Customer interruption cost estimation model based on bidirectional search algorithm

HU Jincai; ZHANG Jing; WANG Dalong; LYU Wei; OUYANG Wenan

Volume 35 Issue 3

Sep. 2021

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Article Navigation > Journal of Shanghai University of Engineering Science > 2021 > 35(3): 243-247

HU Jincai, ZHANG Jing, WANG Dalong, LYU Wei, OUYANG Wenan. Customer interruption cost estimation model based on bidirectional search algorithm[J]. Journal of Shanghai University of Engineering Science, 2021, 35(3): 243-247.

Citation:

HU Jincai, ZHANG Jing, WANG Dalong, LYU Wei, OUYANG Wenan. Customer interruption cost estimation model based on bidirectional search algorithm[J]. Journal of Shanghai University of Engineering Science, 2021, 35(3): 243-247.

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Customer interruption cost estimation model based on bidirectional search algorithm

School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China

Received Date: 2021-05-26
Publish Date: 2021-09-30

Abstract

Abstract

Accurate and fast estimation of customer interruption cost plays an important role in distribution network optimization and planning. A customer interruption cost estimation model based on bidirectional search algorithm was proposed, the bidirectional search algorithm was combined with the customer interruption cost estimation model through programming. Firstly, the fault rate of the circuit breaker was taken into account in the bidirectional search algorithm, so as to be closer to the real situation; then the average failure rate and average duration of failure of each load point were calculated, the average failure rate and average duration of failure were substituted into the customer interruption cost model, the customer outage loss of each load point was obtained ; finally, the total customer interruption cost was obtained by adding the customer outage losses at all load points. Taking feeder F4 in IEEE-RBTS BUS 6 as an example, the effectiveness of the model was verified.
- distribution network,
- customer interruption cost,
- search algorithm,
- reliability

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References(9)

References

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