An exact relaxation of AC-OPF problem for battery-integrated power grids

TL;DR

This paper introduces a convex iterative optimization method for accurately and efficiently managing Battery Energy Storage Systems in active distribution networks, ensuring cost minimization while respecting technical constraints.

Contribution

It presents a novel exact relaxation of the AC-OPF problem tailored for battery-integrated power grids, incorporating BESS characteristics into a convex optimization framework.

Findings

The approach guarantees feasibility and optimality under security constraints.

It outperforms existing methods in a 32-bus IEEE test case.

The method effectively manages BESSs for cost-efficient grid operation.

Abstract

Renewable energy resources and power electronics-interfaced loads introduce fast dynamics in distribution networks. These dynamics cannot be regulated by slow conventional solutions and require fast controllable energy resources such as Battery Energy Storage Systems (BESSs). To compensate for the high costs associated to BESSs, their energy and power management should be optimized. In this paper, a convex iterative optimization approach is developed to find the optimal active and reactive power setpoints of BESSs in active distribution networks. The objective is to minimize the total cost of energy purchase from the grid. Round-trip and life-time characteristics of BESSs are modelled accurately and integrated into a relaxed and exact formulation of the AC power flow, resulting into a Modified Augmented Relaxed Optimal Power Flow (MAROP) problem. The feasibility and optimality of the solution under the grid security limits and technical constraints of BESSs is proven analytically. A 32-bus IEEE test benchmark is used to illustrate the performance of the developed approach in comparison to the alternative approaches existing in the literature.