{"title":"Uncertainty Modeling of Source Load and Analysis of Park Energy Use Optimization","authors":"Yuxin Zhao, Tongtong Yan","doi":"10.1109/AIEA53260.2021.00086","DOIUrl":null,"url":null,"abstract":"Aiming at the uncertainty of the system operation caused by the demand response mechanism introduced by Energy Park (EP) on both sides of the source and load, this paper proposes an optimized scheduling method for EH energy consumption based on the improved PSO algorithm. The paper analyzes the operating characteristics of wind power, one of the interactive subjects in the EH, and constructs an uncertain response model of wind power output. According to the energy use evaluation plan of the park, energy storage operation equipment is introduced. The paper establishes a source-load-storage interaction response mechanism, and sets a multiobjective optimization function for energy consumption satisfaction and wind power consumption net income; the paper uses the SAPSO algorithm to solve the EP source and storage Interactive optimization model, the paper verifies the validity and rationality of the model method through simulation examples, and provides reference for EP energy dispatch managers.","PeriodicalId":223292,"journal":{"name":"2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA)","volume":"424 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIEA53260.2021.00086","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Aiming at the uncertainty of the system operation caused by the demand response mechanism introduced by Energy Park (EP) on both sides of the source and load, this paper proposes an optimized scheduling method for EH energy consumption based on the improved PSO algorithm. The paper analyzes the operating characteristics of wind power, one of the interactive subjects in the EH, and constructs an uncertain response model of wind power output. According to the energy use evaluation plan of the park, energy storage operation equipment is introduced. The paper establishes a source-load-storage interaction response mechanism, and sets a multiobjective optimization function for energy consumption satisfaction and wind power consumption net income; the paper uses the SAPSO algorithm to solve the EP source and storage Interactive optimization model, the paper verifies the validity and rationality of the model method through simulation examples, and provides reference for EP energy dispatch managers.
针对能源园(Energy Park, EP)在源负荷两侧引入的需求响应机制给系统运行带来的不确定性,提出了一种基于改进粒子群算法的EH能耗优化调度方法。本文分析了EH中交互主体之一的风电的运行特性,构建了风电输出的不确定响应模型。根据园区能源利用评价方案,介绍了储能运行设备。建立了源-负荷-蓄交互响应机制,建立了能源消费满意度和风电消费净收入的多目标优化函数;本文采用SAPSO算法求解EP源蓄交互优化模型,通过仿真算例验证了模型方法的有效性和合理性,为EP能源调度管理者提供参考。