Social Welfare Maximization of Competitive Congested Power Market Considering Wind Farm and Pumped Hydroelectric Storage System

Dawn, Subhojit; Gope, Sadhan; Das, Subrata; Ustun, Taha Selim

doi:10.3390/electronics10212611

Cited by 18 publications

(10 citation statements)

References 26 publications

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“…Though in case it has been observed that the speed and the force of the air cannot be controlled by the developer as a result of this the developer finds it difficult to match a high-speed containing air and convert them into electrical energy as well. Due to this uncontrolling power of the air, the output generated after the conversion has also become out of control and out of expectation as well [7].…”

Section: Power Quality Issues Of Wind Farmsmentioning

confidence: 99%

Study on Grid-Connected Power Quality Improvement of Wind Farms Based on Repetitive Controller

Zhu,

Lv,

et al. 2024

SCPE

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The project highlights the wind energy and the process followed in the wind farms in order to generate the energy by using wind power and wind capacity as well. Moreover, it has been observed that wind energy is also considered one of the most effective electrical energy sources. The application of wind energy can be beneficial for different aspects of the business sectors of different countries across the globe and this is possible because of its cost-effectiveness. Furthermore, this study encompasses the strategies employed within wind farms to preserve and efficiently harness wind power for the generation of electrical energy. Notably, the project delineates the utilization of a diverse array of instruments, each instrumental in the conversion of wind power into valuable wind energy. Beyond the realm of technology, wind farms grapple with a spectrum of formidable challenges, stemming from the inherently capricious nature of wind. In addition, various issues concerning power quality and the stability of the power system have also been identified within these wind farms. To ameliorate these multifaceted challenges, the project introduces a range of meticulous control measures for implementation.

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Section: Power Quality Issues Of Wind Farmsmentioning

confidence: 99%

Study on Grid-Connected Power Quality Improvement of Wind Farms Based on Repetitive Controller

Zhu,

Lv,

et al. 2024

SCPE

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show abstract

“…In Basu et al (2022b), the cuckoo search algorithm (CSA) was proposed to effectively maximize SW through the optimal placement and sizing of TCSC devices. Dawn et al (2021) introduced the MFO algorithm to address the congested market-clearing power problem, integrating wind and pumped hydroelectric storage systems in a deregulated environment, showcasing improved SW post-integration. Mixed-integer programing (MIP) was introduced in Khaloie et al (2020) to optimize profit and minimize emissions in RES-integrated power systems within a deregulated power sector, accounting for uncertainties associated with electricity market prices and RESs output through scenario characterization.…”

Section: Literature Reviewmentioning

confidence: 99%

Social welfare maximization in deregulated power market incorporating wind power plants using metaheuristic algorithm

Raturi,

Jarial,

Sood

et al. 2023

Wind Engineering

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The increasing integration of renewable energy sources (RESs), particularly wind power plants (WPP), into deregulated power markets introduces complexities in optimizing social welfare (SW). This article proposes a recent metaheuristic algorithm to address this challenge and maximize SW while accounting for the presence of WPP and the inherent uncertainty associated with wind power forecasting. The proposed algorithm optimizes generation scheduling and demand-side bidding strategies in the deregulated power market to maximize SW while ensuring economic efficiency. To validate the effectiveness and robustness of the proposed algorithm, MATLAB simulations are conducted on IEEE 30 and IEEE 118-bus systems. The results demonstrate that the proposed algorithm provides promising solutions for maximizing SW, especially in the context of incorporating WPP. This research contributes to the advancement of power market optimization methods and promotes the seamless integration of RESs, fostering a more sustainable energy future.

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“…Likewise, the CSA technique for LFC of a multi-area power system is used in [38]. Firefly (FA) based optimization is studied in [39,40]. GWO techniquebased LFC is reported in [41].…”

Section: Related Workmentioning

confidence: 99%

Novel COVID-19 Based Optimization Algorithm (C-19BOA) for Performance Improvement of Power Systems

et al. 2022

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The ongoing pandemic due to novel coronavirus disease-2019 (COVID-19) has rapidly unsettled the health sector with a considerable fatality rate. The main factors that help minimize the spread of this deadly virus are the proper use of masks, social distancing and antibody growth rate in a person. Based on these factors, we propose a new nature-inspired meta-heuristic algorithm named COVID-19 Based Optimization Algorithm (C-19BOA). The proposed C-19BOA mimics the spread and control behavior of coronavirus disease centered on three containment factors: (1) social distancing, (2) use of masks, and (3) antibody rate. Initially, the mathematical models of containment factors are presented, and further, the proposed C-19BOA is developed. To ascertain the effectiveness of the developed C-19BOA, its performance is verified on standard IEEE mathematical benchmark functions for the minimization of these benchmark functions and convergence to the optimal values. These performances are compared with established bio-inspired optimization algorithms available in the literature. Finally, the developed C-19BOA is applied on an electrical power system load–frequency–control model to test its effectiveness in optimizing the power system parameters and to check its applicability in solving modern engineering problems. A performance comparison of the proposed C-19BOA and other optimization algorithms is validated based on optimizing the controller gains for reducing the steady-state errors by comparing the effective frequency and tie-line power regulation ability of an industrially applied Proportional–Integral–Derivative controller (PID) and Active Disturbance Rejection controller (ADRC). Moreover, the robustness of C-19BOA optimized PID and ADRC gains is tested by varying the system parameters from their nominal values.

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Social Welfare Maximization of Competitive Congested Power Market Considering Wind Farm and Pumped Hydroelectric Storage System

Cited by 18 publications

References 26 publications

Study on Grid-Connected Power Quality Improvement of Wind Farms Based on Repetitive Controller

Study on Grid-Connected Power Quality Improvement of Wind Farms Based on Repetitive Controller

Social welfare maximization in deregulated power market incorporating wind power plants using metaheuristic algorithm

Novel COVID-19 Based Optimization Algorithm (C-19BOA) for Performance Improvement of Power Systems

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