Abb Research Ltd.

Wenping Li

Zhenyuan Wang

James Stoupis

Vaibhav Deepak Donde

William Peterson

The method of determining back-feed paths is capable of efficiently solving multi-layer restoration problems by minimizing a fitness function using an iterative genetic algorithm. The method optimizes back-feeding of out-of-service areas by minimizing power loss, switching, unserved loads and voltage/current violations. The efficiency of the algorithm is further increased through the use of a reactive Tabu search to prevent duplicate candidate systems.

Restoration switching analysis with modified genetic algorithm

A method for generating switching plans to restore power to out-of-service areas after fault isolation through back feeding. A chromosome architecture is defined to create chromosomes representing candidate post-restoration systems. The chromosomes are evaluated are repeatedly genetically altered until an acceptable solution is identified. The solution identifies a plurality of switching operations that back feed power to the out-of-service areas in the most optimal manner.

Restoration switching analysis with genetic algorithm

A power outage restoration system manages a power network including a plurality of switching devices. The power outage restoration system includes an outage management system having a network model of said power network. A plurality of local restoration controllers are in communication with the outage management system and each said local restoration controller includes a trimmed network model correlating to a respective area of responsibility.

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Fulshear, TX, United States of America

Wenping Li