Abstract
The sizing of photovoltaic (PV) power systems for remote offshore loads has been the concern of end users. This is because of the space constraints associated with the application and the expensive cost of panels and batteries. This paper evaluates the design of the PV system using three probabilistic methods. One is considering fixed days of battery back up and recharge and the other is based on loss of load probability (LOLP). The third is based on Markov Chain Modeling. LOLP distinctly shows reduction in the number of panels and size of batteries while providing a detailed view of the system performance.
| Original language | English |
|---|---|
| Pages (from-to) | 205-208 |
| Number of pages | 4 |
| Journal | IEEE Transactions on Power Systems |
| Volume | 17 |
| Issue number | 1 |
| DOIs | |
| State | Published - Feb 2002 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Loss of load probability (LOLP)
- Markov chain
- Optimization of photovoltaic (PV) systems
- Photovoltaic (PV)
- Probabilistic analysis
- Reliability
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
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