A review of Volt/Var control techniques in passive and active power distribution networks

Tahir, Monsef; Nassar, Mohamed; El-Shatshat, Ramadan; Salama, M.M.A.

doi:10.1109/sege.2016.7589500

Cited by 29 publications

(17 citation statements)

References 39 publications

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“…Many researchers have successfully applied PSO algorithms for optimal power flow problems [19]. A comprehensive review of PSO algorithms and applications to power system problems is provided in reference [20].…”

Section: Particle Swarm Optimization Algorithmmentioning

confidence: 99%

Reactive Power Optimal Control of a Wind Farm for Minimizing Collector System Losses

2018

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A reactive power/voltage control strategy is proposed that uses wind turbines as distributed reactive power sources to optimize the power flow in large-scale wind farms and reduce the overall losses of the collector system. A mathematical model of loss optimization for the wind farm collector systems is proposed based on a reactive power/voltage sensitivity analysis; a genetic algorithm (GA) and particle swarm optimization (PSO) algorithm are used to validate the optimization performances. The simulation model is established based on a large-scale wind farm. The results of multiple scenarios show that the proposed strategy is superior to the traditional methods with regard to the reactive power/voltage control of the wind farm and the loss reduction of the collector system. Furthermore, the advantages in terms of annual energy savings and environmental protection are also estimated.

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Section: Particle Swarm Optimization Algorithmmentioning

confidence: 99%

Reactive Power Optimal Control of a Wind Farm for Minimizing Collector System Losses

2018

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“…By considering the fuzziness and randomness in the process of constructing the judgment matrix, the weight set cloud model makes the judgment matrix more objective and effective. It can be formulated as Theoretical line loss rate X 21 Theoretical distribution transformer loss rate X 22 Load X 3 Power factor X 31 Line optimal load area X 32 Load factor X 33 Distribution network equipment X 4 Qualified rate of distribution transformer load rate X 41 Qualified rate of line sectional area X 42 Proportion of high-energy-consuming transformer X 43 Power grid layout X 5 Power supply radius X 51 Capacity-load ratio X 52 Operation mode X 53 Transformer-line matching X 54 Grid connected economic characteristic X 6 ADN accommodation profit rate X 61 ADN loss contribution rate X 62 ADN peak-load shaving effect contribution X 63 ADN CL rate X 64 ADN penetration rate X 65 ADN accommodation profit rate X 66 ADN, active distribution network, CL, controllable load.…”

Section: Index Weight Set Based On Cloud Model First Ofmentioning

confidence: 99%

“…The International Council on Large Electric Systems (CIGRE) Working Group C6.11 proposed the concept of ADN in 2008, which is a distribution network with effective management by flexible network technology and the DERs under integrated control [3,4]. DERs include distributed generation (DG), electrical energy storage (EES), and CL, and others [5,6]. The evaluation of the economical operation of ADN is not only an important guarantee for energy saving, loss reduction, and a guide for the improvement and planning of the distribution network systems but also a positive guidance to the coordination and management of DERs.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and sensitivity analysis for economical operation of active distribution network

Zhu

Gao

et al. 2018

IEEJ Transactions Elec Engng

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memberWith the connection of a large number of distributed energy resources to the power grid, the problem of economical operation of an active distribution network (ADN) has restricted its application. According to the economics of ADN operation, an innovative evaluation index system is proposed and a cloud model is established for evaluating the economical operation of an ADN. In addition, a sensitivity analysis is carried out on the value and weight of the index value. First, the ADN accommodation profit rate, ADN loss contribution rate, etc. are defined. In addition, an evaluation index system is established for the economical operation of ADNs. Index weight cloud model, evaluation grade boundary cloud model, correlation evaluation matrix cloud model, and final evaluation results cloud model are proposed based on the three numeric characteristics of the cloud model, namely expectation value (Ex), entropy (En), and hyper entropy (He). Our evaluation results are close to the actual ones considering uncertainty. Besides, a method for analyzing the the index value and index weight is proposed, which provides a basis for improving the economical operation of ADNs. Finally, simulation results demonstrate the rationale and validity of the index system and the evaluation method of the cloud model, as well as the practicability of sensitive analysis.

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“…The voltage deviation problem could be mitigated by managing the reactive power of the systems, by means choosing proper capacitor compensation capacity or installing a dynamic reactive power compensation device [5,6]. Brief reviews of the conventional volt/var control algorithm for regulating the voltage deviation in the distribution system, as the effect of output power fluctuations are discussed in [7][8][9]. This strategy could improve the control abilities of the wind power system not only producing active power but also producing/consuming the reactive power to or from the grid.…”

Section: Introductionmentioning

confidence: 99%

Voltage Deviation Minimization of Grid Connected Wind Generation System Using Hybrid PI-Fuzzy Logic Controller Based Static Var Compensator

Winarno¹,

Ashari²,

Suryoatmojo³

2020

IJIES

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This paper proposed a Hybrid PI-Fuzzy based Static Var Compensator for minimizing voltage deviations as the integration of wind power generation to the distribution network. Hybrid PI-Fuzzy Logic controller constructed by the cascade-connected conventional PI controller and Fuzzy Logic controller. This algorithm combined the advantages and minimized the disadvantages of each conventional controller. The control method applied to the Static Var Compensator, which functioned as a dynamic reactive power source. The controlled dynamic reactive power source influenced the system with proper reactive power value, which resulted in the voltage regulation. Two scenarios were carried out to investigate the efficacy of the proposed method. The first scenario demonstrates the performance of the proposed system in wind speed variations and the second scenario in load variation conditions. Finally, the comparisons with Fuzzy Logic Controller-based self-tuning PI control were made to investigate the performance of the proposed control method. Simulation results verified that the proposed control algorithm outperformed the FLCbased self-tuning PI controller, in terms of the steady-state voltage deviation minimization by 1.47% and the settling time of the voltage respond decrement by 92.78%.

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A review of Volt/Var control techniques in passive and active power distribution networks

Cited by 29 publications

References 39 publications

Reactive Power Optimal Control of a Wind Farm for Minimizing Collector System Losses

Reactive Power Optimal Control of a Wind Farm for Minimizing Collector System Losses

Evaluation and sensitivity analysis for economical operation of active distribution network

Voltage Deviation Minimization of Grid Connected Wind Generation System Using Hybrid PI-Fuzzy Logic Controller Based Static Var Compensator

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