Assessment of the Economic Value of Voltage Sag Mitigation Devices to Sensitive Industrial Plants

Chan, Jhan Yhee; Milanović, Jovica V.

doi:10.1109/tpwrd.2014.2355877

Cited by 45 publications

(8 citation statements)

References 14 publications

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“…The injection of series voltage or series voltage by extending the existing power electronic interface used for DG operation help reduces the impact of voltage sag [7]. Power electronic-based devices such as FACTs, STATCOM, SVC, DVR, TVR, etc., can also be used to mitigate voltage sag of the overall system as well as individual buses [5,6]. Their effectiveness to mitigate voltage sag depends on rating and location.…”

Section: End-user Reliability Profile With Essmentioning

confidence: 99%

“…Sensitive customer loads can be connected to multiple supply points, such that in case of a disturbance in the primary supply point, the secondary supply will take up the load with fast switching action [4]. Voltage sag mitigation with power electronic-based devices, e.g., dynamic voltage regulator (DVR), dynamic sag corrector (DSC), Thyristor voltage regulator (TVR), flexible ac transmission system (FACTS) devices, etc., are also common in modern distribution system [5,6].…”

Section: Introductionmentioning

confidence: 99%

“…Authors in Reference [7] have discussed the role of DG in the mitigation of reliability events with the microgrid-like operation and an additional current injection method. References [5,6] have presented methodologies to model the contribution of power electronic-based devices to lower the impact of voltage sag on an individual load point and overall network. A Monte Carlo simulation-based approach is developed to quantify the role of ESS in reducing sustained outages experienced by customers in Reference [11].…”

mentioning

confidence: 99%

“…Authors in Reference [13] have analyzed the reliability and economic aspect of the microgrid with renewable energy resources and storage from the system planning perspective.Works in References [3,8,9,11,13] either only considers supply interruptions or the methods proposed are not readily applicable in the context of utility-scale distribution network. References [5][6][7]12] have taken into account the voltage sag/swell, however, generalized methods are lacking to incorporate the intermittency of renewable DGs and energy limitation of storages. Thus, the above-reported literature lacks the systematic approach to assess the role of ESS to mitigate short-and long-duration reliability events at a different level of a distribution system.…”

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confidence: 99%

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Utilizing Energy Storage for Reliability Solutions in Active Distribution Systems

2019

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Stochastic failures in a distribution network result in different reliability events, such as voltage sags and momentary and sustained interruptions, causing significant financial losses for many customers. Strategic utilization of energy storage system (ESS) can help mitigate these reliability events. This paper investigates the role of ESS toward providing reliability solutions in the context of an active distribution system. In this regard, scenario-based probabilistic modeling of reliability event mitigation with the ESS is presented, which is integrated into the reliability evaluation framework. The proposed approach is efficient in assessing reliability solutions with ESS considering storage technology type, power/energy rating, hardware availability, presence of other distributed energy resources, etc. A range of case studies is conducted to evaluate mitigation of reliability events at a different level of the distribution system. Valuable insights into the efficient utilization of ESS are provided based on findings. also being utilized to mitigate different reliability events. DERs can help reduce the impact of sag event by injecting an additional reactive power in case of voltage dips during system contingencies [7]. The energy storage installed at customer premises can override short-and long-duration reliability events [8,9]. Microgrid, which consists of controllable loads and DERs integrated at the point of common coupling (PCC) of distribution network, operates in isolated mode during utility supply disturbances (sags and interruptions), thereby protecting critical load against reliability events [7,10]. DERs that are not part of such microgrids and integrated along a distribution feeder can also operate in an islanded mode to reduce long-duration outages [11].Various aspects of utilization of ESS and other distributed energy resources to mitigate different reliability events have been explored in the existing literature. Reference [3] provides an analytic method to assess the contribution of energy storage and a backup generator to reduce the impact of sustained outages. A new method of protecting sensitive load against momentary interruptions using inverter-coupled ESS is developed in Reference [9]. The potential of sodium-sulfur batteries to protect customer devices/processes are investigated in Reference [8]. Authors in Reference [7] have discussed the role of DG in the mitigation of reliability events with the microgrid-like operation and an additional current injection method. References [5,6] have presented methodologies to model the contribution of power electronic-based devices to lower the impact of voltage sag on an individual load point and overall network. A Monte Carlo simulation-based approach is developed to quantify the role of ESS in reducing sustained outages experienced by customers in Reference [11]. The impact of intermittent renewable energy resources on the distribution network and the use of energy storage to mitigate this issue have been explored in Reference [12]. Authors i...

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Section: End-user Reliability Profile With Essmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Utilizing Energy Storage for Reliability Solutions in Active Distribution Systems

2019

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“…Current studies about premium power mainly focus on custom power [13][14][15], voltage sag mitigation and its optimization [16][17][18], techno-economic characteristics [19][20][21], project demonstrations [5,22], load management in smart grid [23][24][25], customer demand response [26,27], etc. The research on custom power, voltage sag mitigation and its optimization are mainly focused on the topology structures of customer power devices, and the voltage sag mitigation technology.…”

Section: Introductionmentioning

confidence: 99%

Investment Strategy and Multi–Objective Optimization Scheme for Premium Power under the Background of the Opening of Electric Retail Side

Xiao

Wang

2018

Energies

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With the opening of electric retail side, premium power value-added service has become a main concern for both sensitive customers (SCs) and new electric retail companies (NERCs). However, due to the lack of appropriate investment strategy and optimal premium power investment scheme (PPIS) determination method, the premium power market is difficult to form, thus SCs’ demand for premium power is difficult to meet. Under such condition, how to determine the investment strategy and choose the optimal PPIS are problems that need to be solved. Motivated by this, this paper proposes a multi–participant premium power investment strategy and an optimal PPIS determination method. Suppose that the NERC and the corresponding SCs have already been determined, according to two–sided matching theory, taking SCs’ and NERC’s disappointment–rejoicing psychological perceptions into consideration, premium power perceived utility (PU) (i.e., the perceived effectiveness or satisfaction degree) can be obtained, and a multi-objective optimization model of investment scheme is established. Finally, a field survey has been conducted by the authors on typical high-tech manufacturers (HTMs) located in a High-Tech Park in Sichuan, China. The matching results have been verified by the actual survey. The proposed method is a good way to manage the premium power market.

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A single index for voltage quality ranking in the distribution power networks using multiple criteria decision‐making

Bajaj

Singh

2021

Int Trans Electr Energ Syst

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Summary The quality of voltage is a fundamental characteristic that forms a crucial part of reliability in smart distribution power grids and subsequently being cautious to that is obligatory. Voltage quality (VQ) issues can be categorized into manifold categories such as voltage fluctuation, voltage harmonic distortion, voltage unbalance etc, depending upon the type of deviation from the standard sinusoidal one in terms of magnitude and frequency. For evaluating the VQ at a distribution system's bus, classically all the crucial phenomena associated indices are obligatory to be discretely measured and benchmarked for guaranteeing the global healthy VQ performance, which makes the assessment of the same a quite cumbersome. This paper attempts to streamline the overall VQ evaluation process by the application of multiple criteria decision‐making. The scores of all VQ phenomena are computed by applying the analytic hierarchy process considering the multiple criteria of impacts on the consumer. The steps of the proposed methodology result in the formulation of an overall VQ index, which is alone adequate for raking the VQ performance of all the buses in a distribution power network. The proposed approach's application importance is checked and validated using data collected from a modified IEEE 13‐bus test distribution system with and without the inclusion of distributed generation systems using MATLAB programming.

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Assessment of the Economic Value of Voltage Sag Mitigation Devices to Sensitive Industrial Plants

Cited by 45 publications

References 14 publications

Utilizing Energy Storage for Reliability Solutions in Active Distribution Systems

Utilizing Energy Storage for Reliability Solutions in Active Distribution Systems

Investment Strategy and Multi–Objective Optimization Scheme for Premium Power under the Background of the Opening of Electric Retail Side

A single index for voltage quality ranking in the distribution power networks using multiple criteria decision‐making

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