计及能源社区产消者的综合能源系统优化方法

doi:10.11930/j.issn.1004-9649.202209073

中国电力 ›› 2023, Vol. 56 ›› Issue (11): 206-216.DOI: 10.11930/j.issn.1004-9649.202209073

计及能源社区产消者的综合能源系统优化方法

康继光¹(), 琚洁华¹, 赵艳敏¹, 赵裕童¹, 白雪涛², 赵英汝²(), 景锐²()

1. 国网上海市电力公司市区供电公司，上海　200122
2. 厦门大学能源学院，福建厦门　361102

收稿日期:2022-09-19 接受日期:2022-11-29 出版日期:2023-11-28 发布日期:2023-11-28
作者简介:康继光（1971—），男，高级工程师，从事供用电技术、电力市场研究，E-mail： 18918335083@sina.cn
赵英汝（1981—），女，教授，从事能源系统工程研究，E-mail： yrzhao@xmu.edu.cn
景锐（1989—），男，通信作者，副教授，从事综合能源系统建模优化与评估研究，E-mail： rjing@xmu.edu.cn
基金资助:
福建省自然科学基金杰出青年基金资助项目（2021J06006）；国家自然科学基金委面上资助项目（51876181）；中央高校基本科研业务费（厦门大学校长基金）（20720220081）。

Integrated Energy System Optimization Considering EnergyCommunities with Prosumers

Jiguang KANG¹(), Jiehua JU¹, Yanmin ZHAO¹, Yutong ZHAO¹, Xuetao BAI², Yingru ZHAO²(), Rui JING²()

1. Urban Power Supply Company, State Grid Shanghai Municipal Electric Power Company, Shanghai 200122, China
2. College of Energy, Xiamen University, Xiamen 361102, China

Received:2022-09-19 Accepted:2022-11-29 Online:2023-11-28 Published:2023-11-28
Supported by:
This work is supported by Distinguished Young Scholars Fund of Fujian Province (No.2021J06006), National Natural Science Foundation of China (No.51876181) and Fundamental Research Funds for the Central Universities (No.20720220081).

摘要/Abstract

摘要：

分布式可再生能源的发展使得用户逐步转变为产消者，能源社区协调本地能源分配，允许用户交易能源，为能源系统的提效降本提供了新方向。目前能源社区研究或聚焦于探索综合能源为住宅用户供能但未考虑用户间能源交易，或聚焦于用户间的能源交易但未考虑满足多种能源需求。提出一种计及能源社区产消者的综合能源优化方法，将综合能源服务商和用户作为不同利益主体，基于投标响应机制构建能源社区交易模型，以经济性最优为目标探索综合能源系统的最优设计与运行方案。案例表明，用户通过能源交易机制可有效转移负荷、降低用能成本且在交易中获益。同时，能源社区内产消者的能量交易和协调可降低对上层能源系统的依赖，减小本地可再生能源对上层能源系统的冲击。

关键词: 综合能源系统, 能源社区, 产消者, 能量交易, 建模与优化

Abstract:

The rapid development of distributed renewable energy gradually transforms energy users to prosumers. Energy communities coordinate the local energy distribution and help users to trade energy, which provides a new direction for energy systems to improve its efficiency and reduce energy cost. Most existing researches either focus on integrated energy systems (IES) design but without considering energy trading among users, or focus on energy trading but without consideration of meeting the users’ multi-energy demand. Therefore, this study proposes an optimization approach for IES considering energy communities with prosumers. Taking the integrated energy service providers and uses as different stakeholders, an energy community trading model is established based on the bid-response mechanism, and the optimal design and operation schemes of IES are studied with the aim to maximize economic benefits. The case study results indicate that users can efficiently shift the peak demand through energy trading, and reduce the energy cost and gain profits by trading within the energy community. Meanwhile, the prosumers within energy communities can reduce their dependence on the upper-level energy system through energy trading and coordination, subsequently mitigating the impact of local renewable energy generation on the upper-level energy system.

Key words: integrated energy systems, energy community, prosumer, energy trading, modelling and optimization

康继光, 琚洁华, 赵艳敏, 赵裕童, 白雪涛, 赵英汝, 景锐. 计及能源社区产消者的综合能源系统优化方法[J]. 中国电力, 2023, 56(11): 206-216.

Jiguang KANG, Jiehua JU, Yanmin ZHAO, Yutong ZHAO, Xuetao BAI, Yingru ZHAO, Rui JING. Integrated Energy System Optimization Considering EnergyCommunities with Prosumers[J]. Electric Power, 2023, 56(11): 206-216.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202209073

https://www.electricpower.com.cn/CN/Y2023/V56/I11/206

图/表 12

图 1 考虑能源社区产消者的综合能源系统示意

Fig.1 Schematic diagram of IES considering energy communities with prosumers

图 2 能源社区的能量交易流程

Fig.2 The energy trading procedure within energy communities

图 3 综合能源服务商的备选技术示意

Fig.3 Technology options for integrated energy service providers

表 1 环境参数

Table 1 Environmental parameters

碳排放因子/(kg·(kW·h)^–1)
天然气		电网电能
0.18		0.94

表 2 主要技术性参数

Table 2 Major technical parameters

热电联产机组		燃气锅炉	热泵
发电效率/%	热电比	热效率/%	性能系数
42	0.9	90	4.5

电制冷机组	吸收式制冷机组	电池储能系统
性能系数	性能系数	充电效率	放电效率
3.0	0.9	0.98	0.98

表 3 设备投资及运维成本

Table 3 Equipment investment and operation & maintenance cost

设备	投资成本/(元·kW^–1)	年维护成本/（元·kW^–1）
热电联产机组	4900	0.03250
燃气锅炉	800	0.00195
热泵	1200	0.00800
电制冷机组	1000	0.00200
吸收式制冷机组	1500	0.00130
光伏系统	4000	0.01200
电池储能系统	1800	0.00230

表 4 购售电分时电价

Table 4 Time of use tariff for purchasing and selling electricity

时段	购电价格/(元·(kW·h)^–1)	售电价格/(元·(kW·h)^–1)
00:00—06:00	0.39	0.35
06:00—08:00	0.75	0.52
08:00—11:00	0.98	0.52
11:00—15:00	1.16	0.62
15:00—18:00	0.98	0.52
18:00—22:00	1.16	0.62
22:00—24:00	0.39	0.35

图 4 含16种能源需求情景的情景树

Fig.4 The scenario tree with 16 energy demand scenarios

图 5 典型情景参与能源交易前后电需求、光伏输出及储电设备荷电状态和对应的逐时售电价格、购电价格以及社区内部协调交易价格

Fig.5 Electricity demand, PV output and state of charge before & after energy trading in a typical scenario and corresponding hourly electricity selling price, electricity purchasing price & intra-community electricity trading price

图 6 不同模式下的综合能源系统最优装机容量

Fig.6 Optimal installed capacities of IES in different modes

图 7 不同典型情景电、热、冷平衡情况

Fig.7 The electricity, heating and cooling balance under different scenarios

图 8 不同模式下用户与综合能源服务商的年化总成本与年碳总排放量

Fig.8 The annual total cost and annual total carbon emissions of users and integrated energy service providers under different modes

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计及能源社区产消者的综合能源系统优化方法

Integrated Energy System Optimization Considering EnergyCommunities with Prosumers

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