区域能源互联网多能协同优化中的储能效益评估

doi:10.12204/j.issn.1000-7229.2021.05.006

电力建设 ›› 2021, Vol. 42 ›› Issue (5): 48-56.doi: 10.12204/j.issn.1000-7229.2021.05.006

区域能源互联网多能协同优化中的储能效益评估

方陈¹^,², 张宇¹, 廖望³, 时珊珊¹, 刘东³

1.国网上海市电力公司电力科学研究院,上海市 200437
2.华东电力试验研究院有限公司,上海市 200437
3.电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市 200240

收稿日期:2020-09-26 出版日期:2021-05-01 发布日期:2021-05-06
通讯作者: 廖望
作者简介:方陈(1983),男,博士,高级工程师,主要研究方向为智能电网、分布式新能源和微电网优化运行;|张宇(1970),男,教授级高级工程师,国家电网公司工程技术专家,全国电力储能标准化技术委员会委员,主要研究方向为电力储能应用技术;|时珊珊(1985),女,博士,高级工程师,主要研究方向为新能源、微电网、储能技术;|刘东(1968),男,博士,长聘教授,主要研究方向为主动配电网、电网信息物理系统。
基金资助:
国网上海市电力公司科技项目(B30940190003);上海市青年科技启明星计划资助项目(18QB1400200)

Benefit Evaluation of Energy Storage in Multi-energy Collaborative Optimization of Regional Energy Internet

FANG Chen¹^,², ZHANG Yu¹, LIAO Wang³, SHI Shanshan¹, LIU Dong³

1. Electric Power Research Institute, State Grid Shanghai Municipal Electric Power Company, Shanghai 200437, China
2. East China Electric Power Test and Research Institute Co., Ltd., Shanghai 200437, China
3. Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education (Shanghai Jiao Tong University), Shanghai 200240, China

Received:2020-09-26 Online:2021-05-01 Published:2021-05-06
Contact: LIAO Wang
Supported by:
Science and Technology Project of State Grid Shanghai Municipal Electric Power Company(B30940190003);Shanghai Rising-Star Program(18QB1400200)

摘要/Abstract

摘要：

能源互联网通过横向的多能互补和纵向“源-网-荷-储”的高度协调实现能量的高效利用,被视作未来智能电网的发展形态。为评估多元储能配置在区域能源互联网(regional energy Internet,REI)多能协同优化中产生的效益,首先对区域能源互联网的架构进行了分析;接着以多元储能模型、多能耦合设备模型和能源路由器(energy router,ER)模型为基础,构建了多能耦合的储能系统模型;然后从峰谷差效益、环境效益和降低能量损耗效益3个方面提出了储能的效益评估模型,并给出了相应评估指标;最后以一个含电、气、热负荷的商业型REI为算例进行了储能效益计算,分析了不同容量与不同类型的储能配置对REI产生效益的影响,同时验证了所提指标的有效性,为REI中储能的配置与相关市场机制的建立提供了指导。

关键词: 热电联产, 储能, 区域能源互联网(REI), 效益评估

Abstract:

The energy Internet is regarded as the development form of smart grid in the future by realizing horizontal multi-energy complementation and vertical high coordination of "source-grid-load-storage" to achieve efficient energy utilization. In order to evaluate the benefits of multi-energy storage configuration in regional energy Internet (REI) multi-energy collaborative optimization, the architecture of regional energy Internet is analyzed firstly, and then on the basis of the multi-energy storage model, multi-energy coupling device model and energy router (ER) model, a multi-energy coupling energy storage system model is constructed. Then, the benefit evaluation model of energy storage is proposed from three aspects of peak-valley difference benefit, environmental benefit and energy-loss reduction benefit, and the corresponding evaluation indices are given. Finally, a commercial REI with electricity, gas and heat load is taken as an example to calculate the energy storage benefit, and different capacity and different types of energy consumption are analyzed and the effectiveness of the proposed index is verified. The results provide guidance for the allocation of energy storage in REI and the establishment of relevant market mechanism.

Key words: combined heating and power, energy storage, regional energy Internet (REI), benefit evaluation

中图分类号:

TM73

方陈, 张宇, 廖望, 时珊珊, 刘东. 区域能源互联网多能协同优化中的储能效益评估[J]. 电力建设, 2021, 42(5): 48-56.

FANG Chen, ZHANG Yu, LIAO Wang, SHI Shanshan, LIU Dong. Benefit Evaluation of Energy Storage in Multi-energy Collaborative Optimization of Regional Energy Internet[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(5): 48-56.

图/表 11

图1 区域能源互联网的能量结构

Fig.1 Energy structure of regional energy Internet

图2 扩展ER能量转换示意图

Fig.2 Energy conversion diagram of extended ER

图3 不同场景下效益评估结果

Fig.3 Benefit evaluation results under different scenarios

图4 不同场景下的贡献度对比

Fig.4 Comparison of contribution degree in different scenarios

表1 不同场景的效益率对比

Table 1 Comparison of benefit rates in different scenarios

图5 储能容量比对贡献度的影响

Fig.5 Influence of energy storage capacity ratio on contribution degree

图6 储能容量对效益率的影响

Fig.6 Influence of energy storage capacity on benefit rate

图7 储能容量比对效益率的影响

Fig.7 Influence of energy storage capacity ratio on benefit rate

表A1 设备主要参数

Table A1 Main parameters of equipment

图A1 负荷与风光预测出力曲线

Fig.A1 Load and prediction output of photovoltaic and wind power

图A2 能价曲线

Fig.A2 Curve of energy prices

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区域能源互联网多能协同优化中的储能效益评估

Benefit Evaluation of Energy Storage in Multi-energy Collaborative Optimization of Regional Energy Internet

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