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Advances in Economic and Resilient Operations of Electrical Power Systems
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Advances in Economic and Resilient Operations of Electrical Power Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".

Deadline for manuscript submissions: closed (31 July 2023) | Viewed by 4048

Special Issue Editors

Dr. Qiwei Zhang

E-Mail Website
Guest Editor
Enliten Lab, EECS Department at University of Tennessee, Knoxville, 1520 Middle Dr. Knoxville, TN 37996, USA
Interests: power market operations; power system cybersecurity; optimization for power system operations
Dr. Jin Zhao

E-Mail Website
Guest Editor
Alexander von Humboldt Foundation, TU Dortmund, Dortmund, Germany
Interests: power system resilience; power system optimal operation; resilient micro-grids; machine-learning
Dr. Gen Li

E-Mail Website
Guest Editor
Technical University of Denmark, Lautrupvang 15, 2750 Ballerup, Denmark
Interests: HVDC and MVDC technologies; DC protection and control; Offshore wind; Offshore Energy Islands
Special Issues, Collections and Topics in MDPI journals
Dr. Mingshen Wang

E-Mail Website
Guest Editor
State Grid Jiangsu Electric Power Research Institute, Nanjing, China
Interests: demand response; electric vehicle integration; electricity market
Dr. Lele Ma

E-Mail Website
Guest Editor
School of Control and Computer Engineering, North China Electric Power University, Beijing, China
Interests: Power generation control; Energy modeling and prediction; Energy planning and energy management

Special Issue Information

Dear Colleagues,

The rapid transition from fossil fuel-fired generations to sustainable energy has resulted in a power system operation that is increasingly complex, interconnected, and uncertain. A sustainable energy future calls for decision-making informed by the most advanced research and technologies in power markets and power grid resilience. This Special Issue aims to present the most recent advance in economic and resilient power system operations, including theoretical foundation, modeling, optimization, and application of emerging computational techniques.

Topics of interest for publication include, but are not limited to:

  • Power market operation, locational marginal price, and unit commitment and economic dispatch of power/multi-energy systems.
  • Power grid resilience, including extreme weather and cybersecurity.
  • Optimal electric vehicle integration in the smart grid.
  • Power system planning and energy management.
  • Novel optimization techniques for power system operations.
  • Application of cutting-edge artificial intelligence techniques.
  • Secure operation and control of 100% power electronics based power systems.

Dr. Qiwei Zhang
Dr. Jin Zhao
Dr. Gen Li
Dr. Mingshen Wang
Dr. Lele Ma
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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

  • power market
  • power grid resilience
  • economic dispatch
  • unit commitment
  • locational marginal price
  • artificial intelligence

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

15 pages, 6393 KiB  
Article
Two-Layer Robust Distributed Predictive Control for Load Frequency Control of a Power System under Wind Power Fluctuation
by Ce Wang, Xiangjie Liu and Kwang Y. Lee
Energies 2023, 16(12), 4714; https://doi.org/10.3390/en16124714 - 14 Jun 2023
Cited by 2 | Viewed by 1351
Abstract
The frequency stability of interconnected power systems becomes quite challenging when incorporating renewable energy sources (mostly wind power). Distributed model predictive control (DMPC) is an effective method to maintain stable grid frequency and realize power system load frequency control (LFC). This paper proposes [...] Read more.
The frequency stability of interconnected power systems becomes quite challenging when incorporating renewable energy sources (mostly wind power). Distributed model predictive control (DMPC) is an effective method to maintain stable grid frequency and realize power system load frequency control (LFC). This paper proposes a two-layer robust DMPC for the LFC of an interconnected power system. In the scheme, the wind power penetrating the power grid is largely affected by the environment condition, and it is taken as an uncertain disturbance to the power system. The two-layer robust DMPC consists of a nominal DMPC controller and an ancillary DMPC controller. The nominal DMPCs coordinate with each other in achieving the systemwide LFC objective, where the systemwide objective is a strict convex combination of the local LFC objectives. The nominal optimization problems are solved supposing the wind power fluctuation is zero. The ancillary DMPC generates the actual control signal for each generation unit based on signals which are transmitted from the nominal DMPC controller. The simulation on a four-area interconnected power system demonstrates the effectiveness of the proposed algorithm in alleviating the frequency deviation caused by varying the load and uncertain wind power fluctuation. Full article
(This article belongs to the Special Issue Advances in Economic and Resilient Operations of Electrical Power Systems)
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19 pages, 2377 KiB  
Article
Low Carbon Economic Dispatch of Integrated Energy System Considering Power-to-Gas Heat Recovery and Carbon Capture
by Wenjin Chen, Jun Zhang, Feng Li, Ruoyi Zhang, Sennan Qi, Guoqing Li and Chong Wang
Energies 2023, 16(8), 3472; https://doi.org/10.3390/en16083472 - 15 Apr 2023
Cited by 7 | Viewed by 2074
Abstract
Carbon capture and storage (CCS) is an effective means to achieve the goals of carbon peaking and carbon neutrality. To improve the operating economics and low-carbon emission of an integrated energy system, the strong exothermic property of power-to-gas is utilized for heat recovery [...] Read more.
Carbon capture and storage (CCS) is an effective means to achieve the goals of carbon peaking and carbon neutrality. To improve the operating economics and low-carbon emission of an integrated energy system, the strong exothermic property of power-to-gas is utilized for heat recovery and injection into the heat network. This expands the adjustable range of electric output of combined heat and power (CHP) units which will improve wind power accommodation. The CO2 produced by the coal-fired unit is captured using post-combustion carbon capture technology, and then stored and used to manufacture methane, in order to realize the electric–gas–heat integrated energy system coupled with power-to-gas. Based on the ladder-type carbon trading mechanism, a low-carbon economic dispatch model of integrated energy system is proposed, which considers the incorporation of power-to-gas heat recovery and carbon capture and storage. The objective function is to minimize the total operation cost of the system. The model is simulated in the revised IEEE 39-bus power network, Belgium 20-node gas network and 6-node heat network by CPLEX solver and simulation results verify the effectiveness of the proposed model. Full article
(This article belongs to the Special Issue Advances in Economic and Resilient Operations of Electrical Power Systems)
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