Volume 16, Issue 3 (September 2020)
IJEEE 2020, 16(3): 302-312 |
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Abstract: (2314 Views)
To realize the self-healing concept of smart grids, an accurate and reliable fault locator is a prerequisite. This paper presents a new fault location method for active power distribution networks which is based on measured voltage sag and use of whale optimization algorithm (WOA). The fault induced voltage sag depends on the fault location and resistance. Therefore, the fault location can be found by investigation of voltage sags recorded throughout the distribution network. However, this approach requires a considerable effort to check all possible fault location and resistance values to find the correct solution. In this paper, an improved version of the WOA is proposed to find the fault location as an optimization problem. This optimization technique employs a number of agents (whales) to search for a bunch of fish in the optimal position, i.e. the fault location and its resistance. The method is applicable to different distribution network configurations. The accuracy of the method is verified by simulation tests on a distribution feeder and comparative analysis with two other deterministic methods reported in the literature. The simulation results indicate that the proposed optimized method gives more accurate and reliable results.
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- This paper presents an improved version of the WOA to find the location of short circuit faults in active power distribution networks;
- The method is conceptually simple and can be implemented in large branched distribution networks with several load taps and laterals;
- The proposed method can be applied to distribution networks with DER without requiring their information, it does not face the multiple solution problem and it gives accurate results for different fault types;
- In comparison with the deterministic voltage sag-based techniques, the proposed method has fewer calculations and provides more accurate results;
- The proposed method can maintain its accuracy in an acceptable range, even when accurate data of distribution network loads are not available.
Type of Study: Research Paper |
Subject:
Fault Location
Received: 2019/10/29 | Revised: 2020/02/06 | Accepted: 2020/02/11
Received: 2019/10/29 | Revised: 2020/02/06 | Accepted: 2020/02/11
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