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考虑不同控制策略下的多能互补能源互联网优化调度 被引量:31

Optimal scheduling of multi-energy complementary energy internet considering different control strategies
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摘要 为提升多能互补能源互联网的高效经济运行,考虑多能流设备之间的协同运行、约束条件及分时电价因素,以经济、环保综合效益为多目标函数,提出3种不同运行优化控制策略下的优化调度模型。文中对含风光发电单元、冷热电联供单元、储冷/热单元和储电单元的数学模型进行研究,并利用自适应小生境遗传算法通过优化获得模型参数,再根据二级对比原则,基于模型对三种不同运行方式下的综合效益进行对比。最后将该系统调度优化模型应用于某产业园区夏季典型日中。仿真结果表明,在并网售电状态下,园区的综合效益达到最优。 This paper takes the multi-energy complementary energy internet economic operation as the research purpose,considers the cooperative operation,constraints and time-of-use electricity price factors among multi-energy flow equipment,and takes the economic and environmental comprehensive benefits as the multi-objective function,and proposes three different operational optimization control strategies.In this paper,the mathematical model including wind and solar power generation unit,combined cooling,heating and power unit,cooling/heating unit and electricity storage unit is studied.The model parameters are obtained by optimization using the adaptive niche genetic algorithm.According to the second-level comparison principle,the comprehensive benefits under three different operation modes are compared based on the model.Finally,the system scheduling optimization model is applied to a typical summer day in an industrial park.The simulation results show that the comprehensive benefits of the park are optimal in the state of grid-connected electricity sales.
作者 彭道刚 张孟然 沈丛奇 姚峻 张宇 PENG Daogang;ZHANG Mengran;SHEN Congqi;YAO Jun;ZHANG Yu(School of Automation Engineering,Shanghai University of Electric Power,Shanghai 200090, China;Shanghai Minghua Electric Power Technology Engineering Co., Ltd., Shanghai 200090,China)
出处 《电力科学与技术学报》 CAS 北大核心 2022年第1期17-28,共12页 Journal of Electric Power Science And Technology
基金 国家自然科学基金(71871160) 上海市“科技创新行动计划”社会发展领域项目(16DZ1202500) 上海市科学技术委员会工程技术研究中心项目(14DZ2251100)。
关键词 多能互补能源互联网 分时电价 多能流 协同运行 优化调度 multi-energy coupling distributed energy internet time-of-use power price multi-energy flow coordinated operation optimal scheduling
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