Abstract
With the development and application of large-scale renewable energy sources, the electric power grid is becoming huge and complicated; one of the most concerning problems is how to ensure coordination between a large number of varied controllers. Differential games theory is used to solve the problem of collaborative control. However, it is difficult to solve the differential game problem with constraints by using conventional algorithm. Furthermore, simulation models established by existing research are almost linear, which is not conducive to practical engineering application. To solve the above problem, we propose a co-evolutionary algorithm based on the improved weighted fruit fly optimization algorithm (IWFOA) to solve a multi-area frequency collaborative control model with non-linear constraints. Simulation results show that the control strategy can achieve system control targets, and fully utilize the various characteristics of each generator to balance the interests of different areas. Compared with a co-evolutionary genetic algorithm and a collaborative multi-objective particle swarm optimization algorithm, the co-evolutionary algorithm based on the IWFOA has a better suppression effect on the frequency deviation and tie-line power deviation caused by the disturbance and has a shorter adjustment time.
Highlights
In recent years, with the development and application of large-scale renewable energy sources, the stability of power system operation has become an active research topic
Compared with a co-evolutionary genetic algorithm and a collaborative multi-objective particle swarm optimization algorithm, the co-evolutionary algorithm based on the improved weighted fruit fly optimization algorithm (IWFOA) has a better suppression effect on the frequency deviation and tie-line power deviation caused by the disturbance and has a shorter adjustment time
The co-evolutionary algorithm based on the IWFOA has a better based on the IWFOA has a better suppression effect on the frequency deviation and tie-line power suppression effect on the frequency deviation and tie-line power deviation caused by the disturbance
Summary
With the development and application of large-scale renewable energy sources, the stability of power system operation has become an active research topic. It is important to develop effective control strategies for power system load frequency to realize the large-scale grid connection of renewable energy sources [1]. The frequency control of multi-area power systems is a type of coordination control, and there are various electrical connections among areas. In [11], differential games are applied in power systems to solve the problem of coordination between primary and secondary frequency control. It is difficult to solve the differential game problem with constraints using the conventional algorithm, and the simulation models established by the existing research are all linear, which is not conducive to practical engineering application.
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