Sustainable Power Systems and Optimization
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".
Deadline for manuscript submissions: closed (1 March 2023) | Viewed by 22294
Special Issue Editors
Interests: power system analysis; optimization theory and application; data-driven; uncertainty
Special Issues, Collections and Topics in MDPI journals
Interests: renewable energy; power electronics; wind power generation; intelligent control
Special Issues, Collections and Topics in MDPI journals
Interests: optimization for power system operation; small-signal stability; power system restoration; optimal power flow
Interests: power and energy system optimization; electricity markets; renewable energy; risk management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
To resolve global climate warming issues and promote sustainable development, the installed capacity of renewable energy in power systems has increased rapidly during the last two decades. Large numbers of renewable energy resources with intermittent characteristics, such as wind turbines, solar PVs, and electric vehicles, have been equipped on both the power generation and demand sides, bringing significant challenges to the optimal planning, operation, and control of sustainable power systems. To cope with the uncertainties in sustainable power systems, decision-makers need to utilize various flexible energy resources, such as battery storage, demand-response programs, and gas-fired generators. Additionally, the coordination of power and other energy resources, such as natural gas, heat, and hydrogen, also provide additional flexibility in power transmission and distribution systems.
The significant challenges of sustainable power system optimization are the complexities and uncertainties in both distribution and transmission levels. Under the deregulated power market environment, the power system optimization models need to consider intermittent renewable power productions and account for volatile electricity prices. As a result, it is necessary to investigate efficient optimization techniques for sustainable power systems considering parameter uncertainties and system properties, in order to maximize the economic benefits and minimize reliability concerns.
This Special Issue aims to report the latest advancements in sustainable power systems and optimization to solve its potential difficulties and challenges. Specifically, authors are encouraged to submit their research works in theoretical, methodological, or practical focuses, such as simulation models, algorithms, and applications concerning sustainable power systems and optimization.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Optimization techniques for sustainable power system planning, operation, and control.
- Optimization techniques for sustainable power system assisted by energy storage.
- Optimization techniques for sustainable power systems with other types of energy, such as gas, heat, and hydrogen.
- Demand-side management in sustainable power systems.
- Renewable energy trading in wholesale or retail electricity markets.
- Multi-objective optimization techniques for sustainable power systems.
- Distributed optimization techniques for sustainable power systems
- Local energy market mechanisms to accommodate distributed energy resources.
- Techniques for handling nonlinearities and non-convexities of sustainable power system problems.
- Heuristics algorithms for solving sustainable power system problems.
We look forward to receiving your contributions.
References
Chu S, Majumdar A. Opportunities and challenges for a sustainable energy future. Nature, 2012, 488(7411): 294-303.
Morales J M, Conejo A J, Madsen H, et al. Integrating renewables in electricity markets: operational problems. Springer Science & Business Media, 2013.
Wei, Z. Shen, D. Xiao, L. Wang, X. Bai, and H. Chen, An optimal scheduling strategy for peer-to-peer trading in interconnected microgrids based on RO and Nash bargaining, Applied Energy, 2021.Prof. Dr. Xiaoqing Bai
Dr. Chun Wei
Dr. Peijie Li
Dr. Dongliang Xiao
Guest Editors
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Keywords
- optimization techniques
- sustainable power systems
- renewable energy
- distributed energy resources
- demand-side management
- electricity markets
- energy storages
- multi-objective optimization
- heuristics algorithms
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