离网型风光氢储微电网容量优化配置OA
Capacity Optimization Configuration of off Grid Wind Solar Hydrogen Storage Microgrid
为同时满足降低含风光氢储微电网的综合成本、提升新能源的消纳率和源荷利用率的多目标要求,基于风光氢储微电网的出力模型,以经济型、新能源消纳率、源荷利用率为优化目标,建立了含风光氢储微电网的多目标优化模型,提出了一种多策略改进的蜜獾优化算法(HBA:Honey Badger Algorithm).基于西北某地微电网实际数据,在离网运行状态下,对所提模型进行实例验证.结果表明,改进的蜜獾算法在求解模型时,拥有更强的收敛性和更快的收敛速度.同时,多目标模型能求出36种不同解,相对单目标只能求出一种解而言,在实际应用中可以提供更多选择性.
To simultaneously meet the multi-objective requirements of reducing the comprehensive cost of a microgrid integrating wind,solar,hydrogen,and storage,improving the renewable energy consumption rate,and enhancing the utilization rate of sources and loads,a multi-objective optimization model is established for microgrid based on its output model,with economy,renewable energy consumption rate,and source-load utilization rate as optimization objectives.A multi-strategy improved HBA(Honey Badger Algorithm)is proposed.Finally,Using real off-grid data from Northwest China tests are conducted,and results show the improved HBA converges are faster and more stable.Unlike single-objective approaches yielding one solution,this model provides 36 Pareto-optimal options for flexible decision-making.
任爽;何明晨;吕鑫康;郭钰婷
东北石油大学电气信息工程学院,黑龙江大庆 163318东北石油大学电气信息工程学院,黑龙江大庆 163318东北石油大学电气信息工程学院,黑龙江大庆 163318东北石油大学电气信息工程学院,黑龙江大庆 163318
信息技术与安全科学
风光氢储微电网容量配置pareto机制蜜獾优化算法黄金正弦策略
wind solar hydrogen storage microgridcapacity configurationpareto mechanismhoney badger optimization algorithmgolden sine strategy
《吉林大学学报（信息科学版）》 2026 (1)
43-51,9
东北石油大学科研基金资助项目(2019YDL-10)
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