Hybrid scheduling strategy and improved marine predator optimizer for energy scheduling in integrated energy system to enhance economic and environmental protection capability

Liu Yuwei, Lingling Li and Liu Jiaqi

Renewable Energy, 2024, vol. 228, issue C

Abstract: This study endeavors to comprehensively enhance energy efficiency and investigate the potential of integrated energy system in energy conservation and emission mitigation by proposing innovative solutions. Consequently, an optimal scheduling model has been developed. The analytic hierarchy process is employed to ascertain the weights of indicators within the model. Strategies for enhanced following heating load and enhanced following power load have been introduced, considering the energy transfer capability of the energy storage system. Furthermore, a hybrid strategy enabling flexible interchange between these two strategies has been proposed. Subsequently, an improved marine predator optimizer is proposed to solve the model, which significantly boosts solution efficiency and the capability to overcome local optima. Results indicate an overall enhancement in system performance under the proposed strategies compared to traditional approaches. The hybrid strategy particularly stands out, demonstrating superior performance with energy efficiency achieving up to 75.67 % and the comprehensive performance improvement of 5.01 % and 7.68 % compared to traditional following power load strategy and following heating load strategy. This study contributes to reducing system operating costs, energy consumption, and carbon emissions, signifying its substantial role in advancing renewable energy integration, promoting green economies, and fostering sustainable development.

Keywords: Energy efficiency; Green economies; Hybrid scheduling strategy; Improved marine predator optimizer; Integrated energy system (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:228:y:2024:i:c:s0960148124007092

DOI: 10.1016/j.renene.2024.120641

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