A Multi-Objective Distributed Optimization Operation Method for Integrated Energy System Based on Fractional PID Algorithm

With the rapid development of integrated energy systems (IESs), the system structure is becoming increasingly complex, which brings challenges to the reliable operation of IESs. In this paper, a multi-objective distributed optimization operation framework for IES based on fractional proportional-int...

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Veröffentlicht in:2025 IEEE 8th International Electrical and Energy Conference (CIEEC) S. 2812 - 2817
Hauptverfasser: Zhang, Yuhan, Li, Ke, Chen, Jianfei, Zhao, Daduan
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 16.05.2025
Schlagworte:
Carbon
Convergence
Delays
Distributed algorithms
Distributed optimization
Fractional calculus
Heuristic algorithms
Multi-objective optimization
Multi-park integrated energy systems
Optimization
Optimization models
Renewable energy sources
Robustness
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Zusammenfassung:With the rapid development of integrated energy systems (IESs), the system structure is becoming increasingly complex, which brings challenges to the reliable operation of IESs. In this paper, a multi-objective distributed optimization operation framework for IES based on fractional proportional-integral-derivative (PID) algorithm is proposed. The constructed multi-objective optimization model takes into account the economy, low carbon and high efficiency of energy utilization of the IES. Fractional PID distributed algorithm, which can adjust the parameters according to the characteristics of different parks to improve the operation efficiency of the algorithm. Finally, the accuracy, effectiveness and robustness of the algorithm are verified through the analysis of cut-load and plug-and-play arithmetic cases.
DOI:10.1109/CIEEC64805.2025.11116675