Load-Frequency Control of Multi-Area Power System Based on the Improved Weighted Fruit Fly Optimization Algorithm

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.

An Extreme Learning Machine Based Adaptive VISMA for Stability Enhancement of Renewable Rich Power Systems

“…Output variables from the outer control loop are then fed into the inner current control loop as reference values and compared with the actual values of generator currents (i dgen , i qgen ). Auxiliary state variables of γ dgen and γ qgen are used to express the state equations of the inner current controllers and expressed as in Equation (18).…”

“…The application of a cuckoo search algorithm to design a power system stabilizer is also reported in [17]. Moreover, fruit fly optimization (FFO) is reported to give an excellent performance in handling load frequency control [18]. However, a particular operating condition is used to tune the control parameters by using the metaheuristic algorithm.…”

Applications of Game Theory to Design and Operation of Modern Power Systems: A Comprehensive Review

“…The authors analyze a non-cooperative game, and two cooperative games, and conclude that the cooperative games lead to more stable system operation. Reference [110] also considers a multi-area LFC system and a differential game to model the interaction between the areas, with a similar payoff function. Differently from the previous papers, this one proposes a co-evolutionary algorithm to solve the game.…”

Retired electric vehicle battery to reduce the load frequency control oscillation in the micro grid system

“…The speed of the governor on the generating unit as a control function is a quantity that continuously changes according to changes in load, so a frequency regulation system is needed, known as load frequency control (LFC) [7]. 1267 LFC is a system that is used to maintain fluctuations caused by changes in load [8]. The use of the LFC functions in regulating the frequency of the electric power system by increasing and decreasing the generator load based on the difference between the system frequency and the nominal frequency.…”