Reactive Power Optimization In Electric Power System Based On Improved Particle Swarm Algorithm

Rational distribution of reactive Power in Power system is the Prior condition which can ensure voltage quality and reduce the loss. Optimization adjustment of reactive Power can act on secure and economical operation of Power system. The distribution of reactive power not only determines the voltage profile, which is an important index of voltage quality, but also affects the security and economy of power systems. Reactive power optimization is an effective measure to assure the security, improve power quality and benefit of power systems. It is obvious that the investigation in reactive power optimization of power systems is of great significance. The objective of reactive power optimization is to find proper adjustments of control variables that would minimize system losses, maintain acceptable voltage levels and improve voltage stability throughout the system. The measure of reactive power optimization mainly considers on-load tap changer, the optimal capacity of the capacitor, the voltage of generator under the steady load.Firstly, reducing active power is considered of the main object function in this paper, and the model of reactive optimization was established based on it. The space-time coupling of dynamic reactive power optimization issue is created due to the action constraints of the discrete control equipments. This paper proposes a method to solve the space-time decoupling of the distribution network dynamic reactive power optimization. In succession, several emerging intelligent optimization methods are further analyzed, based on the current research status of the reactive power optimization. A new hybrid global optimization algorithm-PSODE is presented, which is based on the combination of the particle swarm optimization(PSO)and differential evolution (DE). PSODE can effectively overcome the problem of premature convergence encountered by PSO and improve the optimization capability of it. And then, the project is used to deal with reactive power optimization problem, which based on modified Particle Swarm Optimization with Differential Evolution. Aiming at the reactive power optimization, new solutions are suggested which are based on the modified Particle Swarm Optimization. Finally, in this paper, the modified algorithm is applied to the 10-bus system for an example to resolve the problem of reactive power optimization, the feasibility and validity of the modified PSODE is validated at the aspect of reactive power optimization of the power system.