{"title":"Use of solar powered auto irrigation system as solution of reduction of carbon dioxide (CO2) emissions in Rwanda","authors":"E. Iradukunda, V. Kayibanda, Emmanuel Ndagijimana","doi":"10.1109/PowerAfrica53997.2022.9905340","DOIUrl":"https://doi.org/10.1109/PowerAfrica53997.2022.9905340","url":null,"abstract":"In Rwanda, farmers in agriculture field are facing a lot of challenges especially pouring water in their field to keep their plants healthy. For combating with these challenges, an automatic irrigation system can be used. This is possible by using soil moisture sensors, Programmable Logic Controller, motor pumps and solenoid valves. Diesel pumping systems are mostly used in irrigation because most of the agriculture lands are located in areas where there is no electricity. In this paper the use of solar PV systems in agriculture irrigation as solution of reduction of carbon dioxide emissions (CO2) in Rwanda is presented. Simulation with Hybrid optimization Model for Electric Renewables tool (HOMER) at Kigina site, Rweru sector, in Bugesera district shows that the diesel water pumping system emit a big amount of gases as it is found that emission of gases is 231,119kg/year for carbon dioxide (CO2), 1,443kg/year for carbon monoxide (CO), 63.6kg/year for unburned hydrocarbons, 8.65kg/year for particular matter, 566kg/year sulfur dioxide (SO2) and 1,356kg/year nitrogen oxide ($mathrm{NO}_{mathrm{x}}$) but for the solar PV systems no emission of those gazes. The benefit of using solar powered irrigation system is also demonstrated in terms of cost in this paper.","PeriodicalId":371237,"journal":{"name":"2022 IEEE PES/IAS PowerAfrica","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122229306","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":"Potential Factors for Multi-Criteria Evaluation of Capacity Uprate in Relation to New Transmission Line Projects","authors":"N. Mbuli, J. Pretorius","doi":"10.1109/PowerAfrica53997.2022.9905294","DOIUrl":"https://doi.org/10.1109/PowerAfrica53997.2022.9905294","url":null,"abstract":"The most common approach to evaluating new transmission line projects considers techno-economic aspects. However, capacity uprate of lines differs in some fundamental ways from new additions, and has some advantages and disadvantages that the techno-economic approach may not be able to fully consider. Thus, the authors believe that a multi-criteria decision approach (MCDA) from the field of Operations Research (OR) could be useful in this scenario. To this end, the author has investigated other possible factors that could form criteria in a MCDA approach to assessing capacity uprate in relation to new lines. Several factors that could form criteria for evaluation were identified and are discussed in this paper. In addition to techno-economic aspects, these factors include financial position of company, effort in planning of lines, the duration of line project implementation, methods of construction and commissioning of projects, and environmental implications.","PeriodicalId":371237,"journal":{"name":"2022 IEEE PES/IAS PowerAfrica","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115894698","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":"Multi-feeder minigrid loading index – a prequalifier to rigorous grid integration planning of minigrids","authors":"Madalitso Chikumbanje, D. Frame, S. Galloway","doi":"10.1109/PowerAfrica53997.2022.9905343","DOIUrl":"https://doi.org/10.1109/PowerAfrica53997.2022.9905343","url":null,"abstract":"To achieve electricity access in developing countries, grid extension and off-grid energy solutions, such as minigrids, are employed. Recent evidence indicates that beyond achieving electricity access, the grid continues to expand and converges with minigrids. Such convergence is associated with policy, regulatory and technical challenges. One of the technical challenges is the lack of appropriate methods for optimally planning the grid integration of minigrids. Previous research demonstrates that identifying an optimal point of grid infeed into a minigrid improves the loss reduction of the integrated network. However, the method for identifying grid infeed points requires a rigorous power system analysis. This paper introduces a loading index that can operate as a ‘rule of thumb’ for pre-assessing the need for a detailed grid integration study when integrating minigrids. The presented index is demonstrated for two case studies, and its accuracy in different minigrid conditions is also discussed.","PeriodicalId":371237,"journal":{"name":"2022 IEEE PES/IAS PowerAfrica","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122295221","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":"Implementation of a FUZZY logic controller (FLC) for improvement of an Automated Voltage Regulators (AVR) dynamic performance.","authors":"N. Mazibukol, K. T. Akindejil, G. Sharma","doi":"10.1109/PowerAfrica53997.2022.9905407","DOIUrl":"https://doi.org/10.1109/PowerAfrica53997.2022.9905407","url":null,"abstract":"achieving stable and fast response of an AVR system is challenging because of the high inductance of the windings of a synchronous generator (SG). As a result, improving AVR performance is critical, and an adequate controlling technique is required to achieve this. This paper implements a Fuzzy Logic controller (FLC) to improve the dynamic performance of an AVR. AVR’s transfer function is mathematically modeled and simulated in order to observe its step response when the terminal voltage of a generator is subjected to load variations. Following an FLC-based AVR model is designed and implemented for a 5by5 and 7by7 fuzzy interface system. The transient response of the AVR system and FLC is analyzed using transient response analysis. Both AVR and FLC-based AVR are modelled and implemented on matlab Simulink 2020a.The results show an improvement in the performance of an FLC-based AVR as compared to the traditional AVR without a controller.","PeriodicalId":371237,"journal":{"name":"2022 IEEE PES/IAS PowerAfrica","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122473704","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":"Finding Protection Based Distributed Generation Medium Voltage Opportunity Networks Using Machine Learning","authors":"E. Nxumalo, K. Awodele","doi":"10.1109/PowerAfrica53997.2022.9905260","DOIUrl":"https://doi.org/10.1109/PowerAfrica53997.2022.9905260","url":null,"abstract":"In network planning studies, electricity distribution networks are modelled in load flow programs and are used to investigate load growth scenarios. These load growth scenarios help decide how to reinforce current networks to sustain the growth in load demand. Modelling networks on load flow programs like DIgSILENT is relatively easy for simple networks but becomes time-consuming for complex, large, and real networks. This brings about limitations such as planning inadequacies; and results in longer Distributed Generation (DG) connection approval periods. In this paper, a 12-step method for determining distributed generation Medium Voltage opportunity Networks (MVONs) was developed using machine learning (Linear, logistic regression techniques and recommendation systems). When the technique was applied to four distribution networks, protection coordination reinforcements against loss of grading and desensitization were required for DG connections where the medium-voltage transformer circuit breaker TMS and network fault levels were within certain time and current thresholds respectively.","PeriodicalId":371237,"journal":{"name":"2022 IEEE PES/IAS PowerAfrica","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123742801","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":"Study on Integration of Large-Scale Photovoltaic and Wind Power Generation into a Grid","authors":"Nomvelo Nzimande, Y. Noro","doi":"10.1109/PowerAfrica53997.2022.9905302","DOIUrl":"https://doi.org/10.1109/PowerAfrica53997.2022.9905302","url":null,"abstract":"Global warming has emerged, and it is a major issue worldwide; countries are being encouraged to reduce greenhouse gas emissions by using clean energy. Integrating large-scale solar photovoltaic (PV) generation plants and wind farm power plants with electric power systems as a renewable energy (RE) source is crucial to achieving targets, for example economic, and reducing some environmental issues. However, the integration of large-scale renewable energies, such as wind and PV, requires control techniques to maintain the stability of the power system. In this study, the Automatic Generation Control (AGC) strategy was employed to improve the performance of Load Frequency Control (LFC). The LFC model was built in the MATLAB Simulink environment, based on the Republic of South African’s (RSA) electrical power system.","PeriodicalId":371237,"journal":{"name":"2022 IEEE PES/IAS PowerAfrica","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122093949","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":"Driving an Inclusive Transition to Electric Vehicle in African Cities: A Case Study of Dakar","authors":"Joel Yongoua Nana, H. Winkler, H. von Blottnitz","doi":"10.1109/PowerAfrica53997.2022.9905244","DOIUrl":"https://doi.org/10.1109/PowerAfrica53997.2022.9905244","url":null,"abstract":"Dakar published in 2021 its first Climate Action Plan (CAP), a first step to achieve the City’s commitment of net zero CO2 by 2050. The CAP sets out key priority actions which among others, target an Electric Vehicle (EV) market penetration of 18% by 2050, coupled with passenger modal shifts. Until now, global EV deployment has greatly benefited from several regulatory and fiscal incentive measures, with most high-income countries already having the grid prerequisites for large market penetration of EVs. In this Viewpoint, we examine Dakar’s EV vision in contrast with global trends and make the case for more locally relevant and inclusive EV strategies for Sub Saharan African cities. We then explore the foundations of such a forward-looking EV agenda and argue that current efforts should support the electrification of buses and minibuses for greater positive social impacts.","PeriodicalId":371237,"journal":{"name":"2022 IEEE PES/IAS PowerAfrica","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116379096","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 Modified Approach for Monitoring Technical and Non-Technical Losses in a Distribution Feeder in a Developing Country: The Democratic Republic of Congo as a Case Study.","authors":"Muzalia Kikuni Benjamin, Peter Musau Moises","doi":"10.1109/powerafrica53997.2022.9905286","DOIUrl":"https://doi.org/10.1109/powerafrica53997.2022.9905286","url":null,"abstract":"Power losses are a major problem in the electricity distribution sector, mostly in developing countries. There is a need to assuring a continuous monitoring of distribution networks for maintaining the losses within acceptable levels. This can help power companies in developing countries not only to minimize commercial loss but also to optimize their profitability. Moreover, a continuous monitoring guarantee a better power quality of power delivered as well as distribution system efficiency and reliability. This paper establishes an alternative methodology for Technical Losses (TL) and NonTechnical Losses (NTL) analysis per feeder. The monitoring process relies on Automated Control Chart with a statistical approach, which allows detecting any deviation in the energy consumption whenever the consumption data surpass admissible deviation limits set by control parameters. The analyses performed in this paper make use of time series data measured on feeders of a real power supply located at Rutsuru in the DRC.","PeriodicalId":371237,"journal":{"name":"2022 IEEE PES/IAS PowerAfrica","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125752534","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":"Heuristic Approach to Ring Main Unit Placement within a Self-Healing Distribution Network","authors":"Ibrahim Adaji, Jerry Chua-Liang Su, Suresh Gautam","doi":"10.1109/PowerAfrica53997.2022.9905271","DOIUrl":"https://doi.org/10.1109/PowerAfrica53997.2022.9905271","url":null,"abstract":"Active management and protection of distribution networks are beginning to take a foothold in utilities within Africa. In this regard, Fault Location, Isolation, and Service Restoration (FLISR) scheme is a prevalent smart grid functionality for enhancing the reliability performance of a distribution system. At the high level, FLISR facilitates faster sectionalization of a distribution feeder during a failure event and reliability improvement is achieved by limiting the exposure to or duration of outage experienced by customers connected to the feeder i.e., Self-Healing. This paper introduces a Heuristic Method suitable for FLISR scheme implementation: select manually operated medium voltage isolation switches are upgraded to automated and/or tele-controllable Ring Main Units (RMU). The method assigns a Reliability Value that can be readily calculated for any manual switches under consideration. A ranking system is then introduced to rank the manual switches where ones with the highest Reliability Values are prime candidates for automation. A case study will be presented based on an actual distribution network in a utility in North Africa, using a predictive reliability model developed in CYMDIST software to compute and compare the reliability performance (SAIDI) of selected feeders with RMUs. The result shows that the reliability performance with RMU is most sensitive to feeders with longest length attributes and least sensitive to the feeders with lowest capacity attributes in the network.","PeriodicalId":371237,"journal":{"name":"2022 IEEE PES/IAS PowerAfrica","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125885656","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":"Analysis of the Effects of Drought Conditions on Hydroelectric Power Generation in Uganda","authors":"Vedaste Ndayishimiye, G. Bakkabulindi, E. Miyingo","doi":"10.1109/PowerAfrica53997.2022.9905257","DOIUrl":"https://doi.org/10.1109/PowerAfrica53997.2022.9905257","url":null,"abstract":"Currently (2022), hydropower accounts for more than 80% of Uganda's total power supply. In recent years, the Ugandan government has paid special attention to hydropower generation because it is a renewable energy source. However, hydropower is one of the most vulnerable energy generation technologies to global and regional climate change. The purpose of this paper is to present an assessment of the effects of climate change on hydroelectric power production in Uganda's energy sector. The sensitivity of the risk associated with the annual energy production of large hydropower plants in Uganda has been evaluated using the extreme climate change (RCP8.5) scenario described in the Economic Assessment of the Impacts of Climate Change in Uganda of 2015. According to scenario analysis, the contribution of currently installed hydropower plants to the total electricity production would decrease from 80.7% in 2020 to 60.3% in 2050 as a result of a drop of 20% over Lake Victoria, and an assumption of surface temperature increases of $3^{circ}text{C}$ in 50. This study suggests considering storage capacity to deal with future climate variability and its effects on hydropower plants. Rebalancing the energy mix and reducing reliance on hydropower would also be recommended to ensure more diversified power production.","PeriodicalId":371237,"journal":{"name":"2022 IEEE PES/IAS PowerAfrica","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134581540","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}