An intelligent approach for dynamic load frequency control with hybrid energy storage system

Vengatesh, R. Pon; Rajan, S. Edward; Sivaprakash, A.

doi:10.1080/1448837x.2019.1658278

Cited by 13 publications

(4 citation statements)

References 7 publications

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“…On the other hand, it is important to retrace the power system's inertia, which is ruined due to DGS's intermittent nature. Some works reported utilization of battery storage devices, 26 ultracapacitors, 27 and the DC capacitors used in power electronics converters with suitable inertia emulation techniques (IET) [28][29][30] to improve the system's inertia. Among these, utilizing DC capacitors for inertia emulation is effective as there is no need for extra devices.…”

Section: Preliminary Studies and Research Gapmentioning

confidence: 99%

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Exploration of novel optimal fuzzy‐based controller for enhancement of frequency regulation of deregulated hybrid power system with modified HVDC tie‐line

Murali

Shankar

2021

Int J of Intelligent Sys

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Recent advancements in the power system put forth various challenges to frequency regulation studies. These challenges show an immense impact on the power system's inertia and load pattern. The traditional load frequency control (LFC) mechanism may not be efficient to sustain the frequency regulation against these new challenges. Hence an intelligent, effective, and efficient controller is indispensable for various operating conditions of the power system.With this motive, a new intelligence-based controller (i.e., fuzzy (FOPI λ ) + PIDN) is proposed and explored for the LFC of the modern power system.Besides, an opposition-based volleyball premier league algorithm is deployed to obtain optimal control parameters for the most promising results. The justification of the controller is evaluated on a nonlinear interconnected hybrid deregulated power system for several case studies. The effectiveness of the proposed controller has been verified by comparing it with several popular strategies for the step and random perturbation in load. Also, the firmness in the dynamic response against a wide range of system parameter variations has been analyzed. Moreover, the participation of a modified high

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Section: Preliminary Studies and Research Gapmentioning

confidence: 99%

“…Researchers are paying serious attention to enhancing the LFC mechanism and keeping up with emerging advancements in the power system 2–30 . The literature survey has started with several soft computing‐based classical controllers used for LFC.…”

Section: Introductionmentioning

confidence: 99%

Exploration of novel optimal fuzzy‐based controller for enhancement of frequency regulation of deregulated hybrid power system with modified HVDC tie‐line

Murali

Shankar

2021

Int J of Intelligent Sys

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“…It is one of the metaheuristic methods and it follows the random search techniques. Tuning parameters required for the execution of the conventional PSO algorithm are acceleration coefficients (c 1 ,c 2 ), inertial weight(  ) and maximum velocity as given by equations( 1) and (2) [17,27]. Equation ( 1) is the velocity update equation and ( 2) is the positions update equation.…”

Section: Conventional Psomentioning

confidence: 99%

A novel particle swarm optimization algorithm for maximum power point tracking based photovoltaic system

Malarvizhi,

Kamala,

Sivasubramanian

2021

JEE

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In recent years, solar energy is effectively utilized as an alternate energy source for generating electricity. Maximum Power Point Tracking(MPPT) is applied to the photovoltaic (PV) system to extract maximum power (MP). Numerous algorithms are developed and implemented to extract the MP under varying environmental conditions. One such algorithm is the Particle Swarm Optimization algorithm(PSO).This article introduces a novel PSO algorithm with Cauchy distribution to track MP from the PV system. It is designed to overcome the drawback of slow convergence rate of conventional PSO. Parameters required for conventional PSO are inertial weight, acceleration coefficients, and a number of particles. In case of Cauchy PSO(CPSO), tuning parameter is the number of particles. In order to increase the convergence speed, Cauchy distribution is used instead of normal distribution function to generate the random numbers. The advantage of this algorithm is that it provides the global best-optimized result at a faster convergence speed. It has the ability to track the MP in extreme climatic conditions with varying loads. The proposed method outperforms the standard PSO and some of the existing methods in terms of quick convergence and also has a simplified structure.

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“…It is of the utmost importance to carry on contingency analyses, static and dynamic stability, and other frequency control studies [34][35][36][37][38]. This is also connected with the implementation of energy storage systems [39,40], expected rapid electromobility growth [41,42], and demand response management [43,44]. This paper aims to be another important update in terms of the smaller electrical loads and their frequency characteristics, which is an important baseline for many substantial safety and operation studies of the grid.…”

Section: Literature Reviewmentioning

confidence: 99%

Measurement of Static Frequency Characteristics of Home Appliances in Smart Grid Systems

et al. 2021

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The current transformation of power systems is aiming towards distributed source integration and general decentralization. Renewable energy sources and support of local energy supply create conditions for widespread use of new technologies and smart grids. As the electrical grids become more electrically independent, the importance of frequency control will rise. Stability of the system in such cases is no longer only relying on rotating inertia of generators as in the centralized grid. This known scenario has already been analyzed by many with computational models for optimal safety precautions of the grid. This paper aims to update the common home appliance frequency characteristics through measurements and compare them to those currently used. These devices were divided into two groups: general categorization and light sources. Subsequently, the frequency sensitivity coefficients were evaluated and analyzed home appliances were sorted into three categories according to the size of their frequency sensitivity coefficient values: positive, negative, and no effect. The results were compared with studies aimed at evaluating the static load characteristics. A simplified simulation of the frequency control, presented in the discussion section, was carried out to determine the consequences of the newly measured characteristics and concludes the paper.

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An intelligent approach for dynamic load frequency control with hybrid energy storage system

Cited by 13 publications

References 7 publications

Exploration of novel optimal fuzzy‐based controller for enhancement of frequency regulation of deregulated hybrid power system with modified HVDC tie‐line

Exploration of novel optimal fuzzy‐based controller for enhancement of frequency regulation of deregulated hybrid power system with modified HVDC tie‐line

A novel particle swarm optimization algorithm for maximum power point tracking based photovoltaic system

Measurement of Static Frequency Characteristics of Home Appliances in Smart Grid Systems

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