Using Load Forecasting to Control Domestic Battery Energy Storage Systems

Abstract

The profitability of domestic battery energy storage systems has been poor and this is the main barrier to their general use. It is possible to increase profitability by using multiple control targets. Market price-based electricity contracts and power-based distribution tariffs alongside storage of surplus photovoltaic energy make it possible to have multiple control targets in domestic use. The battery control system needs accurate load forecasting so that its capacity can be utilized in an optimally economical way. This study shows how the accuracy of short-term load forecasting affects cost savings by using batteries. The study was conducted by simulating actual customers’ load profiles with batteries utilized for different control targets. The results of the study show that knowledge of customers’ load profiles (i.e., when high and low peaks happen) is more important that actual forecast accuracy, as measured by error criteria. In many cases, the load forecast based on customers’ historical load data and the outdoor temperature is sufficient to be used in the control system, but in some cases a more accurate forecast can give better cost savings.

Optimal Coordinated Energy Management in Active Distribution System with Battery Energy Storage and Price-Responsive Demand

“…However, the proper coordination among multiple DERs is essential from both the operational and economic efficiency point of view of the current distribution systems. For better economic efficiency, RESs must be fully tapped and utilized locally [18,21]. In this context, the optimal management of energy storage system (ESS) has been acknowledged as an amicable solution.…”

“…In this context, the optimal management of energy storage system (ESS) has been acknowledged as an amicable solution. BESSs are getting more and more attention and application in distribution system because of its characteristics of bidirectional charging [19][20][21][22][23][24]. is ability is crucial while considering dynamic electricity price as BESSs can store energy during off-peak hours and deliver the same during peak hours.…”