基于CiteSpace的能源系统优化调度研究热点与趋势分析Research hotspots and trends analysis of energy systems optimal scheduling based on CiteSpace
林俊光,冯彦皓,林小杰,吴凡,钟崴,俞自涛,叶建君
摘要(Abstract):
能源系统优化调度对保证能源供需平衡有重要作用。对30余年国内外该领域发展状况、热点及趋势的量化对比,通过CiteSpace软件对1990—2022年中国知网(CNKI)和Web of Science(WoS)数据库的能源系统优化调度研究进行分析。结果表明:该领域虽处于常规科学阶段但文献具有高增速,国内文献增速较国际快且机构间交流密切;国外热点为微电网的优化算法、不确定性和稳定性控制,综合能源系统的含储能动态调度,调度技术的强化学习和博弈论;国内热点趋势为微电网的算法-动态优化/双层优化/分时电价-多智能体-需求侧管理-深度学习及综合能源系统的不确定性-能源集线器-电转气-综合需求响应-数据驱动-碳交易、碳捕集和强化学习等。由分析结果可见,启发式算法和深度学习等在未来大规模能源系统下有望实现研究范式转变。
关键词(KeyWords): 能源系统;优化调度;CiteSpace软件;文献计量学;研究趋势
基金项目(Foundation): 浙江浙能技术研究院有限公司科技项目(ZNKJ-2019-087);; 国家重点研发计划项目(2019YFE0126000)~~
作者(Author): 林俊光,冯彦皓,林小杰,吴凡,钟崴,俞自涛,叶建君
DOI: 10.19666/j.rlfd.202212265
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