Abstract
Load frequency control (LFC) is one of the most profitable ancillary services of power system market presently. The main goal of LFC is to reduce zero steady-state error for frequency deviations. In the present review paper of LFC problem, worldwide history of various types of controllers, control strategy, smart techniques and methodologies which are implemented and which can be implemented at generation, transmission and distribution areas of a power system. Moreover, ABT mechanism in India is implemented in 2002 to regulate grid frequency. Out of this in deregulated power system energy storage with the potential of different types of energy storage at distribution area in the power system has been highlighted. In a smart grid due to intermittent nature of the renewable energy sources (wind and solar), unpredictable daily and seasonal variations there may be an imbalance between supply and demand which results in deviations in the grid frequency. To eliminate the problem of LFC Electrical energy storage (EES) is technologies are listed. LFC problem with different soft computing techniques such as Genetic Algorithm (GA), Neural Network (NN), Fuzzy Logic (FG), Particle Swarm Optimization (PSO), Bacterial Foraging Optimization (BFP), Tabu Search Algorithm (TSA) has been carried out. This literature review will help the new researcher to give the guideline to work in the area of load frequency control.
Highlights
Today, the present grid is a smart grid
Study based on Load Frequency Control (LFC) problem with different soft computing techniques such as Genetic Algorithm (GA), Neural Network (NN), Fuzzy Logic (FG), Particle Swarm Optimization (PSO), Bacterial Foraging Optimization (BFP), Tabu Search Algorithm (TSA) has been carried out
The LFC problem in a single area power system for its dynamic performance and delay margin by using Lyapounuv theory based on the dependent criterion and linear matrix inequalities (LMIs) techniques have been represented by Jiangen et al [1]
Summary
The present grid is a smart grid. In a large-scale power system, many types of power plants are connected to meet the load demand. The nature of renewable energy sources is uneven, which causes frequency and power deviations too. A lot of research has been carried on Load Frequency Control (LFC) problem in conventional power system as well as deregulated power system. Study based on LFC problem with different soft computing techniques such as Genetic Algorithm (GA), Neural Network (NN), Fuzzy Logic (FG), Particle Swarm Optimization (PSO), Bacterial Foraging Optimization (BFP), Tabu Search Algorithm (TSA) has been carried out. Many researchers have tried to solve LFC problem using AC-DC tie line, Flexible AC Transmission System (FACTS), considering communication delay, different learning techniques and different types of Distributed Energy Storage System (DESS). Further study on communication delay, renewable energy sources penetration and need for electrical storage with different types of storages have been carried out. Load frequency Control (LFC) as ancillary services are becoming much more significant today. The types of power system models for LFC with various control strategies are outlined
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