A micro-grid battery storage management

Abstract

An increase in number of distributed generation (DG) units in power system allows the possibility of setting-up and operating micro-grids. In addition to a number of technical advantages, micro-grid operation can also reduce running costs by optimally scheduling the generation and/or storage systems under its administration. This paper presents an optimized scheduling of a micro-grid battery storage system that takes into account the next-day forecasted load and generation profiles and spot electricity prices. Simulation results show that the battery system can be scheduled close to optimal even with forecast errors. ICLOCS software has been used for the numerical implementation.

Optimal Energy Management and Scheduling of a Microgrid in Grid-Connected and Islanded Modes

“…A Mixed Integer Linear Programming (MILP) model is presented in [9], to minimize the cost of the electricity bill by scheduling the battery energy in a non-residential building equipped with a PV and a battery system. The day-ahead scheduling of a microgrid battery storage system is optimized using linear programming in [10]- [11] while the forecasted load, PV generation and spot electricity prices are considered. Similarly, a dynamic programming method and a particle swarm optimization algorithm are presented in [12]- [13] for energy management in grid-connected microgrid with PV and battery storage.…”

Grid Friendly Operation of a PV-Storage System with Profit Maximization and Reliability Enhancement

“…There are several examples where optimization techniques have been designed for various configurations of ESS in order to maximize the profit. A linear programming model and a mixed-integer linear programming (MILP) model are presented in [6] and [7], in order to schedule the energy of the micro-grid batteries for the next day using forecasted input data. In [8], an optimization model for the operation of smart buildings in a microgrid is proposed, and aims to minimize the total electricity cost of the microgrid.…”

Day-ahead microgrid optimal self-scheduling: Comparison between three methods applied to isolated DC microgrid

“…Based on these predictions, in order to calculate the day-ahead optimal power self-scheduling, the problem formulation has to consider the instantaneous power balancing given by (5), as well as the minimization of the total energy cost given by (6).…”