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Scheduling maintenance of electrical power transmission networks using genetic programming

Scheduling maintenance of electrical power transmission networks using genetic programming

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The National Grid Company plc is responsible for the maintenance of the high voltage electricity transmission network in England and Wales. It must plan maintenance so as to minimise costs taking into account: (i) location and size of demand, (ii) generator capacities and availabilities, (iii) electricity carrying capacity of the remainder of the network, i.e. that part not undergoing maintenance. Previous work showed the combination of a genetic algorithm using an order or permutation chromosome combined with hand coded 'greedy' optimisers can readily produce an optimal schedule for a four node test problem [10]. Following this the same GA has been used to find low cost schedules for the South Wales region of the UK high voltage power network. This chapter describes the evolution of the best known schedule for the base South Wales problem using genetic programming starting from the hand coded heuristics used with the GA.

Inspec keywords: scheduling; artificial intelligence; genetic algorithms; transmission networks; maintenance engineering; greedy algorithms; power engineering computing

Other keywords: costs minimisation; maintenance scheduling; UK high voltage power network; electricity carrying capacity; greedy optimiser; high voltage electricity transmission network; generator capacities; National Grid Company plc; genetic programming; South Wales region; permutation chromosome; hand coded heuristics; electrical power transmission networks; genetic algorithm

Subjects: Power transmission, distribution and supply

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