Differential evolution algorithm based load frequency control in a two-area conventional and renewable energy based nonlinear power system

Zamee, Muhammad Ahsan; Islam, Kamrul; Ahmed, Ashik; Zafreen, Kazi Rehnuma

doi:10.1109/icdret.2016.7421476

Cited by 7 publications

(4 citation statements)

References 6 publications

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“…Such an algorithm requires no assumptions about the underlying optimization problem and may successfully investigate a wide design space while displaying robustness in multi-modal situations. DE differs from other algorithms in the evolution process [97,98]. Figure 5 depicts a flow chart of traditional differential evolution.…”

Section: Differential Evolution Techniquementioning

confidence: 99%

“…Using a set of randomly generated initial populations, DE picks two distinct individual vectors from rand (0, 1) according to a predetermined procedure and subtracts them together to produce a unique vector. In the first stage, preliminary parameter vectors are developed, and then the DE algorithm creates new individuals as shown below [98]:…”

Section: Differential Evolution Techniquementioning

confidence: 99%

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A Review of Load Frequency Control Schemes Deployed for Wind-Integrated Power Systems

et al. 2023

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Load frequency control (LFC) has recently gained importance due to the increasing integration of wind energy in contemporary power systems. Hence, several power system models, control techniques, and controllers have been developed to improve the efficiency, resilience, flexibility, and economic feasibility of LFC. Critical factors, such as energy systems, resources, optimization approaches, resilience, and transient stability have been studied to demonstrate the uniqueness of the proposed design. This paper examines the most recent advances in LFC techniques for wind-based power systems. Moreover, the use of classical, artificial intelligence, model predictive control, sliding mode control, cascade controllers, and other newly designed and adopted controllers in the LFC area is thoroughly examined. Statistical analysis and a comparison table are used to evaluate the advantages, disadvantages, and applications of various controllers. Finally, this paper presents a comprehensive overview of contemporary and other widely used soft computing tools for the LFC issue. This detailed literature review will assist researchers in overcoming the gap between current progress, application, limitations, and future developments of wind energy in LFC.

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Section: Differential Evolution Techniquementioning

confidence: 99%

Section: Differential Evolution Techniquementioning

confidence: 99%

A Review of Load Frequency Control Schemes Deployed for Wind-Integrated Power Systems

et al. 2023

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“…A population-based optimization approach is called the Differential Evolution algorithm (DE) [10,11]. It functions with two populations that are represented by an older and a younger generation.…”

Section: Differential Evolution (De)mentioning

confidence: 99%

Improved load frequency control of 2-area power system using nature inspired algorithm

Kumar,

Kasireddy,

Rao

et al. 2023

First International Conference on Smart Systems and Green Energy Technologies

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Automatic generation control is required in power systems to satisfy customer load requirements without disturbing the power quality with voltage and frequency swings. Any sudden load perturbations will cause a mismatch of power between generation and demand. Small disturbances can be self-managed by the synchronous generators. But the large disturbances may lead to an unstable system. In this case, speed governors come into action which is primary speed control. But the decline in frequency still exists from the nominal value. Therefore, to ensure the power quality, Automatic generation control is needed. The goal of Automatic generation control (AGC) is to hold system frequency at or very close to a specified nominal value with intelligent controllers (PID) which is a secondary speed control using frequency sensors.Most of the methods used for automatic generation control are optimization control methods. The main goal is to improve the generation controller performance index by choosing a good optimal control algorithm so that we will get minimized change in frequency in a faster time. In this paper, we study & utilize some of the nature-inspired optimization algorithms to better regulate the automated production of linked power systems by using PID controllers. We compare these results of two area-connected thermal power systems with each algorithm and try to reduce the minimum frequency change mainly to get better settling time characteristics.

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“…Shankar et al analyzed genetic algorithm–based LFC in two‐area interconnected power system. Zamee et al discussed differential evolution algorithm, which is an advanced form of genetic algorithm for LFC in two‐area power plant. Even though these algorithms offered better performance than PI‐controlled LFC, some of the algorithms are off‐line, while many algorithms consume more processing time.…”

Section: Background Of Lfc In Multiarea Power Systemmentioning

confidence: 99%

Analysis of LFC in PV‐thermal‐thermal interconnected power system using fuzzy gain scheduling

Revathi

Kumar

2020

Int Trans Electr Energ Syst

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Summary In this paper, load frequency control of photovoltaic (PV)‐thermal‐thermal interconnected three area power system is proposed with fuzzy gain scheduling controller. Grid‐connected PV power system has quick rising annual rate and is rapidly becoming a significant part of the energy balance in the power systems. Reduction in the PV modules cost increases the application of PV. In recent days, increase in load demand necessitates the interconnected power systems. Power quality concerning frequency plays a major role in life and efficiency of the load. The fuzzy logic controller is an efficient controller to deal with the unknown data; in the LFC, the load demand is unpredictable; hence, fuzzy is applied for LFC in this analysis. Proportional integral (PI) controller plays a significant role in real‐time LFC. Therefore, in this article, fuzzy gain scheduling controller is proposed to tune gains of PI controller to improve performance of interconnected power systems. To validate the performance of proposed system, it is compared with the conventional PI controller‐based LFC. The entire system is analyzed using Matlab with various loads.

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Differential evolution algorithm based load frequency control in a two-area conventional and renewable energy based nonlinear power system

Cited by 7 publications

References 6 publications

A Review of Load Frequency Control Schemes Deployed for Wind-Integrated Power Systems

A Review of Load Frequency Control Schemes Deployed for Wind-Integrated Power Systems

Improved load frequency control of 2-area power system using nature inspired algorithm

Analysis of LFC in PV‐thermal‐thermal interconnected power system using fuzzy gain scheduling

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