Balancing stakeholder benefits: A many-objective optimal dispatch framework for home energy systems inspired by Maslow's Hierarchy of needs

IF 13 Q1 ENERGY & FUELS
Jinqing Peng , Zhengyi Luo , Yutong Tan , Haihao Jiang , Rongxin Yin , Jinyue Yan
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Abstract

The optimal scheduling of home energy systems is influenced by the benefits of different stakeholders, with the hierarchical nature of user's needs being particularly significant. However, previous studies have largely neglected these factors. To bridge the research gaps, a many-objective optimal dispatch framework for home energy systems, which was inspired by Maslow's hierarchy of needs, was proposed. In the framework, user's needs for the optimal dispatch of home energy systems were categorized into various hierarchies referring to the Maslow's theory, which were fulfilled in a specific sequence during the scheduling optimization. In addition to the user's needs, the benefits of grid operators and policymakers were considered in the developed many-objective nonlinear optimal model, which includes six objective functions that capture the interests of end-users, grid operators, and policymakers. Simulation results obtained across the home energy systems with various configurations verified the effectiveness of the proposed framework. Results indicate that user's needs can be fully satisfied and a tradeoff among the benefits of end-users, grid operators, and policymakers was achieved. For various home energy systems, the optimal scheduling demonstrated reductions of 22.33 %-81.05 % in daily operation costs, 14.39 %-25.68 % in CO2 emissions, and 15.58 %-17.49 % in peak-valley differences, associated with increment of 5.37 %-15.51 % in self-consumption rate and 8.91 %-27.29 % in self-sufficiency rate, compared with the benchmark. The proposed framework provides valuable guidance for the optimal scheduling of various home energy systems in practical applications.

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平衡利益相关者的利益:受马斯洛需求层次理论启发的家庭能源系统多目标优化调度框架
家庭能源系统的优化调度受到不同利益相关者利益的影响,其中用户需求的层次性尤为重要。然而,以往的研究在很大程度上忽视了这些因素。为了弥补研究空白,受马斯洛需求层次理论的启发,提出了一个多目标家庭能源系统优化调度框架。在该框架中,参照马斯洛理论,用户对家庭能源系统优化调度的需求被分为不同层次,并在调度优化过程中按特定顺序得到满足。除用户需求外,开发的多目标非线性优化模型还考虑了电网运营商和政策制定者的利益,该模型包括六个目标函数,分别反映了最终用户、电网运营商和政策制定者的利益。在不同配置的家庭能源系统中获得的模拟结果验证了所提框架的有效性。结果表明,用户的需求可以得到充分满足,并实现了终端用户、电网运营商和政策制定者之间的利益权衡。对于不同的家庭能源系统,与基准相比,优化调度可减少 22.33 %-81.05 % 的日常运营成本、14.39 %-25.68 % 的二氧化碳排放量和 15.58 %-17.49 % 的峰谷差,同时可提高 5.37 %-15.51 % 的自用率和 8.91 %-27.29 % 的自给率。所提出的框架为实际应用中各种家庭能源系统的优化调度提供了宝贵的指导。
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来源期刊
Advances in Applied Energy
Advances in Applied Energy Energy-General Energy
CiteScore
23.90
自引率
0.00%
发文量
36
审稿时长
21 days
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