ECAI 2004 Conference Paper

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Transmission Expansion Planning Based on Tabu Search Algorithm

Zakariya M. Al-Hamouz, A. H. Mantawy, Hussain Al-Duwaish, Ibrahim El-Amin

This paper presents a new approach for formulating and solving the transmission expansion planning (TEP) problem. The main improvement is in introducing the corona power loss in the objective function and operating constraints. As a result, the objective function is made up of three terms, namely: the cost of investment of new transmission lines, the cost of ohmic power loss of both new and existing lines, and the cost of corona power loss of new lines. This combination of terms reveals a nonlinear objective function which is solved by Tabu Search (TS). The corona power loss term has been tried for a practical number of sub-conductors (1, 2, 3, and 4) and practical sub-conductor radii. In order to test and justify this new formulation, it has been applied to Garver’s 6-bus test sytem The outcome of the expansion process is the optimal scenario which defines the number of lines to be added. For each added line, the number and radii of sub-conductors, phase spacing, height, and bundle radius are also generated as a result of the expansion process. When compared to previously reported TEP attempts, simulation results show a reduction in the total cost of the expanded network.

Keywords: Transmission lines, Tabu Search, Optimization, Corona, Power Loss, Planning

Citation: Zakariya M. Al-Hamouz, A. H. Mantawy, Hussain Al-Duwaish, Ibrahim El-Amin: Transmission Expansion Planning Based on Tabu Search Algorithm. In R.López de Mántaras and L.Saitta (eds.): ECAI2004, Proceedings of the 16th European Conference on Artificial Intelligence, IOS Press, Amsterdam, 2004, pp.951-952.

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ECAI-2004 is organised by the European Coordinating Committee for Artificial Intelligence (ECCAI) and hosted by the Universitat Politècnica de València on behalf of Asociación Española de Inteligencia Artificial (AEPIA) and Associació Catalana d'Intel-ligència Artificial (ACIA).