This paper aims to solve the economic dispatch problem of the 28-bus Nigerian power system using genetic algorithm. The power flow solution of the network is first obtained using Newton-Raphson technique; the solution thus obtained is used to determine the loss coefficients of the network. For this study, a forecasted load demand of 2000MW will be considered, MATLAB's genetic algorithm optimization toolbox is used to obtain the optimum generation level of each unit. The optimal power output of each scheduled generating units was obtained after 200 iterations at a minimal generation cost of ₦136,370.205/hr. A power loss of 11.32MW in the network was also obtained using Kron's loss formula.
In power systems, both active and reactive power demands are never steady. Due to sudden load changes, frequency fluctuation problems occur in an interconnected power system. The Load Frequency Control (LFC) reduces the frequency deviation and maintains dynamic performance of the system. Non-linearities have made most of the controllers employed for the LFC inefficient. In this paper, a fuzzy logic proportional integral (PI) controller is proposed to eliminate these setbacks with the conventional controllers. The results showed a reduction in settling time, percent overshoot and steady state error.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.