Probabilistic available transfer capability assessment in power systems with wind power integration

Sun, Xin; Tian, Zhongbei; Rao, Yao; Li, Zhaohui; Tricoli, Pietro

doi:10.1049/iet-rpg.2019.1383

Cited by 11 publications

(5 citation statements)

References 46 publications

(62 reference statements)

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“…The ideas are implemented in Iowa State networks 21 (145 bus), modified IEEE 118‐bus, 25 and the west of Iran (848 bus). The actual network (848 bus) being used is a compact network from the west of Iran (detailed in Table 1).…”

Section: Example Networkmentioning

confidence: 99%

“…The methods that seek the CUEP 18,23 take a long time to determine these points. Thus, the accuracy of the suggested method is contrasted with the simulation method and its speed is compared with that of fast and accurate available transfer capability (FADATC), 21 SVR, 22 CUEP, 23 and PATC 25 …”

Section: Simulation and Comparisonmentioning

confidence: 99%

“…Reference 25 proposed a new probabilistic method to evaluate ATC (probabilistic ATC, PATC), which incorporates the uncertainties of the load, transmission line outages, and wind power. A quantitative body of research indicates that the suggested method can be effective and accurate in evaluating the statistical probability of ATC distributions.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Example Networkmentioning

confidence: 99%

Section: Simulation and Comparisonmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Eidiani

2021

Int Trans Electr Energ Syst

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“…A joint optimization approach for transmission expansion with wind power to enhance ATC is discussed in [15]. A probabilistic approach based on canonical low-rank approximation is proposed in [16] to evaluate ATC considering the uncertainties of wind power, load, and outage of transmission lines. In [17], the authors used the AC power distribution factor method to evaluate ATC, considering the reactive capability curve of the wind turbine.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Assessment of Available Transfer Capability Incorporating Load and Wind Power Uncertainties

2023

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This study proposes an available transfer capability (ATC) assessment approach in an intraday market that would enable wind energy participants to raise their level of integration without exposing them to high risk. The presented methodology allows the transmission system operator (TSO) to assess ATC near to the real state while considering voltage stability concerns as well as the uncertainties of the forecasted load and wind power. The proposed formulation is designed so that the existing VAR sources are appropriately exploited during the ATC assessment to maximize its anticipated value and boost the transaction between various zones. To alleviate the complexity of analyzing N-1 contingencies in the ATC estimation, a linear sensitivity technique is applied for ranking the most severe contingencies to be examined carefully. A two-level hybrid algorithm using the primal-dual interior point method (PDIPM) and an improved grey wolf optimizer (IGWO) is suggested for solving the problem. The performance of the proposed approach has been evaluated by its application on IEEE 30reliability test system (RTS). The outcomes confirm the viability of the proposed approach for optimizing ATC value for various transactions through the best use of installed VAR devices, considering different locations of wind farms. The obtained findings also demonstrate the effectiveness of the suggested method for determining the most severe contingency associated with each scenario under consideration.INDEX TERMS Available transfer capability (ATC), improved grey wolf optimizer (IGWO), intraday market, reactive power dispatch, wind power generation.

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“…ATC is additionally useful data for the operator to see how far the limits are from the point of work and can also show an exchange limit that can be extended without compromising framework security and stability. A novel way of the probabilistic approach using canonical low-rank approximation (LRA) for ATC calculation is discussed [4]. ATC is the remaining transfer capability for further commercial activities in a physical transmission network well beyond the already committed usages.…”

Section: Introductionmentioning

confidence: 99%

A novel sensitive based approach to ATC enhancement in wind power integrated transmission system

2021

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Available transfer capability (ATC) plays an important role for both buyers and suppliers in the deregulated power system. As the integration of renewable energy sources is taking place very quickly in the system. It is not suggested to place wind generation (WG) at any point of the system. In this paper, the optimal location of buses for WG using a novel sensitive based formula is proposed. The zones are formed using the transmission congestion distribution factor (TCDF) values. The average transmission congestion distribution factor (ATCDF) is used to locate the optimal point of the system. When the WG is integrated into the system its obvious ATC increases but at which point the ATC values will be more is considered as the main objective. The WG is placed at every bus in the zone created by the TCDF value and the ATC value is calculated. The test is performed on the IEEE-30 bus system in MATLAB coding environment. The comparison result shows the ATC value enhances more when the WG is placed according to the proposed method. The proposed method also helps to find multiple locations for WG installation according to ATCDF value. Highlights Average TCDF value is proposed to find the optimal bus location for getting more ATC value. Integration of WG according to highest ATCDF value in the system. Comparison of ATC obtain from the integration of WG at different buses in sensitive zones. Validation of a proposed method by comparing the ATC value obtain from integrating WG at different buses. The optimal bus location based on the ATCDF value gave enhance ATC value compare to the other bus location. ATCDF value helps in finding the multiple locations for integration of WG in the system.

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Probabilistic available transfer capability assessment in power systems with wind power integration

Cited by 11 publications

References 46 publications

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

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

Probabilistic Assessment of Available Transfer Capability Incorporating Load and Wind Power Uncertainties

A novel sensitive based approach to ATC enhancement in wind power integrated transmission system

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