Recent Strategies for Automatic Generation Control of Power Systems With Diverse Energy Sources

Abstract

This paper reveals Automatic Generation Control (AGC) strategies of power systems including diverse type power generating sources and comprehensive literature review is also presented. These diverse type energy sources considered conventional power sources like thermal, diesel, nuclear, etc. and Renewable Energy Sources (RESs). RESs are solar energy, wind energy, hydro energy, etc. A variety of AGC schemes based on hard, soft and artificial intelligent computation techniques is presented here. The benefits and their limitations of these energy generating units are also taken in this article. In the present scenario, deregulation, smart micro-grid and grid concept is also utilized with interconnection of the considered energy generating sources. The literature of this review article fulfills the gap of recent and previous decades research work and provides future exploration in AGC techniques.

A Comprehensive Review of Load Frequency Control Technologies

“…In addition, we have introduced a significantly improved version of the "LFC and cybersecurity" section to insert articles that are relatively poorly known but interesting. Among other valuable comprehensive reviews, there are a few that tackle the problem of LFC in general [60][61][62][63], but most of them present specific research fields like the influence of deregulation on the LFC problem [64,65], LFC and diverse energy sources [66], LFC and renewables [67][68][69], LFC and smart grids [70], LFC, soft computing and optimization techniques [71,72], and LFC and the stabilization of signals in multiarea systems [62].…”

Optimal AGC of a power system incorporated BESS-EHVAC/DC link using evolutionary techniques

“…Kail et al [16] proposed the effect of DFIG-based WEC in AGC also its dynamic response is reduced by area control error. The optimization techniques have been used for AGC [17]− [24] as to augment the firmness of power system also review work has done by [25].…”

Constructing the Comprehensive Benefit Evaluation Model of Micro-Energy Network in Residential Building

“…For the calculation of indicator weights, most scholars currently use subjective weights, objective weights and comprehensive weights, etc. Subjective weights are based on expert knowledge and experience to judge indicators, reflecting the subjective importance of indicators, and specific methods include hierarchical analysis [4], eigenvalue method [5], program preference assignment method [6], etc. ; objective weights are based on the assessment of objective data with the help of mathematical model theory and computer means, and specific methods include entropy weights.…”