Coordinated Optimal Volt/Var Control for Distribution Networks via D-PMUs and EV Chargers by Exploiting the Eigensystem Realization

Mejía-Ruiz, Gabriel E.; Cárdenas-Javier, Romel; Paternina, Mario R. Arrieta; Rodriguez-Rodrıguez, Juan Ramón; Ramirez, Juan M.; Zamora-Méndez, Alejandro

doi:10.1109/tsg.2021.3050443

Cited by 28 publications

(9 citation statements)

References 36 publications

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“…This methodology is intended to develop a control strategy that minimises lim 𝜏→+∞ 𝐽 𝑐 . The cost function in (18) and the constraints in the power system model in 16 are considered to solve the optimisation problem through the scalar Hamiltonian function (H) [3,34,35].…”

Section: Linear Quadratic Regulatormentioning

confidence: 99%

“…Dynamics in traditional power systems are primarily dominated by the actions of synchronous generators (SGs) [1,2]. However, the increasing spread of distributed energy resources (DERs), renewable energy systems and the connection of nonlinear loads with fast timeconstants triggers undesired dynamics that droop control and automatic generation control (AGC) systems are unable to handle, impacting the stability and reliability of modern power grids [3][4][5][6]. Thus, this fact motivates the suitable combination of both SGs and battery energy storage systems (BESSs) acting synergistically through novel control schemes that prioritise, in an accurate and a fast way, the power dispatch.…”

Section: Introductionmentioning

confidence: 99%

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Fast hierarchical coordinated controller for distributed battery energy storage systems to mitigate voltage and frequency deviations

et al. 2022

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Section: Linear Quadratic Regulatormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fast hierarchical coordinated controller for distributed battery energy storage systems to mitigate voltage and frequency deviations

et al. 2022

Self Cite

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“…However, the feasibility of this high-investment solution is limited as the unbalance caused by AC charging piles can still exist. Some reactive power controllable devices, such as static var generator and shunt capacitors, can flexibly manage reactive power and thereby control the voltage in LVDNs [10], [11]. However, the regulation of reactive power can only improve the voltage quality without providing active power support for EV charging.…”

Section: Introductionmentioning

confidence: 99%

EV Integration-Oriented DC Conversion of AC Low-Voltage Distribution Networks and the Associated Adaptive Control Strategy

Zhang

Tang

Liang

et al. 2024

IEEE Trans. Transp. Electrific.

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Driven by carbon-neutral targets and transportation electrification, the widespread use of electric vehicles (EVs) has become an irreversible trend. However, low-voltage distribution networks (LVDNs) can face several challenges under the high-penetration EV integration, including overloads, voltage violations and unbalance issues. In this paper, an EV integration-oriented DC conversion scheme and the associated adaptive control method for LVDNs is proposed, aiming at releasing more capacity for EVs and collaborative improvement of the above issues caused by EV charging. Based on analyzing the influence of different charging piles connected to the AC and DC LVDNs, a DC conversion scheme for threephase four-wire LVDNs under high-penetration EVs is proposed. The voltage source converter (VSC) control strategies aimed at alleviating the overload of the DTs, voltage violations, and three-phase unbalance are designed separately based on the modified three-phase four-wire voltage sensitivity. Then, a coordinated adaptive control strategy of on-load tap changer and VSCs is proposed considering the simultaneous occurrence of multiple power quality issues in hybrid AC/DC LVDNs. Case study verifies the effectiveness of the proposed DC conversion and adaptive control methods, by which the maximum EV penetration of the hybrid AC/DC LVDN is increased from 85% to 215% compared with the AC LVDN.

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“…In the same year, China's EV sales exceeded 3.3 million units, Europe exceeded 2.3 million units, and the United States reached 530,000 units. As China is the world's largest market for EVs, the rational and orderly usage of the huge demandside resources can solve several critical problems including the high cost of power system equipment upgrading, stability, and reliability of the power system [4]. Since the energy-using behavior of demand-side users is infuenced by personal preferences and social factors, these factors infuence the operation, scheduling, and planning of the power system [5].…”

Section: Introductionmentioning

confidence: 99%

Priority Analysis of Influence Factors for Electric Vehicle Demand Response Strategies

Yao

Zhu

et al. 2023

International Transactions on Electrical Energy Systems

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As the penetration of renewable energy continues to increase, the demand-side resources in the grid will become more and more important. Electric vehicles (EVs) account for a relatively large proportion of demand-side resources, but individual and social factors have been less considered in multifactorial studies affecting EV participation in demand response (DR), and the multiscenario DR process has not been adequately studied. Therefore, an EV demand response strategy considering the influence of multiple factors is proposed in this paper. Firstly, a multisource charging load characteristic model is constructed by analyzing the characteristics of EV charging behavior under multiple scenarios. Secondly, the DEMATEL-AISM method is used to analyze the degree of influence of personal and social factors on users’ charging behavior under complex social environments, and the dominant factors in each scenario are identified. Finally, based on the analysis of the dominant factors in multiple scenarios, an EV regulation strategy under the influence of multiple factors is developed to achieve peak shaving. The feasibility of the proposed method is verified through simulation cases. The simulation results reveal that the revenues of aggregators and users are improved, and the stability of the power system is enhanced.

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Coordinated Optimal Volt/Var Control for Distribution Networks via D-PMUs and EV Chargers by Exploiting the Eigensystem Realization

Cited by 28 publications

References 36 publications

Fast hierarchical coordinated controller for distributed battery energy storage systems to mitigate voltage and frequency deviations

Fast hierarchical coordinated controller for distributed battery energy storage systems to mitigate voltage and frequency deviations

EV Integration-Oriented DC Conversion of AC Low-Voltage Distribution Networks and the Associated Adaptive Control Strategy

Priority Analysis of Influence Factors for Electric Vehicle Demand Response Strategies

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