Economic analysis method for park-level source-grid-load-storage integration project under independent investment operation mode

doi:10.11930/j.issn.1004-9649.202502013

Abstract

Abstract:

Given that the impact of initial investment in energy storage as well as its operational costs and revenues on the overall economic benefits of the integrated project are of vital importance, this paper proposes an investment benefit analysis method in which the operational profit of energy storage for park-level projects is taken into full consideration under the user's independent investment operation mode. Firstly, based on the operating characteristics of energy storage, quantitative models are constructed for typical-day residual photovoltaic (PV) charging/discharging volumes and peak-valley arbitrage electricity quantities in park-level energy storage. Secondly, models for various revenue sources within the project are presented. Then combined with the analysis of the investment and operating costs, a comprehensive investment return analysis model that accounts for the operating benefits of energy storage is proposed. Finally, the effectiveness of the proposed model and methodology is validated through the case study of a comprehensive park project in Shanxi Province. Simulation results show that with the internal power source primarily photovoltaic, considering the optimization objective of the overall system benefit, the optimal source-to-load ratio for the project should fall within the range of 2∶1 to 3∶1, and the energy storage configuration should account for 10% to 25% of the total installed PV capacity.

Key words: source-grid-load-storage integration, park level, investment and benefit, cost analysis, energy storage

WU Danman, DING Yucheng, XIE Guanglong, JIN Xiaoling. Economic analysis method for park-level source-grid-load-storage integration project under independent investment operation mode[J]. Electric Power, 2026, 59(2): 61-70.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202502013

https://www.electricpower.com.cn/EN/Y2026/V59/I2/61

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References 30

1	武彦婷, 翟彦寿. 源网荷储一体化项目政策分析及开发策略探讨[J]. 电力勘测设计, 2024 (6): 19- 23.
	WU Yanting, ZHAI Yanshou. Policy analysis and exploration strategy research on the integration of generation, grid, load and storage[J]. Electric Power Survey & Design, 2024 (6): 19- 23.
2	宋晓华, 冯汗青, 汪鹏. 考虑需求响应博弈推演的源网荷储一体化运行策略[J/OL]. 价格理论与实践, 1–8[2025-01-08]. https://doi.org/10.19851/j.cnki.CN11-1010/F.2024.10.268.
3	康俊杰, 赵春阳, 周国鹏, 等. 基于熵权-德尔菲法的源网荷储多能互补项目布局评估方法[J]. 中国电力, 2024, 57 (12): 120- 131.
	KANG Junjie, ZHAO Chunyang, ZHOU Guopeng, et al. A layout evaluation method for source-network-load-storage and multi-energy complementary projects based on entropy weight and Delphi method[J]. Electric Power, 2024, 57 (12): 120- 131.
4	董晓亮, 王雨萱, 张圣楠, 等. 源网荷储一体化项目参与市场的现状分析与前景展望[J]. 中国电力, 2025, 58 (11): 49- 61.
	DONG Xiaoliang, WANG Yuxuan, ZHANG Shengnan, et al. Market participation of integrated source-grid-load-storage projects: status and prospects[J]. Electric Power, 2025, 58 (11): 49- 61.
5	张华, 陈会员, 戴奇奇, 等. 源网荷储协调发展政策协同性及有效性评估研究: 以江西省为例[J]. 价格理论与实践, 2023 (5): 82- 86.
	ZHANG Hua, CHEN Huiyuan, DAI Qiqi, et al. Research on the synergy and effectiveness evaluation of the coordinated development policy of generation, transmission, loading and storage: taking Jiangxi Province as an example[J]. Price: Theory & Practice, 2023 (5): 82- 86.
6	刘敦楠, 徐尔丰, 许小峰. 面向园区微网的“源–网–荷–储”一体化运营模式[J]. 电网技术, 2018, 42 (3): 681- 689.
	LIU Dunnan, XU Erfeng, XU Xiaofeng. "Source-network-load-storage" integrated operation model for microgrid in park[J]. Power System Technology, 2018, 42 (3): 681- 689.
7	薛金花, 叶季蕾, 陶琼, 等. 基于多场景的商业园区源-储-荷系统运营模式及投资决策研究[J]. 电力自动化设备, 2019, 39 (2): 78- 83, 92.
	XUE Jinhua, YE Jilei, TAO Qiong, et al. Multi-scenarios based operation mode and investment decision of source-storage-load system in business park[J]. Electric Power Automation Equipment, 2019, 39 (2): 78- 83, 92.
8	孙强, 谢典, 聂青云, 等. 含电-热-冷-气负荷的园区综合能源系统经济优化调度研究[J]. 中国电力, 2020, 53 (4): 79- 88.
	SUN Qiang, XIE Dian, NIE Qingyun, et al. Research on economic optimization scheduling of park integrated energy system with electricity-heat-cool-gas load[J]. Electric Power, 2020, 53 (4): 79- 88.
9	庄加利, 高凤玉. 关于源网荷储项目系统分析与发展的探究[J]. 能源科技, 2024, 22 (5): 62- 65.
	ZHUANG Jiali, GAO Fengyu. Research on system analysis and development of source-grid-load-storage project[J]. Energy Science and Technology, 2024, 22 (5): 62- 65.
10	杨珂, 朱洪斌, 李达, 等. 基于压缩感知的纵向联邦学习园区负荷预测方法[J]. 电力信息与通信技术, 2024, 22 (5): 36- 42.
	YANG Ke, ZHU Hongbin, LI Da, et al. Load forecasting method for vertical federated Learning park based on compressed sensing[J]. Electric Power Information and Communication Technology, 2024, 22 (5): 36- 42.
11	马昭. 新型电力系统下微电网运营模式及效益实现机制研究[D]. 北京: 华北电力大学, 2024.
	MA Zhao. Research on micro-grid operation mode and benefit realization mechanism under new power system[D]. Beijing: North China Electric Power University, 2024.
12	檀勤良, 曾贾斌, 吕函谕, 等. 考虑源网荷储协同的配网侧分布式光伏市场交易策略优化[J]. 中国电力, 2025, 58 (10): 39- 49.
	TAN Qinliang, ZENG Jiabin, LV Hanyu, et al. Optimization of distribution-side distributed photovoltaic market trading strategies considering source-grid-load-storage coordination[J]. Electric Power, 2025, 58 (10): 39- 49.
13	MENG Q L, JIN X L, LUO F Z, et al. Distributionally robust scheduling for benefit allocation in regional integrated energy system with multiple stakeholders[J]. Journal of Modern Power Systems and Clean Energy, 2024, 12 (5): 1631- 1642.
14	姚明明, 张新, 杨培宏, 等. 基于改进风光场景聚类联合虚拟储能的源网荷储低碳优化调度[J]. 电力系统保护与控制, 2024, 52 (15): 115- 130.
	YAO Mingming, ZHANG Xin, YANG Peihong, et al. Low-carbon optimal scheduling of source-grid-load-storage based on improved wind-solarscene clustering combined with virtual energy storage[J]. Power System Protection and Control, 2024, 52 (15): 115- 130.
15	闫志彬, 李立, 阳鹏, 等. 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.
	YAN Zhibin, LI Li, YANG Peng, et al. Optimal scheduling strategy for microgrid considering the support capabilities of grid forming energy storage[J]. Electric Power, 2025, 58 (2): 103- 110.
16	HUANG S J, ABEDINIA O. Investigation in economic analysis of microgrids based on renewable energy uncertainty and demand response in the electricity market[J]. Energy, 2021, 225, 120247.
17	TRIBIOLI L, COZZOLINO R. Techno-economic analysis of a stand-alone microgrid for a commercial building in eight different climate zones[J]. Energy Conversion and Management, 2019, 179, 58- 71.
18	李金超, 肖雅, 朱烨. 基于改进Shapley值的源网荷储一体化项目利益分配研究[J]. 价格理论与实践, 2024 (4): 95- 100, 224.
	LI Jinchao, XIAO Ya, ZHU Ye. Research on benefit allocation of source network load storage integration project based on improved shapley value[J]. Price (Theory & Practice), 2024 (4): 95- 100, 224.
19	吴敬芳. 智能微电网工程效益研究[J]. 能源与环境, 2024 (4): 36- 38.
20	申融容, 姜丰, 韦泽全, 等. 基于博弈论组合赋权和MARCOS的能源互联网园区项目综合效益评价[J]. 综合智慧能源, 2023, 45 (11): 70- 81.
	SHEN Rongrong, JIANG Feng, WEI Zequan, et al. Comprehensive benefit evaluation for Energy Internet park projects based on combined weight of game[J]. Integrated Intelligent Energy, 2023, 45 (11): 70- 81.
21	华晟辉, 夏敏浩, 张铭泽, 等. 并网型微电网业务投资效益评估方法研究[J]. 电力勘测设计, 2023 (7): 72- 76.
	HUA Shenghui, XIA Minhao, ZHANG Mingze, et al. Investment benefit evalution method of business on grid-connected microgrid[J]. Electric Power Survey & Design, 2023 (7): 72- 76.
22	李蕊. 基于不同商业运营模式的分布式电源/微电网综合效益评价方法[J]. 电网技术, 2017, 41 (6): 1748- 1758.
	LI Rui. Comprehensive benefit evaluation method of distributed generation/microgrid projects based on different business models[J]. Power System Technology, 2017, 41 (6): 1748- 1758.
23	朱志芳, 胡柳君, 董红, 等. 基于光-储-微网合作博弈的保供电型微电网运营模式[J]. 南方电网技术, 2025, 19 (4): 15- 26.
	ZHU Zhifang, HU Liujun, DONG Hong, et al. Operation mode of power-guaranteed microgrid based on PhotovoltaicStorage-microgrid cooperative game[J]. Southern Power System Technology, 2025, 19 (4): 15- 26.
24	华晟辉, 张铭泽, 黄阮明. 微电网项目投资回收分析[J]. 中国电力企业管理, 2023 (21): 72- 73.
25	王凤学, 欧阳森, 辛曦, 等. 保供电型光储微电网运营策略分析[J]. 电力自动化设备, 2023, 43 (5): 184- 191.
	WANG Fengxue, OUYANG Sen, XIN Xi, et al. Operation strategy analysis of power supply ensuring microgrid with photovoltaic and energy storage[J]. Electric Power Automation Equipment, 2023, 43 (5): 184- 191.
26	付豪, 崔培强, 梁叶云. 高速公路微电网经济效益测算研究[J]. 交通节能与环保, 2024, 20 (1): 1- 5.
	FU Hao, CUI Peiqiang, LIANG Yeyun. Study on economic benefit calculation of expressway micro-grid[J]. Transport Energy Conservation & Environmental Protection, 2024, 20 (1): 1- 5.
27	王烁祺, 刘彬, 谢晓聪, 等. 光储充放直流微网系统配置与经济测算分析[J]. 建设科技, 2023 (15): 43- 46.
	WANG Shuoqi, LIU Bin, XIE Xiaocong, et al. Analysis on system configuration and economic calculation of PV-ESS-V2G DC microgrids[J]. Construction Science and Technology, 2023 (15): 43- 46.
28	朱铁铭, 陈大兴, 沈凯, 等. 光储充组态综合能源投资收益预测模型构建[J]. 微型电脑应用, 2024, 40 (7): 121- 124, 129.
	ZHU Tieming, CHEN Daxing, SHEN Kai, et al. Construction of comprehensive energy investment income prediction model for solar charging and storage configuration[J]. Microcomputer Applications, 2024, 40 (7): 121- 124, 129.
29	钱君霞, 郭家兴, 马鸿娟, 等. 基于增量配电网园区的源网荷储一体化平台建设方案研究与应用[J]. 电工技术, 2024 (17): 17- 21.
	QIAN Junxia, GUO Jiaxing, MA Hongjuan, et al. Source-grid-load-storage integrated platform construction scheme for regional incremental distribution networks[J]. Electric Engineering, 2024 (17): 17- 21.
30	国网能源研究院. 山东省分时电价政策创新与实践[R]. 北京: 国网能源研究院, 2025.

项目	数值	项目	数值
光伏单位组件价格/ (元·kW^–1)	1200	储能单位成本/ (元·(kW·h)^–1)	1500
光伏单位工程造价/ (元·kW^–1)	2000	储能单位施工成本/ (元·(kW·h)^–1)	200
光伏单位造价/(元·kW^–1)	3200	光伏单位运维成本/ (元·(kW·h)^–1)	50
		储能单位运维成本/ (元·(kW·h)^–1)	40

项目	数值	项目	数值
光伏单位组件价格/ (元·kW^–1)	1200	储能单位成本/ (元·(kW·h)^–1)	1500
光伏单位工程造价/ (元·kW^–1)	2000	储能单位施工成本/ (元·(kW·h)^–1)	200
光伏单位造价/(元·kW^–1)	3200	光伏单位运维成本/ (元·(kW·h)^–1)	50
		储能单位运维成本/ (元·(kW·h)^–1)	40

时段	夏季	冬季	其他季节
谷时段	0.318	0.318	0.318
平时段	0.519	0.519	0.519
峰时段	0.739	0.739	0.739
尖时段	0.857	0.857	0.857

时段	夏季	冬季	其他季节
谷时段	0.318	0.318	0.318
平时段	0.519	0.519	0.519
峰时段	0.739	0.739	0.739
尖时段	0.857	0.857	0.857

类型	收益
自发自用电量	29997262
峰谷套利	1598224
绿电	1116622