Abstract
The expanding share of the fluctuating and less predictable wind power generation can introduce complexities in power system reliability evaluation and management. This entails a need for the system operator to assess the system status more accurately for securing real-time balancing. The existing reliability evaluation techniques for power systems are well developed. These techniques are more focused on steady-state (time-independent) reliability evaluation and have been successfully applied in power system planning and expansion. In the operational phase, however, they may be too rough an approximation of the time-varying behavior of power systems with high penetration of wind power. This paper proposes a time-varying reliability assessment technique. Time-varying reliability models for wind farms, conventional generating units, and rapid start-up generating units are developed and represented as the corresponding universal generating functions (UGFs), respectively. A multistate model for a hybrid generation and reserve provider is also proposed based on the developed UGF representations of wind farms, conventional generating units, and rapid start-up generating units. The proposed technique provides a useful tool for the system operator to evaluate the reliability and arrange reserve for maintaining secure system operation in the short- as well as medium-terms.
| Original language | English |
|---|---|
| Journal | IEEE Transactions on Sustainable Energy |
| Volume | 5 |
| Issue number | 3 |
| Pages (from-to) | 896-906 |
| ISSN | 1949-3029 |
| DOIs | |
| Publication status | Published - 2014 |
Keywords
- Power, Energy and Industry Applications
- Markov processes
- Medium-term
- Power system reliability
- random process
- reliability
- short-term
- universal generating function (UGF)
- Wind farms
- wind power
- Wind power generation
- Wind speed
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