Enhancing microgrid profitability: ISSA-based optimization of thermal and renewable energy management with CHP considerations

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Authors: Yan Jiang
Cited by: 1
References: 65

Abstract

This study develops a green-finance–oriented optimization framework for microgrid operation by integrating thermal units, renewable energy, and CHP systems using the Integrated Swarming Strategy Algorithm (ISSA). Four planning scenarios—probabilistic and randomized, with and without CHP—are evaluated under variable market prices and environmental constraints. ISSA achieved a 95.28 % success rate in reducing operational costs and consistently generated higher profits when aligned with carbon pricing and renewable subsidy mechanisms. The results show that combining ISSA optimization with green finance incentives significantly enhances microgrid profitability and sustainability. Future work will focus on climate-adaptive heating loads and carbon–neutral planning.

Fields of Study & Subjects

Integrated Energy Systems Optimization Microgrid Control and Optimization Electric Power System Optimization

Publication details

Journal / source
International Journal of Electrical Power & Energy Systems
Publisher
Elsevier BV
Volume
174
Pages
111423–111423
Publication date
1 January 2026
Language
EN