Zahid, Muhammad and Chen, Jinfu (2017) New Approach for Optimal Location and Parameters Setting of UPFC for Enhancing Power Systems Stability under Contingency Analysis. Energies, 10 (11). ISSN 1996-1073
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Text (New Approach for Optimal Location and Parameters Setting of UPFC for Enhancing Power Systems Stability under Contingency Analysis)
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Abstract
Operation of power system within specified limits of voltage and frequency are the major
concerns in power system stability studies. As power system is always prone to disturbances,
which consequently affect the voltage instability and optimal power flow, and therefore risks the
power systems stability and security. In this paper, a novel technique based on the “Artificial Algae
Algorithm” (AAA) is introduced, to identify the optimal location and the parameters setting of Unified
Power Flow Controller (UPFC) under N-1 contingency criterion. In the first part, we have carried
out a contingency operation and ranking process for the most parlous lines outage contingencies
while taking the transmission lines overloading (NOLL) and voltage violation of buses (NVVB) as a
performance parameter (PP = NOLL + NVVB). As UPFC possesses too much prohibitive cost and
larger size, its optimal location and size must be identified before the actual deployment. In the second
part, we have applied a novel AAA technique to identify the optimal location and parameters setting
of UPFC under the discovered contingencies. The simulations have been executed on IEEE 14 bus
and 30 bus networks. The results reveals that the location of UPFC is significantly optimized using
AAA technique, which has improved the stability and security of the power system by curtailing the
overloaded transmission lines and limiting the voltage violations of buses.
| Item Type: | Article |
|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering and Applied Sciences (FEAS) > Department of Electrical Engineering Lahore |
| Depositing User: | Dr. Muhammad Zahid |
| Date Deposited: | 16 Aug 2020 17:04 |
| Last Modified: | 16 Aug 2020 17:04 |
| URI: | http://research.riphah.edu.pk/id/eprint/879 |
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