Reliability Evaluation of Renewable Power Systems through Distribution Network Power Outage Modelling
Intermittent power interruptions and blackouts with long outage durations are very common, especially on weak distribution grids such as in developing countries. This paper proposes a hybrid photovoltaic (PV)-battery-system sizing optimization through a genetic algorithm to address the reliability i...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/11/3225 |
| _version_ | 1797531797217607680 |
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| author | Fitsum Salehu Kebede Jean-Christophe Olivier Salvy Bourguet Mohamed Machmoum |
| author_facet | Fitsum Salehu Kebede Jean-Christophe Olivier Salvy Bourguet Mohamed Machmoum |
| author_sort | Fitsum Salehu Kebede |
| collection | DOAJ |
| description | Intermittent power interruptions and blackouts with long outage durations are very common, especially on weak distribution grids such as in developing countries. This paper proposes a hybrid photovoltaic (PV)-battery-system sizing optimization through a genetic algorithm to address the reliability in fragile grids measured by the loss of power supply probability (<i>LPSP</i>) index. Recorded historical outage data from a real stochastic grid in Ethiopia and measured customer load is used. The resulting hybrid-system Pareto solutions give the flexibility for customers/power utilities to choose appropriate sizes based on the required reliability level. To evaluate the sizing solutions’ robustness, this work considers and compares grid outage modeling through two different approaches. The first is a Markov model, developed to be minimally implemented with limited outage data available. The second is a Weibull model, commonly used to describe extreme phenomena and failure analysis. It is more faithful in reproducing the dispersion of outage events. Using these models, the effectiveness and performance of the PV-battery system is verified on a large number of simulated outage scenarios, to estimate the real performance of the optimized design. It leads to a more accurate evaluation of the behavior of a renewable power system to a weak and unreliable electrical grid. |
| first_indexed | 2024-03-10T10:49:50Z |
| format | Article |
| id | doaj.art-784b9f7346a74f6cb23a61531531644f |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T10:49:50Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-784b9f7346a74f6cb23a61531531644f2023-11-21T22:19:04ZengMDPI AGEnergies1996-10732021-05-011411322510.3390/en14113225Reliability Evaluation of Renewable Power Systems through Distribution Network Power Outage ModellingFitsum Salehu Kebede0Jean-Christophe Olivier1Salvy Bourguet2Mohamed Machmoum3Laboratoire IREENA, Université de Nantes, 37 Boulevard de l’Université BP 406, 44602 Saint-Nazaire, FranceLaboratoire IREENA, Université de Nantes, 37 Boulevard de l’Université BP 406, 44602 Saint-Nazaire, FranceLaboratoire IREENA, Université de Nantes, 37 Boulevard de l’Université BP 406, 44602 Saint-Nazaire, FranceLaboratoire IREENA, Université de Nantes, 37 Boulevard de l’Université BP 406, 44602 Saint-Nazaire, FranceIntermittent power interruptions and blackouts with long outage durations are very common, especially on weak distribution grids such as in developing countries. This paper proposes a hybrid photovoltaic (PV)-battery-system sizing optimization through a genetic algorithm to address the reliability in fragile grids measured by the loss of power supply probability (<i>LPSP</i>) index. Recorded historical outage data from a real stochastic grid in Ethiopia and measured customer load is used. The resulting hybrid-system Pareto solutions give the flexibility for customers/power utilities to choose appropriate sizes based on the required reliability level. To evaluate the sizing solutions’ robustness, this work considers and compares grid outage modeling through two different approaches. The first is a Markov model, developed to be minimally implemented with limited outage data available. The second is a Weibull model, commonly used to describe extreme phenomena and failure analysis. It is more faithful in reproducing the dispersion of outage events. Using these models, the effectiveness and performance of the PV-battery system is verified on a large number of simulated outage scenarios, to estimate the real performance of the optimized design. It leads to a more accurate evaluation of the behavior of a renewable power system to a weak and unreliable electrical grid.https://www.mdpi.com/1996-1073/14/11/3225distributed generationdistribution networkgrid outage/interruptionoutage predictionPV-batteryreliability modeling |
| spellingShingle | Fitsum Salehu Kebede Jean-Christophe Olivier Salvy Bourguet Mohamed Machmoum Reliability Evaluation of Renewable Power Systems through Distribution Network Power Outage Modelling Energies distributed generation distribution network grid outage/interruption outage prediction PV-battery reliability modeling |
| title | Reliability Evaluation of Renewable Power Systems through Distribution Network Power Outage Modelling |
| title_full | Reliability Evaluation of Renewable Power Systems through Distribution Network Power Outage Modelling |
| title_fullStr | Reliability Evaluation of Renewable Power Systems through Distribution Network Power Outage Modelling |
| title_full_unstemmed | Reliability Evaluation of Renewable Power Systems through Distribution Network Power Outage Modelling |
| title_short | Reliability Evaluation of Renewable Power Systems through Distribution Network Power Outage Modelling |
| title_sort | reliability evaluation of renewable power systems through distribution network power outage modelling |
| topic | distributed generation distribution network grid outage/interruption outage prediction PV-battery reliability modeling |
| url | https://www.mdpi.com/1996-1073/14/11/3225 |
| work_keys_str_mv | AT fitsumsalehukebede reliabilityevaluationofrenewablepowersystemsthroughdistributionnetworkpoweroutagemodelling AT jeanchristopheolivier reliabilityevaluationofrenewablepowersystemsthroughdistributionnetworkpoweroutagemodelling AT salvybourguet reliabilityevaluationofrenewablepowersystemsthroughdistributionnetworkpoweroutagemodelling AT mohamedmachmoum reliabilityevaluationofrenewablepowersystemsthroughdistributionnetworkpoweroutagemodelling |