This work presents a comparison study between the state-space and polynomial methods for the design of the robust governor for load frequency control of steam turbine power systems. The robust governor is synthesized using the two approaches and the comparison is extended to include time and frequency domains performance, controller order, and uncertainty representation, weighting filters, opti...

In this paper work we analyze and design Automatic load frequency control of two areas power system using Genetic Algorithm and also for four area power system using artificial neural network (ANN), generation control is becoming increasingly important in view of increased load demand & reducing generating resources. The increasing load demands are posing serious threats to reliable operation o...

Bayesian Networks (BN) provides a robust probabilistic method of reasoning under uncertainty. They have been successfully applied in a variety of real-world tasks but they have received little attention in the area of load-frequency control (LFC). In practice, LFC systems use proportional-integral controllers. However since these controllers are designed using a linear model, the nonlinearities...

The congest in an open communication system may cause the failure of load frequency control (LFC) scheme power system. Furthermore, increase wind penetration degrades stability LFC scheme. To address these two issues, this paper analysis schemes with both Bernoulli model and Gilbert-Elliott packet losses based on Markov jump effect also discussed as inertia reduction. Moreover, combined action ...

This paper discusses the optimal design of Variable Structure Controller (VSC) applied to the Load Frequency Control (LFC) problem. The controller was designed by an optimal method that utilizes Tabu Search (TS) algorithm. The proposed method has been applied to a single nonreheat area model that includes nonlinearities in the form of Generation Rate Constraint (GRC) and governor deadband backl...

This paper describes an application of Artificial Neural Networks (ANN) to Load Frequency Control (LFC) of nonlinear power systems. Power systems, such as other industrial processes, have parametric uncertainties that for controller design had to take the uncertainties in to account. For this reason, in the design of LFC controller the idea of robust control theories are being used. To improve ...

This paper presents the design and performance analysis of teaching learning based optimization (TLBO) algorithm based PID controller for load frequency control (LFC) of an interconnected power system. A two area reheat thermal system equipped with PID controllers which is widely used in literature is considered for the design and analysis purpose. The design objective is to improve the transie...

In this paper, a reduced-order state observer with a practical point of view for load frequency control (LFC) problem in a deregulated power system is proposed. In the practical environment, there is limited access to all state variables of system and measuring all of them is usually impossible. So when the available sensors are less than the number of states or when it may be undesirable, expe...

This paper presents an extensive study on the application of Artificial Bee Colony (ABC) algorithm for load frequency control (LFC) in multi-area power system with multiple interconnected generators. The LFC model incorporates various possible physical constraints and non-linearities such as generation rate constraint, time delay, dead zone and boiler. The ABC algorithm is used to find the opti...

A fractional order PID (FOPID) control technique for automatic generation (AGC) in a multi-area power system is presented this study. To create reliable controller, variety of strategies were used. The load frequency (LFC) problem implementing different transactions, such as bilateral and Poolco are investigated here. Because any scheme’s performance only good its parameters, the parameters des...