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风-光-柴-储微电网能量管理的日前优化调度策略分析

ANALYSIS OF CURRENT OPTIMIZATION SCHEDULING STRATEGY FOR ENERGY MANAGEMENT IN WIND-PV-DIESEL-BATTERY STORAGE MICROGRID
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摘要 针对风-光-柴-储微电网能量管理日前优化调度问题展开研究。首先,介绍了风-光-柴-储微电网结构,并建立各发电部分的输出功率和成本模型;其次,以总运行成本最低为目标函数制定微电网能量管理日前优化调度策略,并建立相应模型;最后,以某算例进行能量管理日前优化调度策略效果验证。验证结果显示:通过采用所提出的能量管理日前优化调度策略,可以满足用户的日常负荷要求,同时所配置的储能系统可以最大限度的存储可再生能源系统多余的发电量,最大程度地避免了弃电,并减少了柴油发电系统的使用率,降低了对环境的伤害,可满足微电网的能量管理目标;验证了策略的经济性与可靠性。 This paper focuses on the optimization and scheduling of energy management in wind-PV-dieselbattery storage microgrid.Firstly,the structure of the wind-PV-diesel-battery storage microgrid is introduced,and the output power and cost models of each power generation part are established.Secondly,with the objective function of minimizing the total operating cost,a microgrid energy management day ahead optimization scheduling strategy is formulated,and a corresponding model is established.Finally,a certain example is used to verify the effectiveness of the energy management day ahead optimization scheduling strategy.The verification results show that by adopting the proposed energy management day ahead optimization scheduling strategy,the daily load requirements of users can be met.At the same time,the configured energy storage system can store the excess power generation of renewable energy systems to the maximum extent,greatly avoiding power abandonment,and reduce the utilization rate of diesel power generation systems,thereby reducing environmental damage and meeting the energy management goals of microgrids.Verified the economic and reliability of the strategy.
作者 万炜兴 周龙 谢丽蓉 包洪印 张琦 Wan Weixing;Zhou Long;Xie Lirong;Bao Hongyin;Zhang Qi(Engineering Research Center for Renewable Energy Power Generation and Grid Technology(Xinjiang University),Urumqi 830047,China;CSSC Haiwei(Xinjiang)New Energy Co.,Ltd.,Urumqi 830000,China)
出处 《太阳能》 2024年第10期70-76,共7页 Solar Energy
基金 新疆重大科技专项(2022A1001-1,2022A01007-4) 新疆风-光-柴-储微电网工程技术研究中心(2022062420)。
关键词 风-光-柴-储 微电网 能量管理 日前优化调度 总运行成本 策略分析 wind-PV-diesel-battery storage microgrid energy management recently optimized scheduling total operating costs strategic analysis
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