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Dynamic Aggregation and Analysis Method of Demand Response Resources of VPP Based on Market Mechanism

Published: 17 May 2021 Publication History

Abstract

With the development of the renewable energy, aggregating the distributed energy to form a VPP is an effective way to deal with the fluctuation of the renewable energy. Based on the analysis of the load flexibility in VPP, this paper proposes a rolling optimization model for distributed grid and VPPs. The day-ahead dispatching process is to minimize the operation cost of the grid, and the real-time dispatch focus on reducing the fluctuation of the loads and the renewable energy. In this way, the flexibility of the loads is fully used and the operation cost of the grid is greatly reduced. At last, a three-bus case study is implemented and the advantages of this dispatching method is proved

References

[1]
Kong X Y, Xiao J, Wang C S, et al. "Bi-level multi-time scale scheduling method based on bidding for multi-operator virtual power plant, " Applied Energy, 2019, vol. 249, 178--189.
[2]
Ju, Liwei, et al. "A bi-level stochastic scheduling optimization model for a virtual power plant connected to a wind--photovoltaic--energy storage system considering the uncertainty and demand response." Applied Energy. vol. 171, 184--199.
[3]
Wei, Congying, et al. "A bi-level scheduling model for virtual power plants with aggregated thermostatically controlled loads and renewable energy."Applied Energy. vol. 224, 659--670.
[4]
Chixin Xiao, Danny Sutanto, Kashem M. Muttaqi, Minjie Zhang. "Multi-period data driven control strategy for real-time management of energy storages in virtual power plants integrated with power grid". International Journal of Electrical Power and Energy Systems. Vol. 118.
[5]
Dallanese, Emiliano, et al. "Optimal Regulation of Virtual Power Plants."IEEE Transactions on Power Systems. vol.33, 1--1.
[6]
Liu, Yangyang, et al. "Optimal dispatch of virtual power plant using interval and deterministic combined optimization." International Journal of Electrical Power & Energy Systems. Vol.102, 235--244.
[7]
Zhang, et al. "Comprehensive review on structure and operation of virtual power plant in electrical system." IET Generation, Transmission Distribution. Vol. 13, 145--156.
[8]
Thavlov, A, and H. W. Bindner. "Utilization of Flexible Demand in a Virtual Power Plant Set-Up." Smart Grid, IEEE Transactions on Smart Grid. Vol. 6, 640--647.
[9]
Hantao Cui, Fangxing Li, Qinran Hu, et al. "Day-ahead coordinated operation of utility-scale electricity and natural gas networks considering demand response based virtual power plants". Applied Energy. vol. 176, 183--195.
[10]
Xiangyu Kong, Chuang Li, et al. "Online pricing of demand response based on long short-term memory and reinforcement learning." Applied Energy, 2020, vol. 271, 114945.
[11]
KONG Xiangyu, MA Yuying, LI Ye, et al. "Remote Estimation Method for Measurement Error of Smart Meter Based on Limited Memory Recursive Least Squares Algorithm". Proceedings of the CSEE, 2020, 40(7): 2142--2151.

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  1. Dynamic Aggregation and Analysis Method of Demand Response Resources of VPP Based on Market Mechanism
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            ICITEE '20: Proceedings of the 3rd International Conference on Information Technologies and Electrical Engineering
            December 2020
            687 pages
            ISBN:9781450388665
            DOI:10.1145/3452940
            Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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            Publication History

            Published: 17 May 2021

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            • Science and Technology Project of State Grid Tianjin Electric Power Company: Research and application of key technologies for resource aggregation and flexible interaction of virtual power plants

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            ICITEE2020

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