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Local power consumption method of distributed photovoltaic generation in rural distribution network based on blockchain.

Authors :
Zhang, Tao
Yang, Jianhua
Jin, Kaiyuan
Jing, Tianjun
Source :
IET Generation, Transmission & Distribution (Wiley-Blackwell). Mar2023, Vol. 17 Issue 6, p1409-1418. 10p.
Publication Year :
2023

Abstract

With the increasing penetration of distributed photovoltaic generation (DPVG) in the rural distribution network, some problems such as abandoning solar energy and increasing voltage fluctuation have become more and more prominent. In order to promote local or nearby power consumption of the photovoltaic (PV) generation in the distribution network, the profit strategy is given with an optimal electricity price based on blockchain technology (BCT) by considering the topology, the load fluctuation of the distribution network and the reputation value of agricultural park consumers. The electricity price in the blockchain (BC) transaction is used as an intermediate variable to establish the revenue model for the PV generation, the agricultural park consumers and the distribution network. The power trading mechanism of the PV generation is constructed in the decentralized management agency of the BC. The maximum overall comprehensive income of the PV generation and the park consumers is used as the objective function, and the Stackelberg game theory is applied to prove the existence of the optimal game strategy in the transaction. The local power consumption method of the PV generation is simulated with the optimal electricity price in the IEEE 33‐node distribution network. The problem of abandoning solar energy is effectively relieved within an appropriate voltage limitation, and the comprehensive benefit of the PV generation and the park consumers is raised in the distribution network. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17518687
Volume :
17
Issue :
6
Database :
Academic Search Index
Journal :
IET Generation, Transmission & Distribution (Wiley-Blackwell)
Publication Type :
Academic Journal
Accession number :
162673911
Full Text :
https://doi.org/10.1049/gtd2.12748