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Optimal Dispatch of Unreliable Electric Grid-Connected Diesel Generator-Battery Power Systems
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| Zeitschriftentitel: | International Journal of Emerging Electric Power Systems |
|---|---|
| Personen und Körperschaften: | , |
| In: | International Journal of Emerging Electric Power Systems, 16, 2015, 3, S. 253-263 |
| Format: | E-Article |
| Sprache: | Unbestimmt |
| veröffentlicht: |
Walter de Gruyter GmbH
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| Schlagwörter: |
| author_facet |
Xu, D. Kang, L. Xu, D. Kang, L. |
|---|---|
| author |
Xu, D. Kang, L. |
| spellingShingle |
Xu, D. Kang, L. International Journal of Emerging Electric Power Systems Optimal Dispatch of Unreliable Electric Grid-Connected Diesel Generator-Battery Power Systems Energy Engineering and Power Technology |
| author_sort |
xu, d. |
| spelling |
Xu, D. Kang, L. 2194-5756 1553-779X Walter de Gruyter GmbH Energy Engineering and Power Technology http://dx.doi.org/10.1515/ijeeps-2014-0130 <jats:title>Abstract</jats:title> <jats:p>Diesel generator (DG)-battery power systems are often adopted by telecom operators, especially in semi-urban and rural areas of developing countries. Unreliable electric grids (UEG), which have frequent and lengthy outages, are peculiar to these regions. DG-UEG-battery power system is an important kind of hybrid power system. System dispatch is one of the key factors to hybrid power system integration. In this paper, the system dispatch of a DG-UEG-lead acid battery power system is studied with the UEG of relatively ample electricity in Central African Republic (CAR) and UEG of poor electricity in Congo Republic (CR). The mathematical models of the power system and the UEG are studied for completing the system operation simulation program. The net present cost (NPC) of the power system is the main evaluation index. The state of charge (SOC) set points and battery bank charging current are the optimization variables. For the UEG in CAR, the optimal dispatch solution is SOC start and stop points 0.4 and 0.5 that belong to the Micro-Cycling strategy and charging current 0.1 C. For the UEG in CR, the optimal dispatch solution is of 0.1 and 0.8 that belongs to the Cycle-Charging strategy and 0.1 C. Charging current 0.1 C is suitable for both grid scenarios compared to 0.2 C. It makes the dispatch strategy design easier in commercial practices that there are a few very good candidate dispatch solutions with system NPC values close to that of the optimal solution for both UEG scenarios in CAR and CR.</jats:p> Optimal Dispatch of Unreliable Electric Grid-Connected Diesel Generator-Battery Power Systems International Journal of Emerging Electric Power Systems |
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International Journal of Emerging Electric Power Systems |
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| title |
Optimal Dispatch of Unreliable Electric Grid-Connected Diesel Generator-Battery Power Systems |
| title_unstemmed |
Optimal Dispatch of Unreliable Electric Grid-Connected Diesel Generator-Battery Power Systems |
| title_full |
Optimal Dispatch of Unreliable Electric Grid-Connected Diesel Generator-Battery Power Systems |
| title_fullStr |
Optimal Dispatch of Unreliable Electric Grid-Connected Diesel Generator-Battery Power Systems |
| title_full_unstemmed |
Optimal Dispatch of Unreliable Electric Grid-Connected Diesel Generator-Battery Power Systems |
| title_short |
Optimal Dispatch of Unreliable Electric Grid-Connected Diesel Generator-Battery Power Systems |
| title_sort |
optimal dispatch of unreliable electric grid-connected diesel generator-battery power systems |
| topic |
Energy Engineering and Power Technology |
| url |
http://dx.doi.org/10.1515/ijeeps-2014-0130 |
| publishDate |
2015 |
| physical |
253-263 |
| description |
<jats:title>Abstract</jats:title>
<jats:p>Diesel generator (DG)-battery power systems are often adopted by telecom operators, especially in semi-urban and rural areas of developing countries. Unreliable electric grids (UEG), which have frequent and lengthy outages, are peculiar to these regions. DG-UEG-battery power system is an important kind of hybrid power system. System dispatch is one of the key factors to hybrid power system integration. In this paper, the system dispatch of a DG-UEG-lead acid battery power system is studied with the UEG of relatively ample electricity in Central African Republic (CAR) and UEG of poor electricity in Congo Republic (CR). The mathematical models of the power system and the UEG are studied for completing the system operation simulation program. The net present cost (NPC) of the power system is the main evaluation index. The state of charge (SOC) set points and battery bank charging current are the optimization variables. For the UEG in CAR, the optimal dispatch solution is SOC start and stop points 0.4 and 0.5 that belong to the Micro-Cycling strategy and charging current 0.1 C. For the UEG in CR, the optimal dispatch solution is of 0.1 and 0.8 that belongs to the Cycle-Charging strategy and 0.1 C. Charging current 0.1 C is suitable for both grid scenarios compared to 0.2 C. It makes the dispatch strategy design easier in commercial practices that there are a few very good candidate dispatch solutions with system NPC values close to that of the optimal solution for both UEG scenarios in CAR and CR.</jats:p> |
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| description | <jats:title>Abstract</jats:title> <jats:p>Diesel generator (DG)-battery power systems are often adopted by telecom operators, especially in semi-urban and rural areas of developing countries. Unreliable electric grids (UEG), which have frequent and lengthy outages, are peculiar to these regions. DG-UEG-battery power system is an important kind of hybrid power system. System dispatch is one of the key factors to hybrid power system integration. In this paper, the system dispatch of a DG-UEG-lead acid battery power system is studied with the UEG of relatively ample electricity in Central African Republic (CAR) and UEG of poor electricity in Congo Republic (CR). The mathematical models of the power system and the UEG are studied for completing the system operation simulation program. The net present cost (NPC) of the power system is the main evaluation index. The state of charge (SOC) set points and battery bank charging current are the optimization variables. For the UEG in CAR, the optimal dispatch solution is SOC start and stop points 0.4 and 0.5 that belong to the Micro-Cycling strategy and charging current 0.1 C. For the UEG in CR, the optimal dispatch solution is of 0.1 and 0.8 that belongs to the Cycle-Charging strategy and 0.1 C. Charging current 0.1 C is suitable for both grid scenarios compared to 0.2 C. It makes the dispatch strategy design easier in commercial practices that there are a few very good candidate dispatch solutions with system NPC values close to that of the optimal solution for both UEG scenarios in CAR and CR.</jats:p> |
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| spelling | Xu, D. Kang, L. 2194-5756 1553-779X Walter de Gruyter GmbH Energy Engineering and Power Technology http://dx.doi.org/10.1515/ijeeps-2014-0130 <jats:title>Abstract</jats:title> <jats:p>Diesel generator (DG)-battery power systems are often adopted by telecom operators, especially in semi-urban and rural areas of developing countries. Unreliable electric grids (UEG), which have frequent and lengthy outages, are peculiar to these regions. DG-UEG-battery power system is an important kind of hybrid power system. System dispatch is one of the key factors to hybrid power system integration. In this paper, the system dispatch of a DG-UEG-lead acid battery power system is studied with the UEG of relatively ample electricity in Central African Republic (CAR) and UEG of poor electricity in Congo Republic (CR). The mathematical models of the power system and the UEG are studied for completing the system operation simulation program. The net present cost (NPC) of the power system is the main evaluation index. The state of charge (SOC) set points and battery bank charging current are the optimization variables. For the UEG in CAR, the optimal dispatch solution is SOC start and stop points 0.4 and 0.5 that belong to the Micro-Cycling strategy and charging current 0.1 C. For the UEG in CR, the optimal dispatch solution is of 0.1 and 0.8 that belongs to the Cycle-Charging strategy and 0.1 C. Charging current 0.1 C is suitable for both grid scenarios compared to 0.2 C. It makes the dispatch strategy design easier in commercial practices that there are a few very good candidate dispatch solutions with system NPC values close to that of the optimal solution for both UEG scenarios in CAR and CR.</jats:p> Optimal Dispatch of Unreliable Electric Grid-Connected Diesel Generator-Battery Power Systems International Journal of Emerging Electric Power Systems |
| spellingShingle | Xu, D., Kang, L., International Journal of Emerging Electric Power Systems, Optimal Dispatch of Unreliable Electric Grid-Connected Diesel Generator-Battery Power Systems, Energy Engineering and Power Technology |
| title | Optimal Dispatch of Unreliable Electric Grid-Connected Diesel Generator-Battery Power Systems |
| title_full | Optimal Dispatch of Unreliable Electric Grid-Connected Diesel Generator-Battery Power Systems |
| title_fullStr | Optimal Dispatch of Unreliable Electric Grid-Connected Diesel Generator-Battery Power Systems |
| title_full_unstemmed | Optimal Dispatch of Unreliable Electric Grid-Connected Diesel Generator-Battery Power Systems |
| title_short | Optimal Dispatch of Unreliable Electric Grid-Connected Diesel Generator-Battery Power Systems |
| title_sort | optimal dispatch of unreliable electric grid-connected diesel generator-battery power systems |
| title_unstemmed | Optimal Dispatch of Unreliable Electric Grid-Connected Diesel Generator-Battery Power Systems |
| topic | Energy Engineering and Power Technology |
| url | http://dx.doi.org/10.1515/ijeeps-2014-0130 |