In this paper an extensive literature review on load–frequency control (LFC) problem in power system has been highlighted. The various configuration of power system models and control techniques/strategies that concerns to LFC issues have been addressed in conventional as well as distribution generation-based power systems. Further, investigations on LFC challenges incorporating storage devices BESS/SMES, FACTS devices, wind–diesel and PV systems etc have been discussed too.

A literature survey on load–frequency control for conventional and distribution generation power systems

Kernel-based fuzzy c-means clustering algorithm based on genetic algorithm

The mitigation of environmental effects on clean-energy technology is an area of increasing interest. Photovoltaic (PV) modules have been widely used in small and large-scale applications for many years. However, they are not yet competitive with other electrical energy-generation technologies, especially in environments that suffer from dust, airborne particles, humidity and high ambient temperatures. This paper presents a review of the effect of climatic conditions on PV module performance, in particular, the effect of dust fouling. Research to date indicates that dust deposition has a considerable effect on PV module performance as it reduces the light transmissivity of the PV module surface cover. Studies on the ways in which dust is deposited on PV module surfaces are reviewed, as understanding this process is essential to develop effective mitigation approaches. Module performance is also adversely affected by high ambient temperature, humidity and lack of rainfall. The current review summarizes the past, current and promising future approaches towards mitigating environmental effects, in particular dust fouling. Electrostatic cleaning methods and micro/nanoscale surface functionalization methods both have the potential to counteract the negative effects of dust deposition, with the combination of the two methods showing special efficacy, particularly in arid regions.

The effect of environmental factors and dust accumulation on photovoltaic modules and dust-accumulation mitigation strategies

Chaotic multi-objective optimization based design of fractional order PIλDμ controller in AVR system

Adaptive intelligent techniques for microgrid control systems: A survey

Optimization have been used for optimizing the parameters of a Fuzzy logic controller (acting as the secondary controller in the AGC system).The controllers give improved dynamic performances for three area thermal-thermal-hydro power system under a variety of operating conditions.

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Application of GA and PSO Tuned Fuzzy Controller for AGC of Three Area Thermal- Thermal-Hydro Power System

Power flow study is the initial step which provides voltage magnitudes, phase angles, active and reactive power flows at respective buses under normal operating conditions. It helps in analyzing the current state of the power system and effective alternative options for expanding the existing system in order to meet with the increasing load demand. Contingency Analysis is also a major part of study for reliable and planned operation of power system. It is very significant function in modern Energy Management Systems. The objective of contingency analysis is to give operator the information about the static security. There are several factors which may lead to the contingency in power system, for example line outage, transformer outage, generator outage and overloads resulting the extreme situations such as voltage collapse, over loads in other branches and/or sudden system voltage rise or drop. Contingency analysis is used to calculate parameters violations. In this paper, maximum loading parameter is calculated and contingency status of Western System Coordinating Council 3 Machine, 9 Bus test system is done using PSAT toolbox in MATLAB.

Power flow study and contingency status of WSCC 9 Bus test system using MATLAB

SUMMARY

An optimal controller has been designed for automatic generation control (AGC) of two-area restructured power system. The performance of the controller has been studied for two cases: (a) when the tie line connecting the two areas consists of parallel EHVAC and HVDC lines and (b) when HVDC link is absent and only ac tie line acts as interconnection. The comparison has been done for the two cases in terms of time taken to damp out oscillations of frequency in each area, tie-line power exchange between the two areas and power generated by each generator when there is change in load. The simulation results indicate that control performance improves when HVDC link is connected in parallel with EHVAC tie line and output of the dc block is considered as additional state for the optimal controller. Detailed simulation studies were carried out for load demand by DISCOs as per cotracted condition as well as for bilateral contract violation condition. Optimal controller gives better dynamic response compared to conventional PI controller. AGC dynamic response is further improved by using combined optimal fuzzy controller. Particle swarm optimization (PSO) technique has been used for tuning the fuzzy controller. The results of the two area thermal–thermal system indicate better control performance in terms of peak overshoot and settling time by PSO tuned combined optimal fuzzy controller as compared to the un-tuned controller. Copyright © 2011 John Wiley & Sons, Ltd.

Application of AI supported optimal controller for automatic generation control of a restructured power system with parallel AC–DC tie lines

Voltage instability is a major problem in power system it seldom results in voltage collapse and blackout. FACTS devices can be used to maintain voltage stability by controlling active and reactive power and increase voltage stability margin. Optimal location of these devices is also an important issue. In this paper static var compensator (SVC) is used to improve voltage stability. Optimal location of SVC is found by continuation power flow and by finding fast voltage stability index. SVC is placed at optimal location and its effect on improving voltage stability, loadability limit and reducing power losses have been studied under normal as well as contingency conditions. Two types of contingencies are considered, transmission line (N − 1) contingency and generator outage contingency. The proposed work is tested in IEEE 14 bus test system.

Optimal location of SVC for improvement in voltage stability of a power system under normal and contingency condition

Accurate estimation of a phasor, frequency, and rate of change of frequency during changing power system condition is important to initiate precise control action for reliable power system operation. Conventional phasor estimation techniques cannot estimate the phasor accurately during dynamic conditions of power system. Furthermore, the phasor-based frequency estimation algorithms are being affected under such conditions. In this study, both angle and amplitude modulation parameters are considered in the signal model to improve the accuracy of the phasor estimation. The method uses Taylor's series expansion to linearise the signal model and computes the signal parameters using least squares. The method first computes the phasor using estimated parameters of the signals, subsequently calculates the frequency and rate of change of frequency. The performance of the proposed method is evaluated for standard test signals. Real signals recorded in numerical relay are used to assess the performance of the proposed method. The results are compared with the available method and found that the method can supplement the existing methods used in phasor measurement units and intelligent electronic devices.

https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-smt.2018.5391

Sanjay Kumar Sinha

Papers

Application of GA and PSO Tuned Fuzzy Controller for AGC of Three Area Thermal- Thermal-Hydro Power System

Power flow study and contingency status of WSCC 9 Bus test system using MATLAB

Application of AI supported optimal controller for automatic generation control of a restructured power system with parallel AC–DC tie lines

Optimal location of SVC for improvement in voltage stability of a power system under normal and contingency condition

Accurate phasor and frequency estimation during power system oscillations using least squares