Optimal power flow controlling with TCSC using expert system

Abstract

This paper presents the solution of Optimal Power Flow (OPF) with different objective functions i.e. fuel cost minimization and active power loss minimization using Genetic Algorithm (GA). The basic OPF solution is obtained with fuel cost minimization as the objective function and the optimal settings of the power system are determined. For reactive power optimization, active power loss has been taken as the objective function. OPF solution with Thyristor Controlled Series Compensator (TCSC) device is carried out considering fuel cost minimization and active power loss minimization as objective. TCSC is used to relieve the overloading of the lines under heavy loading conditions. The results obtained using IEEE 75-bus Indian system is presented.

Data-driven Reactive Power Optimization for Distribution Networks Using Capsule Networks

“…For the expert system, the user inputs the power loads of the distribution networks based on the human-machine interface, and then the inference engine matches the power loads with dispatching strategy in the knowledge base. The conclusions of the matched dispatching strategy are sent out to the system operators [13]. CBR searches historical cases similar to current cases, and then uses them to determine the dispatching strategy of unknown samples [14].…”