Development of Available Transfer Capability Enhancement Using Intelligent Genetic Algorithm for IEEE Bus System

Rohini, R.; Rao, D. Nageswara; Ravi, S.; Kumar, Vaishnavi

doi:10.31209/2018.100000015

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…These devices replace the traditional methods in order to have flexible operation, reduced cost with environmental consideration. The installation of FACTS devices like SVC and TCSC may improve the capacity of the power transmission system during regular and contingency conditions [1]. Here, ATC is calculated by using continuous power flow while accounting the thermal limit and voltage profile.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of ATC with FACTS Devices in Deregulated Power System Considering Various Contingency and Benefit Margins

Sibbala Bhargava Reddy,

R. Ashok Kumar,

G. Sreenivasan

2024

ARASET

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The global electric power systems are under stressed condition because of increased per capita power consumption and ever-growing load demand. It is difficult to modify existing infrastructure of transmission systems to meet increasing load demand. The volume of electric power transmitted depends on the real and reactive power supply and the availability of margin in transmission system. Available Transfer Capability is an estimation of additional power transfer capability of the existing transmission system for a further market activity over and above the already committed power transactions. Factors such as weather, line and generator outages must be taken into account when computing the rigorous value of ATC. This paper focuses on enhancing the ATC limit of a system by employing STATCOM and Whale Optimization Algorithm for tuning system variables and to determine optimal size and location. An investigation has been carried out to understand the impacts of ATC by implementing line and generator outages in the test system. Additionally, an investigation has been done to realise the various benefit margins like ETC, TRM and CBM. The competence of the proposed methodology is validated by conducting different case studies on IEEE-30 bus test system using MATLAB for various bilateral and multilateral transactions.

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Section: Introductionmentioning

confidence: 99%

Enhancement of ATC with FACTS Devices in Deregulated Power System Considering Various Contingency and Benefit Margins

Sibbala Bhargava Reddy,

R. Ashok Kumar,

G. Sreenivasan

2024

ARASET

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“…Genetic algorithm (GA) [10]-based methodology is utilized to assess the likelihood of effective handoff in heterogeneous remote systems (HWNs) to expand, limit, and or execute a system. GA has been comprehensively explored for various IoT-based applications [11][12][13][14][15][16][17], so it is interesting to see its performance for wireless communication.…”

Section: Introductionmentioning

confidence: 99%

CSVAG: Optimizing Vertical Handoff Using Hybrid Cuckoo Search and Genetic Algorithm-Based Approaches

et al. 2022

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One of the primary challenges that wireless technology in the present generation is facing is always best connected (ABC) service. This is possible only when the wireless overlay networks follow a cooperative and coordinated process. Vertical handoff is one such process. Concerning this process, the main challenge is to develop algorithms that take care of optimal connection management with proper resource utilization for uninterrupted mobility. In this paper, we develop a new hybrid cuckoo search (CS) and genetic algorithm (GA) that maximizes the performance of heterogeneous wireless systems in terms of minimizing latency, handover failure probability, and enhancing the throughput. We focus on an optimized simulation framework to demonstrate the advantage of our hybrid model. It can be discerned from the simulation analysis that the proposed hybrid technique increases throughput by 17% and 8% compared to the cuckoo search and genetic algorithms applied individually. The performance of the proposed scheme is promising for applications wherein the handoff mechanisms have to be optimized to control frequent handoffs to further reduce the power consumption of user equipment.

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Dynamic transmission capability calculation using bioinspired optimization

Peres

Filho

Coelho

et al. 2021

International Journal of Electrical Power & Energy Systems

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Development of Available Transfer Capability Enhancement Using Intelligent Genetic Algorithm for IEEE Bus System

Cited by 3 publications

References 6 publications

Enhancement of ATC with FACTS Devices in Deregulated Power System Considering Various Contingency and Benefit Margins

Enhancement of ATC with FACTS Devices in Deregulated Power System Considering Various Contingency and Benefit Margins

CSVAG: Optimizing Vertical Handoff Using Hybrid Cuckoo Search and Genetic Algorithm-Based Approaches

Dynamic transmission capability calculation using bioinspired optimization

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