CVR Study and Active Power Loss Estimation Based on Analytical and ANN Method

Abstract

Conservation through voltage reduction (CVR) aims to reduce the peak load and energy savings in electric power systems and is being deployed at various utilities. The effectiveness of the CVR program depends on the load characteristics, i.e., the sensitivity of the load to voltage variation, and voltage regulation device settings. In the current literature, there is a lack of discussion on the CVR factor calculation using different measurements, and there is a lack of method for active power loss estimation using substation measurements. This paper provides insights into CVR factor calculation based on the measurements captured at the substation and those at the load location. This paper also proposes a new method based on curve fitting and artificial neural network to estimate the active power loss using input active power, input reactive power and input voltage at the substation. The CVR comparison study conducted in this paper helps in understanding the factors affecting CVR factor and may provide guidance in CVR implementation and impact assessment. The proposed loss estimation method sheds light on the impacts of CVR in terms of load and loss reduction. The results based on simulation studies using the IEEE 13-bus and 34-bus systems are reported in this paper, noting that the proposed methods are applicable to larger systems, as long as the required measurements at the substation are available. Future research includes testing and refining the methods using large IEEE and utility distribution systems and considering the stochastic nature of the CVR factor with changing load and voltage regulator control schemes.

Power Network Planning Method of New Energy Consumption Based on Automatic Control Theory

“…Taking wind power as a negative load, the generalized power load curve is obtained. Due to the volatility and uncontrollability of wind power, the peak valley difference of generalized power load increases, and the peak shaving demand increases, Limited by the minimum technical output and start-up and shutdown time of conventional units, the output cannot be reduced during the low load period, resulting in the rejection of air, and the calculated rejection air volume is much larger than the normal rejection air volume [7]. The wind power load matching degree is used to judge the generation tracking load characteristics of the interconnected area, and the source load space-time matching measurement is carried out for the interconnected area [8].…”