{"title":"Control and Optimization of Power Dispatching System Based on New Energy Mode","authors":"Jiashuo Zheng, Yuwen Li, Dong Guo, Tiejun Yan, Jialin Wang, Eerdun Li","doi":"10.1109/ICSMD57530.2022.10058324","DOIUrl":null,"url":null,"abstract":"At present, new energy sources such as wind or solar energy are connected to the power grid on a large scale. Due to the characteristics of regionalism, intermittency, volatility, and low controllability, it is not conducive to the safe and stable operation of the power system [1]. New energy can also not be completely absorbed. Based on the output characteristics of new energy and the operation mode of power grid dispatching, this paper analyzes the influence of new energy generation on the power grid dispatching system. To achieve the lowest generation cost, the highest operating efficiency, the best new energy consumption, and the best control mode. This paper summarizes and puts forward four optimal dispatching theoretical models for the above objectives. These models generally meet the demand for new energy power generation structures. They can realize the interaction of multiple sources of the power grid and improve the dispatch ability of the power grid. In the load forecasting model, it proposed a 96 times node forecasting way based on the analysis of historical data. This method can comprehensively improve the proportion of grid-connected power generation of new energy from both sides. In other models, this paper proposed several strategies for optimizing power grid dispatching modes in the new energy system. The related forecasting model, dispatching model, and improving new energy consumption model in this paper will have a certain reference value for the joint dispatching management of multiple generation modes.","PeriodicalId":396735,"journal":{"name":"2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSMD57530.2022.10058324","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
At present, new energy sources such as wind or solar energy are connected to the power grid on a large scale. Due to the characteristics of regionalism, intermittency, volatility, and low controllability, it is not conducive to the safe and stable operation of the power system [1]. New energy can also not be completely absorbed. Based on the output characteristics of new energy and the operation mode of power grid dispatching, this paper analyzes the influence of new energy generation on the power grid dispatching system. To achieve the lowest generation cost, the highest operating efficiency, the best new energy consumption, and the best control mode. This paper summarizes and puts forward four optimal dispatching theoretical models for the above objectives. These models generally meet the demand for new energy power generation structures. They can realize the interaction of multiple sources of the power grid and improve the dispatch ability of the power grid. In the load forecasting model, it proposed a 96 times node forecasting way based on the analysis of historical data. This method can comprehensively improve the proportion of grid-connected power generation of new energy from both sides. In other models, this paper proposed several strategies for optimizing power grid dispatching modes in the new energy system. The related forecasting model, dispatching model, and improving new energy consumption model in this paper will have a certain reference value for the joint dispatching management of multiple generation modes.