Load frequency control of two area power system with AC-DC tie line using PSO optimized controller

Nagarjuna, Nandala; Shankar, Gauri

doi:10.1109/icpace.2015.7274948

Cited by 16 publications

(3 citation statements)

References 9 publications

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“…Particle swarm optimization has been utilized to tune the fuzzy logic controller for the frequency restoration of multi-area power system (Jaber et al, 2013). PSO is used for obtaining the optimal PID parameters for two area system with integral square error as cost function and showing best convergence profile (Nagarjuna and Shankar, 2015). PID optimal parameters obtained for two and three area power system using firefly algorithm considering the generation rate constraint and governor dead band (Padhan et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Robust Load Frequency Control of Hybrid Solar Power Systems Using Optimization Techniques

Hassan

Ramli²,

Milyani³

2022

Front. Energy Res.

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It is necessary to predict solar photovoltaic (PV) output and load profile to guarantee the security, stability, and reliability of hybrid solar power systems. Severe frequency fluctuations in hybrid solar systems are expected due to the intermittent nature of the solar photovoltaic (PV) output and the unexpected variation in load. This paper proposes designing a PID controller along with the integration of a battery energy storage system (BESS) and plug-in hybrid electric vehicle (PHEV) for frequency damping in the hybrid solar power system. The solar PV output is predicted with high accuracy using artificial neural networks (ANN) given that solar irradiance and cell temperature are inputs to the model. The variation in load is also forecasted considering the factors affecting the load using ANN. Optimum values of the PID controller have been found using genetic algorithm, particle swarm optimization, artificial bee colony, and firefly algorithm considering integral absolute error (IAE), integral square error (ISE), and integral time absolute error (ITAE) objective functions. IAE, ISE, ITAE, Rise time, settling time, peak overshoot and maximum frequency deviation have been measured for comparison and effectiveness. The transient behavior has been further improved by utilizing the power from BESS/PHEV to the power system. The results demonstrate the efficacy of the suggested design for frequency control using the genetic algorithm method along with ISE objective function compared with those obtained from the conventional, particle swarm optimization, artificial bee colony, and firefly algorithm techniques.

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Section: Introductionmentioning

confidence: 99%

Robust Load Frequency Control of Hybrid Solar Power Systems Using Optimization Techniques

Hassan

Ramli²,

Milyani³

2022

Front. Energy Res.

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“…Many researches have been conducted to resolve the issue of frequency deviation by employing various regulators like the traditional PI or PID controller. These attempts were not fruitful in the presence of elements that are either varying with time or non-linear [2]. Designing a reliable controller using Artificial Intelligence (AI) approaches such as Ant colony optimization, and Genetic Algorithm solves this challenge [3].…”

Section: Introductionmentioning

confidence: 99%

Application of Heuristic Search Algorithm to Design Automatic Generation Control in Power System

Patil¹,

Salunke²,

Karajgi³

2022

AJCT

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This paper presents a Heuristic Search Algorithm, Conventional Particle Swarm Optimization (CPSO) which is employed to design Automatic Generation Control (AGC) for an isolated power system to minimize the variation in frequency due to changes in load demand. Further, Advanced Particle Swarm Optimization (APSO) with a velocity update strategy is introduced to ensure that the particles will orbit toward their optimum point quickly which guarantees faster convergence.

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“…A review of the literature suggests that a lot of work has been done in the domain of LFC using traditional controllers like PI, PID [6]. Several scholars have discussed the work of LFC of interlinked power houses in recent years.…”

Section: Introductionmentioning

confidence: 99%

Optimal Control Strategy for Performance Improvement of Hybrid Power System using Grey Wolf Optimised PIID Controller

Quadir¹,

Tomar²,

Safiullah³

et al. 2021

New Frontiers in Communication and Intelligent Systems

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The problems of load frequency control (LFC) using optimal controllers are discussed in this paper. Two area power systems are implemented and analysed in each region as a result of abrupt load changes. The goal is to prevent errors caused by frequency and tie- line electric supply disruptions with the aim to assure cost effective power generation. P/ PI/ PID/ PIID compensating schemes have been developed and successfully tested. The gains of P/ PI/ PID/ PIID controllers are optimised using Grey Wolf algorithm on a two area power-network. The generating Stations used in this whole operation are Wind Thermal and Solar Thermal. The performances of said controllers are compared and an optimal one is chosen. When the findings of the suggested approach are compared to those of some recently published approaches, the benefits of the proposed approach become clear. The sensitivity analysis is carried out, demonstrating the proposed approach’s ability to cope with large changes in device parameters. This method is tested under a variety of load conditions.

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Load frequency control of two area power system with AC-DC tie line using PSO optimized controller

Cited by 16 publications

References 9 publications

Robust Load Frequency Control of Hybrid Solar Power Systems Using Optimization Techniques

Robust Load Frequency Control of Hybrid Solar Power Systems Using Optimization Techniques

Application of Heuristic Search Algorithm to Design Automatic Generation Control in Power System

Optimal Control Strategy for Performance Improvement of Hybrid Power System using Grey Wolf Optimised PIID Controller

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