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Energies 2017, 10(8), 1204; https://doi.org/10.3390/en10081204

A Multi-Objective Optimization Approach for Corrective Switching of Transmission Systems in Emergency Scenarios

1
Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education, Shandong University, Jinan 250061, China
2
China Electric Power Research Institute, Beijing 100192, China
*
Author to whom correspondence should be addressed.
Received: 4 July 2017 / Revised: 4 August 2017 / Accepted: 10 August 2017 / Published: 14 August 2017
(This article belongs to the Section Electrical Power and Energy System)
Full-Text   |   PDF [852 KB, uploaded 14 August 2017]   |  

Abstract

The large capacity transmission of power over long distance and the rapid development of renewable energy increase the probability of unexpected emergencies such as overload and under-voltage. To tackle these emergencies and defend future disturbances, the corrective switching is implemented as an online control and a multi-objective scheme-making approach is proposed. A multi-objective 0-1 integer optimization model is established to cover a set of contradictory objectives from the aspects of economics, security and reliability. A two-phase optimization approach is proposed to ensure computation efficiency and coordinate the trade-off between these objectives: in the first phase, a feasible set silting method is utilized to quickly search for a set of candidate corrective switching schemes; in the second phase, the technique for order preference by similarity to an ideal solution (TOPSIS) method is applied to the candidate set to coordinate the contradictory objectives and determine the ultimate engineering scheme. Two case studies are conducted to verify the proposed approach in overload and under-voltage scenarios. The results are discussed to show the strengths when the performance indices of economics, security and reliability are considered. View Full-Text
Keywords: corrective switching; load shedding; multi-objective optimization; overload; under-voltage corrective switching; load shedding; multi-objective optimization; overload; under-voltage
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Xu, X.; Cao, Y.; Zhang, H.; Ma, S.; Song, Y.; Chen, D. A Multi-Objective Optimization Approach for Corrective Switching of Transmission Systems in Emergency Scenarios. Energies 2017, 10, 1204.

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