Energy savings in distribution network with smart grid-enabled CVR and distributed generation

Singh, Shailendra; Thakur, Amit Kumar

doi:10.1109/npsc.2016.7858959

Cited by 14 publications

(6 citation statements)

References 23 publications

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“…However, authors in [16][17][18][19][20][21][22][23] have not analysed the voltage control through PV inverter during CVR. Combined effect of CVR and PV inverters has been demonstrated in [24][25][26][27]. In [24], a slow and fast time-scale-based VVC scheme for CVR is proposed with the objective of minimising total energy consumption.…”

Section: Introductionmentioning

confidence: 99%

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Energy saving estimation in distribution network with smart grid‐enabled CVR and solar PV inverter

Singh

2018

IET Generation, Transmission & Distribution

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Section: Introductionmentioning

confidence: 99%

“…The optimal reactive power support through PV inverter with the objective of minimising voltage deviation has been presented in [25]. Significant energy savings have been reported in [26] through CVR with reactive power compensation. Although, compensated reactive power from the DG inverter has not been controlled in this paper.…”

Section: Introductionmentioning

confidence: 99%

Energy saving estimation in distribution network with smart grid‐enabled CVR and solar PV inverter

Singh

2018

IET Generation, Transmission & Distribution

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“…The voltage profile could be flattened by placing capacitors at different sites to enhance the power factor and decrease power loss. However, the recent trend to reduce the dependency on the grid is to integrate the distributed generation resources and CVR technique into the distribution power system [8], [9]. The Demand Side Management (DSM) technique is considered as one of the efficient solutions for energy consumption management.…”

Section: Introductionmentioning

confidence: 99%

“…CVR with a droop control method is utilized again for a PV standalone system and storage devices. The used technique has reduced the number of charging/discharging processes of storage devices and improve energy consumption with more savings [9]. Two load models ZIP and exponential are compared to evaluate the CVR in a comprehensive way utilizing real data from a 22.86 kV distribution system [10].…”

Section: Introductionmentioning

confidence: 99%

Conservation Voltage Reduction Case Study

et al. 2020

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A Conservation Voltage Reduction (CVR) is an efficient method to manage the load demand in distribution power systems. This paper proposes the utilization of the CVR method on Washington EMC's power system and Georgia Transmission Corporation facilities. The utility's peak power consumption is reduced to determine the figures of wattage and money saved. The CVR technique is implemented within the ANSI standards and with an efficient CVR, factor to maintain the efficient performance of the system and satisfy the consumers' needs. The principle of operation, concepts of modeling, and substation CVR management are illustrated. The CVR methodology including utility circuit, smart meters' data, management, savings, and analysis is presented. Then, experimental CVR scenarios, smart meters' experimental CVR data, CVR steady-state analysis and experimental CVR management using SCADA are investigated and analyzed. After that, a CVR dynamic prediction model is established using the Neural Network (NN) and validated by means of comparisons with actual data and the Gaussian model. Power saving, power demand, yearly money-saving real data from EMC utility, and real temperature data from NOAA is used to create the CVR dynamic model with a minimum average error percentage of 0.22 % w.r.t the real-data. Finally, a SCADA system operation is discussed along with the potential future improvements and research directions.

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“…Singh et al . [17] propose a smart grid‐enabled CVR operation, which controls the VVC of distribution feeders. The results of the proposed method show that peak load demand can be reduced with combined operation of smart grid‐enabled CVR and DG. (ii) DERs with voltage regulation capability : In 2014, the amendment to IEEE Std.…”

Section: Introductionmentioning

confidence: 99%