Multiperiod Optimum Power Flow for Optimization of an Active Distribution Network with Battery Energy Storage Systems

HIGHLIGHTS

• Optimization of distribution grid operation with distributed energy resources.

• Modeling and simulation of an Optimum Power Flow solved with Interior Points Method implemented in Python language.

• Robustness even with the implementation in a 90 bus test distribution feeder with multiple distributed energy resources simultaneously.

Abstract

Distribution power grids are continuously changing, mainly due to the insertion of distributed energy resources. Since the late 90's the distribution generation insertion has been growing, changing the planning and operation of the conventional grid. More recently, storage systems are also being placed on the distribution power system, aiming to improve system power quality and reliability. In this context of active grids, an Optimum Power Flow (OPF) was proposed, integrating generation from distributed generation with photovoltaic systems as well as a battery energy storage, which could be located at different feeder busses, including the substation bus. The OPF was modeled in a multiperiod structure, allowing simultaneous evaluation of all steps within the time horizon, being solved with the interior points method implemented in python. Different scenarios were evaluated considering different distributed generation levels, as well as battery placement at the substation bus and in the middle of the grid. From the multiperiod OPF results, it is obtained the minimization of losses and operational costs of the system, besides the minimum battery cost and the optimum behavior of charge and discharge of the battery.

Keywords:
Active Distribution Network; Distributed Energy Resource; Optimum Power Flow; Battery Energy Storage Systems