Considering shunt and fixed series compensations in dynamic transmission network expansion planning using Real Codded Genetic Algorithm

This paper presents a new model of Dynamic Transmission Expansion Planning (DTEP) for electrical networks, which chooses the optimal solution among the suggested transmission lines, Fixed Series Compensators (FSCs) and Shunt Compensators (SHCs) for the purpose of installation in consecutive stages. The selection of lines, FSCs and SHCs is in such a way that the network is able to meet its consumers' demands for the planning horizon whether it is under normal operation conditions or when an N-1 contingency occurs. To achieve the above goals, this paper's suggested model will work toward minimizing an objective function (including installation costs of transmission lines, FSCs and SHCs, and cost of losses) and also with the consideration of technical constraints of the network (such as voltage limits and lines' overloads) and security constraints as well. With regard to the mixed integer non-linear nature of the DTEP problem along with incorporating FSCs and SHCs, the Real Codded Genetic Algorithm (RCGA) is employed to obtain the optimal solution. The results of simulations on IEEE 24-bus test system represent suitable performance of the suggested model while considering FSCs and SHCs.