Economic and Efficient Voltage Management Using Customer-Owned Energy Storage Systems in a Distribution Network With High Penetration of Photovoltaic Systems

Abstract

The widespread installation of distributed generation systems is crucial for making optimal use of renewable energy. However, local distribution networks face voltage fluctuation problems if numerous photovoltaic (PV) systems are connected. Recently, energy storage systems that can be installed at commercial customers have been developed. This paper proposes a concept that solves the voltage fluctuation problem in distribution networks with high penetration of PV systems by using customer-side energy storage systems. The distribution network operator (DNO) is allowed to control the output of the energy storage systems of customers during a specific time period in exchange for a subsidy covering a portion of the initial cost of the storage system. The cost effectiveness of the cooperative operation for both customer and DNO is discussed by numerical simulations based on minute-by-minute solar irradiation data. Our results have clarified the possibilities of making voltage management more economical in distribution networks.

Customer-Side SCADA-Assisted Large Battery Operation Optimization for Distribution Feeder Peak Load Shaving

“…First, there are papers that are solely based on simulations, as opposed to on real-world data and experiments as in this paper. They address different goals for energy storage operation, such as peak load shaving [9]- [11] or voltage control [12]. Among them, only [10] is related to customer-side energy storage operation, where the focus is on plug-in electric vehicles.…”

“…Given the conditional distribution of the feeder load in the remaining decision horizon the optimization in (12) can now be solved in a way similar to Section III-A1.…”

“…The conditional distributions in (12), are approximated by modifying the ARMA model in (4) for the remaining horizon, so as to include only those prior days with similar load profiles to those observationsl −κ in the previous time slots. We use the cross-correlation as a measure of similarity between the above time series [23].…”

“…The constraints in (12) are the same as those described in Section III-A2; only here they are applied on the remaining time slots of the decision horizon. The initial SoC for the optimization at time slot κ is C[κ−1], which was fixed at the optimization step during the previous time slot.…”

Application of PV Inverter on distribution system with high penetration of PV

“…The purpose of this paper is to analyze effects of reactive power on voltage reduction through adjusting the reactive power using advanced PV inverter's control method [6,7]. To analyze this effects on distribution system, the test system with six buses which are connected as radial is suggested.…”