Fast Method to Alleviate Line Overloads by Corrective Generation Rescheduling and Load Shedding

Arini, M. El

doi:10.1080/07313569708955745

Cited by 6 publications

(6 citation statements)

References 8 publications

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“…Bijwe et al [14] consider both line overloads and voltage violations and use the natural decoupling between active and reactive power to develop two separate models for alleviating line overloads and voltage violations. Similarly, Arini [15] proposes an iterative decoupled algorithm for congestion management using linear generation shift distribution factors. Other authors, e.g., [16], [17] and [18], develop similar iterative algorithms for congestion management through load shedding and/or generation rescheduling.…”

Section: Literature Review and Proposed Methodsmentioning

confidence: 99%

An Online Optimization Algorithm for Alleviating Contingencies in Transmission Networks

Mazzi

Zhang

Kirschen

2018

IEEE Trans. Power Syst.

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Power systems are increasingly operated in corrective rather than preventive security mode, which means that appropriate control actions must be taken immediately after a contingency has occurred. This paper proposes an online algorithm for automatically alleviating contingencies such as voltage limit violations and line overloads. Unlike previously proposed approaches, the network itself serves as a natural solver of the power flow equations. This makes it possible to start the implementation immediately and avoids problems caused by modeling errors. Every time the controller receives measurements from the grid, it evaluates the presence of contingencies and computes the optimal corrective actions that can be implemented before the next sampling period, subject to ramping constraints of the generators. These corrective actions are implemented through the standard Automatic Generation Control. Finding the optimal incremental corrective actions is fast because this problem is linearized. The effectiveness of this algorithm at correcting both line overloads and voltage violations is demonstrated using the IEEE-118 Bus test system.

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Section: Literature Review and Proposed Methodsmentioning

confidence: 99%

An Online Optimization Algorithm for Alleviating Contingencies in Transmission Networks

Mazzi

Zhang

Kirschen

2018

IEEE Trans. Power Syst.

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“…The method developed by Elarini (1997) is superior to other existing methods. The Jacobian matrix, sensitivity matrix, and the Lagrangian function are needed in almost all of the existing methods, but not in the proposed method.…”

Section: Introductionmentioning

confidence: 93%

“…The line overload alleviation problem can be formulated as an optimization problem. The objective is to seek the generation correction schedule and the load shedding that minimize the following objective scalar function for each overloaded line; this function is named the cost function as presented by Elarini (1997) Cðx; uÞ ¼ X ðP ij max − P ij Þ 2 ð1Þ…”

Section: Mathematical Formulationmentioning

confidence: 99%

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Transmission Lines Overload Alleviation by Generation Rescheduling and Load Shedding

Abbas

Mohamed

Abdelrahim

2016

J. Infrastruct. Syst.

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In this paper, transmission lines overload alleviation for the Sudan National Grid has been performed. Resizing the transmission system components is not suitable during the operation. On the contrary, in that case, alleviation of the overloads by generation rescheduling is suitable and effective. Decreasing the generation station output relieves transmission line overload, but to maintain the power equilibrium, the output of other generation stations must be increased, making sure no additional transmission lines are being overloaded. A simple, efficient, fast, and accurate technique for the alleviation of line overloads by corrective generation rescheduling and load shedding is applied to alleviate the overloads. The method ensures that alleviation of the existing violations does not create any new violations. The load shedding is used as a last choice in cases when generation rescheduling has not completely alleviated the overloads. An overload that cannot be relieved by only rescheduling the generation is always due to weaknesses in the system design. The method gives good results for alleviating line overloads in cases of the most severe contingencies.

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“…Different types of methods are proposed for the analysis of the problem in question. Among others, nonlinear classical and metaheuristic optimisation with constraints [6][7][8][9], power flow tracking [10,11], selected machine learning methods [12], and optimisation supported by machine learning [13,14] are used. The DC method is also used in combination with linear programming [15,16], as well as fuzzy logic, fuzzy reasoning, and expert systems [17][18][19].…”

Section: Literature Reviewmentioning

confidence: 99%

Elimination of Line Overloads in a Power System Saturated with Renewable Energy Sources

Pijarski

Kacejko

2023

Energies

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The increasing number of renewable energy sources (RESs) connected to power grids contributes to the emergence of not only balancing problems but also technical ones, such as the overloading of power lines. If renewable sources with a high generation level are planned to be connected in the area under consideration, then a large number of significant overloads should be expected, especially during contingency analysis. As a rule, high-voltage networks have a mesh topology, which is why the concept of using advanced mathematical algorithms was developed, with the help of which the resulting threats can be eliminated. This article presents a proposal for a new method of eliminating line overloads and determining the currently available nodal generation levels. Its innovation is a new method of eliminating problems related to the capacity of power grids. The high efficiency of the method results from the appropriately defined response of properly selected RES sources to the state of network congestion. The problem under consideration is illustrated with the example of a modified IEEE 118-bus test network. In order to eliminate line overloads, the article proposes a two-stage approach. In the first step, the sources that are most responsible for the occurring overloads are determined. In the second step, a metaheuristic algorithm is used to solve a nonlinear optimisation problem with constraints. This task involves reducing the power generated in the sources selected in the previous step in such a way that the resulting line overloads are eliminated, and, at the same time, the total value of the curtailed generation is minimal.

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Fast Method to Alleviate Line Overloads by Corrective Generation Rescheduling and Load Shedding

Cited by 6 publications

References 8 publications

An Online Optimization Algorithm for Alleviating Contingencies in Transmission Networks

An Online Optimization Algorithm for Alleviating Contingencies in Transmission Networks

Transmission Lines Overload Alleviation by Generation Rescheduling and Load Shedding

Elimination of Line Overloads in a Power System Saturated with Renewable Energy Sources

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