Reactive Power and Voltage Optimization Control Strategy in Active Distribution Network Based on the Determination of the Key Nodes

Meng, Qingmeng; Che, Renfei; Gao, Shi

doi:10.1088/1757-899x/199/1/012101

Cited by 4 publications

(4 citation statements)

References 2 publications

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“…Kotenev et al [3] present a mathematical model to control reactive voltage on a node by using the synchronous motor excitation control. Meng et al [4] present a key node determination method to control reactive power and voltage optimization by compensation devices installed at the key nodes. Zechun and Mingming [5] choose the compensation nodes based on the sensitivity analysis.…”

Section: Introductionmentioning

confidence: 99%

Grid reactive voltage regulation and cost optimization for electric vehicle penetration in power network

Nagi

Azwin²,

Boopalan³

et al. 2022

IJEECS

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Expecting large electric vehicle (EV) usage in the future due to environmental issues, state subsidies, and incentives, the impact of EV charging on the power grid is required to be closely analyzed and studied for power quality, stability, and planning of infrastructure. When a large number of energy storage batteries are connected to the grid as a capacitive load the power factor of the power grid is inevitably reduced, causing power losses and voltage instability. In this work large-scale 18K EV charging model is implemented on IEEE 33 network. Optimization methods are described to search for the location of nodes that are affected most due to EV charging in terms of power losses and voltage instability of the network. Followed by optimized reactive power injection magnitude and time duration of reactive power at the identified nodes. It is shown that power losses are reduced and voltage stability is improved in the grid, which also complements the reduction in EV charging cost. The result will be useful for EV charging stations infrastructure planning, grid stabilization, and reducing EV charging costs.

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Section: Introductionmentioning

confidence: 99%

Grid reactive voltage regulation and cost optimization for electric vehicle penetration in power network

Nagi

Azwin²,

Boopalan³

et al. 2022

IJEECS

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“…Compared to the traditional approach, the proposed optimization technique reported significant improvement in the voltage performance of the feeders as well as reduction of losses. In a related study, using the particle swarm optimization (PSO) method, a novel voltage control strategy was proposed in [9] to minimize power loss within a voltage optimization model. The results indicated that the proposed method was capable of solving the voltage violation issues, while also reducing the power loss and reasonably improving the voltage performance.…”

Section: Introductionmentioning

confidence: 99%

“…The results indicated that the proposed method was capable of solving the voltage violation issues, while also reducing the power loss and reasonably improving the voltage performance. These methods in [8,9], however, are based on heuristics and are incapable of providing viable solutions that deliver the optimal solution. In contrast to heuristic methods, mathematical optimization methods are able to consistently provide a guarantee on the optimality of the solution [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Volt-VAr Optimization of a Low Voltage Distribution Network in Nigeria

Udoakah

Inaolaji

Cipcigan

et al. 2022

2022 IEEE PES/IAS PowerAfrica

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Volt-VAr optimization (VVO) is important in a distribution system as the performance of the entire network depends on the voltage profile to a very large extent. The deployment of renewable energy sources, particularly photovoltaic (PV) systems, is usually achieved at the medium voltage (MV) and low voltage (LV) levels of distribution feeders and may exacerbate the challenges associated with maintaining the voltage profile within the pre-defined limits. For such a PV-rich system, VVO can be carried out such that the inverter-based PV systems can actively participate in voltage regulation and optimization by providing flexible reactive power support. This paper addresses the voltage concerns associated with high PV penetration by implementing a distribution grid optimal power flow (DOPF) problem on a realistic LV distribution network in Kano, Nigeria. The current injection-based I-V DOPF formulation is used to model the grid and the VVO utilizes the reactive power of the PV inverter to minimize the active power losses in the network. The results demonstrate the ability of the VVO to perform voltage regulation and can serve as a viable technique for mitigating voltage violation issues in the Nigerian grid.

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“…Reactive power injection is also used for power stability, the synchronous motor excitation method at affected nodes was used by Kotenev et al [3]. A key node reactive power injection for voltage optimization is presented by Meng and Gao [4]. Zechun and Mingming [5] inject reactive power at nodes based on the sensitivity analysis.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Grid Reactive Voltage Regulation with Reconfiguration Network for Electric Vehicle Penetration

et al. 2022

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Renewable energy sources and EV growth brings new challenges for grid stabilization. Smart grid techniques are required to reconfigure and compensate for load fluctuation and stabilize power losses and voltage fluctuation. Numerical tools are available to equip the smart grid to deal with such challenges. Distribution Feeder reconfiguration and reactive voltage injection to the disturbed grid are some of the techniques employed for the purpose. However, either reconfiguration or injection alone is used commonly for this purpose. In this study, both techniques are applied to EV penetration as load and compared. A balanced IEEE 33 Radial network is used in this study and selected branches with high power losses are targeted for the reactive voltage injection and Minimum Spanning tree techniques (MST). EV charging loads are usually modelled with time base distribution which requires times base power flow analysis for reactive power injection. A comparison between coordinated, reconfiguration, and reactive voltage injection shows differences in power losses, voltage distortion, and cost saving. The analysis is carried out with an integer linear programming technique for coordinated charging, a minimum spanning tree for network reconfiguration, and genetic optimization for reactive power injection. Besides, all power flow analyses are carried out with the Backward/Forward sweep method. The information would help lowering power losses, grid stabilization, and charging station infrastructure planning.

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Reactive Power and Voltage Optimization Control Strategy in Active Distribution Network Based on the Determination of the Key Nodes

Cited by 4 publications

References 2 publications

Grid reactive voltage regulation and cost optimization for electric vehicle penetration in power network

Grid reactive voltage regulation and cost optimization for electric vehicle penetration in power network

Volt-VAr Optimization of a Low Voltage Distribution Network in Nigeria

Comparison of Grid Reactive Voltage Regulation with Reconfiguration Network for Electric Vehicle Penetration

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