Pub Date : 2019-08-01DOI: 10.1109/PowerAfrica.2019.8928636
Joseph Olufemi Dadam
The deregulation of electricity market in Nigeria has opened up the requirement for information exchange among the market players in order to guarantee the reliability and security of the interconnected power system. Information and data exchange in heterogeneous data environment of the diverse market players are difficult due different data model and organization. This paper presents a bottom-up modeling approach of information exchange system for Nigerian deregulated electric power market using Multi-Agents System (MAS). To construct the MAS system, the functionalities of the agents, the interactions among the agents, and agent architecture are designed. A MAS for data communication based on the proposed architecture is an effective way of integrating heterogeneous data sources from the diverse players in the electricity market in Nigeria. MAS is well suitable for considering different scenarios of information exchange among market players as well as testing different requirements of information exchange in the electricity market.
{"title":"A Multi-Agent System Architecture for Deregulated Electricity Market Communications in Nigeria","authors":"Joseph Olufemi Dadam","doi":"10.1109/PowerAfrica.2019.8928636","DOIUrl":"https://doi.org/10.1109/PowerAfrica.2019.8928636","url":null,"abstract":"The deregulation of electricity market in Nigeria has opened up the requirement for information exchange among the market players in order to guarantee the reliability and security of the interconnected power system. Information and data exchange in heterogeneous data environment of the diverse market players are difficult due different data model and organization. This paper presents a bottom-up modeling approach of information exchange system for Nigerian deregulated electric power market using Multi-Agents System (MAS). To construct the MAS system, the functionalities of the agents, the interactions among the agents, and agent architecture are designed. A MAS for data communication based on the proposed architecture is an effective way of integrating heterogeneous data sources from the diverse players in the electricity market in Nigeria. MAS is well suitable for considering different scenarios of information exchange among market players as well as testing different requirements of information exchange in the electricity market.","PeriodicalId":308661,"journal":{"name":"2019 IEEE PES/IAS PowerAfrica","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133198861","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}
Pub Date : 2019-08-01DOI: 10.1109/PowerAfrica.2019.8928766
O. Babayomi, Abubakar U. Makarfi
This paper presents a review of the state of the art of energy efficiency in unmanned aircraft systems. Key characteristics include the dominance of battery-powered small and micro-unmanned aircraft, micro-turbine powered micro unmanned aircraft and gas turbine-powered large unmanned aircraft. Key development trends include the improvement of fuel cell technologies for usability in unmanned aircraft systems and improved composite structures for lighter weight unmanned aircraft. Key current issues such as the specific energy density and power of all the available propulsion types are highlighted. The paper concludes with a discussion of expected future trends in the efficiency of unmanned aircraft propulsion during coming years.
{"title":"Energy Efficiency in Unmanned Aircraft Systems: A Review","authors":"O. Babayomi, Abubakar U. Makarfi","doi":"10.1109/PowerAfrica.2019.8928766","DOIUrl":"https://doi.org/10.1109/PowerAfrica.2019.8928766","url":null,"abstract":"This paper presents a review of the state of the art of energy efficiency in unmanned aircraft systems. Key characteristics include the dominance of battery-powered small and micro-unmanned aircraft, micro-turbine powered micro unmanned aircraft and gas turbine-powered large unmanned aircraft. Key development trends include the improvement of fuel cell technologies for usability in unmanned aircraft systems and improved composite structures for lighter weight unmanned aircraft. Key current issues such as the specific energy density and power of all the available propulsion types are highlighted. The paper concludes with a discussion of expected future trends in the efficiency of unmanned aircraft propulsion during coming years.","PeriodicalId":308661,"journal":{"name":"2019 IEEE PES/IAS PowerAfrica","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133273344","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}
Pub Date : 2019-08-01DOI: 10.1109/PowerAfrica.2019.8928751
Akintunde Samson Alayande, Osita U. Omeje, C. Awosope, T. Akinbulire, F. Okafor
This paper focusses on how the operational performance of power system networks can be significantly enhanced based on the topology of the network. This enhancement in the operational performance of the network is achieved through the reactive power injection using the Unified Power Flow Controller (UPFC). The mathematical formulations based on circuit theory are presented. The location for the placement of UPFC is determined using an index termed Network Branch Index (NBI). Based on the suitable locations identified using NBI, the influence of UPFC on the operational performance, such as voltage magnitude at every bus of the network and network transmission loss is investigated. A 6-bus system is used to demonstrate the effectiveness of the approach. The simulations are carried out using Power System Analysis Toolbox (PSAT) in the MATLAB environment. The dynamic behavior of the network is investigated when the identified critical line is subjected to contingency analysis. The results obtained show the capability of the NBI technique and also show that there is a significant enhancement in the voltage profile of the network as well as a significant reduction in the transmission line loss when UPFC is placed based on the location identified by the NBI. The results obtained from this study show the role of the network topology in identifying a suitable location for reactive power injections, through FACTS devices, within power systems.
{"title":"On the Enhancement of Power System Operational Performance Through UPFC: A Topological-Based Approach","authors":"Akintunde Samson Alayande, Osita U. Omeje, C. Awosope, T. Akinbulire, F. Okafor","doi":"10.1109/PowerAfrica.2019.8928751","DOIUrl":"https://doi.org/10.1109/PowerAfrica.2019.8928751","url":null,"abstract":"This paper focusses on how the operational performance of power system networks can be significantly enhanced based on the topology of the network. This enhancement in the operational performance of the network is achieved through the reactive power injection using the Unified Power Flow Controller (UPFC). The mathematical formulations based on circuit theory are presented. The location for the placement of UPFC is determined using an index termed Network Branch Index (NBI). Based on the suitable locations identified using NBI, the influence of UPFC on the operational performance, such as voltage magnitude at every bus of the network and network transmission loss is investigated. A 6-bus system is used to demonstrate the effectiveness of the approach. The simulations are carried out using Power System Analysis Toolbox (PSAT) in the MATLAB environment. The dynamic behavior of the network is investigated when the identified critical line is subjected to contingency analysis. The results obtained show the capability of the NBI technique and also show that there is a significant enhancement in the voltage profile of the network as well as a significant reduction in the transmission line loss when UPFC is placed based on the location identified by the NBI. The results obtained from this study show the role of the network topology in identifying a suitable location for reactive power injections, through FACTS devices, within power systems.","PeriodicalId":308661,"journal":{"name":"2019 IEEE PES/IAS PowerAfrica","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131025876","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}
Pub Date : 2019-08-01DOI: 10.1109/PowerAfrica.2019.8928809
P. Imohi, A. Melodi
Composition of algorithms in view of providing residential customers with a smart means of optimal power source and distribution management is considered in this paper. By data survey and statistical algorithm, load profiles of conventional apartments in a Nigerian setting are modelled. Thereafter, an algorithm for optimal selection of a source, out of three specified for a residential apartment, is composed and presented. The selection is based on availability and quality criteria. Furthermore, a counterpart algorithm for optimal distribution of available power using source capacity and loading restriction criteria is developed. The algorithms are implemented and evaluated in MATLAB for critical scenarios. The simulations demonstrated the effectiveness of the algorithms, if deployed.
{"title":"A Model Algorithm for Smart Power Supply and Distribution in Residential Building","authors":"P. Imohi, A. Melodi","doi":"10.1109/PowerAfrica.2019.8928809","DOIUrl":"https://doi.org/10.1109/PowerAfrica.2019.8928809","url":null,"abstract":"Composition of algorithms in view of providing residential customers with a smart means of optimal power source and distribution management is considered in this paper. By data survey and statistical algorithm, load profiles of conventional apartments in a Nigerian setting are modelled. Thereafter, an algorithm for optimal selection of a source, out of three specified for a residential apartment, is composed and presented. The selection is based on availability and quality criteria. Furthermore, a counterpart algorithm for optimal distribution of available power using source capacity and loading restriction criteria is developed. The algorithms are implemented and evaluated in MATLAB for critical scenarios. The simulations demonstrated the effectiveness of the algorithms, if deployed.","PeriodicalId":308661,"journal":{"name":"2019 IEEE PES/IAS PowerAfrica","volume":" 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113950652","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}
Pub Date : 2019-08-01DOI: 10.1109/PowerAfrica.2019.8928642
Chukwuemeka Chiatula, B. Saka, Thomas Sadiq, Steve A. Adeshina, J. Tsado
The growing awareness of carbon emissions in power generation, increased electricity demand and difficulties in the integration of renewable energy into the grid cannot be overlooked. This calls for the development of a more flexible and controllable grid called the Smart Grid. This paper gives an overview of the different Smart Grid agents such as Advanced Metering Infrastructure (AMI), Renewable Energy, Improved Transmission Applications, Plug-in Hybrid Electric Vehicle (PHEV) and Grid Management Systems. These agents were placed in phases to show the different progressive stages of the Smart Grid integration into the existing power system. The impact of the transformation of the existing power grid to the future grid was broken down into three stages: The end-user experience sphere, smart grid sphere and systems sphere. Defining these stages in smart grid maturity will give us a concept of a pathway towards achieving the solution goals of an intelligent grid.
{"title":"The Smart Way","authors":"Chukwuemeka Chiatula, B. Saka, Thomas Sadiq, Steve A. Adeshina, J. Tsado","doi":"10.1109/PowerAfrica.2019.8928642","DOIUrl":"https://doi.org/10.1109/PowerAfrica.2019.8928642","url":null,"abstract":"The growing awareness of carbon emissions in power generation, increased electricity demand and difficulties in the integration of renewable energy into the grid cannot be overlooked. This calls for the development of a more flexible and controllable grid called the Smart Grid. This paper gives an overview of the different Smart Grid agents such as Advanced Metering Infrastructure (AMI), Renewable Energy, Improved Transmission Applications, Plug-in Hybrid Electric Vehicle (PHEV) and Grid Management Systems. These agents were placed in phases to show the different progressive stages of the Smart Grid integration into the existing power system. The impact of the transformation of the existing power grid to the future grid was broken down into three stages: The end-user experience sphere, smart grid sphere and systems sphere. Defining these stages in smart grid maturity will give us a concept of a pathway towards achieving the solution goals of an intelligent grid.","PeriodicalId":308661,"journal":{"name":"2019 IEEE PES/IAS PowerAfrica","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122643894","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}
Pub Date : 2019-08-01DOI: 10.1109/PowerAfrica.2019.8928756
A. Airoboman, E. A. Ogujor, R. Edokpia
Engineering systems are usually prone to failure especially if the nature and quality of maintenance adopted in the system is questionable. Although, there exists maintenance department saddled with the responsibility of identifying and clearing of failures within the network, however, the rate of failure as a result of poor maintenance which is visible in the form of weak distribution line, low voltage profile and poor protection in the network is on the increase. Maintenance is yet to be seen as a product by systems operator/manager hence, only limited resources is deployed to it. In this paper, therefore, the Feeders Stationary Point FSP was determined using the Markovian model. The obtained results show that GRA, Guinness, Koko, Switchstation and Ikpoba-dam feeders will approach their FSPs at 98.9%, 87%, and 87.1%, 93% and 93.8% respectively. At this point, the behavior of the feeders is said to be at its optimal level with respect to the maintenance resources deployed to it. The results from the paper will not only be useful in the Nigerian Power System Network (NPSN) but also in military engineering and all engineering systems where failure data are available.
{"title":"Using Markov Indices to determine Stationary Point on the 33kv Feeders Emanating from TCN Benin City","authors":"A. Airoboman, E. A. Ogujor, R. Edokpia","doi":"10.1109/PowerAfrica.2019.8928756","DOIUrl":"https://doi.org/10.1109/PowerAfrica.2019.8928756","url":null,"abstract":"Engineering systems are usually prone to failure especially if the nature and quality of maintenance adopted in the system is questionable. Although, there exists maintenance department saddled with the responsibility of identifying and clearing of failures within the network, however, the rate of failure as a result of poor maintenance which is visible in the form of weak distribution line, low voltage profile and poor protection in the network is on the increase. Maintenance is yet to be seen as a product by systems operator/manager hence, only limited resources is deployed to it. In this paper, therefore, the Feeders Stationary Point FSP was determined using the Markovian model. The obtained results show that GRA, Guinness, Koko, Switchstation and Ikpoba-dam feeders will approach their FSPs at 98.9%, 87%, and 87.1%, 93% and 93.8% respectively. At this point, the behavior of the feeders is said to be at its optimal level with respect to the maintenance resources deployed to it. The results from the paper will not only be useful in the Nigerian Power System Network (NPSN) but also in military engineering and all engineering systems where failure data are available.","PeriodicalId":308661,"journal":{"name":"2019 IEEE PES/IAS PowerAfrica","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128335451","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}
Pub Date : 2019-08-01DOI: 10.1109/PowerAfrica.2019.8928629
I. O. Ozioko, Chinweike Okoli, N. G. Ajah, N. S. Ugwuanyi
Flexible Alternating Current Transmission System (FACTS) recently has proved to be economical with high efficiency in stabilizing electrical power and voltage of power systems without investing on establishing new network. However FACTS performance depends largely on it’s optimal location in the network. This work has investigated the contribution of STATCOM to the performance of 28-bus, 330kV Nigeria power system. The results were presented for both base case and after the compensation using PSSE software. Base case and after the application of 3 X 100MVA STATCOM recorded a respective power loss of 91.28MW and 71.07MW which shows 20.21% reduction in power loss. Five buses (New Haven, Onitsha, Gombe, Jos and Kano) recorded (0.8580, 0.8833, 0.7376, 0.8875, and 0.8847) p.u respectively which fell outside the voltage limit of ±5% used.The buses were respectively improved to 1.0 p.u after compensation. Our results show better improvement compared to previous work on the same network.
{"title":"Enhancement of Power System Transmission Using Static Synchronous Compensator (STATCOM)","authors":"I. O. Ozioko, Chinweike Okoli, N. G. Ajah, N. S. Ugwuanyi","doi":"10.1109/PowerAfrica.2019.8928629","DOIUrl":"https://doi.org/10.1109/PowerAfrica.2019.8928629","url":null,"abstract":"Flexible Alternating Current Transmission System (FACTS) recently has proved to be economical with high efficiency in stabilizing electrical power and voltage of power systems without investing on establishing new network. However FACTS performance depends largely on it’s optimal location in the network. This work has investigated the contribution of STATCOM to the performance of 28-bus, 330kV Nigeria power system. The results were presented for both base case and after the compensation using PSSE software. Base case and after the application of 3 X 100MVA STATCOM recorded a respective power loss of 91.28MW and 71.07MW which shows 20.21% reduction in power loss. Five buses (New Haven, Onitsha, Gombe, Jos and Kano) recorded (0.8580, 0.8833, 0.7376, 0.8875, and 0.8847) p.u respectively which fell outside the voltage limit of ±5% used.The buses were respectively improved to 1.0 p.u after compensation. Our results show better improvement compared to previous work on the same network.","PeriodicalId":308661,"journal":{"name":"2019 IEEE PES/IAS PowerAfrica","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126196980","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}
Pub Date : 2019-08-01DOI: 10.1109/PowerAfrica.2019.8928633
K. Moloi, A. Akumu
Fault detection, classification and estimation in power systems is one of the most critical aspects of the engineering society. This goes beyond engineering factors to economic implications. Thus, proper applications of protection schemes are required to minimize the equipment damage resulting from a fault. This paper presents a method which tries to proactively detect, classify and estimate the position of the fault. A simplified two bus 132 kV system is modelled to study the effect of the proposed fault diagnostic method. The proposed method has a fault feature extraction technique done by stationary wavelet transform (SWT) on the fault signal. Relevance Vector Machine (RVM) and Support vector machine (SVM) schemes are applied for fault classification and detection. Fault location along the distribution line is achieved by using Support Vector Regression (SVR). The proposed method comprises of SWT-RVM and SVR schemes and tested using MATLAB.
{"title":"Power distribution fault diagnostic method based on machine learning technique","authors":"K. Moloi, A. Akumu","doi":"10.1109/PowerAfrica.2019.8928633","DOIUrl":"https://doi.org/10.1109/PowerAfrica.2019.8928633","url":null,"abstract":"Fault detection, classification and estimation in power systems is one of the most critical aspects of the engineering society. This goes beyond engineering factors to economic implications. Thus, proper applications of protection schemes are required to minimize the equipment damage resulting from a fault. This paper presents a method which tries to proactively detect, classify and estimate the position of the fault. A simplified two bus 132 kV system is modelled to study the effect of the proposed fault diagnostic method. The proposed method has a fault feature extraction technique done by stationary wavelet transform (SWT) on the fault signal. Relevance Vector Machine (RVM) and Support vector machine (SVM) schemes are applied for fault classification and detection. Fault location along the distribution line is achieved by using Support Vector Regression (SVR). The proposed method comprises of SWT-RVM and SVR schemes and tested using MATLAB.","PeriodicalId":308661,"journal":{"name":"2019 IEEE PES/IAS PowerAfrica","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125151921","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}
Pub Date : 2019-08-01DOI: 10.1109/PowerAfrica.2019.8928645
O. Ogunrinde, E. Shittu, M. Bello, I. Davidson
To address the gross deficit in electricity demand and supply in Nigeria requires a pragmatic and sequential approach to expanding generation capacity. Numerous studies have expatiated on the underlying problems with solution strategies that are comprehensive. However, many of those suggested solutions are either too steep cost-wise or the system is limited in the adaptive capacity to incorporate them. This paper proffers a stepped approach at expanding the capacity of supply as a function of the energy locational distance of the states and regions in the country. In this research, we interpret energy locational distance as a measure that is derived from the answer to two questions. First, how much is generation below the output capacity of the existing generating plants that are stationed across the country serving the national grid? Second, what is the minimum threshold of capacity expansion to achieve a set energy density or energy per person index across the regions of the country differentiated by energy poverty? With this exploration, energy planners in Nigeria, rather than seeking to address the dearth of electricity supply in the country in one step, could consider a piecemeal approach that indeed offers tremendous and relatively significant expansions in capacity. This outcome offers guidance to policy makers and investors on how to craft their investment efforts in a manner that is akin to viewing the problem at the proverbial context of effecting changes at the tree level rather than seeking to change the forest.
{"title":"Exploring the Demand-Supply Gap of Electricity in Nigeria: Locational Evaluation for Capacity Expansions","authors":"O. Ogunrinde, E. Shittu, M. Bello, I. Davidson","doi":"10.1109/PowerAfrica.2019.8928645","DOIUrl":"https://doi.org/10.1109/PowerAfrica.2019.8928645","url":null,"abstract":"To address the gross deficit in electricity demand and supply in Nigeria requires a pragmatic and sequential approach to expanding generation capacity. Numerous studies have expatiated on the underlying problems with solution strategies that are comprehensive. However, many of those suggested solutions are either too steep cost-wise or the system is limited in the adaptive capacity to incorporate them. This paper proffers a stepped approach at expanding the capacity of supply as a function of the energy locational distance of the states and regions in the country. In this research, we interpret energy locational distance as a measure that is derived from the answer to two questions. First, how much is generation below the output capacity of the existing generating plants that are stationed across the country serving the national grid? Second, what is the minimum threshold of capacity expansion to achieve a set energy density or energy per person index across the regions of the country differentiated by energy poverty? With this exploration, energy planners in Nigeria, rather than seeking to address the dearth of electricity supply in the country in one step, could consider a piecemeal approach that indeed offers tremendous and relatively significant expansions in capacity. This outcome offers guidance to policy makers and investors on how to craft their investment efforts in a manner that is akin to viewing the problem at the proverbial context of effecting changes at the tree level rather than seeking to change the forest.","PeriodicalId":308661,"journal":{"name":"2019 IEEE PES/IAS PowerAfrica","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127565740","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}
Pub Date : 2019-08-01DOI: 10.1109/PowerAfrica46609.2019.9078668
Adekitan A.I, Olajube A.A, Samuel I.A
The availability and reliability of power supply are vital to socioeconomic development. Nigeria is the most populous country in Africa with electrical power generation that is just a fragment of the energy demands of the populace. In this study, we analyzed the trend of power generation and losses in the Nigerian power system. The average peak power generated over the study period is just 4229.39MW which is approximately 23.5MW per million people. This is meagre when compared with about 500MW per million people in South Africa. Therefore, adequate and sustainable effort are required in terms of investment and management at the generation, transmission and distribution levels toward ensuring improved power supply in Nigeria. There is a need to introduce renewable energy sources into the energy mix at the national level in order to reduce environmental pollution, and also to promote the use of sustainable alternative energy sources at the household and industrial level which will stimulate private sector participation through the establishment of commercial energy farms.
{"title":"Data-based Analysis of Power Generation and Transmission Losses in Nigeria","authors":"Adekitan A.I, Olajube A.A, Samuel I.A","doi":"10.1109/PowerAfrica46609.2019.9078668","DOIUrl":"https://doi.org/10.1109/PowerAfrica46609.2019.9078668","url":null,"abstract":"The availability and reliability of power supply are vital to socioeconomic development. Nigeria is the most populous country in Africa with electrical power generation that is just a fragment of the energy demands of the populace. In this study, we analyzed the trend of power generation and losses in the Nigerian power system. The average peak power generated over the study period is just 4229.39MW which is approximately 23.5MW per million people. This is meagre when compared with about 500MW per million people in South Africa. Therefore, adequate and sustainable effort are required in terms of investment and management at the generation, transmission and distribution levels toward ensuring improved power supply in Nigeria. There is a need to introduce renewable energy sources into the energy mix at the national level in order to reduce environmental pollution, and also to promote the use of sustainable alternative energy sources at the household and industrial level which will stimulate private sector participation through the establishment of commercial energy farms.","PeriodicalId":308661,"journal":{"name":"2019 IEEE PES/IAS PowerAfrica","volume":"325 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122027575","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}
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