Microgrid energy management system with degradation cost and carbon trading mechanism: A multi-objective artificial hummingbird algorithm

IF 10.1 1区工程技术 Q1 ENERGY & FUELS

Applied Energy Pub Date : 2024-11-12 DOI:10.1016/j.apenergy.2024.124853

Ling-Ling Li , Bing-Xiang Ji , Zhong-Tao Li , Ming K. Lim , Kanchana Sethanan , Ming-Lang Tseng

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Abstract

Microgrid is an important way to optimize the distributed power generation and its optimal scheduling to ensure reliable and economical operation. This study constructs a multi-objective optimization model for a microgrid energy management system involving degradation cost and carbon trading mechanism. A carbon trading mechanism is to reduce greenhouse gas emissions; meanwhile, a demand response strategy is employed to optimize energy load demand. The energy storage system mathematical model is considered and degradation cost is introduced to change the corresponding control strategy. A hybrid energy storage is used in this model to smooth out the solar power and wind power fluctuations. Hence, a multi-objective artificial hummingbird optimization algorithm is proposed and uses to solve the optimal operation strategy of the microgrid. The final optimal operation strategy is obtained from the Pareto solution set using TOPSIS. The results show that the proposed microgrid system has 20.2 % lower total operating costs, 4.5 % lower carbon emissions, and 32.6 % longer battery life than the conventional microgrid system, which is critical for improving the operation stability, economy, low carbon of the system, and extending the service life of the battery.

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具有降级成本和碳交易机制的微电网能源管理系统：多目标人工蜂鸟算法

微电网是优化分布式发电及其优化调度以确保可靠、经济运行的重要途径。本研究构建了微电网能源管理系统的多目标优化模型，涉及降级成本和碳交易机制。碳交易机制旨在减少温室气体排放；同时，采用需求响应策略优化能源负荷需求。考虑了储能系统数学模型，并引入了退化成本，以改变相应的控制策略。该模型中使用了混合储能，以平滑太阳能和风能的波动。因此，提出了一种多目标人工蜂鸟优化算法，用于求解微电网的最优运行策略。最终的最优运行策略是通过 TOPSIS 从帕累托解集中得到的。结果表明，与传统微电网系统相比，建议的微电网系统总运行成本降低了 20.2%，碳排放量降低了 4.5%，电池寿命延长了 32.6%，这对于提高系统的运行稳定性、经济性、低碳性和延长电池使用寿命至关重要。

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来源期刊

Applied Energy 工程技术-工程：化工

CiteScore

21.20

自引率

10.70%

发文量

1830

审稿时长

41 days

期刊介绍： Applied Energy serves as a platform for sharing innovations, research, development, and demonstrations in energy conversion, conservation, and sustainable energy systems. The journal covers topics such as optimal energy resource use, environmental pollutant mitigation, and energy process analysis. It welcomes original papers, review articles, technical notes, and letters to the editor. Authors are encouraged to submit manuscripts that bridge the gap between research, development, and implementation. The journal addresses a wide spectrum of topics, including fossil and renewable energy technologies, energy economics, and environmental impacts. Applied Energy also explores modeling and forecasting, conservation strategies, and the social and economic implications of energy policies, including climate change mitigation. It is complemented by the open-access journal Advances in Applied Energy.