Voltage sensitivity analysis in radial MV distribution networks using constant current models

Conti, S.; Raiti, S.; Vagliasindi, G.

doi:10.1109/isie.2010.5637545

Cited by 35 publications

(25 citation statements)

References 18 publications

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“…For this reason, the authors of [14] have proposed the direct computation of voltages and network losses sensitivity coefficients, based on the Gauss-Seidel formulation of the load flow problem, by making use of the [Z] matrix of a balanced network. Also, in [7] it has been proposed the use of the [Z] matrix along with the constant-current model for loads and generators. In [8] the sensitivity coefficients are proposed to be calculated starting from the network branch currents.…”

Section: Introductionmentioning

confidence: 99%

Efficient Computation of Sensitivity Coefficients of Node Voltages and Line Currents in Unbalanced Radial Electrical Distribution Networks

Christakou

Leboudec

Paolone

et al. 2013

IEEE Trans. Smart Grid

263

211

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Abstract-The problem of optimal control of power distribution systems is becoming increasingly compelling due to the progressive penetration of distributed energy resources in this specific layer of the electrical infrastructure. Distribution systems are, indeed, experiencing significant changes in terms of operation philosophies that are often based on optimal control strategies relying on the computation of linearized dependencies between controlled (e.g., voltages, frequency in case of islanding operation) and control variables (e.g., power injections, transformers tap positions). As the implementation of these strategies in real-time controllers imposes stringent time constraints, the derivation of analytical dependency between controlled and control variables becomes a non-trivial task to be solved. With reference to optimal voltage and power flow controls, this paper aims at providing an analytical derivation of node voltages and line currents as a function of the nodal power injections and transformers tap-changers positions. Compared to other approaches presented in the literature, the one proposed here is based on the use of the compound matrix of a generic multi-phase radial unbalanced network. In order to estimate the computational benefits of the proposed approach, the relevant improvements are also quantified versus traditional methods. The validation of the proposed method is carried out by using both IEEE 13 and 34 nodes test feeders. The paper finally shows the use of the proposed method for the problem of optimal voltage control applied to the IEEE 34 node test feeder.Index Terms-Power systems optimal operation, smart grids, unbalanced electrical distribution networks, voltage/current sensitivity coefficients.

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Section: Introductionmentioning

confidence: 99%

Efficient Computation of Sensitivity Coefficients of Node Voltages and Line Currents in Unbalanced Radial Electrical Distribution Networks

Christakou

Leboudec

Paolone

et al. 2013

IEEE Trans. Smart Grid

263

211

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“…This is implemented by using the sensitivity matrix. [9] The aggregation process tests for each actuator flexibility, if the control intervention causes a critical situation for the LV grid. These test provides the maximum actuator flexibility which is possible with the installed actuators and the available LV utilities.…”

Section: Aggregation Process Of the Flexibilitymentioning

confidence: 99%

Interaction of MV- and LV-automation systems for a smart distribution grid

Steinbusch

Modemann

Meese

et al. 2017

CIRED - Open Access Proceedings Journal

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The electrical energy sector is in a fundamental changing process. The integration of decentral renewable power plant and new electrical devices, like electrical vehicles, cause critical situations in the distribution grid. Smart grid systems can solve these situations. Nowadays there are smart grid solutions for the medium or the low voltage level. These systems work decentral (semi-) autarkic and consider only one single voltage level although there are huge interdependencies between the different levels. For this reason this paper starts with the approach to build up a holistic smart grid system for the complete distribution grid. Such a system can provide a reliable energy system in a more efficient way. As a first step, the interactions between medium and low voltage smart grid systems are shown in this paper. Especially the ability of the low voltage system to be an aggregated medium voltage actuator is presented. The low voltage smart grid system aggregates all actuators for the medium voltage and provides reliable actuator flexibility. Possible aggregation modes and control strategies are shown and it is evaluated how low voltage grids can be used as a medium voltage actuator. Especially the assessment of the actuator flexibility is in the focus of the paper. For this reason, different simulations have been carried out. It will be shown, that the combination of both LV-and MV-systems in a holistic smart distribution grid will open up huge synergy effects.

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“…At first, the algorithm uses an approximate method proposed in [30] to determine voltage sensitivity values between locations of maximum and minimum voltages and all controllable reactive power resources. After that, the resource that has the highest voltage sensitivity value in proportion to the location of the voltage exceeding its limit is selected.…”

Section: A the Rule Based Algorithmmentioning

confidence: 99%

Coordinated Voltage Control in Distribution Networks Including Several Distributed Energy Resources

Kulmala

Repo

Järventausta

2014

IEEE Trans. Smart Grid

222

124

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Connecting distributed generation (DG) to weak distribution networks can often cause voltage rise problems. Traditionally, these voltage rise problems have been mitigated by passive methods such as reinforcing the network. This can, however, lead to high connection costs of DG. The connection costs can in many cases be lowered if active voltage control methods are used instead of the passive approach. In this paper, two coordinated voltage control algorithms suitable for usage in distribution networks including several distributed energy resources are proposed and studied. The first algorithm uses control rules to determine its control actions and the second algorithm utilizes optimization. The operation of the implemented algorithms is, at first, studied using time domain simulations. Thereafter, the network effects and costs of both algorithms are compared using statistical distribution network planning and also practical implementation issues are discussed.

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Voltage sensitivity analysis in radial MV distribution networks using constant current models

Cited by 35 publications

References 18 publications

Efficient Computation of Sensitivity Coefficients of Node Voltages and Line Currents in Unbalanced Radial Electrical Distribution Networks

Efficient Computation of Sensitivity Coefficients of Node Voltages and Line Currents in Unbalanced Radial Electrical Distribution Networks

Interaction of MV- and LV-automation systems for a smart distribution grid

Coordinated Voltage Control in Distribution Networks Including Several Distributed Energy Resources

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