Robust and optimal adjustment of Power System Stabilizers through Linear Matrix Inequalities

Campos, Victor Augusto Fernandes de; Cruz, José Jaime da; Zanetta, L.C.

doi:10.1016/j.ijepes.2012.04.025

Cited by 21 publications

(7 citation statements)

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“…It's a new approach to optimization problems affected by uncertainty specially in case of lack of full information on the nature of uncertainty [29]. The successful application of this method in power systems have been reported in recently published papers like: energy hub management [30], unit Commitment With Wind Power and Pumped Storage hydro [31], optimal adjustment of power system stabilizers [32], integration of plug-in hybrid electric vehicles (PHEVs) into the electric grid [33] and planning regional-scale electric power systems and managing carbon dioxide [34]. The concept of robust optimization is described as follows: consider a function like z = f (x, y)…”

Section: Proposed Robust Optimization Approachmentioning

confidence: 99%

Robust optimization based self scheduling of hydro-thermal Genco in smart grids

Soroudi

2013

Energy

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Publication informationEnergy, 61 (2013): 262-271 Publisher ElsevierItem record/more information http://hdl.handle.net/10197/6154 Publisher's statement þÿ T h i s i s t h e a u t h o r s v e r s i o n o f a w o r k t h a t w a s a c c e p t e d f o r p u b l i c a t i o ni n E n e r g y . C h a n g e s resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document.Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Energy (VOL 61, ISSUE 2013, (2013 AbstractThis paper proposes a robust optimization model for optimal self scheduling of a hydro-thermal generating company. The proposed model is suitable for price taker Gencos which seeks the optimal schedule of its thermal and hydro generating units for a given operating horizon. The uncertainties of electricity prices are modeled using robust optimization approach to make it more practical. It considers various technical constraints like water balance and water traveling time between cascaded power stations and emission allowance. Finally, different case studies are analyzed to demonstrate the strength of the proposed methodology.Key words: Robust optimization, hydro-thermal scheduling, uncertainty modeling, smart grids. T E Total emission

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Section: Proposed Robust Optimization Approachmentioning

confidence: 99%

Robust optimization based self scheduling of hydro-thermal Genco in smart grids

Soroudi

2013

Energy

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“…Therefore, the robustness of the PSS is a major issue [6], and synthesis of robust PSSs has been one of the most notable research topics in power and control engineering. In many research studies, such as literature reports [7], [8], [9], [10], robust performance of a controller in various operating points has been studied and investigated. Over the past years, several methods and approaches have been presented regarding robust control in power systems, especially for oscillation damping [11], [12], [13].…”

Section: Introductionmentioning

confidence: 99%

A new LPV modeling approach using PCA-based parameter set mapping to design a PSS

Jabali

Kazemi

2017

Journal of Advanced Research

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“…For example, in [11], five different hybrid control techniques have been derived, for buck and boost converters, considering disturbance rejection capabilities. An application of Linear Matrix Inequalities (LMIs) to the robust and optimal adjustment of power system stabilizers with pre-defined structure has been proposed in [12]. Other control methodologies based on fuzzy theory [13] have been successfully applied to control power systems [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%