Optimal Allocation of Dynamic Var Sources Using the Voronoi Diagram Method Integrating Linear Programing

Huang, Weihong; Sun, Kai; Qi, Junjian; Ning, Jiaxin

doi:10.1109/tpwrs.2017.2681459

Cited by 36 publications

(35 citation statements)

References 15 publications

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“…The optimal sizing problem is very challenging because 1) it is a non-linear, non-convex optimization problem due to the geometric characteristics of its solution space [4], 2) checking the constraints requires the post-fault voltage trajectories that can only be obtained by solving a power system differentialalgebraic equation model [39]. It is usually formulated as a mixed integer programming problem and addressed by interfacing a heuristic optimization algorithm with power system simulation.…”

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

confidence: 99%

“…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. Ad-dressing the high computational complexity and solving the optimization problem by exploring the unique features of the problem are still an important research direction.…”

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

confidence: 99%

“…In transmission network (TN), there are many emerging challenges, including but not limited to voltage fluctuation, cascading tripping faults [1], and voltage stability issues such as fault-induced delayed voltage recovery (FIDVR). It will require a better understanding of the interaction between the existing TN and the renewable generation [2], advanced control methods that enable fast participation of renewable generation [3], computationally tractable approaches to help mitigate FIDVR [4], and also improved situational awareness about voltage instability through measurement-based approaches using phasor measurement unit (PMU) data [5].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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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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%

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

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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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“…Many OSs use shunt capacitor switching to modify PS's reactive power flows and so the OSs optimize the PS. Such OSs are presented in [77][78][79][80][81][82]. OS in [83,84] optimize reactive power flows in a PS by changing the taps of on-load tap changers in transformers.…”

Section: Ps Oss Controlling a Special Ps Action Hardwarementioning

confidence: 99%

Review of Trends and Targets of Complex Systems for Power System Optimization

Vysocky

Mišák

2020

Energies

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Optimization systems (OSs) allow operators of electrical power systems (PS) to optimally operate PSs and to also create optimal PS development plans. The inclusion of OSs in the PS is a big trend nowadays, and the demand for PS optimization tools and PS-OSs experts is growing. The aim of this review is to define the current dynamics and trends in PS optimization research and to present several papers that clearly and comprehensively describe PS OSs with characteristics corresponding to the identified current main trends in this research area. The current dynamics and trends of the research area were defined on the basis of the results of an analysis of the database of 255 PS-OS-presenting papers published from December 2015 to July 2019. Eleven main characteristics of the current PS OSs were identified. The results of the statistical analyses give four characteristics of PS OSs which are currently the most frequently presented in research papers: OSs for minimizing the price of electricity/OSs reducing PS operation costs, OSs for optimizing the operation of renewable energy sources, OSs for regulating the power consumption during the optimization process, and OSs for regulating the energy storage systems operation during the optimization process. Finally, individual identified characteristics of the current PS OSs are briefly described. In the analysis, all PS OSs presented in the observed time period were analyzed regardless of the part of the PS for which the operation was optimized by the PS OS, the voltage level of the optimized PS part, or the optimization goal of the PS OS.

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“…First, the siting problem can be solved by calculating and comparing voltage sensitivity indices [7] or empirical controllability covariance [6] at candidate locations. Then, the sizes of SVCs can be optimized by heuristic searching algorithms interfacing with a power system simulator, such as Voronoi diagram method integrating linear programming in [29]. The factors considered in the siting and sizing optimization of SVCs can be land prices, installation fees, maintenance costs, and penalties of violation of voltage recovery criteria.…”

Section: Proposed Mads-based Approachmentioning

confidence: 99%

Optimization of SVC settings to improve post-fault voltage recovery and angular stability

Huang

Sun

2018

J. Mod. Power Syst. Clean Energy

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In this study, controller parameters of static var compensators (SVCs) at planned locations are optimized to mitigate fault-induced delayed voltage recovery issues and improve angular stability of a multi-machine power system. The problem is formulated as a nonlinear optimization problem involving constraints on post-fault trajectories of voltages and frequencies. This paper proposes a mesh adaptive direct search based algorithm interfaced with a power system simulator for optimization of SVC controller parameters. The proposed method is tested on the NPCC 140-bus system to optimize controller parameters for three SVCs. Simulations on critical contingencies verify that post-fault transient voltages and generator speeds can both quickly recover and transient stability of the system is improved.

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Optimal Allocation of Dynamic Var Sources Using the Voronoi Diagram Method Integrating Linear Programing

Cited by 36 publications

References 15 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

Review of Trends and Targets of Complex Systems for Power System Optimization

Optimization of SVC settings to improve post-fault voltage recovery and angular stability

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