Abstract:Abstract--This paper presents a new stochastic approach to comprehensive assessment of the impact of voltage sags in large scale power networks. The approach takes into account the stochastic nature of power system operation including load variation, uncertainty of fault clearing time by protection relays, fault rates of network components and the variation/uncertainty in equipment sensitivity to voltage sags. A new duration zone division method is used to derive sag duration and occurrence frequency based on … Show more
“…In the study, Bus Performance Index (BPI) [24,25] is adopted to evaluate the severity of voltage sag phenomena from the perspective of utilities and customers in distribution networks. This index takes into account various sag characteristics simultaneously as well as sensitivity of equipment to voltage sags.…”
This paper investigates the impact of different FACTS devices on critical power quality (PQ) phenomena including voltage sags, harmonics and unbalance from the perspective of both mitigation effect and potential negative impact. The FACTS devices, including SVC, STATCOM and DVR, are modeled in commercially available software PowerFactory/DIgSILENT to study their impacts on the critical PQ phenomena. Two control strategies, voltage regulation and reactive power compensation, are considered for STATCOM. For DVR, a PI-controller is developed for the purpose of voltage sag mitigation. The merit of the proposed controller is presented by the dynamic response of during-fault voltage and the capability of post-fault voltage recovery. The study is carried out on a large-scale generic distribution network. The impact of various devices on PQ phenomena is assessed using appropriate evaluation methodologies, and the results obtained with and without mitigation are presented and compared using heatmaps.
“…In the study, Bus Performance Index (BPI) [24,25] is adopted to evaluate the severity of voltage sag phenomena from the perspective of utilities and customers in distribution networks. This index takes into account various sag characteristics simultaneously as well as sensitivity of equipment to voltage sags.…”
This paper investigates the impact of different FACTS devices on critical power quality (PQ) phenomena including voltage sags, harmonics and unbalance from the perspective of both mitigation effect and potential negative impact. The FACTS devices, including SVC, STATCOM and DVR, are modeled in commercially available software PowerFactory/DIgSILENT to study their impacts on the critical PQ phenomena. Two control strategies, voltage regulation and reactive power compensation, are considered for STATCOM. For DVR, a PI-controller is developed for the purpose of voltage sag mitigation. The merit of the proposed controller is presented by the dynamic response of during-fault voltage and the capability of post-fault voltage recovery. The study is carried out on a large-scale generic distribution network. The impact of various devices on PQ phenomena is assessed using appropriate evaluation methodologies, and the results obtained with and without mitigation are presented and compared using heatmaps.
“…Their residual part (i.e., the combined effect between DA −′ and FA − ) together with current DB − caused by the DG connected at B6 results in peak | − | at B6. The proposed approach is further validated on a 96-bus section of a generic UK distribution network [19,20], which is likely to be exposed to unbalance phenomena if unbalance sources exist in the network.…”
Section: Propagation Of Negative-sequence Voltagementioning
This paper presents a sequence networks based methodology for investigating voltage unbalance in distribution networks with renewable generation. The sequence networks are derived from the original asymmetrical three-phase network, and then interconnected to study sequence voltages and unbalance propagation through the network. The approach enables to analyse the influence of line impedance, load demand and network topology on voltage unbalance caused by distributed generation in the network. The critical factors which impact the unbalance severity and the propagation mode are also identified. The approach is validated by comparing calculated sequence voltages with the results obtained by phase voltage based methodology.
“…This concept is borrowed from utility reliability management practice [27], and driven by the need to compare the PQ performance among utility companies or among various feeders. Various techniques have been explored for VSSE in literature, e.g., fault location, probability based methods and Monte Carlo methods [28,29].…”
Abstract-This paper provides a detailed overview of the techniques and applications related to distribution system state estimation (DSSE), together with the classification of various types of state estimation. The paper also provides the state-of-art techniques applied in DSSE including forecasted-aided state estimation, close-loop DSSE methods, the application of computation intelligence in DSSE and the use of smart meters and phasor measurement units in load estimation. As more and more active elements and functionalities will be integrated in future distribution network, e.g. demand-side management, the increased penetration of decentralized generation and dynamically controlled storage/devices, DSSE will be one of the critical functionalities for secure operation of future distribution networks. As a pathway to cost-efficient DSSE for future distribution networks, this paper addresses the characteristics of future distribution grids that will affect DSSE, and also discusses the techniques and data that can be used to better understand/model the network behaviors and load profiles in order to ultimately improve the accuracy of DSSE.
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