Pub Date : 2016-09-01DOI: 10.1109/POWERAFRICA.2016.7556575
P. Dauenhauer, D. Frame
Over the past decade, promotion of innovative models for distributed renewable energy supply in developing countries has grown considerably. International plans to meet goals of universal energy access and increased use of renewables depend on the success of these projects. This paper considers the community energy model demonstrated in the Malawi Renewable Energy Acceleration Programme (MREAP). Initial indications suggest a significant improvement in the sustainability prospects of the associated community energy projects at the cost of a higher investment in the development process. The potential of the model is clear, yet the systematic challenges to sustainability for off-grid systems in Malawi require an ongoing support mechanism for communities, ostensibly through a district energy office.
{"title":"Critical review of the Malawi community energy model","authors":"P. Dauenhauer, D. Frame","doi":"10.1109/POWERAFRICA.2016.7556575","DOIUrl":"https://doi.org/10.1109/POWERAFRICA.2016.7556575","url":null,"abstract":"Over the past decade, promotion of innovative models for distributed renewable energy supply in developing countries has grown considerably. International plans to meet goals of universal energy access and increased use of renewables depend on the success of these projects. This paper considers the community energy model demonstrated in the Malawi Renewable Energy Acceleration Programme (MREAP). Initial indications suggest a significant improvement in the sustainability prospects of the associated community energy projects at the cost of a higher investment in the development process. The potential of the model is clear, yet the systematic challenges to sustainability for off-grid systems in Malawi require an ongoing support mechanism for communities, ostensibly through a district energy office.","PeriodicalId":177444,"journal":{"name":"2016 IEEE PES PowerAfrica","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127544285","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 : 2016-09-01DOI: 10.1109/POWERAFRICA.2016.7556577
H. Louie, G. Goldsmith, P. Dauenhauer, R. Almeida
Off-grid systems are a pathway to electrification for millions of people located far from the existing grid. However, the premature failure and underutilization of these systems are difficult to prevent. Advances in data acquisition hardware, the expansion of cellular communication networks and cloud-based solutions have made data collection, monitoring, archival and even remote interaction with off-grid systems a possibility. The co-installation of data acquisition hardware with off-grid systems is not a wide-spread practice, and use cases of the data have not been popularized. This paper discusses the technology, applications and considerations related to off-grid data acquisition and monitoring. Data from several off-grid systems in Sub-Saharan Africa are used to illustrate the applications.
{"title":"Issues and applications of real-time data from off-grid electrical systems","authors":"H. Louie, G. Goldsmith, P. Dauenhauer, R. Almeida","doi":"10.1109/POWERAFRICA.2016.7556577","DOIUrl":"https://doi.org/10.1109/POWERAFRICA.2016.7556577","url":null,"abstract":"Off-grid systems are a pathway to electrification for millions of people located far from the existing grid. However, the premature failure and underutilization of these systems are difficult to prevent. Advances in data acquisition hardware, the expansion of cellular communication networks and cloud-based solutions have made data collection, monitoring, archival and even remote interaction with off-grid systems a possibility. The co-installation of data acquisition hardware with off-grid systems is not a wide-spread practice, and use cases of the data have not been popularized. This paper discusses the technology, applications and considerations related to off-grid data acquisition and monitoring. Data from several off-grid systems in Sub-Saharan Africa are used to illustrate the applications.","PeriodicalId":177444,"journal":{"name":"2016 IEEE PES PowerAfrica","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130411038","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 : 2016-06-01DOI: 10.1109/POWERAFRICA.2016.7556616
M. Musau, N. Odero, C. Wekesa
In this paper, a fully-constrained five objective multi objective dynamic economic emission dispatch (MODEED) problem with thermal, wind, solar, line losses and emissions is considered. More accurate cubic cost functions for thermal, losses and emissions objectives and high potential renewable energy (RE) have been used. Modified Firefly Algorithm with Levy Flights and Derived Mutation (MFA-LF-DM) illustrates the optimization of MODEED on IEEE 6-unit system. MATLAB simulation results reveal that MODEED distributes thermal and renewable power production to optimize fuel cost and pollutants simultaneously. Wind power led to the best reduced emissions, solar resulted in the best reduced cost but RE-mix resulted in optimal cost and emission.
{"title":"Multi objective dynamic economic emission dispatch with renewable energy and emissions","authors":"M. Musau, N. Odero, C. Wekesa","doi":"10.1109/POWERAFRICA.2016.7556616","DOIUrl":"https://doi.org/10.1109/POWERAFRICA.2016.7556616","url":null,"abstract":"In this paper, a fully-constrained five objective multi objective dynamic economic emission dispatch (MODEED) problem with thermal, wind, solar, line losses and emissions is considered. More accurate cubic cost functions for thermal, losses and emissions objectives and high potential renewable energy (RE) have been used. Modified Firefly Algorithm with Levy Flights and Derived Mutation (MFA-LF-DM) illustrates the optimization of MODEED on IEEE 6-unit system. MATLAB simulation results reveal that MODEED distributes thermal and renewable power production to optimize fuel cost and pollutants simultaneously. Wind power led to the best reduced emissions, solar resulted in the best reduced cost but RE-mix resulted in optimal cost and emission.","PeriodicalId":177444,"journal":{"name":"2016 IEEE PES PowerAfrica","volume":"2 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113968983","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 : 2016-06-01DOI: 10.1109/POWERAFRICA.2016.7556563
A. Arzani, Paranietharan Arunagirinathan, Iroshani Jayawardene, G. Venayagamoorthy
Recent studies on Power Electronic Interfaces (PEI) demonstrate that enhanced performance of a PEI can be achieved through optimal tuning of its controller parameters. As an example nowadays, voltage source converters (VSC) are extensively utilized as the interface between DC energy sources and the power system. Photovoltaic (PV) inverters have emerged as one of the most indispensable and widely utilized components in smart grid operations. Considering the complexity, costliness, and possible ineffectuality of PEI conventional manual tuning processes, an automated controller self-tuning approach has been proposed through harnessing the capabilities of particle swarm optimization (PSO), a heuristic optimization method. The multi-megawatt solar PV-plant has been connected to a benchmark two-area four-machine power system. The entire system is simulated using a real-time digital simulator (RTDS). The solar PV plant enhanced performance in conjunction to both improved steady-state and dynamic operation of each of its voltage source inverters (PV-VSI) concludes the effectiveness and benefits of the proposed tuning approach. This enables smoother renewable energy integration, reliable delivery of energy at a lower cost, and further reduced carbon footprints worldwide.
{"title":"Dynamic performance enhancement of a utility-scale solar PV plant","authors":"A. Arzani, Paranietharan Arunagirinathan, Iroshani Jayawardene, G. Venayagamoorthy","doi":"10.1109/POWERAFRICA.2016.7556563","DOIUrl":"https://doi.org/10.1109/POWERAFRICA.2016.7556563","url":null,"abstract":"Recent studies on Power Electronic Interfaces (PEI) demonstrate that enhanced performance of a PEI can be achieved through optimal tuning of its controller parameters. As an example nowadays, voltage source converters (VSC) are extensively utilized as the interface between DC energy sources and the power system. Photovoltaic (PV) inverters have emerged as one of the most indispensable and widely utilized components in smart grid operations. Considering the complexity, costliness, and possible ineffectuality of PEI conventional manual tuning processes, an automated controller self-tuning approach has been proposed through harnessing the capabilities of particle swarm optimization (PSO), a heuristic optimization method. The multi-megawatt solar PV-plant has been connected to a benchmark two-area four-machine power system. The entire system is simulated using a real-time digital simulator (RTDS). The solar PV plant enhanced performance in conjunction to both improved steady-state and dynamic operation of each of its voltage source inverters (PV-VSI) concludes the effectiveness and benefits of the proposed tuning approach. This enables smoother renewable energy integration, reliable delivery of energy at a lower cost, and further reduced carbon footprints worldwide.","PeriodicalId":177444,"journal":{"name":"2016 IEEE PES PowerAfrica","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124490834","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 : 2016-06-01DOI: 10.1109/POWERAFRICA.2016.7556595
E. Namanya, Alfred Waligo, Andrew Ipurale, C. Gaunt, R. Herman
Increasing penetration of distributed or dispersed generation (DG) is transforming low voltage feeders from passive to active, increasing the complexity of ensuring operating conditions comply with regulatory standards for voltage magnitude. The Herman-Beta (HB) transform meets the growing need for tools that accurately replicate passive and active feeder systems with new types of loads and DG. The robust analytic-probabilistic calculation already adopted as the standard for voltage drop calculations for passive feeders in South Africa and Kenya has been modified to calculate voltage variation in active feeders with DG. This paper extends the modified algorithms to a new C# platform, providing a stand-alone open-source program. The input interface enables efficient setting up and editing of all feeders, including multiple branches and up to 1000 nodes. The feeder performance output includes a voltage profile. Examples illustrate how the program simplifies planning and operational studies of practical distribution systems.
{"title":"Voltage calculations program for LV feeders with distributed generation","authors":"E. Namanya, Alfred Waligo, Andrew Ipurale, C. Gaunt, R. Herman","doi":"10.1109/POWERAFRICA.2016.7556595","DOIUrl":"https://doi.org/10.1109/POWERAFRICA.2016.7556595","url":null,"abstract":"Increasing penetration of distributed or dispersed generation (DG) is transforming low voltage feeders from passive to active, increasing the complexity of ensuring operating conditions comply with regulatory standards for voltage magnitude. The Herman-Beta (HB) transform meets the growing need for tools that accurately replicate passive and active feeder systems with new types of loads and DG. The robust analytic-probabilistic calculation already adopted as the standard for voltage drop calculations for passive feeders in South Africa and Kenya has been modified to calculate voltage variation in active feeders with DG. This paper extends the modified algorithms to a new C# platform, providing a stand-alone open-source program. The input interface enables efficient setting up and editing of all feeders, including multiple branches and up to 1000 nodes. The feeder performance output includes a voltage profile. Examples illustrate how the program simplifies planning and operational studies of practical distribution systems.","PeriodicalId":177444,"journal":{"name":"2016 IEEE PES PowerAfrica","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128071171","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 : 2016-06-01DOI: 10.1109/POWERAFRICA.2016.7556598
Nathaniel J. Williams, P. Jaramillo, Jay Taneja
Levels of electricity access in sub-Saharan Africa are low with large populations living far from existing electricity infrastructure. This has led to interest in decentralized electrification solutions like microgrids, which can reach remote communities more quickly. To address a lack of capital to deploy these projects, governments have sought private investment in the sector. Studies have found that hybrid microgrids using both conventional and renewable generators provide electricity at lower cost than diesel powered systems. These studies focus on metrics such as levelized cost of electricity (LCOE) and life cycle cost (LCC) and do not account explicitly for investment risk. This paper employs a stochastic techno-economic model to examine the impact of PV array sizing in microgrids on debt and equity investment metrics like debt service coverage ratio (DSCR) and net present value (NPV) using a risk based approach. Results indicate that high levels of PV penetration mitigate fuel price risks when low-cost capital is available.
{"title":"PV-array sizing in hybrid diesel/PV/battery microgrids under uncertainty","authors":"Nathaniel J. Williams, P. Jaramillo, Jay Taneja","doi":"10.1109/POWERAFRICA.2016.7556598","DOIUrl":"https://doi.org/10.1109/POWERAFRICA.2016.7556598","url":null,"abstract":"Levels of electricity access in sub-Saharan Africa are low with large populations living far from existing electricity infrastructure. This has led to interest in decentralized electrification solutions like microgrids, which can reach remote communities more quickly. To address a lack of capital to deploy these projects, governments have sought private investment in the sector. Studies have found that hybrid microgrids using both conventional and renewable generators provide electricity at lower cost than diesel powered systems. These studies focus on metrics such as levelized cost of electricity (LCOE) and life cycle cost (LCC) and do not account explicitly for investment risk. This paper employs a stochastic techno-economic model to examine the impact of PV array sizing in microgrids on debt and equity investment metrics like debt service coverage ratio (DSCR) and net present value (NPV) using a risk based approach. Results indicate that high levels of PV penetration mitigate fuel price risks when low-cost capital is available.","PeriodicalId":177444,"journal":{"name":"2016 IEEE PES PowerAfrica","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130427200","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 : 2016-06-01DOI: 10.1109/POWERAFRICA.2016.7556558
J. Thornburg, T. Ustun, B. Krogh
Smart grid technology that enables fine-grained monitoring and control of electrical power systems makes it possible to envision new operating strategies and even new business models. Possibilities for leveraging these smart grid tools in the developing world are being explored, particularly with emerging microgrids for rural electrification. In these off-grid systems, smart meters at the residential level are being used to manage the delivery of affordable electricity through novel uses of mobile payments and direct demand-side control at the customer level. In contrast to traditional power systems in the developed world, the available total supply in microgrids, which can incorporate multiple types of generation, is not always sufficient to meet the aggregate demand, even under normal operating conditions. Moreover, both the available supply and the demand are highly variable, limiting the value of deterministic analyses. This paper introduces a simulation tool for assessing the performance of these systems using probabilistic models of supply and demand. A key feature of the tool is the use of stochastic models for the individual loads and supplies, which are aggregated precisely to obtain stochastic models of the system-level behavior. This makes it possible to evaluate and compare system performance for different operating and business strategies that take advantage of the capabilities for fine-grained control. The paper describes the simulator inputs, computations and illustrative results for a case study.
{"title":"Smart microgrid operation simulator for management and electrification planning","authors":"J. Thornburg, T. Ustun, B. Krogh","doi":"10.1109/POWERAFRICA.2016.7556558","DOIUrl":"https://doi.org/10.1109/POWERAFRICA.2016.7556558","url":null,"abstract":"Smart grid technology that enables fine-grained monitoring and control of electrical power systems makes it possible to envision new operating strategies and even new business models. Possibilities for leveraging these smart grid tools in the developing world are being explored, particularly with emerging microgrids for rural electrification. In these off-grid systems, smart meters at the residential level are being used to manage the delivery of affordable electricity through novel uses of mobile payments and direct demand-side control at the customer level. In contrast to traditional power systems in the developed world, the available total supply in microgrids, which can incorporate multiple types of generation, is not always sufficient to meet the aggregate demand, even under normal operating conditions. Moreover, both the available supply and the demand are highly variable, limiting the value of deterministic analyses. This paper introduces a simulation tool for assessing the performance of these systems using probabilistic models of supply and demand. A key feature of the tool is the use of stochastic models for the individual loads and supplies, which are aggregated precisely to obtain stochastic models of the system-level behavior. This makes it possible to evaluate and compare system performance for different operating and business strategies that take advantage of the capabilities for fine-grained control. The paper describes the simulator inputs, computations and illustrative results for a case study.","PeriodicalId":177444,"journal":{"name":"2016 IEEE PES PowerAfrica","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133679857","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 : 2016-06-01DOI: 10.1109/POWERAFRICA.2016.7556571
M. Hijjo, Felix Felgner, J. Meiers, Georg Frey
Ongoing developments in building energy management systems (BEMS) receive a huge consideration by both academia and industry. Specifically, the interest around integrating islanded buildings with renewable energy sources (RES) in addition to the conventionally used diesel generators has grown recently. Obviously, various “Microgrids” are already utilized all over the world for different purposes. In this respect, this work proposes an online Energy Management System (EMS) of an islanded hybrid PV-Battery-Diesel microgrid, while keeping efficient operation conditions of each microgrid component. Indeed, the proposed EMS gives the priority of power supply to RES, however, the battery is essential to assist as a backup power source in case of power outage and to ensure stable operation of the whole system. The Diesel Generator Set (GenSET) is operated in case of low state of charge (SOC) and insufficient generation by RES. A case study of a hospital complex in the Middle East region is chosen to conduct this work. Different operation scenarios with respect to the fuel consumption are considered and the results are listed. Simulation results indicate significant fuel savings in addition to reduction in the total operation time of the diesel GenSET.
{"title":"Energy management for islanded buildings integrating renewables and diesel generators","authors":"M. Hijjo, Felix Felgner, J. Meiers, Georg Frey","doi":"10.1109/POWERAFRICA.2016.7556571","DOIUrl":"https://doi.org/10.1109/POWERAFRICA.2016.7556571","url":null,"abstract":"Ongoing developments in building energy management systems (BEMS) receive a huge consideration by both academia and industry. Specifically, the interest around integrating islanded buildings with renewable energy sources (RES) in addition to the conventionally used diesel generators has grown recently. Obviously, various “Microgrids” are already utilized all over the world for different purposes. In this respect, this work proposes an online Energy Management System (EMS) of an islanded hybrid PV-Battery-Diesel microgrid, while keeping efficient operation conditions of each microgrid component. Indeed, the proposed EMS gives the priority of power supply to RES, however, the battery is essential to assist as a backup power source in case of power outage and to ensure stable operation of the whole system. The Diesel Generator Set (GenSET) is operated in case of low state of charge (SOC) and insufficient generation by RES. A case study of a hospital complex in the Middle East region is chosen to conduct this work. Different operation scenarios with respect to the fuel consumption are considered and the results are listed. Simulation results indicate significant fuel savings in addition to reduction in the total operation time of the diesel GenSET.","PeriodicalId":177444,"journal":{"name":"2016 IEEE PES PowerAfrica","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131309666","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 : 2016-06-01DOI: 10.1109/POWERAFRICA.2016.7556586
Andrew H. Hubble, T. Ustun
With 1.3 billion people lacking access to electricity, the demand for power is increasing drastically. Electricity can no longer be considered a luxury, and is necessary for maintaining a modern life expectancy. This paper explores the feasibility of energy production and storage across South America, South East Asia and sub-Saharan Africa with National Renewable Energy Lab's Geospatial Toolkit and the integrated HOMER interface. Multiple scenarios are constructed based on different community sizes with relative demand and load profiles. Optimization techniques are used to value both traditional generation options (diesel generation), their renewable counterparts (wind and solar), as well as energy storage methods (batteries). Each analysis is based on location-specific irradiance, wind speeds, and fuel prices. Economics remain at the forefront, as a community's ability to purchase the generated power is the centerpiece of this entire investigation. With all three regions in a similar state of development, parallels can be drawn among them. By scrutinizing data from all three continents, similarities can be observed between population density and distribution, their demand and usage of electricity, and purchasing power parity. These similarities can be used to fill gaps in our understanding of how a community may use generated electricity, or how that demand will change over time. This is instrumental in scaling renewable energy based microgrids globally.
{"title":"Scaling renewable energy based microgrids in underserved communities: Latin America, South Asia, and Sub-Saharan Africa","authors":"Andrew H. Hubble, T. Ustun","doi":"10.1109/POWERAFRICA.2016.7556586","DOIUrl":"https://doi.org/10.1109/POWERAFRICA.2016.7556586","url":null,"abstract":"With 1.3 billion people lacking access to electricity, the demand for power is increasing drastically. Electricity can no longer be considered a luxury, and is necessary for maintaining a modern life expectancy. This paper explores the feasibility of energy production and storage across South America, South East Asia and sub-Saharan Africa with National Renewable Energy Lab's Geospatial Toolkit and the integrated HOMER interface. Multiple scenarios are constructed based on different community sizes with relative demand and load profiles. Optimization techniques are used to value both traditional generation options (diesel generation), their renewable counterparts (wind and solar), as well as energy storage methods (batteries). Each analysis is based on location-specific irradiance, wind speeds, and fuel prices. Economics remain at the forefront, as a community's ability to purchase the generated power is the centerpiece of this entire investigation. With all three regions in a similar state of development, parallels can be drawn among them. By scrutinizing data from all three continents, similarities can be observed between population density and distribution, their demand and usage of electricity, and purchasing power parity. These similarities can be used to fill gaps in our understanding of how a community may use generated electricity, or how that demand will change over time. This is instrumental in scaling renewable energy based microgrids globally.","PeriodicalId":177444,"journal":{"name":"2016 IEEE PES PowerAfrica","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126161032","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 : 2016-06-01DOI: 10.1109/POWERAFRICA.2016.7556583
E. Fernández, I. Albizu, A. Javier Mazon, A. Etxegarai, G. Buigues, R. Alberdi
The overhead line rating methods have a double requirement: accuracy and security. A method is accurate if the forecasted rating is close to the actual rating. It is secure if the forecasted rating is lower or equal to the actual rating. This paper compares several overhead line rating methods in terms of accuracy and security based on the results of a pilot project. Indicators for the conductor temperature exceedance and the rating underestimation are used to compare the rating methods. The static rating, the ambient-adjusted rating and the rating based on weather forecasts are analyzed.
{"title":"Power line monitoring for the analysis of overhead line rating forecasting methods","authors":"E. Fernández, I. Albizu, A. Javier Mazon, A. Etxegarai, G. Buigues, R. Alberdi","doi":"10.1109/POWERAFRICA.2016.7556583","DOIUrl":"https://doi.org/10.1109/POWERAFRICA.2016.7556583","url":null,"abstract":"The overhead line rating methods have a double requirement: accuracy and security. A method is accurate if the forecasted rating is close to the actual rating. It is secure if the forecasted rating is lower or equal to the actual rating. This paper compares several overhead line rating methods in terms of accuracy and security based on the results of a pilot project. Indicators for the conductor temperature exceedance and the rating underestimation are used to compare the rating methods. The static rating, the ambient-adjusted rating and the rating based on weather forecasts are analyzed.","PeriodicalId":177444,"journal":{"name":"2016 IEEE PES PowerAfrica","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132027624","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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