Voltage/VAR Control in Distribution Networks via Reactive Power Injection Through Distributed Generators

Deshmukh, Siddharth; Natarajan, Balasubramaniam; Pahwa, Anil

doi:10.1109/tsg.2012.2196528

Cited by 158 publications

(81 citation statements)

References 25 publications

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“…But instead of solving (14), online optimization algorithms minimize a locally tight upper bound of the cost in (14). Such a bound can be obtained by maintaining To practically implement the stochastic reactive control scheme of (13), two issues need to be resolved: finding the minimizer of (13) and calculating the subgradient g t involved.…”

Section: Stochastic Approximation Solvermentioning

confidence: 99%

Stochastic reactive power management in microgrids with renewables

Kekatos

Wang

Conejo

et al. 2015

2015 IEEE Power &Amp; Energy Society General Meeting

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Abstract-Distribution microgrids are being challenged by reverse power flows and voltage fluctuations due to renewable generation, demand response, and electric vehicles. Advances in photovoltaic (PV) inverters offer new opportunities for reactive power management provided PV owners have the right investment incentives. In this context, reactive power compensation is considered here as an ancillary service. Accounting for the increasing time-variability of distributed generation and demand, a stochastic reactive power compensation scheme is developed. Given uncertain active power injections, an online reactive control scheme is devised. This scheme is distribution-free and relies solely on power injection data. Reactive injections are updated using the Lagrange multipliers of a second-order cone program. Numerical tests on an industrial 47-bus microgrid and the residential IEEE 123-bus feeder corroborate the reactive power management efficiency of the novel stochastic scheme over its deterministic alternative, as well as its capability to track variations in solar generation and household demand.

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Section: Stochastic Approximation Solvermentioning

confidence: 99%

Stochastic reactive power management in microgrids with renewables

Kekatos

Wang

Conejo

et al. 2015

2015 IEEE Power &Amp; Energy Society General Meeting

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“…The heuristic method can find a global optimum value, but a large number of decision variables substantially increase the time required to calculate an optimal solution. This method is inappropriate for the KSDMS VVO, a real-time application that needs to calculate the reference values of the control equipment within a limited time [16,17]. Therefore, we adapted the sequential mixed integer linear programming (SMILP) method as shown in Figure 6, a deterministic method, to find the optimal solution of the OPFs.…”

Section: Solution Optimization Methodsmentioning

confidence: 99%

“…For the SCM, the decision variable u i is divided into three terms to linearize the object function with an absolute operator, Equation (16), as:…”

Section: Solution Optimization Methodsmentioning

confidence: 99%

Development and Field Test of Voltage VAR Optimization in the Korean Smart Distribution Management System

et al. 2014

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This paper is a summary of the development and demonstration of an optimization program, voltage VAR optimization (VVO), in the Korean Smart Distribution Management System (KSDMS). KSDMS was developed to address the lack of receptivity of distributed generators (DGs), standardization and compatibility, and manual failure recovery in the existing Korean automated distribution system. Focusing on the lack of receptivity of DGs, we developed a real-time system analysis and control program. The KSDMS VVO enhances manual system operation of the existing distribution system and provides a solution with all control equipment operated at a system level. The developed VVO is an optimal power flow (OPF) method that resolves violations, minimizes switching costs, and minimizes loss, and its function can vary depending on the operator's command. The sequential mixed integer linear programming (SMILP) method was adopted to find the solution of the OPF. We tested the precision of the proposed VVO on selected simulated systems and its applicability to actual systems at two substations on the Jeju Island. Running the KSDMS VVO on a regular basis improved system stability, and it also raised no issues regarding its applicability to actual systems. OPEN ACCESSEnergies 2014, 7 644 Keywords: voltage VAR control; optimal power flow (OPF); distribution management system (DMS); dispersed generator; distribution network analysis; linear programming; distribution automation system; optimal method Nomenclature:

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“…The modification parts are described as follows: the location of inverter-based DG units are defined with the white dot. The power configurations of inverter-based DG unit are calculated by the 0.9 power factor based on the data in [16], which the grid supporting mode is applied in this part. The substation is defined through 115/4.16kV 5MVA Dyn1 distribution transformer.…”

Section: Case2 -Demonstration Of Asymmetrical Hybrid Decoupling Analysismentioning

confidence: 99%

Active Distribution Grid Power Flow Analysis using Asymmetrical Hybrid Technique

Wirasanti¹,

Ortjohann²

2017

IJECE

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A conventional distribution power flow analysis has to be improved regards the changes in distribution network. One of the changes is a grid operation because a new grid concept, e.g. micro-grid and aggregation, is aimed to be operated based on area itself. Consequently, each area can be actively operated in either grid connected mode or islanding mode. Hence, this paper proposes an asymmetrical power flow analysis using hybrid technique to support this flexible mode change. The hybrid technique offers an opportunity to analyze power flow in a decoupling way. This means that the power flow analysis can be performed separately in each grid area. Regards the distributed generation, this paper also introduces a model based on inverter-based operation, i.e. grid forming, grid supporting and grid parallel. The proposed asymmetrical hybrid load flow method is examined in three case studies, i.e. a verification study with the DIgSILENT PowerFactory, a demonstration of decoupling analysis approach and a performance study with the Newton-Raphson method. Keyword:Asymmetrical power flow Decoupling analysis approach DG modelling for power flow Hybrid calculation technique

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Voltage/VAR Control in Distribution Networks via Reactive Power Injection Through Distributed Generators

Cited by 158 publications

References 25 publications

Stochastic reactive power management in microgrids with renewables

Stochastic reactive power management in microgrids with renewables

Development and Field Test of Voltage VAR Optimization in the Korean Smart Distribution Management System

Active Distribution Grid Power Flow Analysis using Asymmetrical Hybrid Technique

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