Application of Quasi Opposition Based Whale Algorithm for LFC of Multi-area Deregulated Power System Using Fractional Controller

Vidyarthi, Prabhat Kumar; Kumar, Ashiwani; Aryan, Pulakraj

doi:10.1109/icefeet49149.2020.9186971

Cited by 7 publications

(6 citation statements)

References 19 publications

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“…As a result, selecting an effective optimization approach is an important and essential challenge in controller design. To solve these issues, the researcher created the following algorithms: fruit fly algorithm, moth swarm algorithm, quasi opposition-based whale algorithm (QOWOA) [20], Harris hawk's optimization (HHO) [21], particle swarm optimization (PSO), electro-search algorithm supported by balloon effect, and genetic algorithm (GA). Furthermore, particular attention is being given to the use of various optimization methods to help solve technical problems, most notably the AGC of the CPS challenge.…”

Section: Literature Reviewmentioning

confidence: 99%

Renewable sources with virtual inertia penetration in multi area interconnected AGC using a modified MPC controller

Vidyarthi,

Kumar,

Kumari

et al. 2024

Eng. Res. Express

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The challenge of controlling frequency deviation becomes more difficult as the complexity of a power plant increases. The robustness of the controller has a major impact on the stability of a complex power system (CPS). Due to the hybridization of CPS basic Automatic Generation Control (AGC) controllers (PID, FOPID, and TID), they are insufficient to give optimal performance to a plant. This requires a robust controller. So, a modified MPC controller has been proposed and evaluated by comparing it with several existing controllers, which gives optimal performance in terms of overshoot, undershoot, and settling time and improves its performance approximately 45%. This research discusses a combined AGC model and control for a three-area CPS, where each producing area consists of a thermal plant, a Diesel power plant, and a Solar Thermal Power Plant (STPP). The results of the modified MPC are superior to those of the basic controller compared to several existing controllers. An improved version of Sea-horse Optimization (SHO) has been proposed to optimize the different controller settings. The superiority of the SHO is shown by a comparison with some well-known, current meta-heuristic methods. The higher penetration levels of renewable energy sources (RESs) reduced system inertia which further deteriorate frequency response in CPS. To overcome these challenges, virtual inertia (VI) has been implemented with MPC. VI is applied to improve the performance of the AGC of the interconnected CPS along with emphasizing the nature of intermittent RESs of PV and wind energy. The thorough study findings provide compelling evidence for the effectiveness and efficiency of the recommended control strategies and also point to the possibility of applying them in actual power systems to improve stability and performance.

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Section: Literature Reviewmentioning

confidence: 99%

Renewable sources with virtual inertia penetration in multi area interconnected AGC using a modified MPC controller

Vidyarthi,

Kumar,

Kumari

et al. 2024

Eng. Res. Express

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“…A new and novel Quasi Opposition based Whale Algorithm (QOWOA) modifying the parameters of PIDN-FOPD controller is proposed for the frequency correction of two areas under poolco transaction only [198].…”

Section: ) Solar/photovoltaic Power Generationmentioning

confidence: 99%

A Comprehensive Survey on the Current Trends in Improvising the Renewable Energy Incorporated Global Power System Market

Saranyaa

Fathima

2023

IEEE Access

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Power generation all over the world is slowly being taken over by the renewable energy technologies to alleviate the energy crisis, as well as provide clean and green energy. Therefore, in the foreseeable future, the renewable energy technologies most likely may compete on par level with the conventional energy generation. The near future holds the rebalancing of the global power system market, which mandates, the interpretation of the upcoming and current trends revolving around the power market, pricing and the supply-demand balance with focus on the various renewable energy sources. Levelised Cost of Energy (LCOE) is the present global evaluator that ensures the fair valuation of the generation costs and the grid parity achievement for the various generating technologies. With the power market rebalancing, both regulated and deregulated configuration, have a requisite duty of maintaining the power generation and demand balance. Therefore, this paper does an extensive survey on the recent trends and methodologies in the levelised cost estimation, demand-supply balance with focus on the various renewable generating sources.

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“…The optimal solution of all 2n possibilities is used to filter out the best n population and advance it to the subsequent process steps. 21 The OSHO algorithm consists of five main stages: (1) Initialization, (2) Generate opposite number, (3) Seahorse Movement, (4) Position Update, and (5) Optimization Termination. In the initialization stage, the algorithm generates an initial population of solutions randomly.…”

Section: Proposed Optimization Techniquementioning

confidence: 99%

“…2 n possibilities are produced for each population using opposition‐based optimization. The optimal solution of all 2 n possibilities is used to filter out the best n population and advance it to the subsequent process steps 21 …”

Section: Proposed Optimization Techniquementioning

confidence: 99%

“…However, they have drawbacks such as being computationally time‐consuming, requiring so many iterations, slumping, getting keeps in local minima, and depending on their initial condition for selecting the most suitable parameters. In order to prevail these challenges, the researcher developed meta‐heuristic algorithms such as genetic algorithm (GA), particle Swarm optimization (PSO), Whale optimization (WOA), 20 quasi‐opposition‐based Whale Algorithm (QOWOA), 21 Jaya optimization, 22 moth swarm algorithm and electro‐search algorithm based on balloon effect 23 . Furthermore, a special emphasis is being placed on the application of various optimization approaches to help in the resolution of engineering difficulties, especially the AGC of the power system problem.…”

Section: Introductionmentioning

confidence: 99%

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A modified tilt controller for AGC in hybrid power system integrating forecasting of renewable energy sources

Vidyarthi,

Kumar

2023

Optim Control Appl Methods

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This article emphasizes the intermittent characteristics of renewable energy sources (RESs) and explores the role of forecasting in improving the performance of the automatic generation control (AGC) mechanism of the interconnected power system. Due to hybridization of power system basic AGC controller (PID, TID, and ID‐T) are insufficient to stabilized the system parameters. So, a new type of fractional order integral tilted derivative controller (FIDN‐T) has been proposed, which give better performance in terms of settling time, undershoot and overshoot in case of RESs with real data forecasting also. FIDN‐T has been compared with some existing controller which give the results better than basic controller. In order to optimize the different parameters of the proposed controller, a new modified Opposition‐based Sea‐horse Optimization (OSHO) algorithm has been proposed. The OSHO is compared with a few existing, well‐known meta‐heuristic algorithms to show its superiority. The analysis has been conducted under different operating conditions, including step and random disturbances as well as the IEEE‐39 bus, to verify the robustness as well as adaptability of the suggested controller. The comprehensive results of the studies provide strong evidence in support of the effectiveness and efficacy of the suggested control methods and suggest that it has the potential to be implemented in real‐world power systems for improved performance and stability.

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Application of Quasi Opposition Based Whale Algorithm for LFC of Multi-area Deregulated Power System Using Fractional Controller

Cited by 7 publications

References 19 publications

Renewable sources with virtual inertia penetration in multi area interconnected AGC using a modified MPC controller

Renewable sources with virtual inertia penetration in multi area interconnected AGC using a modified MPC controller

A Comprehensive Survey on the Current Trends in Improvising the Renewable Energy Incorporated Global Power System Market

A modified tilt controller for AGC in hybrid power system integrating forecasting of renewable energy sources

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