Fuel cost optimization of the power system by involving all operating limits based on the developed interior point algorithm
Hermagasantos Zein, Annisa Syafitri Kurniasetiawati, CONNY KURNIAWAN WACHJOE · International Transactions on Electrical Energy Systems · 2020
Power flow control in the power system aims to supply electricity to customers efficiently and low operating costs. Based on the conventional approach, the electric power operators only emphasize the function of optimizing generating costs according to load demand and active power limits of generators. On the other hand, the adjustment of the optimization results requires manual adjustments in its implementation. The optimization of the fuel costs minimization, which involves all constraints, is very expected by the operators so that the operator can implement the results directly without making any adjustments. Furthermore, the constraints in power flow optimization that consist of generator capability curve limits, voltage limits, transmission line limits, and active power limits on generators will lead to more complicated optimization, and the application program will run slowly. This paper proposes a method that can reduce optimization constraints with less computation time. The method is to reduce the limits of the generator capability curve through a mathematical model. While the optimization method used is the predictor-correctors techniques and reduction techniques in the interior point algorithm. The method uses a simple power system using a four-bus power system that provides accurate and satisfying results. Besides, this method has been successfully implemented in a large-scale system, namely, the 500 kV Java—Bali Power System with 65 buses and 40 generating units.