Title: Coordinated scheduling of photovoltaic greenhouse energy based on PBFT consensus mechanism

Authors: Hui Yan; Dejin Chu; Yunxin Long; Ping Yu; Duo Long

Addresses: School of Information Engineering, Suqian University, Suqian, 223800, China ' Jilin Province S&T Innovation Center for Physical Simulation and Security of Water Resources and Electric Power Engineering, Changchun Institute of Technology, Changchun, 130012, China ' College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, 130117, China ' Jilin Province S&T Innovation Center for Physical Simulation and Security of Water Resources and Electric Power Engineering, Changchun Institute of Technology, Changchun, 130012, China ' School of Economics and Management, Suqian University, Suqian, 223800, China

Abstract: Aiming at the imbalance of energy supply and demand structure and the maximisation of resource allocation in photovoltaic greenhouses, this paper proposes a collaborative control method of photovoltaic greenhouse energy based on PBFT consensus mechanism. This paper establishes a distributed energy system model and introduces a distributed economic dispatch model to achieve maximum energy utilisation and economy. And by combining PBFT negotiation mechanism, design a distributed algorithm to ensure the consistency and stability of scheduling results. Based on the results of simulation experiments, it can be concluded that the proposed model in this paper can ensure that the electrical energy reaches a supply-demand balance and effectively optimise the proportion of photovoltaic energy production. The photovoltaic energy utilisation rate reached 98.6% within one day. As the number of nodes increases, the average consensus delay can be reduced by 2.3%.

Keywords: photovoltaic greenhouse; distributed energy scheduling; PBFT consensus mechanism; energy storage; cost-effectiveness.

DOI: 10.1504/IJEP.2024.142542

International Journal of Environment and Pollution, 2024 Vol.74 No.1/2/3/4, pp.16 - 34

Received: 27 Sep 2023
Accepted: 21 Feb 2024
Published online: 08 Nov 2024 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article