This paper seeks to solve the long-term transmission expansion planning problem in power systems more effectively by reducing solution search space and computational effort. The proposed methodology finds adds cutting planes based on structural insights about bus angle differences along paths. Two lemmas a theorem are which formally establish validity of these onto underlying mathematical formu...

In this paper, the resilient-constrained generation and transmission expansion planning (RCGTEP) considering natural disasters such as earthquake flood is presented. The proposed model contains a two objective problem that first function minimizes construction operation costs of resiliency sources (RSs) and, in second function, minimization expected energy not supplied (EENS) due to outage syst...

This paper presents an application of Improved Genetic Algorithm (IGA) with the support of Optimal Power Flow (OPF) algorithm for the least cost Generation Expansion Planning (GEP) problem under deregulated environment of power system. The proposed GEP model includes the presence of firm bilateral transactions, multilateral transactions and Independent Power Producers (IPP) in the system. The o...

The Generation expansion planning (GEP) problem is a large scale, mixed integer and the most complicated optimization problem. So we are using Multi-objective differential evolution (MODE) for solving the GEP problem. To calculate for best combinations of conventional sources with and without wind farm, GEP problem is considered for test system of and satisfy the constraints by calculating EENS...