A new approach to optimization of dynamic reactive power sources addressing FIDVR issues

Huang, Weihong; Sun, Kai; Qi, Junjian; Xu, Yan

doi:10.1109/pesgm.2014.6939809

Cited by 15 publications

(23 citation statements)

References 8 publications

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“…The optimization problem is solved by interfacing branchand-bound and multi-start scatter algorithms [40] or a Matlabbased toolbox KNITRO [41] with power system time domain simulation. Other approaches include multi-objective evolutionary algorithm MOEA/D [42], heuristic optimization [43], particle swarm optimization [44], heuristic linear programming [45], and Voronoi diagram [46]. In [4], the geometric characteristics of the solution space is investigated and the Voronoi diagram method is integrated with linear programming.…”

Section: B Fault-induced Delayed Voltage Recovery (Fidvr)mentioning

confidence: 99%

Review of Challenges and Research Opportunities for Voltage Control in Smart Grids

Sun

Guo

et al. 2019

IEEE Trans. Power Syst.

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350

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In this paper, we review the emerging challenges and research opportunities for voltage control in smart grids. For transmission grids, the voltage control for accommodating wind and solar power, fault-induced delayed voltage recovery (FIDVR), and measurement-based Thévenin equivalent for voltage stability analysis are reviewed. For distribution grids, the impact of high penetration of distributed energy resources (DER) is analyzed, typical control strategies are reviewed, and the challenges for local inverter Volt-Var control is discussed. In addition, the motivation, state-of-art, and future directions of the coordination of transmission system operators (TSO) and distribution system operators (DSO) are also thoroughly discussed.

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Section: B Fault-induced Delayed Voltage Recovery (Fidvr)mentioning

confidence: 99%

Review of Challenges and Research Opportunities for Voltage Control in Smart Grids

Sun

Guo

et al. 2019

IEEE Trans. Power Syst.

Self Cite

350

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“…A traditional approach for the placement of dynamic var sources is to evaluate, for a small amount of var injection at a candidate bus, how sensitively voltage at one or several target voltage-vulnerable buses will change following the most severe contingency [7], [8].…”

Section: Voltage Sensitivity Index Based Placement Of Dynamic Var mentioning

confidence: 99%

Optimal Placement of Dynamic Var Sources by Using Empirical Controllability Covariance

Huang

Sun

et al. 2017

IEEE Trans. Power Syst.

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In this paper, the empirical controllability covariance (ECC), which is calculated around the considered operating condition of a power system, is applied to quantify the degree of controllability of system voltages under specific dynamic var source locations. An optimal dynamic var source placement method addressing fault-induced delayed voltage recovery (FIDVR) issues is further formulated as an optimization problem that maximizes the determinant of ECC. The optimization problem is effectively solved by the NOMAD solver, which implements the Mesh Adaptive Direct Search algorithm. The proposed method is tested on an NPCC 140-bus system and the results show that the proposed method with fault specified ECC can solve the FIDVR issue caused by the most severe contingency with fewer dynamic var sources than the Voltage Sensitivity Index (VSI) based method. The proposed method with fault unspecified ECC does not depend on the settings of the contingency and can address more FIDVR issues than VSI method when placing the same number of SVCs under different fault durations. It is also shown that the proposed method can help mitigate voltage collapse. ). His research interest includes computational optimal control, nonlinear filtering, cooperative control of autonomous vehicles, industry applications of control theory, nonlinear H∞ control, and bifurcations and normal forms. His early research includes topics on Lie groups, Lie algebras, and differential geometry. Dr. Kang is a fellow of IEEE. He was a plenary speaker in several international conferences of SIAM and IFAC. He served as an associate editor in several journals, including IEEE TAC and Automatica.

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“…Furthermore, several studies were conducted to alleviate the STVS problem using sensitivity analysis. In [16,17], a trajectory sensitivity analysis method is proposed to mitigate voltage instability using dynamic reactive power resources. References [18][19][20][21] used sensitivity as a performance measure for VAR sources to satisfy the requirements of voltage stability margin and transient voltage dip.…”

Section: Introductionmentioning

confidence: 99%

A Reactive Power Compensation Strategy for Voltage Stability Challenges in the Korean Power System with Dynamic Loads

Lee

Song

2019

Sustainability

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This paper describes a methodology and specifics for technical studies on fault-induced delayed voltage recovery (FIDVR) mitigation to ensure power system reliability. Optimal locations of the dynamic volts-ampere-reactive (VAR) sources are determined for addressing the FIDVR issues in the voltage stability analysis and assessment methodology. We propose a voltage stability analysis method for planning dynamic VAR sources for bettering electric power transmission systems under contingency conditions. A time-domain dynamic simulation is performed to assess short-term voltage stability. While conducting dynamic simulations, sensitivity analysis is performed to assess the need for dynamic VAR sources. This study focuses on a reactive power compensation strategy to determine system voltage recovery performance by optimal flexible alternating current transmission system (FACTS) placement in a metropolitan region. The objective of this study is to determine the optimal installation of dynamic VAR sources while satisfying the requirements of voltage stability margin and transient voltage dip under a set of criteria. New insights are presented on the effect of FACTS controls on the reactive power compensation, which supports voltage recovery. The main features of the proposed method are (i) the development based on a load model for FIDVR, (ii) the use of sensitivity analysis of the network to the variations of the IM load, (iii) the establishment of the control function and compensation strategy to maintain the voltage of system within criteria limits, and (iv) the use of the sensitivity analysis based on branch parameterization for unsolvable cases. Case studies on the Korean power system validated the performance of the proposed strategy, showing that it effectively installed FACTS under contingency scenarios.

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A new approach to optimization of dynamic reactive power sources addressing FIDVR issues

Cited by 15 publications

References 8 publications

Review of Challenges and Research Opportunities for Voltage Control in Smart Grids

Review of Challenges and Research Opportunities for Voltage Control in Smart Grids

Optimal Placement of Dynamic Var Sources by Using Empirical Controllability Covariance

A Reactive Power Compensation Strategy for Voltage Stability Challenges in the Korean Power System with Dynamic Loads

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