{"title":"Fault Diagnosis Method Based on An Improved KNN Algorithm for PV strings","authors":"Lina Wang, Hongcheng Qiu, Pu Yang, Jihong Gao","doi":"10.1109/ACEEE51855.2021.9575060","DOIUrl":"https://doi.org/10.1109/ACEEE51855.2021.9575060","url":null,"abstract":"Rapid and accurate fault diagnosis under limited data has become one of the most important abilities of photovoltaic (PV) power generation systems. This study proposes an improved K-Nearest-Neighbor(KNN) method, which is based on the current at the maximum power point, voltage at the maximum power point and weather data. By using this method, short circuit, open circuit and shading of a PV string can be diagnosed quickly based on data obtained by inverters and weather monitor. Finally, a large number of data was obtained through a credible model whose data is proved to be consistent with the measured data greatly. Diagnosis result of the method was evaluated through these data.","PeriodicalId":250053,"journal":{"name":"2021 4th Asia Conference on Energy and Electrical Engineering (ACEEE)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126101008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alejandro Reyes–Ascanio, Antonio Colmenar-Santos, C. Perez-Molina, Enrique Rosales-Asensio
{"title":"Application of Microgrids to Improve Resilience with a Focus on Healthcare","authors":"Alejandro Reyes–Ascanio, Antonio Colmenar-Santos, C. Perez-Molina, Enrique Rosales-Asensio","doi":"10.1109/ACEEE51855.2021.9575058","DOIUrl":"https://doi.org/10.1109/ACEEE51855.2021.9575058","url":null,"abstract":"In this work, we will address the benefits of installing microgrids in order to improve energy resilience, mainly in critical and essential facilities, and more specifically in the healthcare sector. The use of renewable energy sources and sustainable models in the use of these, will be the central pillar by which this study will be governed. To show the benefits that can be generated by this type of microgrids, which can be many and diverse, mainly to reduce supply and maintenance costs and increase energy independence. This type of system works both in operation and in power outages or in times of energy shortages of any kind for this we will use several calculation tools mainly REopt® which contains simulations that allow us to show in an intuitive and graphical way the different cases that we will develop in the study recreating the cases to evaluate the behavior of the system. As it was said at the beginning of this introduction, we will try to guarantee in all the assumptions the continuity in the supply of the critical loads to which a hospital site such as the one of this study is subjected, prioritizing the surgical procedures, the conservation of drugs and for example the refrigeration of organs for transplantation or heating in the winter months. To ensure these and other services that will be detailed later, the microgrid designed for this purpose is composed of a storage station consisting of a set of lithium-ion batteries, a set of diesel generators (own of the site), a photovoltaic generation plant and a wind turbine. With each of the elements contained in the proposed microgrid we would improve the energy resilience but the full potential offered by this system is shown in all its splendor when combined this will be expanded and a deeper study will be conducted in the following points of this study.","PeriodicalId":250053,"journal":{"name":"2021 4th Asia Conference on Energy and Electrical Engineering (ACEEE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132731513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hierarchy Optimization Method for Day-ahead Coordinated Power Dispatch with Priority Given to Clean Energy","authors":"B. Liu, Tao Qin, Gang Zhang, Guoqi Fan","doi":"10.1109/ACEEE51855.2021.9575045","DOIUrl":"https://doi.org/10.1109/ACEEE51855.2021.9575045","url":null,"abstract":"With the increment of installed capacity for renewable energy in power system, wind power curtailment occurs frequently during the process of dispatch. The randomness and intermittence of renewable energy aggravate deep peaking-regulation of thermal power unit, making power fluctuation of each unit. Otherwise, the impact on the environment by carbon emission cannot be ignored. In this paper, a hierarchy optimization method is proposed to divide a large-scale nonlinear dispatch problem into linear part and nonlinear part. Each stage guarantees different objects from different perspectives, i.e. clean energy penetration rate, economy, environment influence and unit fluctuation. Finally, the validity of the proposed method is verified on a system combined with thermal power unit, hydro power unit and a wind farm equipped with battery storage system.","PeriodicalId":250053,"journal":{"name":"2021 4th Asia Conference on Energy and Electrical Engineering (ACEEE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133649173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modeling and Dynamic Matrix Control of Solid-state Electric Heat Storage System With Time Delay","authors":"Lei Chen, Xueli Zhao, Jianfeng Su, Yongqiang Jin","doi":"10.1109/ACEEE51855.2021.9575150","DOIUrl":"https://doi.org/10.1109/ACEEE51855.2021.9575150","url":null,"abstract":"Solid electric heat storage device of energy storage equipment is to use the abandoned wind energy in the trough period to store the heat energy, which plays an important role in the peak regulation of power grid.Aiming at the problem that the heating water temperature fluctuates too much due to the large lag, large overshoot and long time oscillation in the traditional PID heating control system, which can not meet the heating demand, this paper proposes a modeling and dynamic matrix control design of solid-state electric heat storage time delay system based on parameter identification.First solid electric heat storage device is introduced, considering the circular air flow is directly affect the heating water temperature factors, thus circulation heating water temperature and wind data as the parameter identification of input and output system, identify the parameters of the model is obtained by least square method, and designed a solid electric regenerative cycle air - water temperature dynamic matrix control strategy. The results show that the dynamic matrix algorithm has the advantages of smaller overshoot, stronger anti-interference ability, better effect and better dynamic performance for the control system of air volume and water temperature of electric heat storage cycle.","PeriodicalId":250053,"journal":{"name":"2021 4th Asia Conference on Energy and Electrical Engineering (ACEEE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126342329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}