Research Progress on Economic Dispatch of Electric Power System
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".
Deadline for manuscript submissions: closed (30 October 2023) | Viewed by 1983
Special Issue Editors
Interests: economic dispatch of electric power system; intelligent optimization algorithm; robotics path planning; artificial intelligence; optimal control
Special Issues, Collections and Topics in MDPI journals
Interests: evolutionary computing; swarm intelligence optimization
Interests: economic dispatch of electric power system; evolutionary multi-objective optimization; robust optimization; model predictive control; dynamic optimization
Special Issue Information
Dear Colleagues,
The continuous expansion of the development scale of renewable energy power stations such as hydropower, wind power and photovoltaic energy production has promoted a diversified development process for the power supply structure of the power system. However, the uncertainty of natural conditions and the rapid development speed have led to serious problems in the absorption of water, wind and electricity in some regional power grids. How to coordinate the conflicts of interests among multiple interconnected power grids has become an urgent engineering optimization problem. Therefore, it is of great practical significance to carry out the research on optimal scheduling and decision-making methods of multi-source power systems and seek the best possible planning and scheduling scheme for optimizing the power structure and improving the absorption capacity of renewable energy.
The gradual increase in the scale of grid connection of renewable energy power stations such as water, wind and light has greatly reduced the contradiction between fossil energy consumption and environmental protection. On the other hand, due to the unbalanced development of the production and consumption of renewable power resources, and the rapid development of some regions, the waste of water, wind, light and other power resources occurs frequently. This involves the economic design of power systems, including how to reasonably dispatch power resources and how to effectively use new energy, which are also two issues that need further study in the development of green energy in the future.
At present, in the economic design of power system, many scholars have studied and paid attention to the power cost, power resources, power environment and the comprehensive utilization and dispatching of power products. In particular, in order to solve the two problems mentioned above, some swarm intelligence optimization algorithms, deep learning, and reinforcement learning methods have been proposed, optimized, and developed.
The topics to be discussed include the development of the new economic dispatching model of the power system, the research of the optimal scheduling algorithm for the utilization of new energy generation resources such as water, wind and light, as well as the intelligent mode of the power system network, and the analysis of the environmental benefits of the power system. In addition, it also includes the application of a swarm intelligence optimization algorithm, evolutionary algorithm and new artificial intelligence algorithm in the power system.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Research on economic dispatch algorithm of power system;
- Research on economic dispatch model and algorithm design of wind power system;
- Economic emission dispatching of power system;
- Dynamic economic dispatch of power system;
- Economic dispatch of cogeneration;
- Dynamic economic dispatch of cogeneration;
- Dynamic economic emission scheduling of cogeneration;
- Multi-objective economic dispatch of power system;
- Application of swarm intelligence optimization algorithm in power system;
- Application of artificial intelligence method in power system;
- Research on power flow optimization;
- Optimization of large-scale power network system.
We look forward to receiving your contributions.
References:
- Abdullahi Bala Kunya, Adamu Saidu Abubakar, Samuel Sunday Yusuf, Review of economic dispatch in multi-area power system: State-of-the-art and future prospective, Electric Power Systems Research, 2023, 217, https://doi.org/10.1016/j.epsr.2022.109089.
- Ravi Chaurasia, Sanjay Gairola, Yash Pal, Technical, economic, and environmental performance comparison analysis of a hybrid renewable energy system based on power dispatch strategies, Sustainable Energy Technologies and Assessments, 2022, 53, Part D, 102787, https://doi.org/10.1016/j.seta.2022.102787.
- Minghong Peng, Lian Liu, Chuanwen Jiang, A review on the economic dispatch and risk management of the large-scale plug-in electric vehicles (PHEVs)-penetrated power systems, Renewable and Sustainable Energy Reviews,2012, 16(3): 1508-1515, https://doi.org/10.1016/j.rser.2011.12.009.
- Ijaz Ahmed, Muhammad Rehan, Abdul Basit, Saddam Hussain Malik, Um-E-Habiba Alvi, Keum-Shik Hong, Multi-area economic emission dispatch for large-scale multi-fueled power plants contemplating inter-connected grid tie-lines power flow limitations, Energy, 2022, 261, Part B, 125178, https://doi.org/10.1016/j.energy.2022.125178.
Dr. Haibin Ouyang
Dr. Feng Zou
Dr. Fei Li
Dr. Juan Lu
Guest Editors
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Keywords
- power system economic dispatch algorithm
- economic emission dispatching of power system
- Multi-objective economic dispatch algorithm
- swarm intelligence algorithm, Multi-objective optimization
- large-scale optimization
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