Evolutionary Algorithm for Calculating Available Transfer Capability

Šošić, Darko; Skokljev, Ivan

doi:10.2478/jee-2013-0042

Cited by 8 publications

(4 citation statements)

References 18 publications

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“…In this paper we presented an example using the simplest topology, which is able to demonstrate the phenomena of suboptimality. If the number of zones and lines is higher, thus the topology is more complex, the network loads implied by the individual transfers of the iteration process may be calculated using the power transfer distribution factors (PTDF) [7], and the reference network load is updated accordingly, resulting in an iterative allocation of available transmission capacity.…”

Section: B Application In the Case Of More Complex Network Topologymentioning

confidence: 99%

A Greedy Approach and its Limitations for Day-ahead Co-allocation of Energy and Reserves

Csercsik

Divenyi

Sleisz

et al. 2023

2023 19th International Conference on the European Energy Market (EEM)

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In this paper we consider a multi-zonal day-ahead market clearing setting, in which energy and reserves are simultaneously allocated. We present an iterative heuristic approach for the joint procurement process, which is based on the greedy algorithm. We demonstrate via an example that this simple approach cannot be expected to reach global optimum in general and discuss its further improvement possibilities.Index Terms--Day-ahead electricity markets, Joint energyreserve markets, Cross-border reserve trading I.

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Section: B Application In the Case Of More Complex Network Topologymentioning

confidence: 99%

A Greedy Approach and its Limitations for Day-ahead Co-allocation of Energy and Reserves

Csercsik

Divenyi

Sleisz

et al. 2023

2023 19th International Conference on the European Energy Market (EEM)

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“…In research [19], the authors presented the evolutionary algorithm to determine ATC and simulated in MATLAB to determine ATC in deregulated power systems following the constraints like stability, thermal, and voltage constraints for IEEE 5 and IEEE 30 bus system. In paper [20], researchers computed ATC using the PTDFs method to appraise ATC in the domain of Combined Economic Emission Dispatch (CEED).…”

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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“…The implication of considering ATC in TRM determination to ensure continuous power transfer during any kind of disruptions. Moreover, various techniques have been proposed for computation TRM and ATC [3][4][5][6][7][8][9][10][11][12][13][14][15]. DC power flow method considered for active power flow rather than reactive power but in a transmission network voltage level needs to keep stable otherwise over-voltage or voltage collapse will happen easily; for this reason, VAR is essential to control the system in a tolerable margin of security and authenticity.…”

Section: Introductionmentioning

confidence: 99%

Quantifying TRM by Modified DCQ Load Flow Method

Nadia¹,

Hossain²,

Hasan³

et al. 2021

EJEE

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In the integrated power system network uncertainty can occur at any time. The transmission reliability (TRM) margin is the amount of transmission capacity that guarantees that the transmission network is protected from instability in the operating state of the system. The calculation of the available transfer capacity (ATC) of the transmission reliability margin should be included in a deregulated power system to ensure that the transmission network is safe within a fair range of uncertainties that arise during the power transfer. However, the TRM is conserved as a reliability margin to reflect the unpredictability of the operation of the electric system. Besides, the system operator (SO) utilizes the TRM value during unreliability by adjusting the ATC value some amount up or down to account for errors in data and uncertainty in the model. This paper describes a technique for TRM estimation by modified DCQ load flow method considering VAR transfer distribution factor. The main focus of this study is to get a new approach to determine TRM by incorporating with ATCQ considered reactive power and sensitivity w.r.t ATC considered voltage magnitude. This technique is applied to the IEEE 6 bus system, and results are compared with previous results for validation. The technique leads to more exact and secure estimates of transmission reliability margin.

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Evolutionary Algorithm for Calculating Available Transfer Capability

Cited by 8 publications

References 18 publications

A Greedy Approach and its Limitations for Day-ahead Co-allocation of Energy and Reserves

A Greedy Approach and its Limitations for Day-ahead Co-allocation of Energy and Reserves

Appraisal of Available Transfer Capability Determination Methods in Competitive Electricity Market

Quantifying TRM by Modified DCQ Load Flow Method

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