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  • Open Access

    ARTICLE

    Optimization and Scheduling of Green Power System Consumption Based on Multi-Device Coordination and Multi-Objective Optimization

    Liang Tang1, Hongwei Wang1, Xinyuan Zhu1, Jiying Liu2,*, Kaiyue Li2,*

    Energy Engineering, Vol.122, No.6, pp. 2257-2289, 2025, DOI:10.32604/ee.2025.063918 - 29 May 2025

    Abstract The intermittency and volatility of wind and photovoltaic power generation exacerbate issues such as wind and solar curtailment, hindering the efficient utilization of renewable energy and the low-carbon development of energy systems. To enhance the consumption capacity of green power, the green power system consumption optimization scheduling model (GPS-COSM) is proposed, which comprehensively integrates green power system, electric boiler, combined heat and power unit, thermal energy storage, and electrical energy storage. The optimization objectives are to minimize operating cost, minimize carbon emission, and maximize the consumption of wind and solar curtailment. The multi-objective particle swarm… More >

  • Open Access

    ARTICLE

    SMO Algorithm to Unravel CEED Problem using Wind and Solar

    A. Prabha1,*, G. Themozhi2, Rama Reddy Sathi3

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1857-1872, 2023, DOI:10.32604/iasc.2023.027442 - 19 July 2022

    Abstract This research proposes a more advanced way to address Combined Economic Emission Dispatch (CEED) concerns. Economic Load Dispatch (ELD) and Economic Emission Dispatch (EED) have been implemented to reduce generating unit fuel costs and emissions. When both economics and emission targets are taken into account, the dispatch of an aggregate cost-effective emission challenge emerges. This research affords a mathematical modeling-based analytical technique for solving economic, emission, and collaborative economic and emission dispatch problems with only one goal. This study takes into account both the fuel cost target and the environmental impact of emissions. This bi-intention… More >

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