Real Time Hardware Validation of Conservation Voltage Reduction Strategy with Measurement based Load Estimation for Optimal Energy Saving

In this paper, the measurement based load estimation for optimal energy saving is proposed. For optimal energy reduction, the system model must be precise. If not, the system may become unstable or energy consumption may increase. In the proposed strategy, accurate estimation of load parameters was achieved using curve fitting and kernel density estimation method based on the data obtained from advanced metering infrastructures (AMI) of each load. After the load parameter estimation, the proposed method aims to minimize the sum of the load, line losses and photovoltaic (PV) inverter’s internal losses by controlling the voltage through reactive power compensation of PVs. The performance of the proposed strategy is validated by hardware platform consisting of real time digital simulator, server, PV emulator and AMIs using hardware in the loop simulation based on Korea Electric Power Corporation single-phase low-voltage system. Simulation results indicate that the proposed strategy can improve the energy efficiency of network.

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Published
2024-10-14
DOI
https://doi.org/10.1109/isgteurope62998.2024.10863569
Primary Topic
Low-power high-performance VLSI design
Type
article
Field-Weighted Citation Impact
0.00

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article

Real Time Hardware Validation of Conservation Voltage Reduction Strategy with Measurement based Load Estimation for Optimal Energy Saving

Hyeong-Jun Yoo, Saehwan Lim, Gyeong-Hun Kim, Jin-Oh Lee et al.
Low-power high-performance VLSI design
article

Real Time Hardware Validation of Conservation Voltage Reduction Strategy with Measurement based Load Estimation for Optimal Energy Saving

Hyeong-Jun Yoo, Saehwan Lim, Gyeong-Hun Kim, Jin-Oh Lee, Soon‐Jong Jeong
article en

Abstract

In this paper, the measurement based load estimation for optimal energy saving is proposed. For optimal energy reduction, the system model must be precise. If not, the system may become unstable or energy consumption may increase. In the proposed strategy, accurate estimation of load parameters was achieved using curve fitting and kernel density estimation method based on the data obtained from advanced metering infrastructures (AMI) of each load. After the load parameter estimation, the proposed method aims to minimize the sum of the load, line losses and photovoltaic (PV) inverter’s internal losses by controlling the voltage through reactive power compensation of PVs. The performance of the proposed strategy is validated by hardware platform consisting of real time digital simulator, server, PV emulator and AMIs using hardware in the loop simulation based on Korea Electric Power Corporation single-phase low-voltage system. Simulation results indicate that the proposed strategy can improve the energy efficiency of network.

Korea Electrotechnology Research Institute (KR)
Korea Agency for Infrastructure Technology Advancement
Affordable and clean energy
Openalex Percentile: Top 75%
Low-power high-performance VLSI design
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