Model Predictive Control for Distributed Microgrid Battery Energy Storage Systems
TL;DR: It is shown that the proposed control strategy approaches the performance of a strategy based on nonconvex optimization, while reducing the required computation time by a factor of 1000, making it suitable for a real-time MPC implementation.
read more
Abstract: This paper proposes a new convex model predictive control strategy for dynamic optimal power flow between battery energy storage systems distributed in an AC microgrid. The proposed control strategy uses a new problem formulation, based on a linear d-q reference frame voltage-current model and linearised power flow approximations. This allows the optimal power flows to be solved as a convex optimisation problem, for which fast and robust solvers exist. The proposed method does not assume real and reactive power flows are decoupled, allowing line losses, voltage constraints and converter current constraints to be addressed. In addition, non-linear variations in the charge and discharge efficiencies of lithium ion batteries are analysed and included in the control strategy. Real-time digital simulations were carried out for an islanded microgrid based on the IEEE 13 bus prototypical feeder, with distributed battery energy storage systems and intermittent photovoltaic generation. It is shown that the proposed control strategy approaches the performance of a strategy based on non-convex optimisation, while reducing the required computation time by a factor of 1000, making it suitable for a real-time model predictive control implementation.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Figures
Citations
System Design and Power Flow of Stationary Energy Storage Systems
Michaela Bauer
- 01 Sep 2019
TL;DR: In this article, the authors examined the use of automotive batteries in the stationary field and compared three system topologies, which consist of the combination of BMW i3 batteries, DC/DC converters, and DC/AC inverters.
22
The Energy Management System Based on Model Predictive Control for Microgrid
TL;DR: By coordinating the active and reactive power output of each schedulable unit in the microgrid, the operation cost of the micro grid is reduced and the voltage self-regulation capability is enhanced.
Inclusão da Gravitricidade como Sistema de Armazenamento de Energia na Formulação de um Controlador Central de Microrredes baseado em CPBM
José Diogo Forte de Oliveira Luna,Beatriz Cristina Reis Cordeiro,Gustavo Catusso Balbinot,Paulo R.C. Mendes,Julio E. Normey-Rico +4 more
- 08 Dec 2020
TL;DR: In this paper, a formulacao necessaria for including a SAE baseado em energia gravitacional por massa suspensa in a controladores Preditivos baseado in Modelo (CPBM) is presented.
References
YALMIP : a toolbox for modeling and optimization in MATLAB
Johan Löfberg
- 02 Sep 2004
TL;DR: Free MATLAB toolbox YALMIP is introduced, developed initially to model SDPs and solve these by interfacing eternal solvers by making development of optimization problems in general, and control oriented SDP problems in particular, extremely simple.
9.5K
Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays
TL;DR: In this article, the authors proposed a method of modeling and simulation of photovoltaic arrays by adjusting the curve at three points: open circuit, maximum power, and short circuit.
4.4K
Modeling, Analysis and Testing of Autonomous Operation of an Inverter-Based Microgrid
TL;DR: In this paper, the authors developed a model for autonomous operation of inverter-based micro-grids, where each sub-module is modeled in state-space form and all are combined together on a common reference frame.
3K
Accurate electrical battery model capable of predicting runtime and I-V performance
Min Chen,Gabriel A. Rincon-Mora +1 more
TL;DR: An accurate, intuitive, and comprehensive electrical battery model is proposed and implemented in a Cadence environment that accounts for all dynamic characteristics of the battery, from nonlinear open-circuit voltage, current-, temperature-, cycle number-, and storage time-dependent capacity to transient response.
2.1K
A review of selected optimal power flow literature to 1993. I. Nonlinear and quadratic programming approaches
TL;DR: In this paper, a review of literature on optimal power flow tracing progress in this area over from 1962-93 is presented. Part I deals with the application of nonlinear and quadratic programming.
935