Deregulated Automatic Generation Control using Novel Opposition-based Interactive Search Algorithm Cascade Controller Including Distributed Generation and Electric Vehicle

Raj, Utkarsh; Shankar, Ravi

doi:10.1007/s40998-019-00306-3

Cited by 30 publications

(13 citation statements)

References 32 publications

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“…6.00%, 70.13%, 75.00% for FDO based FOI-PD controller also provides an improvement of 53.62%, 4.96%, and 6.37% in Ts for load frequency of 1 f  ,…”

mentioning

confidence: 92%

“…Regulations that govern all the electricity transactions and auxiliary services such as automatic generation control taken by the GENCOs and DISCOs are usually handled by a body known as Independent System Operator (ISO) [6,7]. In this regard, several control approaches have been proposed previously by various researchers to control the system frequency and tie-line power of the interconnected system.…”

Section: Introductionmentioning

confidence: 99%

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Improved-Fitness Dependent Optimizer Based FOI-PD Controller for Automatic Generation Control of Multi-Source Interconnected Power System in Deregulated Environment

et al. 2020

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This paper presents a Fractional Order Integral-Proportional Derivative (FOI-PD) controller for Automatic Generation Control (AGC) of two-area Interconnected Power System (IPS) with six multiple generations units in a restructured environment. Further, the two-area IPS is composed of multiple nonlinearities with Time Delay (TD), Boiler Dynamic (BD), Governor Dead Zone/ Band (GDZ/ GDB) and Generation Rate Constraint (GRC). The gains of the proposed controller are optimized by a most recent powerful meta-heuristic algorithm known as Improved-Fitness Dependent Optimizer (I-FDO). The efficiency of the proposed approach is compared with other techniques such as Firefly Algorithm (FA), Fitness Dependent Optimizer (FDO) and Teaching Learning Based Optimization (TLBO) algorithms. Further, to enhance the performance of the system, Redox Flow Batteries (RFB) is incorporated in each area and Thyristor Controlled Series Compensator (TCSC) in the tie-line of the power system. Results reveal that our proposed approach performs superior in terms of less Overshoot (Os), Settling time (Ts) and Undershoot (Us). Robustness of the proposed controller is verified by changing system parameters within a range of ± (25) %.

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“…6.00%, 70.13%, 75.00% for FDO based FOI-PD controller also provides an improvement of 53.62%, 4.96%, and 6.37% in Ts for load frequency of 1 f  ,…”

mentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Improved-Fitness Dependent Optimizer Based FOI-PD Controller for Automatic Generation Control of Multi-Source Interconnected Power System in Deregulated Environment

et al. 2020

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“…Sitikantha et al [27] proposed 2-degree of freedom FOPID controller to enhance the dynamic performance of an interconnected system. Raj and Shankar [28] combined 2-DOF PID controller with fractional order (FO) ID controller for LFC of a three area multi source restructured system. A 3-DOF non-integer/FO controller cascaded with PD controller is proposed by Jena et al [29] for a two-area interconnected system.…”

Section: Introductionmentioning

confidence: 99%

“…Selection of the gain parameters of the controllers play prime role for the better performance of the controllers. Hence several computational algorithms such as genetic algorithm (GA) [2], particle swarm optimisation (PSO) [8], bacteria foraging algorithm [10], symbiotic organism search algorithm [9,18], hybrid of PSO and pattern search algorithm [14], teaching learning based optimisation [15], differential evolution [17], hybrid of GA and fire-fly [20], whale optimisation [23,27], sine-cosine algorithm [25], flower pollination algorithm [21], interactive search algorithm [28], wild goat algorithm [29], grey wolf optimisation technique [30] etc. applied for tuning of the controller gains.…”

Section: Introductionmentioning

confidence: 99%

Novel application of Selfish Herd Optimisation based fractional order cascaded controllers for AGC study

Sahoo

Jena

Sahu

et al. 2021

IJEEI

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In a modern, and complex power system (PS), robust controller is obligatory to regulate the frequency under uncertain load/parameter change of the system. In addition to this, presence of nonlinearities, load frequency control (LFC) of a Power System becomes more challenging which necessitates a suitable, and robust controller. Single stage controller does not perform immensely against aforesaid changed conditions. So, a novel noninteger/fractional order (FO) based two-stage controller incorporated with 2degrees of freedom (2-DOF), derivative filter (N), named as 2-DOF-FOPIDN-FOPDN controller, is adopted to improve the dynamic performance of a 3-area power system. Each area of the power system consists of both non-renewable and renewable generating units. Again, to support the superior performance of 2-DOF-FOPIDN-FOPDN controller, it is compared with the result produced by PID, FOPID, and 2-DOF-PIDN-PDN controllers. The optimal design of these controllers is done by applying Selfish Herd Optimisation (SHO) technique. Further, the robustness of the 2-DOF-FOPIDN-FOPDN controller is authenticated by evaluating the system performance under parameter variation. The work is further extended to prove the supremacy of SHO algorithm over a recently published article based on pathfinder algorithm (PFA).

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“…Sitikantha et al (2020) proposed two-degree of freedom FOPID controller to enhance the dynamic performance of an interconnected system. Raj and Shankar (2020) combined two-degree of freedom PID controller with fractional order ID controller for LFC of a three-area multi-source restructured system. Shankar et al (2017) have done a review on various control strategies tuned by different optimisation techniques for LFC of both conventional and restructured power system along with application of several energy storage devices.…”

Section: Introductionmentioning

confidence: 99%

Selfish Herd Optimisation tuned fractional order cascaded controllers for AGC Analysis

Sahoo

Jena

Ray³

et al. 2021

Soft Comput

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This article deals with automatic generation control (AGC) of a three-area power system having five diversified sources of generation like thermal unit, hydro unit, wind unit, diesel unit and a gas unit are interconnected together. Area-1 of the power system consists of a thermal, a hydro and a wind unit, area-2 has a thermal, a hydro and a diesel unit and area-3 consists of a thermal, a hydro and a gas unit. To make system more realistic different nonlinear components like governor dead band (GDB), generation rate constraint (GRC), boiler dynamics and communication delay are taken into account. A novel two-degree of freedom fractional order PID with derivative filter and fractional order PD with derivative filter (2-DOF-FOPIDN-FOPDN) cascaded control strategy is adopted to improve the dynamic performance of the power system. The results obtained with the proposed cascaded controller are compared with that of PID, FOPID and 2-DOF-PIDN-PDN cascaded controller to prove its superiority. To enumerate the gains of different controllers optimally, a recently developed bio-inspired optimisation algorithm named selfish herd optimisation (SHO) is capitalised. Further, the work is extended by taking a two-area hydro-thermal system to compare the result of the SHO tuned PID controller with that of modern hybrid firefly algorithm-pattern search (hFA-PS) technique. Transient analysis is carried out by applying a sudden load disturbance of 0.01 p.u in area-1 and the robustness of the controller is examined by varying both system parameters and applying a randomly varying load in area-1. From the investigation it is concluded that the 2-DOF-FOPIDN-FOPDN controller gives a flawless and a distinct performance.

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Deregulated Automatic Generation Control using Novel Opposition-based Interactive Search Algorithm Cascade Controller Including Distributed Generation and Electric Vehicle

Cited by 30 publications

References 32 publications

Improved-Fitness Dependent Optimizer Based FOI-PD Controller for Automatic Generation Control of Multi-Source Interconnected Power System in Deregulated Environment

Improved-Fitness Dependent Optimizer Based FOI-PD Controller for Automatic Generation Control of Multi-Source Interconnected Power System in Deregulated Environment

Novel application of Selfish Herd Optimisation based fractional order cascaded controllers for AGC study

Selfish Herd Optimisation tuned fractional order cascaded controllers for AGC Analysis

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