Studies on Calculation of a Set of the Pareto Solutions for Multi-objective Optimization in Transmission Network Expansion Planning with the Uncertainties

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In this project, transmission network expansion planning methods have been studied with multi-objective metaheuristics that calculates a set of the Pareto solutions in multi-objective optimization problems. To improve the performance of multi-objective metaheuristics, this project proposed a sort of Memetic Algorithm that integrates multi-objective metaheuristics of the GA-based method with metaheuristics. The former was used to evaluate a set of the Pareto solutions while the latter was utilized to improve the obtained Pareto solution set. Also, probabilistic power supply reliability index EENS (Expected Energy Not Supplied) was considered to deal with the uncertainties due to the changes of load and/or renewable energy such as wind firms in transmission networks. Furthermore, the network decomposition methods were studied to obtain the optimal subnetworks efficiently.