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Evaluation index system of shared energy storage market towards renewable energy accommodation scenario: A China’s Qinghai province context

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【论文推荐】浙江大学 文福拴等:面向可再生能源消纳场景的共享储能市场评价指标体系:以青海省为例

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随着电力系统中可再生能源发电机组的装机容量不断增加,共享储能作为一种新型的储能商业模式,可能将在可再生能源消纳场景领域发挥重要作用。然而,目前还没有统一的评价标准和方法帮助决策者分析共享储能市场的绩效。本文基于中国青海省的共享储能交易规则与结构-行为-绩效分析模型,设计了共享储能市场评价指标体系。其次,阐述了指标的详细定义与特性,这些指标能够从不同角度反映市场绩效。然后,基于共享储能市场的发展预期,设计了理想解作为评价基准,并应用层次分析法与双基点法实现共享储能市场的综合评价。最后,基于青海共享储能交易试点的实际数据进行算例分析,结果表明本文提出的评价指标体系能够有效反映共享储能市场的运行状态、存在问题和影响因素。

Evaluation index system of shared energy storage market towards renewable energy accommodation scenario: A China’s Qinghai province context

面向可再生能源消纳场景的共享储能市场评价指标体系:以青海省为例

Baomin Fang1, Weiqiang Qiu2, Maochun Wang1, Wei Zhou1, Zhenzhi Lin2, Fushuan Wen2

(1.State Grid Qinghai Electric Power Company, Xining 810008, P. R. China 2.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, P.R.China)

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Evaluation Index System of Shared Energy Storage Market Tow

Abstract

With the ever-increased installed capacity of renewable energy generation units in a power system, the so-called shared energy storage (SES), a novel business model under the umbrella of the shared economy principle, has the potential to play an essential role in the accommodation of renewable energy generation. However, unified evaluation standards and methods, which can help decision-makers analyze the performance of the SES market, are still not available. In this paper, an evaluation index system of the SES market is designed based on the trading rules of China’s Qinghai province and the structure-conduct-performance (SCP) analytical model. Moreover, the definition and characteristics of the indices, which can show the performance of the SES market from different perspectives, are given. Furthermore, the ideal cases are presented as the evaluation benchmark based on the development expectation of the SES market, and the analytic hierarchy process (AHP) and the technique for order preference by similarity to an ideasolution (TOPSIS) are applied to evaluate the SES market comprehensively. Finally, a case study based on actual data of the SES trading pilot project in Qinghai shows that the evaluation index system can reflect the operation statul s, existing problems and influencing factors of the SES market.

Keywords

Shared energy storage (SES), Renewable energy accommodation scenario, Evaluation index system, Ancillary service market.

Fig.1  A typical framework of SES towards renewable energy accommodation scenario

Fig.2  Renewable energy installed capacity in Qinghai

Fig.3  Evaluation index system of SES marke

Fig.4  Flowchart of the evaluation process for the SES market

Fig.5  Sensitivity to the ideal solution of evaluation indices of the SES market

Fig.6  Relative closeness of AHP-TOPSIS based and BMW- TOPSIS based evaluation methods

Fig.7  Analysis on influencing factors of the SES market

本文引文信息

Fang B M, Qiu W Q, Wang M C, Zhou W, Lin Z Z, Wen F S (2022) Evaluation index system of shared energy storage market towards renewable energy accommodation scenario: A China’s Qinghai province context. Global Energy Interconnection, 5(1):77-95

方保民,邱伟强,王茂春,周炜,林振智,文福拴(2022)面向可再生能源消纳场景的共享储能市场评价指标体系:以青海省为例. 全球能源互联网(英文),5(1): 77-95

Biographies

Baomin Fang

received the B.E. degree at North China Electric Power University, Beijing, China, in 1997. He joined the State Grid Qinghai Electric Power Company, Qinghai, China, in 1997. He is currently a Director in the Center of Dispatch and Control. His research interests include dispatching of power systems and shared energy storage.

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Weiqiang Qiu

received the B.E. degree from Tianjin University, Tianjin, China, in 2016 and the M.E. degree from Fuzhou University, Fuzhou, China, in 2019. He is currently working toward Ph.D. degree in the College of Electrical Engineering, Zhejiang University, Hangzhou, China. His research interests include sharing energy storage, application of blockchain in power system, and power system situation awareness.

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Maochun Wang

received the B.E. degree from Northwest Minzu University, Lanzhou, China, in 2005 and the M.E. degree from Northeast Electric Power University, Jilin, China, in 2008. He joined the State Grid Qinghai Electric Power Company, Qinghai, China, in 2008. He is currently a Chief Engineer in the Center of Dispatch and Control. His research interests include dispatching of power systems and shared energy storage.

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Wei Zhou

received the B.E. degree at Southeast University, Nanjing, China, in 2009. He joined the State Grid Qinghai Electric Power Company, Qinghai, China, in 2010. He is currently a Special Administrator in the Center of Dispatch and Control. His research interest includes dispatching of power systems.

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Zhenzhi Lin

received the Ph.D. degree in electrical engineering from South China University of Technology, Guangzhou, China, in 2008.

He was a Research Assistant in the Department of Electrical Engineering at The Hong Kong Polytechnic University from 2007 to 2008, a Research Scholar in the Min Kao Department of Electrical Engineering and Computer Science at the University of Tennessee from 2010 to 2011, and a Research Associate in College of Engineering and Computing Sciences at Durham University from 2013 to 2014. He is currently a Professor in the College of Electrical Engineering, Zhejiang University, Hangzhou, China. His research interests include power system wide-area monitoring and control, controlled islanding and power system restoration.

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Fushuan Wen

received the B.E. and M.E. degrees from Tianjin University, Tianjin, China, in 1985 and 1988, respectively, and the Ph.D. degree from Zhejiang University, Hangzhou, China, in 1991, all in electrical engineering. He joined the faculty of Zhejiang University in 1991, and has been a full professor in electrical engineering since 1997. He is also a part-time distinguished professor in electrical engineering under Yusheng XUE Education Foundation in Hangzhou Dianzi University, Hangzhou, China. He had been a university distinguished professor  in  electrical  engineering,  the  deputy  dean of the School of Electrical Engineering and the director of the Institute of Power Economics and Electricity Markets in South China University of Technology, Guangzhou, China, from 2005 to 2009.  He is a professor in electrical engineering with the Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, taking leave from Zhejiang University. His research interests lie in power industry restructuring, power system alarm processing, fault diagnosis and restoration strategies, as well as smart grids and electric vehicles. Prof. Wen is the Editor-in-Chief of IET Energy Conversion and Economics, and a Deputy Editor-in-Chief of Automation of Electric Power Systems. He also serves as the Editor, Subject Editor, and Associate Editor of a few international journals.

编辑:王彦博

审核:王   伟

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