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考虑氢储能的多目标综合能源优化配置方案研究OA北大核心CSTPCD

Research on Multi-objective Comprehensive Energy Optimization Configuration Scheme Considering Hydrogen Storage

中文摘要英文摘要

针对可再生能源大规模并网带来的能源消纳需求,电制氢技术因其可将电能清洁高效地转换为氢能储存的特性,提供了一种有效的能源消纳方案.文中旨在研究考虑氢储能的多目标综合能源优化配置方案,首先提出包含可再生能源发电、电制氢、储能等环节的能源框架,进一步构建以投资成本低、可再生能源机组的弃风弃光量小和碳排放量低为目标的多目标调度模型,最后通过小生境粒子群算法在多个目标之间寻找最优解集.仿真结果表明,本方法可以得到系统投资成本低、可再生能源利用率高和碳排放量低的配置方案,以推动能源结构绿色转型.

In view of the energy consumption demand brought about by the large-scale grid connection of renewable energy,Hydrogen production technology provides an effective energy consumption solution due to its ability to con-vert electrical energy into Hydrogen energy storage in a clean and efficient manner.This paper aims to study the multi-objective energy configuration scheme for the consumption of renewable energy by electric Hydrogen production.Firstly,an energy framework including renewable energy generation,electric Hydrogen production and energy stor-age is proposed.Furthermore,a multi-objective scheduling model with the goals of low investment cost,small wind and light waste from renewable energy units and low Carbon emissions is constructed.Finally,the optimal solution set is searched among multiple objectives by using the niche particle swarm algorithm.The simulation results show that this method can obtain configuration schemes with low system investment cost,high renewable energy utilization rate and low Carbon emissions in order to promote the green transformation of energy structure.

孙靓雨;林泽源;李伟

山东电力工程咨询院有限公司,济南 250013

多目标优化调度小生境粒子群算法电解制氢可再生能源发电

multi-objective optimal schedulingniche particle swarm optimizationelectrolytic Hydrogen productionrenewable energy generation

《高压电器》 2024 (007)

88-96 / 9

10.13296/j.1001-1609.hva.2024.07.009

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