Optimal Power Flow in Deregulated Power Systems by Using Optimization Techniques

An independent system operator tasked with providing equitable and fair transmission services in an open-market context has a challenging job in dynamic security-constrained dispatch of an electric power network. This study proposes a new methodology based on the optimal flow of power and swarming mode, which is restricted by iterative stability. In addition to the static and dynamic functional constraints, dynamic margin needs in relation to normal condition and contingencies, particle swarm and moth swarm optimizations are used to optimize social welfare. Furthermore, because the pattern of load growth in the current market environment is difficult to forecast, a new approach for estimating the sensitive loading direction linked with a dynamic loading margin is presented. To demonstrate and test the suggested approach, an IEEE 14-bus test system with both supply and demand bids is utilized.