Available Transfer Capability Determination for the Electricity Market using Cuckoo Search Algorithm

Duong, Thanh Long; Nguyen, Thuan Thanh; Nguyen, Ngoc Anh; Tong, Kang

doi:10.48084/etasr.3338

Cited by 11 publications

(7 citation statements)

References 18 publications

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“…This method provides approximately a value close to the actual value of ATC. In [26], the author used Cuckoo Search Algorithm (CSA) to determine ATC affecting the system constraints. The experiment was conducted on IEEE 14 & 24 bus systems for contingency and normal situations.…”

Section: Related Workmentioning

confidence: 99%

Appraisal of Available Transfer Capability Determination Methods in Competitive Electricity Market

Meena¹,

Jain²,

Meena³

et al. 2022

ECS Trans.

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The existing power market is contentiously promoting sustainability and competitiveness in the electricity industry. It has raised the transmission networks' transfer capacity as an emerging area for researchers. The electricity production units and consumers share the same transmission network. All stakeholders try to generate power from cheaper sources to make more significant profit margins. This situation creates transmission congestion, violation of voltage and thermal limits, and system security threats. The accurate measurement and optimal use of the available transfer capability (ATC) shall resolve this issue up to some extent. Thus, efficient evaluation of ATC is needed to ensure system security, and it provides an open and trending research topic. This article presents a review of the various techniques for ATC determination and provides the characteristics, practices, and features of the methods. This analysis demonstrates the issues of ATC evaluation techniques and provides the research areas to the researchers.

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Section: Related Workmentioning

confidence: 99%

Appraisal of Available Transfer Capability Determination Methods in Competitive Electricity Market

Meena¹,

Jain²,

Meena³

et al. 2022

ECS Trans.

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show abstract

“…e objective functions of the OPF problem usually are considered consisting of three different types of fuel functions, namely, quadratic cost, piecewise quadratic cost, quadratic cost curve, and power loss, emission cost and voltage deviation. In addition, the objective of maximum social welfare [20] and available transfer capability [21] are also used when solving the OPF problem by heuristic optimization algorithms. In general, these methods are successfully applied in the OPF problem.…”

Section: Introductionmentioning

confidence: 99%

An Improved Equilibrium Optimizer Algorithm for Solving Optimal Power Flow Problem with Penetration of Wind and Solar Energy

Nguyen

et al. 2022

International Transactions on Electrical Energy Systems

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The paper is proposed an improved equilibrium optimizer (IEO) algorithm to solve the optimal power flow (OPF) problem with the participation of a renewable energy source (RES). In the proposed IEO method, the “exponential term” is replaced by a function that does not dependent on the number of iterations. This modification of the IEO algorithm increases exploration ability compared to EO algorithm. In addition, the exploration of the proposed IEO algorithm will not decrease according to the number of iterations which avoids to get stuck at the local optimal solution. The IEO algorithm is tested on two IEEE 30-bus and IEEE 118-bus systems with three different objective functions. The performance of the proposed IEO method is compared with equilibrium optimizer (EO), artificial ecosystem optimization (AEO), cuckoo search algorithm (CSA), teaching-learning-based optimization (TLBO), artificial bee colony (ABC), and many other existing methods. Besides, a simple probabilistic formula for calculating RES output power based on the Monte-Carlo simulation model is proposed in this paper to reduce the computation time for the OPF problem with RES. The simulation results obtained show that the proposed IEO algorithm has better quality of the solution as well as stability level compared to the original EO algorithm and other algorithm. Thus, the proposed IEO algorithm is also one of effective and reliable algorithms for handling OPF problem with RES.

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“…Recent years witnessed changes in optimal power flow (OPF) calculation as typified by artificial intelligence (AI) techniques 11 . A variety of AI methods for ATC calculation are genetic algorithm, 12 artificial neural network, 13,14 bee algorithm (BE), particle swarm optimization, 11,15 grey wolf optimizer, cuckoo search algorithm, 16,17 and evolutionary planning. Although AI methods are fast indeed, they suffer the exaggerated issue of finding the right training method and the need for copious training information.…”

Section: Introductionmentioning

confidence: 99%

A reliable and efficient holomorphic approach to evaluate dynamic available transfer capability

Eidiani

2021

Int Trans Electr Energ Syst

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Summary In the present paper, the static approximate Newton‐Raphson‐Sidel (ANRS) and the developed down‐hill (DDH) algorithm methods were used. To take advantage of both methods, ANRS‐DDH and the revised holomorphic embedding load flow (RHELF) were combined. An approximation of the potential energy boundary surface (APEBS) was also employed in combination with determine transient stability and correct the previous methods. A combination of static method and transient stability led to a combined approach for dynamic available transfer capability (C‐DATC) computation. It is shown that a small correction for these four methods makes the proposed method faster or more accurate. The average root mean square error of the proposed method is half the other methods and the average relative speed of calculations in the proposed methods is 10% higher than the other method. These were confirmed in the networks of Iowa State (145 bus), modified IEEE 118‐bus, and the west of Iran (848 bus) with a large number of wind farms. Finally, the present paper demonstrated that the suggested approach is ideal not only for the operation mode but also for the planning mode and the existence of wind farms.

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Available Transfer Capability Determination for the Electricity Market using Cuckoo Search Algorithm

Cited by 11 publications

References 18 publications

Appraisal of Available Transfer Capability Determination Methods in Competitive Electricity Market

Appraisal of Available Transfer Capability Determination Methods in Competitive Electricity Market

An Improved Equilibrium Optimizer Algorithm for Solving Optimal Power Flow Problem with Penetration of Wind and Solar Energy

A reliable and efficient holomorphic approach to evaluate dynamic available transfer capability

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