Model Predictive Control of Renewable Energy Sources in DC Microgrid for Power Flow Control

Q2 Energy

International Journal on Energy Conversion Pub Date : 2021-07-31 DOI:10.15866/irecon.v9i4.20152

Apoorva Srivastava, R. S. Bajpai

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引用次数: 1

Abstract

This paper aims to integrate and control renewable energy sources for power management and operation of a standalone hybrid DC microgrid. The system consists of photovoltaic arrays, wind turbine and fuel cells with storage batteries as backup. It proposes a Model Predictive Control (MPC) scheme that accurately tracks the desired load current and output voltage for relative power sharing among multiple distributed sustainable energy resources. Sustainable energy sources are controlled to deliver maximum power using DC-DC boost converters. MPPT control strategy is designed based on model predictive control, which evaluates the suitable power references at each sampling time with optimal cost function, in order to achieve desired results under varying conditions of renewable energy sources. Commonly used Incremental Conductance algorithm is used as a base framework along with MPC to design MPPT controller. For power flow control, MPC controller with discrete time Kalman ﬁlter has been designed for modifying voltage and current references depending upon the input/output power variations from sources and loads respectively. The proposed MPC scheme has fast tracking response that can achieve the optimal power management between the Distributed Energy Resources (DERs) units, and loads connected to DC microgrid. The results are validated using MATLAB/SIMULINK simulation and experimental studies.

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面向潮流控制的直流微电网可再生能源模型预测控制

本文旨在集成和控制可再生能源，用于独立混合直流微电网的电力管理和运行。该系统由光伏阵列、风力涡轮机和燃料电池组成，并配有备用蓄电池。它提出了一种模型预测控制（MPC）方案，该方案准确跟踪多个分布式可持续能源之间的相对功率共享所需的负载电流和输出电压。使用DC-DC升压转换器控制可持续能源以提供最大功率。MPPT控制策略是基于模型预测控制设计的，该控制策略利用最优成本函数在每个采样时间评估合适的功率参考，以在可再生能源的不同条件下获得期望的结果。常用的增量电导算法与MPC一起作为设计MPPT控制器的基本框架。对于潮流控制，设计了带有离散时间卡尔曼滤波器的MPC控制器，用于根据电源和负载的输入/输出功率变化分别修改电压和电流参考。所提出的MPC方案具有快速跟踪响应，可以在分布式能源（DER）单元和连接到直流微电网的负载之间实现最佳功率管理。利用MATLAB/SIMULINK仿真和实验研究对结果进行了验证。

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来源期刊

International Journal on Energy Conversion Energy-Nuclear Energy and Engineering

CiteScore

3.30

自引率

0.00%

发文量

期刊介绍： The International Journal on Energy Conversion (IRECON) is a peer-reviewed journal that publishes original theoretical and applied papers on all aspects regarding energy conversion. It is intended to be a cross disciplinary and internationally journal aimed at disseminating results of research on energy conversion. The topics to be covered include but are not limited to: generation of electrical energy for general industrial, commercial, public, and domestic consumption and electromechanical energy conversion for the use of electrical energy, renewable energy conversion, thermoelectricity, thermionic, photoelectric, thermal-photovoltaic, magneto-hydrodynamic, chemical, Brayton, Diesel, Rankine and combined cycles, and Stirling engines, hydrogen and other advanced fuel cells, all sources forms and storage and uses and all conversion phenomena of energy, static or dynamic conversion systems and processes and energy storage (for example solar, nuclear, fossil, geothermal, wind, hydro, and biomass, process heat, electrolysis, heating and cooling, electrical, mechanical and thermal storage units), energy efficiency and management, sustainable energy, heat pipes and capillary pumped loops, thermal management of spacecraft, space and terrestrial power systems, hydrogen production and storage, nuclear power, single and combined cycles, miniaturized energy conversion and power systems, fuel cells and advanced batteries, industrial, civil, automotive, airspace and naval applications on energy conversion. The Editorial policy is to maintain a reasonable balance between papers regarding different research areas so that the Journal will be useful to all interested scientific groups.