Research on Mixed Logic Dynamic Modeling and Finite Control Set Model Predictive Control of Multi-Inverter Parallel System

نویسندگان

چکیده

Parallel connection of multiple inverters is an important means to solve the expansion, reserve and protection distributed power generation, such as photovoltaics. In view shortcomings traditional droop control methods weak anti-interference ability, low tracking accuracy inverter output voltage serious circulation phenomenon, a finite set model predictive (FCS-MPC) strategy microgrid multi-inverter parallel system based on Mixed Logical Dynamical (MLD) modeling proposed. Firstly, MLD method introduced logical variables, combining discrete events continuous form overall differential equation, which makes more accurate. Then controller designed model, constraints are added objective function, can not only real-time changes by online optimization, but also effectively obtain higher lower total harmonic distortion rate (Total Harmonics Distortion, THD); suppress circulating current between inverters, good dynamic response. Finally, simulation carried out MATLAB/Simulink verify correctness rationality proposed strategy. This paper aims provide guidance for design optimal systems.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Finite Control Set Model Predictive Control in Power Converters

This study presents a detailed description of a cost function-based predictive control strategy called Finite Control Set Model Predictive Control (FCS-MPC) and its applications to the control of power electronics converters. The basic concepts, operating principles and general properties of this control technique have been explained. The analysis is performed on two different power converter t...

متن کامل

Model Predictive Control of Distributed Energy Resources with Predictive Set-Points for Grid-Connected Operation

This paper proposes an MPC - based (model predictive control) scheme to control active and reactive powers of DERs (distributed energy resources) in a grid - connected mode (either through a bus with its associated loads as a PCC (point of common coupling) or an MG (micro - grid)). DER may be a DG (distributed generation) or an ESS (energy storage system). In the proposed scheme, the set - poin...

متن کامل

A Grid Connected Transformerless Inverter and its Model Predictive Control Strategy with Leakage Current Elimination Capability

This paper proposes a new single phase transformerless Photovoltaic (PV) inverter for grid connected systems. It consists of six power switches, two diodes, one capacitor and filter at the output stage. The neutral of the grid is directly connected to the negative terminal of the source. This results in constant common mode voltage and zero leakage current. Model Predictive Controller (MPC) tec...

متن کامل

Dynamic Model Predictive Control

In this paper an alternative approach to model predictive control is presented. In traditional MPC a finite horizon open loop optimal control problem is solved in each sampling instance. When uncertainties such as computational delays are present, one can encounter problems. We propose to parametrize the control sequence in each sampling instant in terms of a linear feedback controller, i.e. in...

متن کامل

Scaling, Modeling and Traffic Control of a Real Railway Network using Max-plus Algebra and Model Predictive Control

Delay time recovery can increase the efficiency of the railway network and increase the attractiveness of railway transport against other transportation systems. This article presents a new dynamical model of railway system. The proposed model is a discrete event systems that is defined based on the deviation of travel time and deviation of stop time of trains. Due to the existence of multiple ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Energy Engineering

سال: 2023

ISSN: ['0199-8595', '1546-0118']

DOI: https://doi.org/10.32604/ee.2023.025065