Multi-Time-Scale Low-Carbon Economic Dispatch Method for Virtual Power Plants Considering Pumped Storage Coordination

Junwei Zhang, Dongyuan Liu, Ling Lyu (), Liang Zhang, Huachen Du, Hanzhang Luan and Lidong Zheng
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Junwei Zhang: SPIC Green Energy Science & Technology Development Co., Ltd., Beijing 100095, China
Dongyuan Liu: State Grid Jibei Electric Power Co., Ltd. Chengde Power Supply Company, Chengde 067000, China
Ling Lyu: School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Liang Zhang: School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Huachen Du: School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Hanzhang Luan: School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Lidong Zheng: School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China

Energies, 2024, vol. 17, issue 10, 1-22

Abstract: Low carbon operation of power systems is a key way to achieve the goal of energy power carbon peaking and carbon neutrality. In order to promote the low carbon transition of energy and power and the coordinated and optimized operation of distributed energy sources in virtual power plants (VPP), this paper proposes a framework for collaborative utilization of pumped storage–carbon capture–power-to-gas (P2G) technologies. It also constructs a multi-time scale low carbon economic dispatch model for VPP to minimize the internal resource operation cost of VPP in each time period. During the intraday scheduling stage, the day-ahead scheduling results as the planned output and the energy flow is then dynamically corrected at a short-term resolution in the framework. This allows for the exploration of the low-carbon potential of each aggregation unit within the virtual power plant. The results of the simulation indicate that the strategy and model proposed in this paper can effectively encourage the consumption of renewable energy sources, promote the low-carbon operation of power system power, and serve as a valuable reference for the low-carbon economic operation of the power system.

Keywords: virtual power plant; pumped storage; carbon capture; multi-timescale optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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