Exact and efficient approach in static assessment of Available Transfer Capability (ATC)

Mustafa

Int Trans Electr Energ Syst

et al. 2019

Summary The ceaseless efforts by power system industries to promote sustainable and competitive electric power market structure in the deregulated environment have given rise to enormous research in the area of transfer capability of transmission networks. Due to high demand for electricity, transmission components are stressed to operate close to their operating limits, and this leads to a decrease in transmission efficiency. To address this issue, efficient evaluation of available transfer capability (ATC) is crucial for system planning, operation, and control. Several approaches have been proposed for ATC computation. Surprisingly, a comprehensive literature review on ATC computation is yet to be efficiently presented. Researchers have been able to come up with fast algorithms, but most of these algorithms are not accurate, and the presented accurate techniques are not fast enough for online applications. This paper presents a comprehensive review of the different approaches for ATC determination. It provides the concepts, methods, and the features of the ATC. For each technique, the state of the art of the several contributions made by researchers has been highlighted. This review reveals that there are issues regarding ATC calculation methods that need attention: the development of fast and accurate algorithm incorporating system dynamics and system uncertainties in ATC determination. Additionally, efforts on the incorporation of renewable energy generation in the ATC evaluation need to be intensified. This review will serve as one in all for researchers as well as a guide for the entrants in this field.

Section: Available Transfer Capability Determination Methodsmentioning

confidence: 99%

Section: Available Transfer Capability Determination Methodsmentioning

confidence: 99%

Available transfer capability calculation methods: A comprehensive review

Mustafa

Int Trans Electr Energ Syst

et al. 2019

IET Generation Trans & Dist

“…Algorithms based on the latter begin with static methods as their upper limits. The former includes continuation power flow (CPF) [26], Newton‐Raphson‐Seydel (NRS) method [27] and minimum distance (MD) methods [28]. DELF (differential equation load flow) is one of the new static methods [29].…”

Section: Introductionmentioning

confidence: 99%

A rapid state estimation method for calculating transmission capacity despite cyber security concerns

Eidiani

2023

Self Cite

The present paper simulates cyberattacks in DIgSILENT for energy management and state estimation. Assuming hackers have adequate information to alter input data, they can alter the power market and the available transmission capability (ATC). Detection programs may fail if false information is coordinated in the presence of error information. The minimum number of network measurements before the state estimation program converges is 54% of the total measurements. In the new method, weighted least squares improve the state estimation speed. The new method can also improve the speed of ATC. In addition to identifying the cyberattack, the algorithm in the present paper can be used to identify the target of the attack. It also uses complete and correct information and even incorrect measurements to report state estimator errors. The present paper shows that ATC values follow the inverse pattern of load and loss. A real sample network is presented at the end of the paper to test the suggested method.

Int Trans Electr Energ Syst

“…It can be still improved using the general minimum residual method (GMRES) to speed up voltage stability computation 2,3 . Moreover, Newton‐Raphson‐Sidel (NRS) can substitute the usual Newton‐Raphson (NR) method for a more precise and rapid calculation of voltage stability and SATC 4‐6 …”

Section: Introductionmentioning

confidence: 99%

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

Eidiani

2021

Self Cite

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.