摘要
为实现海岛地区能源需求的可再生和自我可持续性发展,结合海岛的丰富可再生资源特征,设计一种海岛微能网优化调度模型。聚合出力设备、生物质废能转化装置、海水淡化装置以及储能为微能网,考虑风、光不确定性,设计以运行成本、环境成本、风险值最小为目标的随机调度优化模型,并运用混合差分进化算法进行求解。算例分析表明,该模型实现了电-热-气-氢多能协同优化,提高了海岛风、光和生物质等可再生资源的利用率,促进可再生能源的可持续发展和能源结构的清洁低碳转型。
To achieve the renewable and self-sustainable energy requirements of island areas,a microgrid optimization scheduling model is designed in light of the rich renewable resources available on islands.The model aggregates output equipment,biomass waste conversion units,seawater desalination facilities and energy storage as part of the microgrid.Considering the uncertainties of wind and solar power,a stochastic scheduling optimization model is designed with the objectives of minimizing operational costs,environmental costs and risk values.This model is solved using a hybrid differential evolution algorithm.Case study analysis demonstrates that the model achieves multi-energy optimization for electricity,heating,gas and hydrogen,enhances the utilization rate of renewable resources such as wind,solar and biomass on islands,promotes the sustainable development of renewable energy and the clean and low-carbon transformation of energy structure.
作者
张哲宇
刘力
吴潇雨
鞠立伟
瞿斌
刘谊
ZHANG Zheyu;LIU Li;WU Xiaoyu;JU Liwei;QU Bin;LIU Yi(School of Economics and Management,North China Electric Power University,Beijing 102206,China;School of Management and Economics,Beijing Institute of Technology,Beijing 100081,China;State Grid Energy Research Institute Co.,Ltd.,Beijing 102209,China)
出处
《智慧电力》
北大核心
2024年第8期64-72,共9页
Smart Power
基金
国家自然科学基金面上资助项目(72274060,52307088)。
关键词
微能网
生物质能
海水淡化
电制氢
鲁棒优化
需求响应
micro-energy grid
biomass
desalination
power-to-hydrogen
robust optimization
demand response
