Research on coordinated optimized operation of microgrids in industrial parks considering energy storage operators

doi:10.3969/j.issn.2097-0706.2025.12.006

Abstract

Abstract:

Energy storage systems co-located with renewable energy stations in industrial parks generally lack effective market-based profitability models， resulting in low utilization rates and poor economic performance. In contrast， independent energy storage operators can flexibly participate in electricity market trading. Energy storage operators that meet technical and safety standards can enhance the overall economic efficiency of multiple sub-microgrid centers within industrial parks. A coordinated optimized operation model for multi-microgrids in industrial parks， considering the participation of unified energy storage operators， was proposed. Based on factors such as power output characteristics and topological structure， the system operation architecture was constructed， and the operational modes were analyzed. K-means clustering was employed to address the uncertainties in wind and solar power output. A coordinated optimized operation model for microgrids within industrial parks was established， and the branch and bound method was applied to solve the model. Comparisons with particle swarm optimization and genetic algorithms demonstrated its advantages in solution efficiency and accuracy. The case study results demonstrated that microgrids within industrial parks， considering unified energy storage operators， could effectively increase economic benefits for both individual entities and the overall system. This approach significantly increased the revenues of energy storage operators， effectively addressed the issues of renewable energy consumption， and reduced dependence on the distribution network， providing a quantifiable decision-making basis for microgrid operation and scheduling under unified energy storage operator management.

Key words: industrial park, microgrid, integrated energy, independent energy storage operator, electricity market trading, coordinated optimization, branch and bound method, renewable energy consumption

CLC Number:

TK01

LI Menglu, Degejirifu . Research on coordinated optimized operation of microgrids in industrial parks considering energy storage operators[J]. Integrated Intelligent Energy, 2025, 47(12): 57-65.

Figures/Tables 9

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参数	数值
电储能运维成本/[元·(kW·h)^-1]	0.030
CHP运维成本/[元·(kW·h)^-1]	0.016
P2G运维成本/[元·(kW·h)^-1]	0.030
CHP最大放电功率/kW	1 500
P2G最大放电功率/kW	250
锅炉最大功率/kW	900
锅炉能量转换效率	0.900
储能充、放电效率	0.900

时间	售/购电价	时间	售/购电价	时间	售/购电价
00:00	0.00/0.60	08:00	0.33/1.19	16:00	0.33/1.18
01:00	0.00/0.60	09:00	0.43/1.19	17:00	0.43/1.24
02:00	0.00/0.60	10:00	0.77/1.74	18:00	0.77/1.35
03:00	0.00/0.60	11:00	0.77/1.70	19:00	0.77/1.35
04:00	0.00/0.60	12:00	0.77/1.58	20:00	0.68/1.27
05:00	0.02/0.60	13:00	0.77/1.45	21:00	0.44/1.18
06:00	0.10/0.69	14:00	0.70/1.31	22:00	0.36/1.16
07:00	0.32/1.18	15:00	0.33/1.18	23:00	0.00/0.60

场景	主体	微网交互收益	微网总收益	微网与储能总收益
1	子微网1	0.00	-1.75	-1.75
	子微网2	0.00	-2.77	-2.77
	子微网3	0.00	2.01	2.01
2	子微网1	0.34	-2.12	-1.78
	子微网2	1.66	-1.87	-0.21
	子微网3	3.01	-2.93	0.08

对比指标	分支定界法	粒子群优化算法	遗传算法
最优值偏差/%	0（全局最优解）	1.91	3.75
求解时间/s	48.2	156.7	189.3
收敛迭代次数	0	85	120