Multi-Area Interconnected Integrated Energy System Planning Considering Cloud Energy Storage

doi:10.12096/j.2096-4528.pgt.23057

Abstract

Abstract:

Objectives In order to promote the efficient utilization of energy storage and user-side resources and improve the level of clean energy consumption, a multi-area interconnected integrated energy system planning model considering cloud energy storage was proposed. Methods On the basis of establishing the energy router model of the regional integrated energy system, a virtual energy router model considering electricity/heat/gas cloud energy storage was proposed. Aiming at the problem that cloud energy storage and integrated energy system belong to different investment entities, considering the limitation of the investment return period of cloud energy storage, a dual-subject two-stage planning model was proposed. In the first stage, the grid, equipment capacity and cloud energy storage price were planned. In the second stage, the operation strategy of the integrated energy system was optimized. Aiming at the high complexity of multi-energy flow grid planning, a pre-screening algorithm based on minimum spanning tree was proposed. Results The example analysis results of a three-park integrated energy system planning show that the proposed model is helpful to improve energy efficiency, reduce carbon emissions, and improve the economic benefits of interconnected integrated energy systems. Conclusions The research reveals the potential of collaborative planning between cloud energy storage and multi-area integrated energy systems, and provides reference for the in-depth application and commercial promotion of multi-type energy storage in the energy field.

Key words: integrated energy system, energy internet, cloud storage system, energy router, two-stage stochastic programming

CLC Number:

TK 019

Chengping HU, Ming FAN, Aiwang LIU, Yunhui SHI. Multi-Area Interconnected Integrated Energy System Planning Considering Cloud Energy Storage[J]. Power Generation Technology, 2024, 45(4): 641-650.

Figures/Tables 17

References 29

1	黄彦彰，周宇昊，郑文广，等．产业园区新型多能联供综合能源服务研究[J]．发电技术，2021，42(6)：734-740． doi:10.12096/j.2096-4528.pgt.21099
	HUANG Y Z， ZHOU Y H， ZHENG W G，et al ．Research on new integrated energy system with multi-power combined supply of industrial parks[J]．Power Generation Technology，2021，42(6)：734-740． doi:10.12096/j.2096-4528.pgt.21099
2	贺文，陈珍萍，胡伏原，等．基于一致性的综合能源系统低碳经济调度[J]．电力系统保护与控制，2023，51(19)：42-53．
	HE W， CHEN Z P， HU F Y，et al ．Consensus-based low-carbon economic dispatching of integrated energy systems[J]．Power System Protection and Control，2023，51(19)：42-53．
3	宁毕武，张冠锋，王海鑫，等．考虑梯次利用储能系统安全阈值的综合能源系统低碳经济调度方法[J]．电力建设，2023，44(6)：1-11．
	NING B W， ZHANG G F， WANG H X，et al ．A low-carbon economic dispatch method for IES considering the safety threshold of echelon utilization energy storage system[J]．Electric Power Construction，2023，44(6)：1-11．
4	周任军，吴燕榕，潘轩，等．考虑电热需求响应的区域综合能源系统储能容量优化配置[J]．电力科学与技术学报，2023，38(1)：11-17．
	ZHOU R J， WU Y R， PAN X，et al ．Optimal placement of energy storage in a regional integrated energy system considering electric and thermal demand responses[J]．Journal of Electric Power Science and Technology，2023，38(1)：11-17．
5	江训谱，吕施霖，王健，等．考虑阶梯碳交易和最优建设时序的园区综合能源系统规划[J]．电测与仪表，2023，60(12)：11-19．
	JIANG X P， LÜ S L， WANG J，et al ．Park-level integrated energy system planning considering tiered carbon trading and optimal construction timing[J]．Electrical Measurement & Instrumentation，2023，60(12)：11-19．
6	程杉，陈诺，徐建宇，等．考虑综合需求响应的楼宇综合能源系统能量管理优化[J]．电力工程技术，2023，42(2)：40-47．
	CHENG S， CHEN N， XU J Y，et al ．Optimal energy management of residential integrated energy system with consideration of integrated demand response[J]．Electric Power Engineering Technology，2023，42(2)：40-47．
7	吴聪，唐巍，白牧可，等．基于能源路由器的用户侧能源互联网规划[J]．电力系统自动化，2017，41(4)：20-28．
	WU C， TANG W， BAI M K，et al ．Energy router based planning of energy Internet at user side[J]．Automation of Electric Power Systems，2017，41(4)：20-28．
8	XU X， JIN X， JIA H，et al ．Hierarchical management for integrated community energy systems[J]．Applied Energy，2015，160：231-243． doi:10.1016/j.apenergy.2015.08.134
9	WANG K， LIU X， ZHAO L，et al ．Research on structure and energy management strategy of household energy router based on hybrid energy storage[C]//2019 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)．Washington，DC，USA：IEEE，2019：1-5． doi:10.1109/isgt.2019.8791644
10	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 C， DONG X F， JIANG T ．Optimization planning of integrated electricity-gas community energy system based on coupled CCHP[J]．Power System Technology，2018，42(8)：2456-2466．
11	李畸勇，赵新哲，郑一飞，等．基于纳什谈判考虑能源共享的区域综合能源系统优化配置[J]．电力系统保护与控制，2023，51(5)：22-32．
	LI J Y， ZHAO X Z， ZHENG Y F，et al ．Optimal configuration of a regional integrated energy system considering energy sharing based on Nash negotiation[J]．Power System Protection and Control，2023，51(5)：22-32．
12	张明光，王文婷，陈大为．基于合作博弈的多区域综合能源系统优化调度[J]．智慧电力，2022，50(10)：102-108．
	ZHANG M G， WANG W T， CHEN D W ．Optimal dispatching of multi-regional integrated energy system based on cooperative game[J]．Smart Power，2022，50(10)：102-108．
13	范宏，鲁家阳，陆骁霄．考虑激励型需求响应的多区域综合能源系统协同规划[J]．电测与仪表，2023，60(9)：117-124．
	FAN H， LU J Y， LU X X ．Coordinated planning of multi-region integrated energy system considering incentive demand response[J]．Electrical Measurement ＆ Instrumentation，2023，60(9)：117-124．
14	ZHANG N， HU Z ．A novel power system source-grid-load coordinated planning model considering both efficiency power plant and demand response[C]//2018 IEEE International Conference on Energy Internet (ICEI)．Beijing，China：IEEE，2018：66-71． doi:10.1109/icei.2018.00020
15	ZHU Y， ZHAO N， ZHANG S，et al ．Research on modes of energy utilization in regional energy Internet[C]//2018 IEEE International Conference on Energy Internet (ICEI)．Beijing，China：IEEE，2018：38-42． doi:10.1109/icei.2018.00015
16	CHEN Y， ZHANG L， CHEN A，et al ．Multi-energy network model of virtual energy router[J]．E3S Web of Conferences，2019，118：02052． doi:10.1051/e3sconf/201911802052
17	蒋明喆，成贵学，赵晋斌．考虑动态荷储策略的综合能源系统双层规划模型[J]．电力科学与技术学报，2022，37(5)：44-57．
	JIANG M Z， CHENG G X， ZHAO J B ．Double-deck planning model of integrated energy system in consideration of dynamic load energy storage strategy[J]．Journal of Electric Power Science and Technology，2022，37(5)：44-57．
18	赵晶晶，应伦杰，屈靖雅．多区域含冷热电联供和储能的综合能源系统运行优化[J]．电测与仪表，2022，59(10)：16-22．
	ZHAO J J， YING L J， QU J Y ．Operation optimization of multi-region integrated energy system including cool-heat-electricity cogeneration and energy storage equipment[J]．Electrical Measurement & Instrumentation，2022，59(10)：16-22．
19	郭明萱，穆云飞，肖迁，等．考虑电池寿命损耗的园区综合能源电/热混合储能优化配置[J]．电力系统自动化，2021，45(13)：66-75．
	GUO M X， MU Y F， XIAO Q，et al ．Optimal configuration of electric/thermal hybrid energy storage for park-level integrated energy system considering battery life loss[J]．Automation of Electric Power Systems，2021，45(13)：66-75．
20	许周，孙永辉，谢东亮，等．计及电/热柔性负荷的区域综合能源系统储能优化配置[J]．电力系统自动化，2020，44(2)：53-59．
	XU Z， SUN Y H， XIE D L，et al ．Optimal configuration of energy storage for integrated region energy system considering power/thermal flexible load[J]．Automation of Electric Power Systems，2020，44(2)：53-59．
21	霍龙，张誉宝，陈欣．人工智能在分布式储能技术中的应用[J]．发电技术，2022，43(5)：707-717． doi:10.12096/j.2096-4528.pgt.22109
	HUO L， ZHANG Y B， CHEN X ．Artificial intelligence applications in distributed energy storage technologies[J]．Power Generation Technology，2022，43(5)：707-717． doi:10.12096/j.2096-4528.pgt.22109
22	徐文滨，孙一凡，王林，等．区块链架构下考虑共享储能的用户需求响应[J]．浙江电力，2023，42(4)：54-64．
	XU W B， SUN Y F， WANG L，et al ．Demand response of users considering shared energy storage under blockchain architecture[J]．Zhejiang Electric Power，2023，42(4)：54-64．
23	王苗苗，李华强，何永祥．考虑多主体电能交易的云储能服务机制[J]．电力建设，2022，43(11)：73-84．
	WANG M M， LI H Q， HE Y X ．Cloud energy storage service mechanism considering multi-agent power transaction[J]．Electric Power Construction，2022，43(11)：73-84．
24	LIU J， ZHANG N， KANG C，et al ．Cloud energy storage for residential and small commercial consumers：a business case study[J]．Applied Energy，2017，188：226-236． doi:10.1016/j.apenergy.2016.11.120
25	刘静琨，张宁，康重庆．电力系统云储能研究框架与基础模型[J]．中国电机工程学报，2017，37(12)：3361-3371．
	LIU J K， ZHANG N， KANG C Q ．Research framework and basic models for cloud energy storage in power system[J]．Proceedings of the CSEE，2017，37(12)：3361-3371．
26	郝木凯，张伟，董青卫，等．复杂因素下的多用户共享储能系统优化[J]．信息与控制，2020，49(2)：242-248．
	HAO M K， ZHANG W， DONG Q W，et al ．Optimization of multi-user shared energy storage system considering complex factors[J]．Information and Control，2020，49(2)：242-248．
27	匡熠，王秀丽，王建学，等．基于stackelberg博弈的虚拟电厂能源共享机制[J]．电网技术，2020，44(12)：4556-4564．
	KUANG Y， WANG X L， WANG J X，et al ．Virtual power plant energy sharing mechanism based on stackelberg game[J]．Power System Technology，2020，44(12)：4556-4564．
28	孙偲，陈来军，邱欣杰，等．基于合作博弈的发电侧共享储能规划模型[J]．全球能源互联网，2019，2(4)：360-366．
	SUN C， CHEN L J， QIU X J，et al ．A generation-side shared energy storage planning model based on cooperative game[J]．Journal of Global Energy Interconnection，2019，2(4)：360-366．
29	SOUISSI O， BENATITALLAH R， DUVIVIER D，et al ．Path planning：a 2013 survey[C]//Proceedings of 2013 International Conference on Industrial Engineering and Systems Management (IESM)．Agdal，Morocco：IEEE，2013：1-8．

设备	建设成本	运维成本	可安装园区
垃圾填埋场	6.14元/(t⋅d)	0.84元/(t⋅d)	1
生物质电厂	4 000元/kW	2.16元/kW	1
P2G	7 527元/kW	1.19元/kW	1, 2
风机	8 050元/kW	0.01元/kW	1
光伏	7 808元/kW	0.01元/kW	2, 3
燃气轮机	4 000元/kW	2.21元/kW	2
燃气锅炉	303元/kW	0.006 5元/kW	2
热泵	1 180元/kW	0.01元/kW	2, 3
电制冷	983元/kW	0.01元/kW	2, 3
电储能	142.86元/(kW⋅h)	0.000 27元/(kW⋅h)	1, 2, 3
储热	600元/(kW⋅h)	0.000 2元/(kW⋅h)	1, 2, 3
储气	256元/m³	0.000 2元/m³	1, 2, 3

设备	建设成本	运维成本	可安装园区
垃圾填埋场	6.14元/(t⋅d)	0.84元/(t⋅d)	1
生物质电厂	4 000元/kW	2.16元/kW	1
P2G	7 527元/kW	1.19元/kW	1, 2
风机	8 050元/kW	0.01元/kW	1
光伏	7 808元/kW	0.01元/kW	2, 3
燃气轮机	4 000元/kW	2.21元/kW	2
燃气锅炉	303元/kW	0.006 5元/kW	2
热泵	1 180元/kW	0.01元/kW	2, 3
电制冷	983元/kW	0.01元/kW	2, 3
电储能	142.86元/(kW⋅h)	0.000 27元/(kW⋅h)	1, 2, 3
储热	600元/(kW⋅h)	0.000 2元/(kW⋅h)	1, 2, 3
储气	256元/m³	0.000 2元/m³	1, 2, 3

规划设备	设计容量
规划设备	园区1	园区2	园区3
垃圾填埋场	1 685 t/d	—	—
生物质电厂	4.3 MW	—	—
风机	20 MW	—	—
光伏	—	5 MW	—
P2G	5 MW	500 kW	—
燃气轮机	—	—	—
燃气锅炉	—	16 MW	—
热泵	—	—	345 kW
电制冷	—	4.8 MW	250 kW
电储能	—	4.5 MW⋅h	—
储热	—	6.6 MW⋅h	3.5MW⋅h
储气	—	5.8万m³	—

规划设备	设计容量
规划设备	园区1	园区2	园区3
垃圾填埋场	1 685 t/d	—	—
生物质电厂	4.3 MW	—	—
风机	20 MW	—	—
光伏	—	5 MW	—
P2G	5 MW	500 kW	—
燃气轮机	—	—	—
燃气锅炉	—	16 MW	—
热泵	—	—	345 kW
电制冷	—	4.8 MW	250 kW
电储能	—	4.5 MW⋅h	—
储热	—	6.6 MW⋅h	3.5MW⋅h
储气	—	5.8万m³	—

EH	EH₁	EH₂	EH₃
EH₁	—	(1, 1, 1)	(1, 0, 0)
EH₂	(1, 1, 1)	—	(0, 0, 0)
EH₃	(1, 0, 0)	(0, 0, 0)	—