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Optimal Planning of Community Integrated Energy Station Considering Frequency Regulation Service
Tianjin Univ, Minist Educ Smart Power Grids, Key Lab, Tianjin, Peoples R China..
Tianjin Univ, Minist Educ Smart Power Grids, Key Lab, Tianjin, Peoples R China..
Tianjin Univ, Minist Educ Smart Power Grids, Key Lab, Tianjin, Peoples R China..
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-6279-4446
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2021 (English)In: Journal of Modern Power Systems and Clean Energy, ISSN 2196-5625, E-ISSN 2196-5420, Vol. 9, no 2, p. 264-273Article in journal (Refereed) Published
Abstract [en]

With the extensive integration of high-penetration renewable energy resources, more fast-response frequency regulation (FR) providers are required to eliminate the impact of uncertainties from loads and distributed generators (DGs) on system security and stability. As a high-quality FR resource, community integrated energy station (CIES) can effectively respond to frequency deviation caused by renewable energy generation, helping to solve the frequency problem of power system. This paper proposes an optimal planning model of CIES considering FR service. First, the model of FR service is established to unify the time scale of FR service and economic operation. Then, an optimal planning model of CIES considering FR service is proposed, with which the revenue of participating in the FR service is obtained under market mechanism. The flexible electricity pricing model is introduced to flatten the peak tie-line power of CIES. Case studies are conducted to analyze the annual cost and the revenue of CIES participating in FR service, which suggest that providing ancillary services can bring potential revenue.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2021. Vol. 9, no 2, p. 264-273
Keywords [en]
Planning, Regulation, Energy storage, Capacity planning, Generators, Resistance heating, Pricing, Community integrated energy station (CIES), frequency regulation (FR), flexible pricing model, optimal configuration
National Category
Energy Systems Computer Systems Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-53924DOI: 10.35833/MPCE.2019.000056ISI: 000633219800004Scopus ID: 2-s2.0-85103344255OAI: oai:DiVA.org:mdh-53924DiVA, id: diva2:1546614
Available from: 2021-04-22 Created: 2021-04-22 Last updated: 2021-06-21Bibliographically approved

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Li, Hailong

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