综合能源系统控制自由度指标及其对经济调度的影响

doi:10.11930/j.issn.1004-9649.202007033

中国电力 ›› 2021, Vol. 54 ›› Issue (4): 95-106,118.DOI: 10.11930/j.issn.1004-9649.202007033

• 区域综合能源系统规划与运行技术专栏 • 上一篇下一篇

综合能源系统控制自由度指标及其对经济调度的影响

郑涛^1,2,3, 戴则梅^1,2,3, 姚家豪⁴, 曹敬^1,2,3, 吴烁民^1,2,3, 张凯锋⁴

1. 南瑞集团（国网电力科学研究院）有限公司, 江苏南京 211106;
2. 国电南瑞科技股份有限公司, 江苏南京 211106;
3. 智能电网保护和运行控制国家重点实验室, 江苏南京 211106;
4. 复杂工程系统测量与控制教育部重点实验室（东南大学）, 江苏南京 210096

收稿日期:2020-07-14 修回日期:2021-02-26 发布日期:2021-04-23
作者简介:郑涛(1977-),男,通信作者,硕士,高级工程师,从事电网调度自动化、电力系统广域相量监视、综合能源管控服务等领域的设计、研发和推广应用。E-mail:zhengtao2@sgepri.sgcc.com.cn
基金资助:
国家重点研发计划资助项目(2018YFB0905000)；国网电力科学研究院有限公司科技项目(智慧能源云研发及应用)

Control Freedom Index of Integrated Energy System and Its Impact on Economic Dispatch

ZHENG Tao^1,2,3, DAI Zemei^1,2,3, YAO Jiahao⁴, CAO Jing^1,2,3, WU Shuomin^1,2,3, ZHANG Kaifeng⁴

1. NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 211106, China;
2. NARI Technology Co., Ltd., Nanjing 211106, China;
3. State Key Laboratory of Smart Grid Protection and Control, Nanjing 211106, China;
4. Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, Nanjing 210096, China

Received:2020-07-14 Revised:2021-02-26 Published:2021-04-23
Supported by:
This work is supported by the National Key R&D Program of China (No.2018YFB0905000) and Science and Technology Project of State Grid Electric Power Research Institute Co., Ltd. (Smart Energy Cloud Platform R&D and Application)

摘要/Abstract

摘要： 综合能源系统通过多能流耦合转化，向用户提供多样化的能源供给服务。相比传统的独立供能系统，综合能源系统具有更大的控制自由度。针对如何衡量系统的控制自由度这一问题，首先提出了表征多能流相互转换能力的可转换性指标，以及表征用户侧选择能源空间的可替代性指标，并给出了这两个指标的计算方法。其次，考虑控制自由度对于综合能源系统优化运行的影响，建立了冷-热-电-气综合能源系统的经济调度模型。最后对算例进行仿真分析，结果证明提高综合能源系统的可转换性和可替代性两个控制自由度指标可以降低系统的经济调度成本。

关键词: 控制自由度, 经济调度, 综合能源系统, 储能, 冷热电三联供系统

Abstract: Integrated energy system (IES) provides users with diversified energy supply services through the coupling conversion of multiple energy flows. Compared with conventional independent energy supply systems, the IES has greater degree of control freedom. In order to measure the degree of control freedom, this paper firstly proposes a convertibility index to characterize the mutual conversion ability of multiple energy flows, and a substitutability index to represents selection opportunities for alternative energy at the user side. In addition, the calculation methods for the convertibility index and the substitutability index are provided. Secondly, considering the influence of control freedom on the optimal operation of the IES, an economic dispatch model of the cooling-heating-power-gas IES is established. Finally, a case simulation is carried out, and the results shows that improving the two control freedom indexes of the convertibility and substitutability of the integrated energy system can reduce the economic dispatch cost of the system.

Key words: degree of control freedom, economic dispatch, integrated energy system, energy storage, combined cooling,heating and power (CCHP) system

郑涛, 戴则梅, 姚家豪, 曹敬, 吴烁民, 张凯锋. 综合能源系统控制自由度指标及其对经济调度的影响[J]. 中国电力, 2021, 54(4): 95-106,118.

ZHENG Tao, DAI Zemei, YAO Jiahao, CAO Jing, WU Shuomin, ZHANG Kaifeng. Control Freedom Index of Integrated Energy System and Its Impact on Economic Dispatch[J]. Electric Power, 2021, 54(4): 95-106,118.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202007033

https://www.electricpower.com.cn/CN/Y2021/V54/I4/95

参考文献

[1] 程浩忠, 胡枭, 王莉, 等. 区域综合能源系统规划研究综述[J]. 电力系统自动化, 2019, 43(7): 2-13
CHENG Haozhong, HU Xiao, WANG Li, et al. Review on research of regional integrated energy system planning[J]. Automation of Electric Power Systems, 2019, 43(7): 2-13
[2] 王伟亮, 王丹, 贾宏杰, 等. 能源互联网背景下的典型区域综合能源系统稳态分析研究综述[J]. 中国电机工程学报, 2016, 36(12): 3292-3306
WANG Weiliang, WANG Dan, JIA Hongjie, et al. Review of steady-state analysis of typical regional integrated energy system under the background of energy internet[J]. Proceedings of the CSEE, 2016, 36(12): 3292-3306
[3] 贾宏杰, 王丹, 徐宪东, 等. 区域综合能源系统若干问题研究[J]. 电力系统自动化, 2015, 39(7): 198-207
JIA Hongjie, WANG Dan, XU Xiandong, et al. Research on some key problems related to integrated energy systems[J]. Automation of Electric Power Systems, 2015, 39(7): 198-207
[4] 黎静华, 黄玉金, 张鹏. 综合能源系统多能流潮流计算模型与方法综述[J]. 电力建设, 2018, 39(3): 1-11
LI Jinghua, HUANG Yujin, ZHANG Peng. Review of multi-energy flow calculation model and method in integrated energy system[J]. Electric Power Construction, 2018, 39(3): 1-11
[5] 郇嘉嘉, 曾诚玉, 赵瑾, 等. 用户级综合能源仿真分析系统研究与开发[J]. 电力系统保护与控制, 2020, 48(3): 180-187
HUAN Jiajia, ZENG Chengyu, ZHAO Jin, et al. Study and development of user-level integrated energy simulation analysis system[J]. Power System Protection and Control, 2020, 48(3): 180-187
[6] 艾芊, 郝然. 多能互补、集成优化能源系统关键技术及挑战[J]. 电力系统自动化, 2018, 42(4): 2-10, 46
AI Qian, HAO Ran. Key technologies and challenges for multi-energy complementarity and optimization of integrated energy system[J]. Automation of Electric Power Systems, 2018, 42(4): 2-10, 46
[7] 贾晨, 吴聪, 张超, 等. 基于电热系统联合规划的城市商住混合区能源站优化配置[J]. 电力系统保护与控制, 2017, 45(6): 30-36
JIA Chen, WU Cong, ZHANG Chao, et al. Optimum configuration of energy station in urban hybrid area of commerce and residence based on integrated planning of electricity and heat system[J]. Power System Protection and Control, 2017, 45(6): 30-36
[8] 权超, 董晓峰, 姜彤. 基于CCHP耦合的电力、天然气区域综合能源系统优化规划[J]. 电网技术, 2018, 42(8): 2456-2466
QUAN Chao, DONG Xiaofeng, JIANG Tong. Optimization planning of integrated electricity-gas community energy system based on coupled CCHP[J]. Power System Technology, 2018, 42(8): 2456-2466
[9] SHEN X W, HAN Y D, ZHU S Z, et al. Comprehensive power-supply planning for active distribution system considering cooling, heating and power load balance[J]. Journal of Modern Power Systems and Clean Energy, 2015, 3(4): 485-493.
[10] 王文学, 胡伟, 孙国强, 等. 电-热互联综合能源系统区间潮流计算方法[J]. 电网技术, 2019, 43(1): 83-95
WANG Wenxue, HU Wei, SUN Guoqiang, et al. Interval energy flow calculation method of integrated electro-thermal system[J]. Power System Technology, 2019, 43(1): 83-95
[11] 张儒峰, 姜涛, 李国庆, 李雪, 陈厚合. 基于最大熵原理的电-气综合能源系统概率能量流分析[J/OL]. 中国电机工程学报: 1-10[2021-02-26]. http://kns.cnki.net/kcms/detail/11.2107.TM.20190312.1641.012.html.
ZHANG Rufeng, JIANG Tao, LI Guoqing, et al. Maximum entropy based probabilistic energy flow calculation for integrated electricity and natural gas systems[J/OL]. Proceedings of the CSEE, 1-10[2021-02-26]. http://kns.cnki.net/kcms/detail/11.2107.TM.20190312.1641.012.html.
[12] 杨家豪. 区域综合能源系统冷-热-电-气概率多能流计算[J]. 电网技术, 2019, 43(1): 74-83
YANG Jiahao. Probabilistic multi-energy flow calculation for regional integrated energy system containing cooling, heating, electricity and gas[J]. Power System Technology, 2019, 43(1): 74-83
[13] 张义志, 王小君, 和敬涵, 等. 考虑供热系统建模的综合能源系统最优能流计算方法[J]. 电工技术学报, 2019, 34(3): 562-570
ZHANG Yizhi, WANG Xiaojun, HE Jinghan, et al. Optimal energy flow calculation method of integrated energy system considering thermal system modeling[J]. Transactions of China Electrotechnical Society, 2019, 34(3): 562-570
[14] 沈海平, 陈铭, 钱磊, 等. 计及电转气耦合的电-气互联系统机组组合线性模型研究[J]. 电力系统保护与控制, 2019, 47(8): 34-41
SHEN Haiping, CHEN Ming, QIAN Lei, et al. Linear model research of unit commitment for integrated electricity and natural-gas systems considering power-to-gas coupling[J]. Power System Protection and Control, 2019, 47(8): 34-41
[15] 梅建春, 卫志农, 张勇, 等. 电—气互联综合能源系统多时间尺度动态优化调度[J]. 电力系统自动化, 2018, 42(13): 36-42
MEI Jianchun, WEI Zhinong, ZHANG Yong, et al. Dynamic optimal dispatch with multiple time scale in integrated power and gas energy systems[J]. Automation of Electric Power Systems, 2018, 42(13): 36-42
[16] 刘洪, 李吉峰, 葛少云, 等. 基于多主体博弈与强化学习的并网型综合能源微网协调调度[J]. 电力系统自动化, 2019, 43(1): 40-48
LIU Hong, LI Jifeng, GE Shaoyun, et al. Coordinated scheduling of grid-connected integrated energy microgrid based on multi-agent game and reinforcement learning[J]. Automation of Electric Power Systems, 2019, 43(1): 40-48
[17] LI R, WEI W, MEI S W, et al. Participation of an energy hub in electricity and heat distribution markets: an MPEC approach[J]. IEEE Transactions on Smart Grid, 2019, 10(4): 3641-3653.
[18] 郑国太, 李昊, 赵宝国, 等. 基于供需能量平衡的用户侧综合能源系统电/热储能设备综合优化配置[J]. 电力系统保护与控制, 2018, 46(16): 8-18
ZHENG Guotai, LI Hao, ZHAO Baoguo, et al. Comprehensive optimization of electrical/thermal energy storage equipments for integrated energy system near user side based on energy supply and demand balance[J]. Power System Protection and Control, 2018, 46(16): 8-18
[19] HUANG Z, FANG B L, DENG J. Multi-objective optimization strategy for distribution network considering V2G-enabled electric vehicles in building integrated energy system[J]. Protection and Control of Modern Power Systems, 2020, 5(1): 1-8.
[20] LIU N, WANG J, WANG L F. Hybrid energy sharing for multiple microgrids in an integrated heat-electricity energy system[J]. IEEE Transactions on Sustainable Energy, 2019, 10(3): 1139-1151.
[21] MARTÍNEZ CESEÑA E A, MANCARELLA P. Energy systems integration in smart districts: robust optimisation of multi-energy flows in integrated electricity, heat and gas networks[J]. IEEE Transactions on Smart Grid, 2018, 10(1): 1122-1131.
[22] LI Z, WANG C F, LI B W, et al. Probability-interval-based optimal planning of integrated energy system with uncertain wind power[J]. IEEE Transactions on Industry Applications, 2020, 56(1): 4-13.
[23] 靳小龙, 穆云飞, 贾宏杰, 等. 融合需求侧虚拟储能系统的冷热电联供楼宇微网优化调度方法[J]. 中国电机工程学报, 2017, 37(2): 581-591
JIN Xiaolong, MU Yunfei, JIA Hongjie, et al. Optimal scheduling method for a combined cooling, heating and power building microgrid considering virtual storage system at demand side[J]. Proceedings of the CSEE, 2017, 37(2): 581-591
[24] 徐青山, 李淋, 盛业宏, 等. 冷热电联供型多微网主动配电系统日前优化经济调度[J]. 电网技术, 2018, 42(6): 1726-1735
XU Qingshan, LI Lin, SHENG Yehong, et al. Day-ahead optimized economic dispatch of active distribution power system with combined cooling, heating and power-based microgrids[J]. Power System Technology, 2018, 42(6): 1726-1735
[25] 吴盛军, 刘建坤, 周前, 等. 考虑储能电站服务的冷热电多微网系统优化经济调度[J]. 电力系统自动化, 2019, 43(10): 10-18
WU Shengjun, LIU Jiankun, ZHOU Qian, et al. Optimal economic scheduling for multi-microgrid system with combined cooling, heating and power considering service of energy storage station[J]. Automation of Electric Power Systems, 2019, 43(10): 10-18
[26] 熊文, 刘育权, 苏万煌, 等. 考虑多能互补的区域综合能源系统多种储能优化配置[J]. 电力自动化设备, 2019, 39(1): 118-126
XIONG Wen, LIU Yuquan, SU Wanhuang, et al. Optimal configuration of multi-energy storage in regional integrated energy system considering multi-energy complementation[J]. Electric Power Automation Equipment, 2019, 39(1): 118-126
[27] 张伊宁, 何宇斌, 晏鸣宇, 等. 计及需求响应与动态气潮流的电—气综合能源系统优化调度[J]. 电力系统自动化, 2018, 42(20): 1-8
ZHANG Yining, HE Yubin, YAN Mingyu, et al. Optimal dispatch of integrated electricity-natural gas system considering demand response and dynamic natural gas flow[J]. Automation of Electric Power Systems, 2018, 42(20): 1-8

综合能源系统控制自由度指标及其对经济调度的影响

Control Freedom Index of Integrated Energy System and Its Impact on Economic Dispatch

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	李湃, 卢慧, 李驰, 杜洪博. 多能互补发电系统电/热储能容量双层优化配置方法[J]. 中国电力, 2025, 58(3): 55-64.
[2]	刘雨姗, 陈俊儒, 常喜强, 刘牧阳. 构网型储能变流器并网性能的多层级评价指标体系及应用[J]. 中国电力, 2025, 58(3): 193-203.
[3]	徐祥海, 商佳宜, 赵天煜, 龚莺飞, 何卫斌, 汤亚宸. 考虑碳排放限制与市场参与的储能利润优化[J]. 中国电力, 2025, 58(3): 204-212.
[4]	李金, 刘科孟, 许丹莉, 高为举, 黄磊, 吴浩星, 华昊辰. 基于共享储能站的多能互补微能源网外衍响应双层优化[J]. 中国电力, 2025, 58(2): 43-56.
[5]	赖业宁, 孙仲卿, 陆志平, 刘沁. 考虑储能资源聚合参与的电网优化运行与韧性提升策略[J]. 中国电力, 2025, 58(2): 57-65.
[6]	周建华, 梁昌誉, 史林军, 李杨, 易文飞. 计及阶梯式碳交易机制的综合能源系统优化调度[J]. 中国电力, 2025, 58(2): 77-87.
[7]	张玉敏, 尹延宾, 吉兴全, 叶平峰, 孙东磊, 宋爱全. 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.
[8]	闫志彬, 李立, 阳鹏, 宋蕙慧, 车彬, 靳盘龙. 考虑构网型储能支撑能力的微电网优化调度策略[J]. 中国电力, 2025, 58(2): 103-110.
[9]	胡景成, 范耘豪, 朱同, 陈珍萍. 基于同态加密的综合能源系统完全分布式低碳经济调度[J]. 中国电力, 2025, 58(2): 164-175.
[10]	陆海, 张浩, 陈晓云, 周苏洋. 基于双层博弈的多能源网络协同规划方法[J]. 中国电力, 2025, 58(1): 93-99.
[11]	鲁玲, 苑涛, 杨波, 李欣, 鲁洋, 蒲秋平, 张鑫. 计及㶲效率和多重不确定性的区域综合能源系统双层优化[J]. 中国电力, 2025, 58(1): 128-140.
[12]	邹小燕, 张瑞宏. 考虑政府干预的可再生能源与储能企业合作模式演化博弈研究[J]. 中国电力, 2025, 58(1): 153-163.
[13]	王雨晴, 张敏, 王嘉兴, 李泊皓, 杨天阳, 曾鸣. 基于超模博弈的共享储能容量租赁价格决策[J]. 中国电力, 2025, 58(1): 164-173.
[14]	张旭, 王淳, 胡奕涛, 陈锐凯, 刘昆, 郭志东, 钟俊勋. 面向短时过载及长期轻载的配变侧储能配置与调度双层优化[J]. 中国电力, 2025, 58(1): 174-184.
[15]	姜文瑾, 刘巧妹, 杨晓东, 阙定飞, 沈豫, 黄夏楠, 赖振华. 计及气固两相储氢特性的海上风电-多元储能系统优化配置[J]. 中国电力, 2024, 57(9): 103-112.

模态框（Modal）标题

综合能源系统控制自由度指标及其对经济调度的影响

Control Freedom Index of Integrated Energy System and Its Impact on Economic Dispatch

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics