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Multi-agent consistent cost optimization for hybrid energy system

delete2024-09-01
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PRE
AI
X
Xiaojuan Lu
Y
Y. Zhu *
D
Duojin Fan
Z
Zhiyong Zhang
DOI:10.1016/j.est.2024.113159delete
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摘要

摘要

En 中文
The purpose of this study is to enhance the economic applicability, reliability, and flexibility of energy supply by developing a novel Hybrid Energy System (HES). We establish a hybrid power generation model that integrates wind power generation (PW), photovoltaic power generation (PV), concentrated solar power (CSP), thermal power generation (TP), and wind and solar power curtailment (WSC) energy storage to enable flexible energy utilization and improve overall energy efficiency. To address the challenges of integrated regulation across multiple energy sources, we introduced an event-triggered multi-agent consensus algorithm with a PID controller (PEMCA) and applied it to the HES. PEMCA is employed to regulate the power output of each energy source to maximize the economic benefits of HES operation. The event-triggered mechanism within PEMCA significantly reduces the communication frequency, while the PID controller effectively mitigates the communication interference fluctuations, eliminates errors, and ensure smooth operation of the system. Verification results indicate that, compared to the traditional multi-agent incremental consensus algorithm (MCA), PEMCA substantially decreases the number of communications within the hybrid energy system, resulting in a 93.6 % reduction in communication space utilization. To evaluate the impact of communication interference within the HES, we simulated three different levels of interference. The results demonstrate that PEMCA outperforms the MCA algorithm in terms of stability and anti-interference capability, effectively suppressing error fluctuations and exhibiting greater robustness and reliability. When the HES system is combined with the PEMCA strategy, the total system cost is reduced by 1.4% and 4.2 %, respectively, compared to using the Gurobi mathematical solver and the consideration of secondary energy. These findings validate the effectiveness of the algorithm.
Keyword:
Hybrid energy system
Consistency algorithm
Economic dispatch

期刊

Journal of Energy Storage 封面图
Journal of Energy Storage
IF:
9.8
论文数:
2.3W
被引数:
10.1W

机构

L
Lanzhou Jiaotong University
学者数:
6.3K
论文数: 3.6K
被引数: 4.2K
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