Design and Control of Renewable Energy Systems in Smart Cities

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

Deadline for manuscript submissions: 15 July 2026 | Viewed by 17

Special Issue Editors


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Guest Editor
Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin 132012, China
Interests: wind power prediction; nonlinear control

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Guest Editor
School of Electrical Engineering, Shenyang University of Technology, Shenyang 110000, China
Interests: large-scale renewable energy power generation and its grid-connected technology; multi-energy microgrid and multi-energy system optimal operation and control technology
Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin 132012, China
Interests: integrated energy system optimal operation and control technology; configuration and planning of urban integrated energy system; low-carbon trading of new power system; inertia evaluation and optimization of multi-energy system

Special Issue Information

Dear Colleagues,

The global urgency to combat climate change, coupled with rapid urbanization, has positioned smart cities at the forefront of sustainable development. A cornerstone of this transformation is the transition from fossil fuel-based energy systems to those powered by renewable sources, such as solar, wind, geothermal, and biomass. However, the inherent intermittency and distributed nature of these resources present significant challenges to the stability, efficiency, and reliability of urban energy grids.

This Special Issue, entitled “Design and Control of Renewable Energy Systems in Smart Cities,” will compile high-quality research that addresses the critical challenges and opportunities at the intersection of renewable energy and smart urban environments. We will showcase the latest theoretical advancements, cutting-edge technological solutions, and compelling case studies that demonstrate how renewable energy systems can be effectively designed and intelligently controlled to power the cities of the future.

We invite the submission of original research articles and comprehensive review papers that explore, but are not limited to, the following topics:

(1) Large-scale renewable energy prediction and scheduling:

  • Multi-time scale rolling prediction for a high proportion of renewable energy;
  • Robust optimization and stochastic programming considering uncertainty;
  • Data-driven and physical model fusion prediction combined with numerical weather prediction;
  • Distributed and decentralized collaborative scheduling architecture.

(2) Advanced System Design and Integration:

  • Optimal sizing and planning of hybrid renewable energy systems for urban districts;
  • Design of building-integrated photovoltaics (BIPV) and other urban-friendly renewable technologies;
  • Architectures for multi-energy carrier systems (e.g., electricity, heat, hydrogen) in smart cities;
  • Life-cycle assessment and techno-economic analysis of renewable energy deployments.

(3) Intelligent Control and Optimization:

  • Advanced energy management systems (EMS) for smart buildings and microgrids;
  • AI, machine learning, and deep reinforcement learning for forecasting and control of renewable generation and load;
  • Model predictive control (MPC) and other optimization techniques for grid-interactive efficient buildings;
  • Distributed control strategies for coordinated operation of distributed energy resources (DERs).

(4) Grid Integration and Stability:

  • Strategies for mitigating the impacts of renewable intermittency on the urban grid;
  • Vehicle-to-Grid (V2G) and Grid-to-Vehicle (G2V) technologies for leveraging electric vehicles as mobile storage units;
  • Demand-side response (DSR) and flexibility aggregation to enhance grid reliability;
  • Power quality management and stability analysis in renewable-rich urban grids.

(5) Data-Driven and Cross-Disciplinary Approaches:

  • The role of big data, IoT sensors, and digital twins in urban energy system modeling and simulation;
  • Blockchain and peer-to-peer (P2P) energy trading platforms in local energy markets;
  • Socio-technical models and policy frameworks for encouraging renewable energy adoption in cities;
  • Resilience and reliability analysis of renewable-based energy systems against climate and cyber-physical threats.

(6) Research direction of environmental correlation analysis of urban renewable energy system;

  • Collaborative analysis of urban morphology and renewable energy potential;
  • Life-cycle environmental benefits and ecosystem services assessment;
  • Coupling analysis of urban energy-environment-health based on multi-source big data.

Prof. Dr. Mao Yang
Prof. Dr. Teng Yun
Dr. Peng Sun
Guest Editors

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Keywords

  • renewable energy integration
  • smart city
  • optimal control and design
  • artificial intelligence in energy systems
  • microgrid and distributed energy resources
  • forecasting and scheduling

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