Allocation and integrated configuration of capacitor banks and voltage regulators considering multi-objective variables in smart grid distribution system

Madruga, Ederson Pereira; Canha, Luciane Neves

doi:10.1109/induscon.2010.5740055

Cited by 12 publications

(5 citation statements)

References 3 publications

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“…Note that C is the set that contains all the capacitor types available for location in the distribution network. The number of capacitor banks available for location can be upper bounded as presented in (7).…”

Section: Set Of Constraintsmentioning

confidence: 99%

“…To deal with the problem of power losses in distribution networks, utilities can use multiple alternatives, which include the topology variations and connection of shunt devices [6][7][8]. In the case of topology variations, the most common approach is adding different distribution lines that reconfigure the grid to obtain a configuration that reduces the power losses for a particular load condition [9].…”

Section: Introduction 1general Contextmentioning

confidence: 99%

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On the Conic Convex Approximation to Locate and Size Fixed-Step Capacitor Banks in Distribution Networks

2022

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The problem of the optimal siting and sizing of fixed-step capacitor banks is studied in this research from the standpoint of convex optimization. This problem is formulated through a mixed-integer nonlinear programming (MINLP) model, in which its binary/integer variables are related to the nodes where the capacitors will be installed. Simultaneously, the continuous variables are mainly associated with the power flow solution. The main contribution of this research is the reformulation of the exact MINLP model through a mixed-integer second-order cone programming model (MI-SOCP). This mixed-integer conic model maintains the nonlinearities of the original MINLP model; however, it can be solved efficiently with the branch & bound method combined with the interior point method adapted for conic programming models. The main advantage of the proposed MI-SOCP model is the possibility of finding the global optimum based on the convex nature of the power flow problem for each binary/integer variable combination in the branch & bound search tree. The numerical results in the IEEE 33- and IEEE 69-bus systems demonstrate the effectiveness and robustness of the proposed MI-SOCP model compared to different metaheuristic approaches. The MI-SOCP model finds the final power losses of the IEEE 33- and IEEE 69-bus systems of 138.416kW and 145.397kW, which improves the best literature results reached with the flower pollination algorithm, i.e., 139.075 kW, and 145.860kW, respectively. The simulations are carried out in MATLAB software using its convex optimizer tool known as CVX with the Gurobi solver.

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Section: Set Of Constraintsmentioning

confidence: 99%

Section: Introduction 1general Contextmentioning

confidence: 99%

On the Conic Convex Approximation to Locate and Size Fixed-Step Capacitor Banks in Distribution Networks

2022

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“…For this reason, several [106] or system optimal reconfiguration [113]. The effectiveness of SCs (as well as other regulatory devices such as tap changers [115] and static var compensators [116]) is limited by their maximum allowable limits in the system. In addition, the installation of such devices might be very expensive, especially for large systems.…”

Section: Shunt Capacitor Allocationmentioning

confidence: 99%

Overview of Loss Sensitivity Analysis in Modern Distribution Systems

Abujubbeh

Natarajan

2022

IEEE Access

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“…For high voltage systems, an algorithm was presented to compute the optimal allocation and configuration of voltage regulators and capacitor banks in power distribution systems in [16]. The algorithm first determined the power flow using a current sum method and then used a genetic algorithm for the allocation and configuration of equipment.…”

Section: Literature On Automatic Voltage Regulationmentioning

confidence: 99%

Clustering methods for the efficient voltage regulation in smart grids

Abegaz

2021

The Journal of Engineering

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In this paper, clustering methods are presented to enhance the stability of automatic voltage regulators using the efficient adjustment of their respective gains. The results show that implementations of some of the clustering algorithms provide better reliability and stability for the feedback‐based voltage regulators as compared to the other methods, namely, a model predictive controller (MPC), a gaussian mixture model (GMM), a self‐organizing mapping (SOM) and hierarchical clustering (HC) methods. Specifically, the K‐Means clustering approach (KM) provided superior stability but a slower rise time of the output voltage of the voltage regulators as compared to the other methods. Furthermore, coordination of the clustering methods is tested for a 10 machine, 39 bus power grid system. The results show that the clustering approach could be applied to improve the efficiency of voltage regulation methods in smart grids and related cyber‐physical systems.

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Allocation and integrated configuration of capacitor banks and voltage regulators considering multi-objective variables in smart grid distribution system

Cited by 12 publications

References 3 publications

On the Conic Convex Approximation to Locate and Size Fixed-Step Capacitor Banks in Distribution Networks

On the Conic Convex Approximation to Locate and Size Fixed-Step Capacitor Banks in Distribution Networks

Overview of Loss Sensitivity Analysis in Modern Distribution Systems

Clustering methods for the efficient voltage regulation in smart grids

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