Voltage Sensitivity Analysis of a Laboratory Distribution Grid With Incomplete Data

Weckx, Sam; D’hulst, Reinhilde; Driesen, Johan

doi:10.1109/tsg.2014.2380642

Cited by 54 publications

(35 citation statements)

References 44 publications

(36 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In addition, smart meters and substation metering are being deployed to remotely access measurement data of millions of points in the electricity grid. This measurement data can not only be used to provide feedback to customers, but also to identify theft of electricity [82], and prevent power quality issues and local grid overloading [164].…”

Section: Monitoringmentioning

confidence: 99%

See 1 more Smart Citation

A cyber-physical systems perspective on decentralized energy management

Hoogsteen¹

View full text Add to dashboard Cite

Section: Monitoringmentioning

confidence: 99%

“…For example the physical location of the house in the network has influence on the magnitude of observed voltage fluctuations. Both r and α may be defined using extensive models or sensitivity analysis such as described by Weckx et al [164].…”

Section: Local Clearing Pricementioning

confidence: 99%

A cyber-physical systems perspective on decentralized energy management

Hoogsteen¹

View full text Add to dashboard Cite

“…Like in DC power flow models [17], AC models can be approximated with a linear model to describe the influence of PV panels and flexible loads on the voltage magnitude [19,[22][23][24][25][26]. The voltage at a node m can be approximated by:…”

Section: Simulated Networkmentioning

confidence: 99%

“…Another advantage is that these sensitivity factors can be approximated based on historic smart meter data, without having information about the exact grid topology [24].…”

Section: Simulated Networkmentioning

confidence: 99%

Locational Pricing to Mitigate Voltage Problems Caused by High PV Penetration

2015

Self Cite

View full text Add to dashboard Cite

In this paper, a locational marginal pricing algorithm is proposed to control the voltage in unbalanced distribution grids. The increasing amount of photovoltaic (PV) generation installed in the grid may cause the voltage to rise to unacceptable levels during periods of low consumption. With locational prices, the distribution system operator can steer the reactive power consumption and active power curtailment of PV panels to guarantee a safe network operation. Flexible loads also respond to these prices. A distributed gradient algorithm automatically defines the locational prices that avoid voltage problems. Using these locational prices results in a minimum cost for the distribution operator to control the voltage. Locational prices can differ between the three phases in unbalanced grids. This is caused by a higher consumption or production in one of the phases compared to the other phases and provides the opportunity for arbitrage, where power is transferred from a phase with a low price to a phase with a high price. The effect of arbitrage is analyzed. The proposed algorithm is applied to an existing three-phase four-wire radial grid. Several simulations with realistic data are performed.

show abstract

“…In [12], both the Gauss-Seidel method and Z-bus matrix have been used to derive voltage and loss sensitivity coefficients as functions of real and reactive power injections. In [13], voltage sensitivity factors and a linear load flow model for LV distribution system have been derived by using historical smart meter data. In [14], sensitivities of bus voltage magnitudes to load changes have been calculated using the adjoint-network method.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity-Based Model of Low Voltage Distribution Systems with Distributed Energy Resources

et al. 2016

View full text Add to dashboard Cite

A key issue in Low Voltage (LV) distribution systems is to identify strategies for the optimal management and control in the presence of Distributed Energy Resources (DERs). To reduce the number of variables to be monitored and controlled, virtual levels of aggregation, called Virtual Microgrids (VMs), are introduced and identified by using new models of the distribution system. To this aim, this paper, revisiting and improving the approach outlined in a conference paper, presents a sensitivity-based model of an LV distribution system, supplied by an Medium/Low Voltage (MV/LV) substation and composed by several feeders, which is suitable for the optimal management and control of the grid and for VM definition. The main features of the proposed method are: it evaluates the sensitivity coefficients in a closed form; it provides an overview of the sensitivity of the network to the variations of each DER connected to the grid; and it presents a limited computational burden. A comparison of the proposed method with both the exact load flow solutions and a perturb-and-observe method is discussed in a case study. Finally, the method is used to evaluate the impact of the DERs on the nodal voltages of the network.

show abstract

Voltage Sensitivity Analysis of a Laboratory Distribution Grid With Incomplete Data

Cited by 54 publications

References 44 publications

A cyber-physical systems perspective on decentralized energy management

A cyber-physical systems perspective on decentralized energy management

Locational Pricing to Mitigate Voltage Problems Caused by High PV Penetration

Sensitivity-Based Model of Low Voltage Distribution Systems with Distributed Energy Resources

Contact Info

Product

Resources

About