Coordinated and optimized dispatching of park integrated energy system based on

doi:10.19799/j.cnki.2095-4239.2021.0445

Abstract

Abstract:

The comprehensive energy system in the park has the characteristics of many energy supply subsystems. It is critical to coordinate and optimize multiple energy supply subsystems to improve the system's economic operation. Therefore, a coordinated and optimized scheduling method for the park's integrated energy system is proposed, based on an "end-edge cloud" architecture. In this method, considering the mutual economic complementarity of electricity, heat, and gas between adjacent energy supply subsystems in the park, an integrated energy system optimization model is established in the cloud, the synchronous ADMM algorithm is used to solve the scheduling scheme on the edge side, and the optimal scheduling scheme is controlled for each energy consuming equipment on the end side. The example results show that the proposed optimal scheduling method can improve the economy and reliability of system operation, as well as relieve the dispatching center's computational pressure.

Key words: end edge cloud, carbon capture (CCS), electricity to gas (p2g), synchronous ADMM, park comprehensive energy

CLC Number:

TM 73

Hao LI, Jing ZHANG, Chang LIU, Wen LI. Coordinated and optimized dispatching of park integrated energy system based on "End Edge Cloud" architecture[J]. Energy Storage Science and Technology, 2022, 11(2): 623-634.

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References 21

1	杨新法, 苏剑, 吕志鹏, 等. 微电网技术综述[J]. 中国电机工程学报, 2014, 34(1): 57-70.
	YANG X F, SU J, LYU Z P, et al. Overview on micro-grid technology[J]. Proceedings of the CSEE, 2014, 34(1): 57-70.
2	吴鸣, 熊雄, 季宇, 等. 微网群技术综述[J]. 储能科学与技术, 2019, 8(4): 621-628.
	WU M, XIONG X, JI Y, et al. Overview on multi-microgrid technologies[J]. Energy Storage Science and Technology, 2019, 8(4): 621-628.
3	刘迎澍, 陈曦, 李斌, 等. 多微网系统关键技术综述[J]. 电网技术, 2020, 44(10): 3804-3820.
	LIU Y S, CHEN X, LI B, et al. State of art of the key technologies of multiple microgrids system[J]. Power System Technology, 2020, 44(10): 3804-3820.
4	叶亮, 吕智林, 王蒙, 等. 基于最优潮流的含多微网的主动配电网双层优化调度[J]. 电力系统保护与控制, 2020, 48(18): 27-37.
	YE L, LYU Z L, WANG M, et al. Bi-level programming optimal scheduling of ADN with a multi-microgrid based on optimal power flow[J]. Power System Protection and Control, 2020, 48(18): 27-37.
5	张伟亮, 张辉, 支娜, 等. 考虑网络损耗的基于模型预测直流微电网群能量优化策略[J]. 电力系统自动化, 2021, 45(13): 49-56.
	ZHANG W L, ZHANG H, ZHI N, et al. Model prediction based energy optimization strategy for DC microgrid groups considering network loss[J]. Automation of Electric Power Systems, 2021, 45(13): 49-56.
6	张志文, 李华强. 考虑灵活性的孤岛微电网群分层能量管理策略[J]. 电力系统保护与控制, 2020, 48(20): 97-105.
	ZHANG Z W, LI H Q. A hierarchical energy management strategy for an island microgrid cluster considering flexibility[J]. Power System Protection and Control, 2020, 48(20): 97-105.
7	ZHANG Z Y, WANG Z J, WANG H, et al. Research on Bi-level optimized operation strategy of microgrid cluster based on IABC algorithm[J]. IEEE Access, 2021, 9: 15520-15529.
8	XIE P, JIA Y W, CHEN H K, et al. Mixed-stage energy management for decentralized microgrid cluster based on enhanced tube model predictive control[J]. IEEE Transactions on Smart Grid, 2021, 12(5): 3780-3792.
9	LU T G, WANG Z Y, AI Q, et al. Interactive model for energy management of clustered microgrids[J]. IEEE Transactions on Industry Applications, 2017, 53(3): 1739-1750.
10	练小林, 李晓露, 曹阳, 等. 考虑多主体主从博弈的多微网协调优化调度[J]. 电力系统及其自动化学报, 2021, 33(1): 85-93.
	LIAN X L, LI X L, CAO Y, et al. Coordinated optimization scheduling of multi-microgrid considering multi-agent leader-follower game[J]. Proceedings of the CSU-EPSA, 2021, 33(1): 85-93.
11	戴志辉, 陈冰研, 谢军, 等. 含多微网的主动配电网分层调度策略[J]. 电力系统保护与控制, 2018, 46(18): 121-127.
	DAI Z H, CHEN B Y, XIE J, et al. Hierarchical scheduling strategy for active distribution network with multi-microgrids[J]. Power System Protection and Control, 2018, 46(18): 121-127.
12	FARZIN H, FOTUHI-FIRUZABAD M, MOEINI-AGHTAIE M. Enhancing power system resilience through hierarchical outage management in multi-microgrids[J]. IEEE Transactions on Smart Grid, 2016, 7(6): 2869-2879.
13	MEHRJERDI H. Resilience improvement with zero load curtailment by multi-microgrid based on system of systems[J]. IEEE Access, 2020, 8: 198494-198502.
14	姚强, 王昕. 计及可转移负荷的微电网群分布式优化调度[J]. 电气自动化, 2020, 42(3): 41-44, 98.
	YAO Q, WANG X. Distributed optimal scheduling of micro-grid groups considering transferable load[J]. Electrical Automation, 2020, 42(3): 41-44, 98.
15	ZHAO Z L, XU Z R, GUO J T, et al. Multi-time scale regional autonomous operation strategy for multi-microgrids with three-phase/single-phase hybrid structure[J]. IEEE Access, 2020, 8: 85923-85938.
16	孟繁星, 孙英云, 蒲天骄, 等. 考虑区域自治能力的主动配电网分层优化调度[J]. 电力系统自动化, 2018, 42(15): 70-76.
	MENG F X, SUN Y Y, PU T J, et al. Hierarchical optimal scheduling model for active distribution network considering regional autonomy ability[J]. Automation of Electric Power Systems, 2018, 42(15): 70-76.
17	王皓, 艾芊, 吴俊宏, 等. 基于交替方向乘子法的微电网群双层分布式调度方法[J]. 电网技术, 2018, 42(6): 1718-1727.
	WANG H, AI Q, WU J H, et al. Bi-level distributed optimization for microgrid clusters based on alternating direction method of multipliers[J]. Power System Technology, 2018, 42(6): 1718-1727.
18	张兴平, 张又中. 计及P2G和CCS的园区级电-热-气综合能源系统多目标优化[J]. 电力建设, 2020, 41(12): 90-99.
	ZHANG X P, ZHANG Y Z. Multi-objective optimization model for park-level electricity-heat-gas integrated energy system considering P2G and CCS[J]. Electric Power Construction, 2020, 41(12): 90-99.
19	ZHANG X P, ZHANG Y Z. Environment-friendly and economical scheduling optimization for integrated energy system considering power-to-gas technology and carbon capture power plant[J]. Journal of Cleaner Production, 2020, 276: doi: 10.1016/j.jclepro.2020.23348.
20	梁俊文, 林舜江, 刘明波. 主动配电网分布式无功优化控制方法[J]. 电网技术, 2018, 42(1): 230-237.
	LIANG J W, LIN S J, LIU M B. A method for distributed optimal reactive power control of active distribution network[J]. Power System Technology, 2018, 42(1): 230-237.
21	瞿小斌, 文云峰, 叶希, 等. 基于串行和并行ADMM算法的电-气能量流分布式协同优化[J]. 电力系统自动化, 2017, 41(4): 12-19.
	QU X B, WEN Y F, YE X, et al. Distributed optimization of electric-gas integrated energy flow using serial and parallel iterative modes for alternating direction method of multipliers[J]. Automation of Electric Power Systems, 2017, 41(4): 12-19.

对比	所包含设备
MG1	风机、光伏、CCHP机组、电、热储能系统、P2G、CCS机组、电锅炉、制冷机组以及电、热、气负荷
MG2	光伏、CCHP机组、电、热储能系统、P2G、CCS机组、电制冷机组以及电、热、气负荷
MG3	风机、光伏、CCHP机组、电、热储能系统、电锅炉、电制冷机组以及电、热、气负荷
MG4	风机、光伏、电、热储能系统、电制冷以及电、热、气负荷
MG5	风机、光伏、CCHP机组、电、热储能系统、P2G、CCS机组、电锅炉、制冷机组以及电、热、气负荷
MG6	光伏、CCHP机组、电、热储能系统、电制冷机组以及电、热、气负荷

类别	时间段	价格/元
电	0:00—8:00	0.382
	8:00—12:00 16:00—19:00 22:00—24:00	0.540
	12:00—16:00 19:00—22:00	0.922
气	0:00—8:00 20:00—24:00	0.450
	9:00—11:00 13:00—17:00	0.650
	7:00—9:00 11:00—13:00 17:00—20:00	0.900
热	0:00—24:00	0.400

类型	与上级电网交互成本/元	与上级气网交互成本/元	与上级热网交互成本/元	相邻传输成本/元	合计/元
分布式优化	26648.7	23324.69	-1579.50	1972.84	50366.73
集中式优化	26749.5	23337.78	-1587.40	1988.92	50488.8

成本	相邻子系统间不存在交互	相邻子系统考虑电、热、气交互
MG1运行成本/元	5895.13	6427.19
MG2运行成本/元	26338.81	21258.70
MG3运行成本/元	-3858.67	-1101.00
MG4运行成本/元	16430.23	13093.07
MG5运行成本/元	6528.93	6282.51
MG6运行成本/元	2985.46	2433.46
相邻传输成本/元	0	1972.84
总运行成本/元	54283.92	50366.73

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[6]	Xiaozhi GAO, Lei WANG, Jin TIAN, Jialu LIU, Qinghua LIU. Research on hybrid energy storage power distribution strategy based on parameter optimization variational mode decomposition [J]. Energy Storage Science and Technology, 2022, 11(1): 147-155.
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[10]	Yanjuan LU, Youqin CHEN, Tinglong PAN. Community microgrid energy management considering electric vehicles and demand response [J]. Energy Storage Science and Technology, 2021, 10(2): 617-623.
[11]	Jundong DUAN, Gaoshang LI, Yishi LI, Ziheng FU, Hongye HUANG. Coordinated charging control for EV charging stations considering wind power accommodation [J]. Energy Storage Science and Technology, 2021, 10(2): 630-637.
[12]	Ruixin CAO, Jin ZHANG, Jiakun ZHU. Study of optimal system configuration and charge-discharge strategy of user-side battery energy storage [J]. Energy Storage Science and Technology, 2020, 9(6): 1890-1896.
[13]	LI Xiaoen, LU Ting, ZHAO Lulu, ZHOU You. Modeling and control strategy for energy storage system of micro-grid based on value stream analysis method [J]. Energy Storage Science and Technology, 2020, 9(3): 735-742.