基于改进麻雀搜索算法的电-热-气-氢综合能源系统优化OA北大核心CSTPCD
Optimization of Electric-heat-gas-hydrogen Integrated Energy System Based on Improved Sparrow Search Algorithm
在"双碳"目标背景下,随着清洁能源并网规模不断扩大,能源系统正面临着各方面的巨大挑战.针对碳排放、新能源消纳等问题,提出一种计及需求响应的电-热-气-氢综合能源系统优化模型,引入碳捕集-多阶段电转气运行框架,发掘电转气技术中氢能源的低碳潜力;利用氢燃料电池、储氢罐,提高系统资源调度灵活性;负荷侧考虑需求响应,源荷双侧协同参与优化.为验证该模型的有效性,设置 4种不同场景,将考虑碳交易的系统总成本最小值作为优化目标,采用含Tent混沌映射与权重因子的改进麻雀搜索算法对模型求解.结果表明,所构建的模型在降低成本、节能减排等方面具有积极作用.
The expansion of clean energy grid-connection,driven by the goals of carbon peaking and carbon neutrality,poses great challenges for the energy system.To address the is-sues of carbon emission and new energy consumption,in the paper we propose an optimization model of an integrated elec-tricity-heat-gas-hydrogen energy system with demand response taken into account.The carbon capture system and a multi-stage power-to-gas operation framework are introduced into the system,exploring the low carbon potential of hydrogen energy resource in the process of power-to-gas.The utilization of hy-drogen fuel cells and hydrogen storage in model enhances the flexibility of resource distribution.Considering demand re-sponse,the collaborative optimization of the source and load can be achieved by incorporating demand response.
李泽霜;唐忠;程卓;刘欣雨
上海电力大学电气工程学院,上海市杨浦区 200090上海电力大学电气工程学院,上海市杨浦区 200090上海电力大学电气工程学院,上海市杨浦区 200090上海电力大学电气工程学院,上海市杨浦区 200090
动力与电气工程
综合能源系统多阶段电转气氢能源需求响应Tent混沌映射麻雀搜索算法
integrated energy systemmultistage power to gashydrogen energy resourcedemand responseTent chaotic mapsparrow search algorithm
《现代电力》 2024 (6)
1090-1099,10
国家自然科学基金资助项目(61672337).Project Supported by National Natural Science Foundation of China(61672337).
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