法.首先建立电力-燃气-热力网络各能源主体设备运行模型和潮流耦合模型,然后以全系统运行成本最小和平均电压偏差最小为目标,构建全系统多目标日前调度模型和各主体本地调度模型,并结合基于偏好先验的多目标规划法与异步协调的交替方向乘子法实现了本地计算-全局协调的综合能源系统分布式调度.搭建14节点电网、14节点热网和15节点燃气网构成的综合能源系统仿真试验,通过与现有多目标解法对比,并分析所提方法的帕累托前沿坐标,验证了所提多目标规划方法的准确性与实用性.同时,在相同计算量分布的情况下,与同步分布式协调方法对比,异步协调方法的计算效率提高了16.6%,验证了算法的有效性.

关键词: 多主体综合能源系统, 电压偏差控制, 异步协调优化, 交替方向乘子法

Abstract:

In order to address the power demand and voltage control challenges of a multi-energy network of electricity, heat, and gas coupled within an integrated energy system is an urban park, a distributed coordination methodology that incorporates voltage deviation control is proposed. First, operation models for local equipment and power flow coupling optimization in the electricity-gas-heat network are established. Then, a multi-objective day-ahead dispatch model and a local dispatch model for each agent are proposed, aiming to minimize both the overall operating cost and the mean voltage deviation. To achieve this, an asynchronous coordination approach based on preference prior expressions and the alternating direction method of multipliers (ADMM) is employed to enable distributed scheduling. The integrated energy system composed of a 14-node power grid, a 14-node heating network, and a 15-node gas network is taken as a simulation example, and the accuracy and practicability of the multi-objective programming method proposed are verified by comparing it with the existing multi-objective solutions and analyzing the Pareto front coordinates. Additionly, under the same calculation load distribution, the computational efficiency of the asynchronous coordination method is 16.6% higher than that of the synchronous method, which verifies the effectiveness of the proposed algorithm.

Key words: multi-agent integrated energy system (MAIES), voltage deviation control, asynchronous coordination optimization, alternating direction method of multipliers (ADMM)

中图分类号:

TM743

鲁斌, 王伊晓, 濮川苘, 陈云辉, 陈波波, 樊飞龙. 区域多主体综合能源系统电压偏差异步协调控制方法[J]. 上海交通大学学报, 2025, 59(6): 758-767.

LU Bin, WANG Yixiao, PU Chuanqing, CHEN Yunhui, CHEN Bobo, FAN Feilong. Asynchronous Coordinated Control Method for Regional Multi-Agent Integrated Energy Systems Considering Voltage Deviation[J]. Journal of Shanghai Jiao Tong University, 2025, 59(6): 758-767.

图/表 6

图1

图2

表1

图3

图4

图5

参考文献 36

[1]	谢光龙, 贾梦雨, 韩新阳, 等. 城市能源互联网的商业模式探讨[J]. 电力建设, 2018, 39(2): 10-17. doi: DOI： 10.3969/j.issn.1000-7229.2018.02.002
	XIE Guanglong, JIA Mengyu, HAN Xinyang, et al. Preliminary exploration on business model of urban energy Internet[J]. Electric Power Construction, 2018, 39(2): 10-17.
[2]	黎静华, 朱梦姝, 陆悦江, 等. 综合能源系统优化调度综述[J]. 电网技术, 2021, 45(6): 2256-2272.
	LI Jinghua, ZHU Mengshu, LU Yuejiang, et al. Review on optimal scheduling of integrated energy systems[J]. Power System Technology, 2021, 45(6): 2256-2272.
[3]	文云峰, 杨伟峰, 汪荣华, 等. 构建100%可再生能源电力系统述评与展望[J]. 中国电机工程学报, 2020, 40(6): 1843-1856.
	WEN Yunfeng, YANG Weifeng, WANG Ronghua, et al. Review and prospect of toward 100% renewable energy power systems[J]. Proceedings of the CSEE, 2020, 40(6): 1843-1856.
[4]	余晓丹, 徐宪东, 陈硕翼, 等. 综合能源系统与能源互联网简述[J]. 电工技术学报, 2016, 31(1): 1-13.
	YU Xiaodan, XU Xiandong, CHEN Shuoyi, et al. A brief review to integrated energy system and energy Internet[J]. Transactions of China Electrotechnical Society, 2016, 31(1): 1-13.
[5]	WANG Y L, WANG Y D, HUANG Y J, et al. Operation optimization of regional integrated energy system based on the modeling of electricity-thermal-natural gas network[J]. Applied Energy, 2019, 251: 113410.
[6]	于波, 吴亮, 卢欣, 等. 区域综合能源系统优化调度方法[J]. 电力建设, 2016, 37(1): 70-76. doi: 10.3969/j.issn.1000-7229.2016.01.011
	YU Bo, WU Liang, LU Xin, et al. Optimal dispatching method of integrated community energy system[J]. Electric Power Construction, 2016, 37(1): 70-76. doi: 10.3969/j.issn.1000-7229.2016.01.011
[7]	刘洪, 陈星屹, 李吉峰, 等. 基于改进CPSO算法的区域电热综合能源系统经济调度[J]. 电力自动化设备, 2017, 37(6): 193-200.
	LIU Hong, CHEN Xingyi, LI Jifeng, et al. Economic dispatch based on improved CPSO algorithm for regional power-heat integrated energy system[J]. Electric Power Automation Equipment, 2017, 37(6): 193-200.
[8]	徐宪东, 贾宏杰, 靳小龙, 等. 区域综合能源系统电/气/热混合潮流算法研究[J]. 中国电机工程学报, 2015, 35(14): 3634-3642.
	XU Xiandong, JIA Hongjie, JIN Xiaolong, et al. Study on hybrid heat-gas-power flow algorithm for integrated community energy system[J]. Proceedings of the CSEE, 2015, 35(14): 3634-3642.
[9]	孙国强, 王文学, 吴奕, 等. 辐射型电-热互联综合能源系统快速潮流计算方法[J]. 中国电机工程学报, 2020, 40(13): 4131-4142.
	SUN Guoqiang, WANG Wenxue, WU Yi, et al. Fast power flow calculation method for radiant electric-thermal interconnected integrated energy system[J]. Proceedings of the CSEE, 2020, 40(13): 4131-4142.
[10]	王英瑞, 曾博, 郭经, 等. 电-热-气综合能源系统多能流计算方法[J]. 电网技术, 2016, 40(10): 2942-2951.
	WANG Yingrui, ZENG Bo, GUO Jing, et al. Multi-energy flow calculation method for integrated energy system containing electricity, heat and gas[J]. Power System Technology, 2016, 40(10): 2942-2951.
[11]	YAO S, GU W, LU S, et al. Dynamic optimal energy flow in the heat and electricity integrated energy system[J]. IEEE Transactions on Sustainable Energy, 2021, 12(1): 179-190.
[12]	ZHU M T, XU C S, DONG S F, et al. An integrated multi-energy flow calculation method for electricity-gas-thermal integrated energy systems[J]. Protection and Control of Modern Power Systems, 2021, 6(1): 1-12.
[13]	李冰洁, 袁晓昀, 史静, 等. 综合能源系统电气热多能量流建模及优化[J]. 上海交通大学学报, 2024, 58(9): 1297-1308. doi: 10.16183/j.cnki.jsjtu.2022.494
	LI Bingjie, YUAN Xiaoyun, SHI Jing, et al. Energy flow modeling and optimization of electric-gas-thermal integrated energy system[J]. Journal of Shanghai Jiaotong University, 2024, 58(9): 1297-1308. doi: 10.16183/j.cnki.jsjtu.2022.494
[14]	靳旦, 范成围, 刘洋, 等. 基于改进苏霍夫降温算子的电-热混合潮流计算方法[J]. 南方电网技术, 2020, 14(10): 18-26.
	JIN Dan, FAN Chengwei, LIU Yang, et al. Calculation methodology for electric-thermal hybrid power flow based on improved sukhov cooling operator[J]. Southern Power System Technology, 2020, 14(10): 18-26.
[15]	丁雨昊, 吕干云, 刘永卫, 等. 考虑碳排放目标约束和需求侧响应的综合能源系统日前优化调度[J]. 南方电网技术, 2022, 16(8): 1-11.
	DING Yuhao, LÜ Ganyun, LIU Yongwei, et al. Day-ahead optimal scheduling of integrated energy system considering carbon emission target constraints and demand side response[J]. Southern Power System Technology, 2022, 16(8): 1-11.
[16]	崔杨, 曾鹏, 仲悟之, 等. 考虑阶梯式碳交易的电-气-热综合能源系统低碳经济调度[J]. 电力自动化设备, 2021, 41(3): 10-17.
	CUI Yang, ZENG Peng, ZHONG Wuzhi, et al. Low-carbon economic dispatch of electricity-gas-heat integrated energy system based on ladder-type carbon trading[J]. Electric Power Automation Equipment, 2021, 41(3): 10-17.
[17]	LUO Z, WANG J H, XIAO N, et al. Low carbon economic dispatch optimization of regional integrated energy systems considering heating network and P2G[J]. Energies, 2022, 15(15): 5494.
[18]	XI Y F, FANG J K, CHEN Z, et al. Optimal coordination of flexible resources in the gas-heat-electricity integrated energy system[J]. Energy, 2021, 223: 119729.
[19]	QIN C, YAN Q Y, HE G. Integrated energy systems planning with electricity, heat and gas using particle swarm optimization[J]. Energy, 2019, 188: 116044.
[20]	朱海南, 王娟娟, 陈兵兵, 等. 考虑经济性与碳排放的电-气综合能源系统多目标规划[J]. 上海交通大学学报, 2023, 57(4): 422-431. doi: 10.16183/j.cnki.jsjtu.2021.513
	ZHU Hainan, WANG Juanjuan, CHEN Bingbing, et al. Multi-objective planning of power-gas integrated energy system considering economy and carbon emission[J]. Journal of Shanghai Jiao Tong University, 2023, 57(4): 422-431.
[21]	张鹏, 王丹, 贾宏杰, 等. 考虑可再生能源不确定性的综合能源系统优化调度方法[J]. 电气应用, 2017, 36(19): 38-44.
	ZHANG Peng, WANG Dan, JIA Hongjie, et al. Optimal scheduling method of comprehensive energy system considering uncertainty of renewable energy[J]. Electrotechnical Application, 2017, 36(19): 38-44.
[22]	LIU H, FAN Z G, XIE H M, et al. Distributionally robust joint chance-constrained dispatch for electricity-gas-heat integrated energy system considering wind uncertainty[J]. Energies, 2022, 15(5): 1796.
[23]	刘蓉晖, 李阳, 杨秀, 等. 考虑需求响应的社区综合能源系统两阶段优化调度[J]. 太阳能学报, 2021, 42(9): 46-54.
	LIU Ronghui, LI Yang, YANG Xiu, et al. Two-stage optimal scheduling of community integrated energy system considering demand response[J]. Acta Energiae Solaris Sinica, 2021, 42(9): 46-54.
[24]	周思怡, 杨欢红, 黄文焘, 等. 集装箱港口综合能源系统日前-日内两阶段滚动优化调度[J]. 上海交通大学学报, 2024, 58(9): 1357-1369. doi: 10.16183/j.cnki.jsjtu.2023.016
	ZHOU Siyi, YANG Huanhong, HUANG Wentao, et al. Two-stage day-ahead and intra-day rolling optimal scheduling of container port integrated energy system[J]. Journal of Shanghai Jiaotong University, 2024, 58(9): 1357-1369. doi: 10.16183/j.cnki.jsjtu.2023.016
[25]	顾洁, 白凯峰, 时亚军. 基于多主体主从博弈优化交互机制的区域综合能源系统优化运行[J]. 电网技术, 2019, 43(9): 3119-3134.
	GU Jie, BAI Kaifeng, SHI Yajun. Optimized operation of regional integrated energy system based on multi-agent master-slave game optimization interaction mechanism[J]. Power System Technology, 2019, 43(9): 3119-3134.
[26]	王杰, 刘念. 多主体综合能源系统分布式优化运行方法[J]. 南方电网技术, 2018, 12(3): 98-104.
	WANG Jie, LIU Nian. Distributed optimal operation method of integrated energy system with multi-agents[J]. Southern Power System Technology, 2018, 12(3): 98-104.
[27]	林勇棋, 邵振国, 陈飞雄, 等. 基于气网划分的电-气综合能源系统分布式低碳经济调度[J]. 电网技术, 2023, 47(7): 2639-2654.
	LIN Yongqi, SHAO Zhenguo, CHEN Feixiong, et al. Distributed low-carbon economic scheduling of integrated electricity and gas system based on gas network division[J]. Power System Technology, 2023, 47(7): 2639-2654.
[28]	黄海涛, 查俊吉, 陈曦, 等. 基于ADMM算法的多主体综合能源系统分布式协同优化研究[J]. 电测与仪表, 2023, 60(12): 44-50.
	HUANG Haitao, ZHA Junji, CHEN Xi, et al. Research on distributed cooperative optimization of multi-agent integrated energy system based on ADMM algorithm[J]. Electrical Measurement & Instrumentation, 2023, 60(12): 44-50.
[29]	王冬霞, 雷咏梅, 张泽宇. 面向通用一致性优化的通信高效的异步ADMM算法[J]. 计算机科学, 2022, 49(11): 309-315. doi: 10.11896/jsjkx.211200006
	WANG Dongxia, LEI Yongmei, ZHANG Zeyu. Communication efficient asynchronous ADMM algorithm oriented to general consistency optimization[J]. Computer Science, 49(11): 309-315.
[30]	CHANG T H, HONG M Y, LIAO W C, et al. Asynchronous distributed alternating direction method of multipliers: Algorithm and convergence analysis[C]// 2016 IEEE International Conference on Acoustics, Speech and Signal Processing. Shanghai, China: IEEE, 2016: 4781-4785.
[31]	ZHANG R L, KWOK J T. Asynchronous distributed ADMM for consensus optimization[C]// Proceedings of the 31st International Conference on International Conference on Machine Learning. Beijing, China: ACM, 2014: 1701-1709.
[32]	ZHANG C, XU Y, WANG Y, et al. Three-stage hierarchically-coordinated voltage/var control based on PV inverters considering distribution network voltage stability[J]. IEEE Transactions on Sustainable Energy, 2022, 13(2): 868-881.
[33]	RANAMUKA D, AGALGAONKAR A P, MUTTAQI K M. Conservation voltage reduction and VAr management considering urban distribution system operation with solar-PV[J]. International Journal of Electrical Power & Energy Systems, 2019, 105: 856-866.
[34]	WANG Z Y, WANG J H, CHEN B K, et al. MPC-based voltage/var optimization for distribution circuits with distributed generators and exponential load models[J]. IEEE Transactions on Smart Grid, 2014, 5(5): 2412-2420.
[35]	XU Y, DONG Z Y, ZHANG R, et al. Multi-timescale coordinated voltage/var control of high renewable-penetrated distribution systems[J]. IEEE Transactions on Power Systems, 2017, 32(6): 4398-4408.
[36]	CHEN Z P, FAN F L, TAI N L, et al. Multi-objective voltage/VAR control for integrated port energy system considering multi-network integration[J]. International Journal of Electrical Power & Energy Systems, 2023, 150: 109092.

方法	设备运行成本/元		能源购置成本/元		各主体总成本/元		全系统总成本/元	集中优化计算时间/s	电压偏差
方法	电力网络	燃气网络	电力网络	燃气网络	电力网络	燃气网络	全系统总成本/元	集中优化计算时间/s	电压偏差
本文	1293.54	208.60	48734.86	29444.00	50028.40	29652.60	79681.00	47.46	0.090
单目标调度	1293.67	208.59	48733.62	29443.48	50027.29	29652.07	79679.36	6.39	1.000
NBI多目标调度(“膝点”解)	1179.87	219.26	47960.69	30320.26	49140.56	30539.62	79680.08	6012.21	0.087