Multi-Objective Optimization for Combined Heat and Power Microgrid Based on Incentive-Based Demand Response
Collaborative Optimization of Microgrid and Source Grid Load Storage|更新时间:2025-10-11
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Multi-Objective Optimization for Combined Heat and Power Microgrid Based on Incentive-Based Demand Response
“In the field of microgrids, experts have proposed an improved multi-objective scheduling model, which is solved through the grey wolf optimization algorithm to achieve multiple win-win outcomes for the system, environment, and user interests, providing theoretical support for green power management systems.”
Southern Power System TechnologyVol. 19, Issue 4, Pages: 51-62(2025)
作者机构:
1.南京信息工程大学自动化学院, 南京 210044
2.江苏省大气环境与装备技术协同创新中心(南京信息工程大学), 南京 210044
作者简介:
基金信息:
the National Natural Science Foundation of China(62388101;61573190)
LU Yashu,YIN Liping,XU Guoyu,et al.Multi-Objective Optimization for Combined Heat and Power Microgrid Based on Incentive-Based Demand Response[J].Southern Power System Technology,2025,19(04):51-62.
LU Yashu,YIN Liping,XU Guoyu,et al.Multi-Objective Optimization for Combined Heat and Power Microgrid Based on Incentive-Based Demand Response[J].Southern Power System Technology,2025,19(04):51-62. DOI: 10.13648/j.cnki.issn1674-0629.2025.04.005.
Multi-Objective Optimization for Combined Heat and Power Microgrid Based on Incentive-Based Demand Response