Optimal Scheduling of Pumped Storage in Power System with Large-scale Photovoltaic Based on Carbon Emissions Trading

Abstract In order to improve the photovoltaic penetration of the power system, an optimal scheduling model of pumped storage system with large-scale photovoltaic based on carbon trading is proposed in this paper. Firstly, based on the analysis of low-carbon economy, the stepped carbon emission tradi...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2021-03, Vol.701 (1), p.12048
Main Authors: Yang, T M, Wang, Y H, Yang, B, Liang, Y, Gao, J, Ji, X
Format: Article
Language:English
Subjects:
Algorithms
Carbon
Cluster analysis
Clustering
Economics
Electric power generation
Emission analysis
Emissions
Emissions control
Emissions trading
Energy storage
Objective function
Peak load
Photovoltaics
Power dispatch
Pumped storage
Scheduling
Vector quantization
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Summary:Abstract In order to improve the photovoltaic penetration of the power system, an optimal scheduling model of pumped storage system with large-scale photovoltaic based on carbon trading is proposed in this paper. Firstly, based on the analysis of low-carbon economy, the stepped carbon emission trading mechanism is introduced into the economic dispatch of power system. And in order to improve the calculating efficiency, an improved K -means clustering algorithm based on maximum and minimum distance criterion is proposed to cluster the photovoltaic power generation scenarios. Then the optimal scheduling model is established. Take the lowest comprehensive operation costs of the system as the objective function, and the operation economy and low carbon of the system are considered. The pumped storage is used as energy storage for peak load shaving in the generation system. At last, an improved IEEE RTS-96 system is taken to finish the case study, and the simulation results show that the model proposed in this paper is reasonable and effective.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/701/1/012048