{"title":"Analytical model for the prediction of the Magnetic Field Distribution due to a finite length Permanent Magnet array for a Radially Magnetized Linear Oscillatory Machine","authors":"D. Chembe, J. Strauss, P. Randewijk","doi":"10.1109/PowerAfrica49420.2020.9219927","DOIUrl":"https://doi.org/10.1109/PowerAfrica49420.2020.9219927","url":null,"abstract":"This paper present a two dimensional (2D) analytical model for longitudinal flux air-cored linear oscillatory generator. The proposed model considers a model in which the magnetic field is only generated by the permanent magnets. The analytical model is developed by taking the permanent magnet array as having a finite length which is repeated infinitely at a separation distance while the iron yokes are considered to be infinitely long; infinitely permeable. The solutions are obtained by employing the sub-domain method and the separation of variables. The magnetic field distribution is predicted by the analytical model developed and correlates well with the distribution generated by a finite element package","PeriodicalId":325937,"journal":{"name":"2020 IEEE PES/IAS PowerAfrica","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125049123","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}
H. Ibrahim, Bawonda Femi Ikotoni, Isah Yakubu Jatto
{"title":"Smart Traffic Roads Junction Energy Exploration for Electrical Energy Generation","authors":"H. Ibrahim, Bawonda Femi Ikotoni, Isah Yakubu Jatto","doi":"10.1109/PowerAfrica49420.2020.9219928","DOIUrl":"https://doi.org/10.1109/PowerAfrica49420.2020.9219928","url":null,"abstract":"The development of transportation system uses chemical energy to provide its mechanical energy needed to move. This mechanical energy of the transport system in the form of friction energy, potential energy of the weighted vehicles, heat energy of the tyre in contact with the road, sound energy of the vehicles and other sound energy related activities on the road is left unharnessed. However, this wasteful energy on this road could be utilizes into electrical energy through suitable approach that includes piezoelectric transducer QB220-503YB with dimensions (31.8×66.7×1.8 mm) at each of the carriageway in the road junction, utilizes the weight of moving vehicles with the aid of piston-spring pressure and then convert it into beneficial electric energy. This paper studied attempts to concentrate the possibility of taking advantage over traffic road junction by pressure in weighted form of moving vehicles and Pedestrians and in turn convert it to electrical energy using ramp coupled to piston-spring pressure arrangement and Piezoelectric material, stored the converted energy in the high performance battery for further public utilities, off national electricity grid. This is called Smart Traffic Road junction, an intersection of different cardinal roads network at a point. The case study, Traffic Road junction, was considered where wasteful energy much more than just a carriageway is more unnoticed. From the observation, it is noticed that the electric power is highest with the large truck weighing 2460kg, thus the 100 transducers at the four carriage lanes will produce about 102.612 kilowatt-hours. As known a LED street lamp consume about 60 watts-hour; so the produced amount of converted energy is sufficient to power 1710 number of street lights or appliances within the permissible range.","PeriodicalId":325937,"journal":{"name":"2020 IEEE PES/IAS PowerAfrica","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128321214","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":"A Model for Predicting Unregulated Energy Usage","authors":"E. Frimpong, Elvis Twumasi","doi":"10.1109/PowerAfrica49420.2020.9219844","DOIUrl":"https://doi.org/10.1109/PowerAfrica49420.2020.9219844","url":null,"abstract":"The paper presents a technique for estimating the energy consumption of unregulated energy loads in offices. It uses the optimum power and optimum usage period in three modes of device usage, for the estimation. The usage modes are active mode, low active (idle) mode and off mode. The optimum powers and usage times are inserted into a mathematical equation to give the estimated energy consumption. The optimum values were optioned, using the non-dominated sorting genetic algorithm II (NSGA II), from a range of measured values. The approach was tested using energy consumption data for unregulated energy loads in an office of the Kwame Nkrumah University of Science and Technology, Kumasi. The results obtained show that the model has a high degree of accuracy.","PeriodicalId":325937,"journal":{"name":"2020 IEEE PES/IAS PowerAfrica","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128359318","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}
Richard Cartland, A. Sendegeya, Jean de Dieu Khan Hakizimana
{"title":"Analysis of the Development and Installations of Renewable Energy-based Mini-grids: Case study Uganda","authors":"Richard Cartland, A. Sendegeya, Jean de Dieu Khan Hakizimana","doi":"10.1109/PowerAfrica49420.2020.9219872","DOIUrl":"https://doi.org/10.1109/PowerAfrica49420.2020.9219872","url":null,"abstract":"The provision of energy to all citizens has been an outstanding need in most developing countries in order to meet Sustainable Development Goals (SDGs) by 2030. Uganda as a developing country has put mechanisms in place to provide electricity to her people and be able to realize the national vision of 2040 and be able to address other SDGs by 2030. Solar PV mini-grids are emerging as popular alternatives to address rural electrification shortfall after other renewable energy mini-grid types proved desirable for some period. Uganda's expectations of renewable mini-grids are high with the Ministry of Energy and Mineral Development, the World Bank, and the Government of Uganda showing much interest to support the mini-grid development. This paper, therefore, looks at general mini-grid development and operation models and finds out arguments making renewable energy mini-grids popular at the expense of non-renewable based mini-grids. The methodology focuses on exploring ideas and formulating a hypothesis by summarizing, categorizing, and interpreting both the primary and secondary data. The paper concludes looking at the strength, benefits, and challenges of renewable mini-grids.","PeriodicalId":325937,"journal":{"name":"2020 IEEE PES/IAS PowerAfrica","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124605413","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":"Short-term Forecasting for Integrated Load and Renewable Energy in Micro-grid Power Supply","authors":"N. Mwanza, Peter Musau Moses, A. Nyete","doi":"10.1109/PowerAfrica49420.2020.9219859","DOIUrl":"https://doi.org/10.1109/PowerAfrica49420.2020.9219859","url":null,"abstract":"For planning and operation activities, accurate forecasting of demand is very important in sustaining the load demand in the electrical power system. Recently there has been increased use of renewable energy and unlike other sources of electricity like diesel generators, estimation of power production from renewable sources is uncertain. Therefore, reliable techniques for forecasting renewable energy and load demand are of paramount importance. Several forecasting techniques have been researched on in the past and are classified into; physical, statistical and AI techniques The proposed research involves forecasting integrated load and renewable energy (solar and wind) using Artificial Neural Network(ANN) and Enhanced Particle Swamp Optimization (EPSO) techniques. The output of this research is the predicted netload. The analysis of the results depicts ANN_EPSO as a reliable method for forecasting renewable energy and Load demand.","PeriodicalId":325937,"journal":{"name":"2020 IEEE PES/IAS PowerAfrica","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133609255","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":"Technical-ecological optimization of the operation of a multi-source electrical system injecting into a distribution network using homer software and genetic algorithms","authors":"Oloulade Arouna, Moukengue Imano Adolphe, Fifatin François-Xavier, Oussou Romain Agossou, Ganye Amédée, A. Macaire, Vianou Antoine, Badarou Ramanou","doi":"10.1109/PowerAfrica49420.2020.9219833","DOIUrl":"https://doi.org/10.1109/PowerAfrica49420.2020.9219833","url":null,"abstract":"This work consisted in positioning and sizing a photovoltaic solar power plant with or without storage in an existing hybrid system consisting of a Diesel power plant, a hydroelectric power plant and an infinite network. Genetic algorithms and Homer software inspire the tools used. The objectives of this study are the minimization of losses, voltage deviations, greenhouse gases and the cost of energy distributed to the customer. From this study, it emerges that the optimal hybrid system is that consisting of 2.11 MW photovoltaic (1.71 MW at node 169 and 0.4 MW at node 110), 1 MW hydroelectricity, 4 MW Diesel and 1 MW Network. Greenhouse gas emissions have improved by 20.96% and the cost of hybrid energy has dropped from 166 FCFA to 120 FCFA, a decrease of 28.75%.","PeriodicalId":325937,"journal":{"name":"2020 IEEE PES/IAS PowerAfrica","volume":"40 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133591915","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":"Use of Multiple Linear Regression Techniques to Predict Energy Storage Systems' Total Capital Costs and Life Cycle Costs","authors":"Jacquelynne Hernández, A. Etemadi","doi":"10.1109/PowerAfrica49420.2020.9219941","DOIUrl":"https://doi.org/10.1109/PowerAfrica49420.2020.9219941","url":null,"abstract":"In the United States, legislative and regulatory requirements are the primary drivers for the use of grid-level energy storage. In some cases, state-level legislative mandates called Renewable Portfolio Standards (RPSs) necessitate the use of storage to support renewable generation (e.g., solar, wind energy). At the federal level, the Federal Energy Regulatory Commission (FERC) has issued final Orders that stipulate fair and equitable competition rules for regional interstate transmission markets. In both instances, it is the investor-owned utility (IOU) entities that are financially responsible to either satisfy the state and FERC Orders or face noncompliance fines or tariffs. Unfortunately, utility investors do not have a reliable tool to assist in understanding the front-end installation costs or whole life cycle costs for electrical storage systems that service the electric grid. This paper proposes the use of multiple linear regression (MLR) techniques using R-Script to predict the total capital cost (TCC) and life cycle cost (LCC) of real-world energy storage systems (ESSs) derived from manufactures' design specifications and intrinsic characteristics of lead-acid, lithium-ion, sodium sulfur; and vanadium and Ainc-based Aow Aatteries.","PeriodicalId":325937,"journal":{"name":"2020 IEEE PES/IAS PowerAfrica","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114947282","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":"New Approach for Design of Shunt Active Power Filter for Power Quality Improvement in a Three Phase Three Wire System","authors":"N. Bett, Christopher C. Maina, P. Hinga","doi":"10.1109/PowerAfrica49420.2020.9219889","DOIUrl":"https://doi.org/10.1109/PowerAfrica49420.2020.9219889","url":null,"abstract":"Use of power electronic-based load has increased in the resent decade. These loads draw non-sinusoidal currents and voltages from the utility supply generating harmful harmonics. Injection of harmonic currents and voltages into the utility supply affect the utility supply systems and customer's equipment connected at point of common coupling. Issues of power quality has become an important issue to both users and distributers of electrical power. Active power filters have proven to be an efficient method for power quality improvement and reactive power compensation in a system with harmonic related problems. This work present approach for design of shunt active power filter for harmonic compensation. Different traditional and modern harmonic solutions topologies are presented. Shunt active power filter is the most famous and used type of filter hence need to improve its performance. The generation of reference signal and control of shunt active power filter is considered in this work. Deadbeat control of APF in $alpha-beta$ reference frame and PI control for DC link voltage is presented, considering advantages of each controller. Three phase three wire system supplying nonlinear load is used to test performance of the proposed filter. It is implemented on MATLABSimulink and results discussed.","PeriodicalId":325937,"journal":{"name":"2020 IEEE PES/IAS PowerAfrica","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134352394","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":"Design And Analysis Of Grid-Connected Photo-Voltaic System By Using Different PWM Techniques For Inverter Control","authors":"S. Ravindra, Shelar Mrunali Ravindra, K.K. More","doi":"10.1109/PowerAfrica49420.2020.9219922","DOIUrl":"https://doi.org/10.1109/PowerAfrica49420.2020.9219922","url":null,"abstract":"Preference to Grid integrated PV system implementation is becoming more acceptable on commercial as well as residential levels due to the growing importance of solar energy and its advantages over conventional energy sources. The inverter is an inevitable element of this system that allows the integration of the PV system and grid, so to reduce the harmonics in the system produced by the inverters, different pulse width modulation (PWM) techniques are practiced. Conventional ones are the SINE-PWM technique, Space Vector based PWM technique, Hysteresis current controller-based PWM technique, etc. The new technique of pulse width modulation PWM includes injection of harmonic and vectorial modulation. In this paper, the design and analysis of 11 KV grid-connected PV system is carried by using sinusoidal pulse width modulation (SPWM), third harmonic injection pulse width modulation (THIPWM), and space vector pulse width modulation (SVPWM). Harmonic performance (THD) of different PWM techniques is studied and analyzed in MATLAB/SIMULINK environment.","PeriodicalId":325937,"journal":{"name":"2020 IEEE PES/IAS PowerAfrica","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132747420","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":"The Implementation of Smart Meters for Electric Grid Improvements and Reliable Power Flow Data on Electrical Power Distribution Network","authors":"Sindi Ndaba, I. Davidson","doi":"10.1109/PowerAfrica49420.2020.9219916","DOIUrl":"https://doi.org/10.1109/PowerAfrica49420.2020.9219916","url":null,"abstract":"High electrical power loss is of concern in South Africa and it is an issue that many power utilities around the world encounter. Technical and non-technical losses are the contributing factors of electrical power losses. Technical losses are regarded as the electrical system losses which are caused by network impedance, current flows, and auxiliary supplies. Electricity thefts, measurement system errors and non-payments of bills are the contributing factors to non-technical losses which resulted in revenue loss increasing every year in Eskom. The smart grid with smart meters implemented promises to be an effectively integrated technology to address the issue of non-technical losses. To analyze the effectiveness of smart prepaid split meters implementation on Eskom distribution networks, a quantitative random sample assessment of 334 respondents was evaluated using a self-administered questionnaire. The collected data was analyzed with Statistical Package for the Social Sciences software (SPSS) version 26.0 and Microsoft Excel 2016 version to achieve multi-objective decision-making for smart prepaid split metering effectiveness for both utility and customer satisfaction. The different inferential statistics techniques used include regression, correlations, multifactor analysis (MFA), and chi-square goodness of fit test to interpret the p-values, identify the change-point, detect the trend and to correlated best fit time series for decision making. The findings showed that smart metering usage as emerging technology has offer multiple benefits to utilities and provide a possible long-term solution to many of the power-related problems utilities face.","PeriodicalId":325937,"journal":{"name":"2020 IEEE PES/IAS PowerAfrica","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123456160","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}