Design and Control of Smart Renewable Energy Systems

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: closed (15 September 2024) | Viewed by 2633

Special Issue Editors


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Guest Editor
Colorado School of Mines, Golden, CO 80401, USA
Interests: power system modeling and simulation; application of advanced computing; machine learning technologies in power systems
College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Interests: power system economy and market; active distribution network and microgrid; power information physical system

Special Issue Information

Dear Colleagues,

The development of next-generation smart grids, especially smart renewable energy systems, is key in achieving carbon neutrality. The progress of artificial intelligence (AI) technologies and other modern control methods has enabled the transition towards new kinds of smart renewable energy system design. On the other hand, the appropriate design and intelligent control of renewable energy systems can help us to extract high-value system operation data and guide the new paradigm of decision-making processes. This Special Issue is dedicated to research related to new kinds of design and control methods for general energy systems with renewable energy resources, AI-based control strategies, efficient optimization and control methods for system operation, renewable energy system infrastructure and data-driven smart decision-making methods.

General topics covered in this Special Issue include, but are not limited to, the following:

  • Next-generation renewable energy system design;
  • Control and energy management strategies;
  • Uncertainty modeling of renewable energy systems;
  • AI-based decision-making methods;
  • Data analytics in renewable energy generation and consumption;
  • Electrified transportation and renewable energy systems;
  • Grid-interactive buildings with distributed renewable resources;
  • Efficient optimization and control method for renewable energy systems;
  • New equipment and devices for renewable energy resources;
  • Policy and market mechanisms for renewable energy systems.

Dr. Tao Chen
Dr. Qiuhua Huang
Dr. Yingjun Wu
Guest Editors

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Published Papers (2 papers)

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Research

16 pages, 9721 KiB  
Article
Disturbance-Rejection Passivity-Based Control for Inverters of Micropower Sources
by Chao Luo, Liang Tu, Haiqing Cai, Haohan Gu, Jiawei Chen, Guangyu Jia and Xinke Zhu
Electronics 2024, 13(14), 2851; https://doi.org/10.3390/electronics13142851 - 19 Jul 2024
Viewed by 551
Abstract
Inverters are important interfaces between micropower sources and consuming loads. However, the varying inductors and capacitors, modeling errors, measurement errors, and external disturbances would lead to degradation of the inverters’ performances when conventional linear control is adopted, causing instability problems. To address it, [...] Read more.
Inverters are important interfaces between micropower sources and consuming loads. However, the varying inductors and capacitors, modeling errors, measurement errors, and external disturbances would lead to degradation of the inverters’ performances when conventional linear control is adopted, causing instability problems. To address it, a disturbance-rejection passivity-based nonlinear control strategy is proposed for the inverters of micropower sources. The proposed method innovatively introduces an extended high-gain state observer into the passivity-based controller to achieve online observation and elimination of complex influencing factors such as external disturbances, time-varying parameter uncertainties, and modeling errors, thus ensuring the global stability of the inverter under various disturbances. The design details on the passivity-based controller and the extended high-gain state observer are elaborated. The effectiveness and feasibility of the proposed control strategy are verified by the experiments performed by a 15 kVA inverter designed in the lab. The results show that the proposed control is able to ensure the inverter’s stable operation under the following conditions: constant power load, the filter inductance and capacitance reduce up to 33% and 96%, and the input voltage varies more than 22%. Full article
(This article belongs to the Special Issue Design and Control of Smart Renewable Energy Systems)
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30 pages, 3819 KiB  
Article
Energy Management in a Super-Tanker Powered by Solar, Wind, Hydrogen and Boil-Off Gas for Saving CO2 Emissions
by Michael E. Stamatakis, Erofili E. Stamataki, Anastasios P. Stamelos and Maria G. Ioannides
Electronics 2024, 13(8), 1567; https://doi.org/10.3390/electronics13081567 - 19 Apr 2024
Viewed by 1179
Abstract
In terms of energy generation and consumption, ships are autonomous isolated systems, with power demands varying according to the type of ship: passenger or commercial. The power supply in modern ships is based on thermal engines-generators, which use fossil fuels, marine diesel oil [...] Read more.
In terms of energy generation and consumption, ships are autonomous isolated systems, with power demands varying according to the type of ship: passenger or commercial. The power supply in modern ships is based on thermal engines-generators, which use fossil fuels, marine diesel oil (MDO) and liquefied natural gas (LNG). The continuous operation of thermal engines on ships during cruises results in increased emissions of polluting gases, mainly CO/CO2. The combination of renewable energy sources (REs) and triple-fuel diesel engines (TFDEs) can reduce CO/CO2 emissions, resulting in a “greener” interaction between ships and the ecosystem. This work presents a new control method for balancing the power generation and the load demands of a ship equipped with TFDEs, fuel cells (FCs), and REs, based on a real and accurate model of a super-tanker and simulation of its operation in real cruise conditions. The new TFDE technology engines are capable of using different fuels (marine diesel oil, heavy fuel oil and liquified natural gas), producing the power required for ship operation, as well as using compositions of other fuels based on diesel, aiming to reduce the polluting gases produced. The energy management system (EMS) of a ship is designed and implemented in the structure of a finite state machine (FSM), using the logical design of transitions from state to state. The results demonstrate that further reductions in fossil fuel consumption as well as CO2 emissions are possible if ship power generation is combined with FC units that consume hydrogen as fuel. The hydrogen is produced locally on the ship through electrolysis using the electric power generated by the on-board renewable energy sources (REs) using photovoltaic systems (PVs) and wind energy conversion turbines (WECs). Full article
(This article belongs to the Special Issue Design and Control of Smart Renewable Energy Systems)
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