Day-Ahead Optimal Scheduling of an Integrated Energy System Based on a Piecewise Self-Adaptive Particle Swarm Optimization Algorithm

Day-Ahead Optimal Scheduling of an Integrated Energy System Based on a Piecewise Self-Adaptive Particle Swarm Optimization Algorithm

The interdependency of electric and natural gas systems is becoming stronger. The challenge of how to meet various energy demands in an integrated energy system (IES) with minimal cost has drawn considerable attention. The optimal scheduling of IESs is an ideal method to solve this problem. In this...

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Bibliographic Details
Main Authors: Jiming Chen, Ke Ning, Xingzhi Xin, Fuhao Shi, Qing Zhang, Chaolin Li
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Energies
Subjects:
integrated energy system
optimal scheduling
piecewise self-adaptive
chaotic mapping
fuel cell
Online Access:https://www.mdpi.com/1996-1073/15/3/690

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https://www.mdpi.com/1996-1073/15/3/690

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