{"title":"Finding the Optimum Horizon for Short-Term Solar Irradiance Forecasting Using Long Short-Term Memory (LSTM) Network","authors":"Chibuzor N Obiora, Ahmed Ali, Ali N. Hasan","doi":"10.1109/ICPSE56329.2022.9935346","DOIUrl":"https://doi.org/10.1109/ICPSE56329.2022.9935346","url":null,"abstract":"The emerging negative effects of non-renewable fuels have compelled many nations to promote using Renewable Energy Sources (RES). Because it is affordable and readily available, solar power is among the RES that has achieved acceptance globally. Solar energy is, however, infamously unpredictable. This is why research fields that involve predictive analysis continue to have a considerable demand for improving the accuracy of global solar radiation prediction. Although Artificial Intelligence (AI) models have been quite helpful, researchers are still developing algorithms that can produce the least amount of prediction errors. This paper presents a successful improvement in estimating solar irradiance using the Long Short-Term Memory (LSTM) network. The input dataset used consisted of historical Cape Town meteorological data collected at five different horizons. Results obtained show that LSTM performed better than the Support Vector Regression (SVR) model, with an nRMSE value of 2.4 percent at 5-minute intervals of prediction. It is suggested that the real-time application of these findings to the operation of solar power plants in the study location produce reliable electricity for the consumers.","PeriodicalId":421812,"journal":{"name":"2022 11th International Conference on Power Science and Engineering (ICPSE)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127245332","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}
Seif Eldin A. Shorbila, Osama M. Hebala, H. Ashour
{"title":"Decarbonization of Net Zero Energy Buildings by an Intelligent Energy Management System for Smart Grids","authors":"Seif Eldin A. Shorbila, Osama M. Hebala, H. Ashour","doi":"10.1109/ICPSE56329.2022.9935446","DOIUrl":"https://doi.org/10.1109/ICPSE56329.2022.9935446","url":null,"abstract":"Buildings consume most of the world’s electric power fossil fuel-based production. Therefore, they are responsible for emitting most of the world’s Green House Gases (GHG) The Net Zero Energy Buildings (NZEBs) concept is developed to reduce their energy consumption and GHS emissions by installing on-site grid-connected Distributed Energy Resources (DER) to generate the building’s demanded energy. Although the DERs of NZEBs could generate slightly more energy than their energy consumption, there is a negative cost gap between the imported and exported energy, since the imported energy cost could be more than the exported energy cost. This cost gap increases the payback time of the DERs. In addition, when the NZEBs are connected to an electric fossil fuel utility grid, the patterns mismatch between energy consumption and on-site generated energy of NZEBs causes GHS emissions, then making the NZEBs a non-environmental solution for smart grid decarbonization. This research aims to minimize the payback time of the installed DER, optimize the production of GHS of NZEB, and increase the reliability of the injected power of the NZEB to the utility grids. The research aims are achieved by installing an Energy Storage System (ESS) in NZEBs and then controlling the charging and discharging power of the ESS. The controller is implemented by Proportional Integral (PI), Fuzzy Logic Controller (FLC) and got validated by a hybrid nano-grid which is connected to a fossil fuel utility grid. Consequently, the controller regulates the injected and the consumed power to the optimal operating points, making the NZEBs environmentally sustainable, cost-effective, and effectively achieving smart grid decarbonization.","PeriodicalId":421812,"journal":{"name":"2022 11th International Conference on Power Science and Engineering (ICPSE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130439471","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":"Social Perception of Renewable Energies in the Coastal Zone of South Brazil","authors":"Carla de Abreu D’Aquino, D. Peyerl","doi":"10.1109/ICPSE56329.2022.9935360","DOIUrl":"https://doi.org/10.1109/ICPSE56329.2022.9935360","url":null,"abstract":"The main goal of the work is to present the social perception of renewable energies in the coastal zone of south Brazil. The study was carried out between 2014 and 2022, including opinion research based on a questionnaire application. Three surveys were conducted in two municipalities located in the coastal zone of Santa Catarina State, South Brazil. The results demonstrate a certain disparity in the knowledge related to sustainability, coastal zone, and renewable energies. 96% of the respondents consider wave energy very good or good as the energy source for the coastal municipality in the south of Brazil. Solar energy presents positive acceptance. The public perception proved to be more favorable for photovoltaic distributed generation than for solar energy in general. Wind energy also presented a positive acceptance in the coastal zone of south Brazil, indicating a good scenario in social perception mainly for offshore wind energy.","PeriodicalId":421812,"journal":{"name":"2022 11th International Conference on Power Science and Engineering (ICPSE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128931228","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":"Planning of Optimal Phase Balancing for an Unbalanced Distribution System: A Case Study of Cambodia","authors":"Sopheak Kay, V. Vai, Samphors Eng, Tivorn Him","doi":"10.1109/ICPSE56329.2022.9935454","DOIUrl":"https://doi.org/10.1109/ICPSE56329.2022.9935454","url":null,"abstract":"This paper discusses the problem of minimizing the power loss in unbalanced distribution systems through phase-balancing with the phase swapping concept from substation (HV/MV) to all MV/LV substations. This paper proposes a genetic algorithm (GA) for the optimum phase unbalancing in the medium voltage unbalanced distribution system. To validate the proposed method, the real distribution system test of 47 buses in a rural area, Cambodia is selected. Firstly, the relevant data of the real test system which consists of phase connection, line data, and bus data are collected. Then, the performance with several indicators of the test system is provided. Next, the optimal simulation results are performed in the real distribution system with the proposed method to minimize the power loss and improve the voltage profile using load flow computation in MATLAB considering voltage regulation, maximum voltage unbalance, and total power losses. The simulation results confirm the effectiveness of the proposed method for planning and operation.","PeriodicalId":421812,"journal":{"name":"2022 11th International Conference on Power Science and Engineering (ICPSE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129205854","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":"Employing Distribution Static Var Compensator (DSTATCOM) and Flywheel Energy Storage System (FESS) for Improving Stability of Microgrid (MG) During Short Duration Events","authors":"Zaher A. Saafin, Ümmühan Başaran Filik","doi":"10.1109/ICPSE56329.2022.9935509","DOIUrl":"https://doi.org/10.1109/ICPSE56329.2022.9935509","url":null,"abstract":"Due to the increase interest of global warming, huge concerns focus on using renewable energy sources (RES) in microgrids (MGs) and improving their operation and stability. This research suggests employing flywheel energy storage system (FESS) as an environmental energy storage system to stabilize MG frequency during the island mode of operation. Also, this research presents a distribution static var compensator (DSTATCOM) to stabilize the voltage during three phase fault and mitigate the impacts of sag short duration event. The results supported employing FESS to stabilize frequency during the island mode of operation as well as employing DSTATCOM for voltage regulation during the short disturbances and reduce their impacts to improve the power quality (PQ) during the MG operation. The results validated using MATLAB software package.","PeriodicalId":421812,"journal":{"name":"2022 11th International Conference on Power Science and Engineering (ICPSE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115496545","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}
Jacopo C. Alberizzi, J. M. Frigola, M. Renzi, Joan Colomer, Manuel Perez Estevez, Albert Ferrer Moreno
{"title":"Optimal Day-ahead Scheduling of Heat Pump Heating Systems Partially Fed by Renewable Generation","authors":"Jacopo C. Alberizzi, J. M. Frigola, M. Renzi, Joan Colomer, Manuel Perez Estevez, Albert Ferrer Moreno","doi":"10.1109/ICPSE56329.2022.9935507","DOIUrl":"https://doi.org/10.1109/ICPSE56329.2022.9935507","url":null,"abstract":"Buildings are responsible for a large amount of CO2 emissions and reducing their footprint can play an important role to contrast climate change. When designing heating systems, two aspects are usually considered as the most relevant: the energy consumption and the thermal comfort that the system must guarantee. The thermal comfort of a building and the energy consumption are thus connected with the heating power provided and demanded by the heating system. In a scenario of increasing self-generation of renewable energy for electricity production, it is necessary to take advantage of energy storage capacities to reduce the coupling between heating demand and the electricity demand needed to maintain comfort. In this work, this problem is solved as a multi-objective optimization problem aiming to schedule the best temperature set-point to maintain comfort with the minimal power consumption. A Particle Swarm optimization algorithm was applied to find the optimum operation point.","PeriodicalId":421812,"journal":{"name":"2022 11th International Conference on Power Science and Engineering (ICPSE)","volume":"6 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113932118","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}
Diaa Salman, Nasser Al Musalhi, M. Kuşaf, Erbuğ Çelebi
{"title":"Integration of Electric Vehicle Charging Stations into the Unit Commitment Modeling","authors":"Diaa Salman, Nasser Al Musalhi, M. Kuşaf, Erbuğ Çelebi","doi":"10.1109/ICPSE56329.2022.9935510","DOIUrl":"https://doi.org/10.1109/ICPSE56329.2022.9935510","url":null,"abstract":"The rapid proliferation of plug-in electric vehicles (PEVs) has resulted in a significant impact and load being placed on the nation’s power grid as a result of the charging of a number of PEVs, especially at the low and medium voltage distribution infrastructure. This creates a significant obstacle to the further mass distribution of electric vehicles (EVs). In this study, the effectiveness of the EV charging stations on the short-term power system planning and control is being studied, and the dynamic programming-genetic algorithm (DP-GA) as a hybrid optimization approach is being used to minimize the power system operational costs. IEEE 14-bus test system is being used to evaluate the suggested methodology. Long short-term memory (LSTM) as a deep learning approach is being utilized to forecast the day ahead performance of EV charging stations in order to be integrated with the power grid. The result shows that the mean square error (MSE) of LSTM is around 0.045 for EV prediction to achieve the plan of UC with minimum production costs of 514707${$}$ for the day ahead.","PeriodicalId":421812,"journal":{"name":"2022 11th International Conference on Power Science and Engineering (ICPSE)","volume":"46 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121004047","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":"Power Quality Enhancement in Hybrid Grid Using FACTS Device","authors":"Mohammed Al-Anbagi, Zaid Hamodat","doi":"10.1109/ICPSE56329.2022.9935382","DOIUrl":"https://doi.org/10.1109/ICPSE56329.2022.9935382","url":null,"abstract":"This work presents a mathematical model and control process of a three-phase VSC static synchronous compensator (STATCOM) in a hybrid grid made up of a 100 KW PV plant and a traditional power source. This approach is used to address the issues caused by the presence of both reactive and resistive loads at the common coupling point (PCC). The suggested control approach controls the STATCOM in a way that forces the source quadrature current component to zero, allowing only the active current component to be pulled from the source while the STATCOM satisfies the harmonic and reactive current requirements of the non-linear load. This approach will reduce the reactive power driven from the grid and eventually increase the transmission capacity and enhance the grid stability.","PeriodicalId":421812,"journal":{"name":"2022 11th International Conference on Power Science and Engineering (ICPSE)","volume":"65 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132221368","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":"ICPSE 2022 Cover Page","authors":"","doi":"10.1109/icpse56329.2022.9935367","DOIUrl":"https://doi.org/10.1109/icpse56329.2022.9935367","url":null,"abstract":"","PeriodicalId":421812,"journal":{"name":"2022 11th International Conference on Power Science and Engineering (ICPSE)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124758567","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}
D. Esenarro, Karolina Malpartida, Luna Silvana, Vanessa Raymundo, Walter D. Morales
{"title":"Use of Renewable Energies Applied in Design Strategies for User Comfort in a House in Iquitos-Belen","authors":"D. Esenarro, Karolina Malpartida, Luna Silvana, Vanessa Raymundo, Walter D. Morales","doi":"10.1109/ICPSE56329.2022.9935461","DOIUrl":"https://doi.org/10.1109/ICPSE56329.2022.9935461","url":null,"abstract":"The objective of this research is proposed to use renewable energies apllied in design strategies for user comfort of users in Belen-Iquitos housing. in the district has several deficiencies; structural, bioclimatic and disconnection to the basic networks of electricity, water and drainage, as well as self-construction, which do not comply with an adequate design for user comfort, nor provide an adequate quality of life. The methodology is based on the application of bioclimatic architectural design criteria such as the use of renewable energies (passive), climate analysis of the site, rainwater harvesting and organic waste management with the support of digital tools (Rhinoceros, Autocad, Revit, Solar Chart, Design Builder). As results of the research, the housing prototype allows access to clean water through the collection of rainwater, also the reduction of pollution and access to electricity through the use of solar panels with the necessary calculations of the energy required by the house and the protection of the aquatic ecosystem of the Itaya River through the collection of organic waste generated by the users. Finally, it was concluded that the bioclimatic criteria had a positive influence on the thermal and lighting comfort of the house, reducing the environmental impact.","PeriodicalId":421812,"journal":{"name":"2022 11th International Conference on Power Science and Engineering (ICPSE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114676226","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}