Preventive voltage control actions to securely face load evolution in power systems

Marano-Marcolini, Alejandro; Ramos, José Luis Martínez; Ramos, Esther Romero; García, Antonio López

doi:10.1016/j.epsr.2009.10.006

Cited by 3 publications

(3 citation statements)

References 31 publications

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“…Whenever in the base case the voltage stability margin (VSM) between operating point and the stability boundary is too small, the preventive actions are applied to enhance VSM of the base case without considering any specific contingency. Thus, no contingency is considered for the preventive actions in the proposed framework similar to . On the other hand, corrective actions in the proposed two‐stage framework are designed for the post‐contingency state and consider the effect of contingencies.…”

Section: Problem Formulation and Constraintsmentioning

confidence: 99%

“…Essentially, the control actions precluding voltage instability during the operation of power system can be categorized into Preventive actions providing a reliable power supply during the normal operation of power system. Several preventive action approaches have been developed to ensure voltage stability . Corrective actions stabilizing the power system after severe single or multiple contingencies (e.g., failure of over loaded transmission lines or high capacity generating units) in terms of a set of appropriate control strategies . …”

Section: Introductionmentioning

confidence: 99%

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A new two-stage framework for voltage stability enhancement incorporating preventive and corrective control actions

Maram

Amjady

2014

Int. Trans. Electr. Energ. Syst.

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Summary Nowadays voltage stability is an important concern in power system operation due to many blackouts caused by voltage collapse. This paper presents a new two‐stage framework for voltage stability enhancement that in the first stage a preventive control action is applied to increase the voltage stability margin of the system under normal condition. In addition, in the second stage an optimal load shedding scheme as one of the most effective tools to save system stability against severe contingencies is implemented. To do this, a new special protection system design based on definition of a multi‐objective function containing the objectives of voltage stability margin, deviation of voltage limits, branches' overload, and load shed amounts is proposed. A theta gravitational search algorithm is also suggested to solve the multi‐objective non‐linear optimization problem to determine the optimum amounts of load cut as well as the other objective functions. Furthermore, for avoiding either excessive load shedding or voltage collapse, both voltage threshold and critical time of load shedding implementation are determined by dynamic simulations. Azarbayejan area of Iran's power system in 2012 peak load time is applied as a test case of the presented framework. Effectiveness of the proposed approach is illustrated by comparing its simulation results with the results of the current load shedding scheme and two other optimization approaches. Copyright © 2014 John Wiley & Sons, Ltd.

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Section: Problem Formulation and Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A new two-stage framework for voltage stability enhancement incorporating preventive and corrective control actions

Maram

Amjady

2014

Int. Trans. Electr. Energ. Syst.

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“…For reactive power control, Ref. [28] and [29], prepare several preventive control actions considering the secure operation of power systems. In the planning point of view, the power system performance is enhanced via bi-level procedure for allocating the reactive power resources [30].…”

Section: Introductionmentioning

confidence: 99%

Economic and Reliable Preventive Maintenance Scheduling in Power Systems by Using Binary Crow Search Algorithm

El‐Ela¹,

El‐Sehiemy²,

Shaheen³

et al. 2021

JERA

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The generation system is an important part of the power system. The problem of generator maintenance scheduling is provided to construct optimal generators preventive maintenance schedules. It aims to improve economic benefits and achieve reliable operation of the power system while satisfying the system and maintenance constraints. In this paper, the binary crow search algorithm is proposed for solving the scheduling problem. This model would schedule maintenance scheme and commitment status of generating units while the objective functions are achieved. The crow search algorithm is a new meta-heuristic optimizer, which has its implementation very simple and easy compared to other optimization techniques. To verify the robustness and effectiveness of the proposed binary crow search optimizer, three test systems namely 6–unit, 21–unit system, and IEEE reliability test system are considered over the planning horizon of 52 weeks. The proposed optimizer is implemented in the MATLAB programming environment. Techno-economic aspects are considered for the generator's maintenance scheduling problem as reliability enhancement economic cost-minimizing issues. The proposed binary crow search optimizer is developed for single and multi-objective frameworks. The simulation results show the proposed binary crow search technique effectiveness and feasibility compared with previously optimizer in solving the generators maintenance scheduling problem with better convergence rate.

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Methodology for evaluation of grid-tie connection of distributed energy resources - Case study with photovoltaic and energy storage

Toledo

Filho

Diniz

et al. 2013

IEEE Trans. Power Syst.

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Preventive voltage control actions to securely face load evolution in power systems

Cited by 3 publications

References 31 publications

A new two-stage framework for voltage stability enhancement incorporating preventive and corrective control actions

A new two-stage framework for voltage stability enhancement incorporating preventive and corrective control actions

Economic and Reliable Preventive Maintenance Scheduling in Power Systems by Using Binary Crow Search Algorithm

Methodology for evaluation of grid-tie connection of distributed energy resources - Case study with photovoltaic and energy storage

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