Modeling, Operation and Control in Renewable Energy Systems

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".

Deadline for manuscript submissions: 20 May 2025 | Viewed by 1778

Special Issue Editors

School of Electrical Engineering, Southeast University, Nanjing 210096, China
Interests: integrated energy system; frequency regulation; electricity market; optimization; game theory
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Guest Editor
Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Interests: power system operation; distributed optimization; economic dispatch; machine learning
Special Issues, Collections and Topics in MDPI journals
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, China
Interests: powr system stability analysis; power system monitoring; FACTS modeling

Special Issue Information

Dear Colleagues,

As renewable energy technologies swiftly advance, the benefits of a renewable energy system that enhances energy efficiency and reduces carbon emissions are becoming increasingly apparent. This system encompasses various technologies, including combined heat and power generation, high-voltage technology, nuclear power engineering, fuel cells, photovoltaic, wind turbines, and diverse energy storage. Additionally, the cooperation between the power market and the carbon market stands out as an effective mechanism for promoting the application of new technologies. It assigns a monetary value to energy production and carbon emissions. These elements are all crucial for shaping the future of renewable energy systems.

This Special Issue on “Modeling, Operation and Control in Renewable Energy Systems” will curate novel advances in research that either use optimization and control theory as essential tools to design renewable energy systems or construct effective electricity markets and carbon markets for pricing energy and CO2. Topics include, but are not limited to, methods and applications in the following areas:

  1. Stability analysis and control in power system;
  2. Renewable integrated energy system;
  3. PV/wind turbine application technologies;
  4. Electricity/carbon markets;
  5. Carbon capture, utilization and storage;
  6. Fuel cell systems;
  7. High-voltage technologies.

Dr. Chenyu Wu
Dr. Zhongkai Yi
Dr. Chenhui Lin
Dr. Xi Chen
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • stability analysis and control in power system
  • renewable integrated energy system
  • PV/wind turbine application technologies
  • electricity/carbon markets
  • carbon capture, utilization and storage
  • fuel cell systems
  • high-voltage technologies

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Published Papers (2 papers)

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Research

29 pages, 14711 KiB  
Article
Structural Engineering of π-Linker Aromaticity in Anthanthrene-Based Dyes with D–π–A Configuration: DFT Investigation to Enhance Charge Transfer in DSSCs
by Nuha Wazzan
Processes 2025, 13(2), 418; https://doi.org/10.3390/pr13020418 - 5 Feb 2025
Viewed by 614
Abstract
The development of efficient dyes for photon harvesting in dye-sensitized solar cells (DSSCs) is a critical area of research with the potential to enhance renewable energy technologies. This manuscript presents a novel approach to engineering dye structures (abbreviated as D2 dye features, an [...] Read more.
The development of efficient dyes for photon harvesting in dye-sensitized solar cells (DSSCs) is a critical area of research with the potential to enhance renewable energy technologies. This manuscript presents a novel approach to engineering dye structures (abbreviated as D2 dye features, an anthanthrene core with a resonance energy of ER = 694 kJ/mol and a reported power conversion efficiency (η) of 5.27%) by systematically replacing an anthanthrene core with various aromatic cores, aiming to understand the influence of resonance energy on molecular performance. By designing seven new dyes with resonance energies ranging from 255 to 529 kJ/mol, we conducted in-depth computational studies using Density Functional Theory (DFT) and Time-Dependent Density Functional Theory (TDDFT) to explore the effects of π-aromatic linkers on their electronic properties. Our findings reveal key insights into intermolecular charge-transfer (ICT) mechanisms and how they relate to the resonance energy of dye cores, highlighting the significance of balanced charge mobilities in optimizing optoelectronic characteristics, as shown by the D9 dye with a naphthacene core. Full article
(This article belongs to the Special Issue Modeling, Operation and Control in Renewable Energy Systems)
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15 pages, 1994 KiB  
Article
Coordinated Dispatch of Power Generation and Spinning Reserve in Power Systems with High Renewable Penetration
by Bo Yuan, Jun Zhou, Gang Lu, Dazheng Liu, Peng Xia and Cong Wu
Processes 2024, 12(12), 2779; https://doi.org/10.3390/pr12122779 - 6 Dec 2024
Viewed by 723
Abstract
The spinning reserve demand in high renewable penetration power systems is increasing significantly due to the stochastic and unpredictable nature of renewable power. This paper defines the expected load not supplied ratio (ELNSR) and models uncertainty factors such as unit forced outage rates, [...] Read more.
The spinning reserve demand in high renewable penetration power systems is increasing significantly due to the stochastic and unpredictable nature of renewable power. This paper defines the expected load not supplied ratio (ELNSR) and models uncertainty factors such as unit forced outage rates, load and wind power output prediction errors based on probability density functions. It derives a quantitative relationship between system operating reserves and the ELNSR and uses this quantitative relationship as a constraint for power generation scheduling. Based on this, a coordinated generation and reserve scheduling model for power systems with large-scale wind power is established. Case study results demonstrate that the proposed model can balance both economy and reliability, coordinate the output allocation between wind power and thermal power, and provide an optimized allocation scheme for operating reserves among thermal power units to meet corresponding reliability requirements. Full article
(This article belongs to the Special Issue Modeling, Operation and Control in Renewable Energy Systems)
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