Symbiotic organisms search algorithm for static and dynamic transmission expansion planning

Abstract

Transmission expansion planning (TEP) is a conventional problem of electric power systems. The main objective of TEP is to govern the optimum expansion plan of the electrical power networks. This chapter proposes symbiotic organisms search (SOS) algorithm (a novel metaheuristic optimization technique) for the solution of TEP problem of power systems. SOS algorithm is motivated by the interactions among the organisms in the ecosystem. Both static and dynamic TEP problem have been modeled in this chapter using DC power flow model and are effectively solved by the SOS algorithm. Several constraints such as right-of-way's validity, maximum number of lines addition, power flow of the network lines have been taken into consideration. To authenticate the capability of the proposed method, Garver's 6-bus system, IEEE 25-bus system and Colombian 93-bus system are tested for TEP problem. The efficacy of the proposed SOS algorithm, while dealing with different case studies of the studied power networks, is established in terms of higher quality results (i.e., lower investment cost), lower competitive computational burden and quicker (also stable) convergence mobility.