Transient Stability Constrained Optimal Power Flow Using Improved Particle Swarm Optimization Approach

Stability is an important constraint in power system operation; the transient stability constrained optimal power flow (TSCOPF) has a considerable attention in recent years. The solution obtained from the conventional optimal power flow (OPF), which considers only the static constraints, does not guarantee transient stability in the system against possible contingencies such as line fault. In this paper, a novel OPF is proposed by adding the transient stability constraints into the conventional OPF problem using the improved particle swarm optimizer (IPSO). It is so called transient stability constrained optimal power flow, which helps to return the system to a normal operating condition after a disturbance. The basic idea of the proposed method is to model the transient stability as an objective function rather than an inequality constraint and consider classic transient stability constrained optimal power flow (TSCOPF). The proposed method is tested on the IEEE 30-bus system. The objective function is to minimize the total cost of fuel for all generators.