2022 IEEE PES/IAS PowerAfrica最新文献_第3页

Harmonic Sequences Affecting Synchronous Generator Response to GIC 谐波序列对同步发电机GIC响应的影响

2022 IEEE PES/IAS PowerAfrica Pub Date : 2022-08-22 DOI: 10.1109/PowerAfrica53997.2022.9905278

Pitambar Jankee, D. Oyedokun, H. Chisepo

引用次数: 1

Feasibility study of floating solar photovoltaic system integrated with a hydropower plant (Nyabarongo hydropower plant dam case study) 浮动太阳能光伏系统与水电站集成的可行性研究(Nyabarongo水电站大坝案例研究)

2022 IEEE PES/IAS PowerAfrica Pub Date : 2022-08-22 DOI: 10.1109/PowerAfrica53997.2022.9905317

Jean de Dieu Samvura, Jean D'amour Ni̇yonsaba, Jmv Bikorimana, Philbert Dusenge, Thomas Rwahama

引用次数: 1

A Comparison of Model Predictive and Dead-Beat Predictive Control Algorithms for Permanent Magnet Synchronous Motor 永磁同步电机模型预测与死拍预测控制算法的比较

2022 IEEE PES/IAS PowerAfrica Pub Date : 2022-08-22 DOI: 10.1109/PowerAfrica53997.2022.9905239

Kenneth Odo, C. Ogbuka, Ifeanyi Chinaeke-Ogbuka, A. Ajibo, O. Oparaku, E. Ejiogu

引用次数: 0

A Review of Load Assessment and Load Prioritization for Micro-Hybrid Power Plants in Rural Communities 农村社区微混合动力电厂负荷评估与负荷优先排序研究进展

2022 IEEE PES/IAS PowerAfrica Pub Date : 2022-08-22 DOI: 10.1109/PowerAfrica53997.2022.9905256

Likonge Makai, O. Popoola, C. Bowa, M. Mwanza

{"title":"A Review of Load Assessment and Load Prioritization for Micro-Hybrid Power Plants in Rural Communities","authors":"Likonge Makai, O. Popoola, C. Bowa, M. Mwanza","doi":"10.1109/PowerAfrica53997.2022.9905256","DOIUrl":"https://doi.org/10.1109/PowerAfrica53997.2022.9905256","url":null,"abstract":"Penetration of renewable energy in Sub-Saharan African countries like Zambia particularly in rural areas is seemingly very low despite having the local resources that could support development of micro-hybrid systems. The contributing factor are lack of proper load assessment and load prioritization before and after development of the micro-hybrid systems which leads to overloads and shortening of the lifespan of storage systems due to over-discharge. In this paper, several different methodologies used to assess the type of end user load for renewable energy systems and prioritization of the load are reviewed. The paper aims at outlining the selection process and assessment involved in selection of probable renewable energy source (RES) and/ energy conversion systems (ECS) and the prioritization process of loads for the solar-based energy systems. A comparison of the available methods is presented and the optimal method that should be deployed to achieve the workable load assessment and load prioritization for sustainable development of micro-hybrid renewable energy systems in rural areas is highlighted.","PeriodicalId":371237,"journal":{"name":"2022 IEEE PES/IAS PowerAfrica","volume":"73 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":"129273157","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}

引用次数: 0

Bi-directional soft-linking between a whole energy system model and a power systems model 整个能源系统模型与电力系统模型之间的双向软连接

2022 IEEE PES/IAS PowerAfrica Pub Date : 2022-08-22 DOI: 10.1109/PowerAfrica53997.2022.9905392

Matija Pavičević, Paolo Thiran, G. Limpens, F. Contino, H. Jeanmart, S. Quoilin

引用次数: 0

Forecasting of Monthly Hydroelectric and Solar Energy in Rwanda using SARIMA 利用SARIMA对卢旺达每月水电和太阳能进行预测

2022 IEEE PES/IAS PowerAfrica Pub Date : 2022-08-22 DOI: 10.1109/PowerAfrica53997.2022.9905311

Grace Oluwaseun Shoaga, A. Ikuzwe, Angad Gupta

引用次数: 1

Analysis of Hybrid Energy Storage Systems for Grid Connected Solar PV Source: A Review 并网太阳能光伏源混合储能系统分析综述

2022 IEEE PES/IAS PowerAfrica Pub Date : 2022-08-22 DOI: 10.1109/PowerAfrica53997.2022.9905249

Daniel N. Kagichu, Peter Musau Moses, C. M. Kiruki

引用次数: 0

A Neural Network-based Online Estimation of Stochastic Inertia in a Power System 基于神经网络的电力系统随机惯性在线估计

2022 IEEE PES/IAS PowerAfrica Pub Date : 2022-08-22 DOI: 10.1109/PowerAfrica53997.2022.9905270

Daniel Angelo Kisinga, Peter Makolo, P. Trodden

{"title":"A Neural Network-based Online Estimation of Stochastic Inertia in a Power System","authors":"Daniel Angelo Kisinga, Peter Makolo, P. Trodden","doi":"10.1109/PowerAfrica53997.2022.9905270","DOIUrl":"https://doi.org/10.1109/PowerAfrica53997.2022.9905270","url":null,"abstract":"Inertia provides a first line of defence against frequency contingencies in a power system. It limits the rate of change of frequency (RoCoF) and provides significant time for the operation of primary frequency control, in particular governor control. This ensures adherence to frequency excursion limits as specified in the grid codes and, hence, power system frequency stability is preserved. Conventionally, inertia has been provided by synchronous generators (SGs). In modern power systems, SGs are being replaced with inertia-less stochastic renewable energy resources (RES). Penetration of RES into power systems results in a low and time-varying inertia, which potentially exposes the power system to the risks of blackouts caused by frequency instability. This calls for the online estimation of inertia to aid the design of adaptive protection schemes for the prevention of frequency instabilities. Therefore, this paper proposes an artificial neural network (ANN) based approach to estimate power system inertia. The approach can estimate inertia under both transient and ambient conditions. Moreover, the method is computationally inexpensive and explicitly extracts inertia which is an added advantage over most modal-based estimation approaches.","PeriodicalId":371237,"journal":{"name":"2022 IEEE PES/IAS PowerAfrica","volume":"40 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":"124328690","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}

引用次数: 1

Money and Power: The Impact of Tariff Structures on Electricity Consumption in Solar Microgrids in Africa 金钱与权力:关税结构对非洲太阳能微电网用电的影响

2022 IEEE PES/IAS PowerAfrica Pub Date : 2022-08-22 DOI: 10.1109/PowerAfrica53997.2022.9905330

T. Raji, Lefu Maqelepo, Nathaniel J. Williams, Anderson Bett

引用次数: 0

A Global Daily Solar Photovoltaic Load Coverage Factor Map for Passenger Electric Vehicles 乘用电动汽车全球日太阳能光伏负荷覆盖因子图

2022 IEEE PES/IAS PowerAfrica Pub Date : 2022-08-22 DOI: 10.1109/PowerAfrica53997.2022.9905364

Michelle Wilber, E. Whitney, C. Haupert

{"title":"A Global Daily Solar Photovoltaic Load Coverage Factor Map for Passenger Electric Vehicles","authors":"Michelle Wilber, E. Whitney, C. Haupert","doi":"10.1109/PowerAfrica53997.2022.9905364","DOIUrl":"https://doi.org/10.1109/PowerAfrica53997.2022.9905364","url":null,"abstract":"The electrification of transportation is well under way in many parts of the world. However, rural areas, especially those lacking robust electric grid and other infrastructure, are still investigating what it takes to ensure the switch to electric vehicles (EVs) is broadly beneficial and equitable, as well as technologically feasible. For instance, Africa and the Arctic share a challenge of having limits to electrical grid connectivity and capacity, and islanded microgrids are common in both places. Renewable energy generation, such as solar photovoltaics (PV), could be paired with EV charging to help supply the needed energy. To investigate the ability of solar PV to meet this load in different global locations, a daily Load Coverage Factor (LCF) is calculated for an equal amount of installed solar PV capacity and daily driving distance for different global locations and plotted on a map. Regions with lower local insolation and lower winter temperatures have lower LCFs. Generally the global south, including Africa, seems to have a clear advantage in powering electrified transportation with solar PV generation. Specifically, LCFs above 0.8 are common in Africa and other areas of the global south, indicating that over 80% of the daily energy need of an EV driven 30 kilometers per day could be met by 1 kilowatt of installed solar PV.","PeriodicalId":371237,"journal":{"name":"2022 IEEE PES/IAS PowerAfrica","volume":"652 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":"132994350","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}

引用次数: 0