دانلود مقاله کنترل پیش بینی مدل سلول U-Cell اینورتر بسته شده برای ریزشبکه
چکیده
1. مقدمه
2. اینورترهای PUC
3. ریزشبکه
4. کنترل تناسبی-انتگرال (PI) اینورترهای PUC
5. MPC اینورترهای PUC
6. نتایج شبیه سازی
7. اعتبارسنجی سخت افزار در حلقه (HIL).
8. نتیجه گیری
منابع
Abstract
1. Introduction
2. PUC inverters
3. Microgrid
4. proportional–integral (PI) control of PUC inverters
5. MPC of PUC inverters
6. Simulation results
7. Hardware-in-loop (HIL) validations
8. Conclusions
Declaration of competing interest
References
چکیده
در این مقاله، یک طرح کلی از ترتیبات ریزشبکه و روش‌های کنترل در سطوح مختلف سلسله مراتبی مبدل‌های سلول U-Cell (PUC) ارائه شده است. این مقاله کنترل این توپولوژی ها را با استفاده از تکنیک های مختلف مورد بحث قرار می دهد. هدف این استراتژی‌های کنترلی حفظ یک THD کوچک، حالت پایدار برتر، پاسخ دینامیکی سریع و ضریب توان بالا در حین متعادل کردن ولتاژ خازن در شرایط کاری مختلف است. کنترل کننده جریان PI بر اساس اینورترهای PUC پنج و هفت سطحی مدل سازی شده است. کنترل‌کننده‌های ولتاژ و جریان PI نیز بر روی یک اینورتر PUC هفت سطحی مدل‌سازی شده‌اند. پس از آن، مدل کنترل پیش بینی اینورترهای سطح پنج، هفت و پانزده نیز فرموله شده و سپس با استفاده از MATLAB/Simulink شبیه سازی می شود. در نهایت، اعتبارسنجی HIL اینورترهای مختلف PUC انجام می‌شود.
توجه! این متن ترجمه ماشینی بوده و توسط مترجمین ای ترجمه، ترجمه نشده است.
Abstract
In this paper, an outline of microgrid arrangements and control methods at various hierarchical levels of Packed U-Cell (PUC) converters are provided. The paper discusses the control of these topologies using various techniques. The goal of these control strategies is to maintain a small THD, superior steady-state, fast-dynamic response, and high-power factor while balancing capacitor voltages under different operating conditions. The PI current controller is modelled on five and seven-level PUC inverters. The PI voltage and current controllers have also been modelled on a seven-level PUC inverter. Thereafter, model predictive control of five, seven and fifteen level inverters are also formulated and then simulated using MATLAB/Simulink. Finally, HIL validation of different PUC inverters is performed.
Introduction
The electrical power generated from renewable energy resources (solar, wind and hydro, etc.) are either used for domestic purposes directly or they are supplied to the grid [1]. For example, the power generated by a solar plant is of dc nature which is first conditioned and then inverted to get an alternating output. This ac power is then synchronized with the grid according to the grid’s characteristics (frequency and phase angles) [2]. In each of the steps, there are many parameters to be controlled in an accurate manner so that power quality is maintained. For this purpose, the most suitable consideration is the multi-level family converters.
Due to improved power quality compared to their two-level counterparts in recent times, multilevel inverter (MLI) topology has become increasingly accepted in commercial applications. The reduced harmonic deformation, improved waveform like a sinusoidal waveform and enhanced use of switches due to diminished voltage stress. MLI have their uses in various fields of renewable energy sources including, HVDC, distributed generation (DG) system, application of industrial drive systems, uninterruptible power supplies, etc. [3], [4], [5], [6]. Based on a few semiconductor devices coupled with different dc links, MLIs generate sinusoidal waveforms at their outputs through staircase waveforms. MLI has traditionally been used in three major topologies in commercial applications within the last few decades: Cascade H-Bridge (CHB) inverters, Flying Capacitor (FC) inverters and Neutral Point Clamped (NPC) inverters. Each MLI topology, however, have some drawbacks, such as the increasing count of source necessities, the balancing of capacitor voltage, and the high necessity for switches counting in the CHB, FC, and NPC network topologies, respectively [3].
Conclusions
The main purpose of this work is to present that MPC can be a better alternative to the classical PI control when applying such control techniques on different PUC topologies. Although MPC is known for its limitations in terms of the steady-state error, MPC can be one of the greatest alternatives to the classical PI due to the simplicity of designing this control, the ability to achieve multiple objectives, and the high accuracy in transient conditions.
In this paper, MPC was successfully applied on five, seven and fifteen level PUC inverters and compared with PI control when applied on the same topologies. Although the converters’ voltages usually have higher THD when MPC is applied, the easy implementation of MPC and the capability to control more than one control variables are the some of the advantages which increase the chances of using MPC in such applications.
In this work, using MPC, the capacitor voltages of the different PUC inverters were well regulated to follow their reference values using a single controller. However, in order to achieve similar performance using the classical PI control, two control loops, voltage and current control loops, were required to be designed which significantly increase the complexity of this control.