energies-logo

Journal Browser

Journal Browser

Development Trend Analysis of Power Distribution Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F2: Distributed Energy System".

Deadline for manuscript submissions: closed (15 August 2023) | Viewed by 3669

Special Issue Editors

School of Electrical Engineering, Shandong University, Jinan 250061, China
Interests: active distribution systems and distributed energy resources; low voltage direct current system; power devices manufacture; AI application; digital twin

E-Mail Website
Guest Editor
School of Electrical Engineering, Shandong University, Jinan 250061, China
Interests: wind turbine and wind farm control; wind power grid connection; energy storage; system application; large-scale wind power system analysis

E-Mail Website
Guest Editor
Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, School of Electrical Engineering, Shandong University, Jinan 250061, China
Interests: fault analysis and identification of smart distribution networks; protection of active distribution networks; power transformer condition assessment; optimal dispatch of integrated energy system
Special Issues, Collections and Topics in MDPI journals
School of Electrical Engineering, Shandong University, Jinan 250061, China
Interests: renewable energy integration; the application of HVDC and MVDC in the urban power grid; cyber security in voltage source-based converter control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The formation of a sustainable energy system using digital and intelligent technology has become a global consensus and goal. On the one hand, in the last decade, the ambition of most countries to achieve a reduction in greenhouse gas emissions has remarkably increased the likelihood of achieving the generation of renewable energy. Owing to the fact that most renewable energy sources are connected to power distribution systems via a grid-connected converter, the increase in renewable energy in power distribution systems allows for their flexible control, while challenging the operation of the power distribution systems. In addition, as a new participator, renewable energy changes the traditional dispatching code. The system operator must keep the necessary coordination between the renewable energy and load in order to realize a real-time power balance, and to keep the power distribution system operating in a security range.

On the other hand, the development of power electronics technologies has brought many novel applications, such as data centers, electric vehicles (EVs), and distributed energy storage, changing the traditional load mix in the power distribution system dominated by AC devices. In addition, the aggregator, which is integrated with source, consumer, energy storage, and flexible loads, shows up in power distribution systems. The existence of the aggregator in power distribution systems has also changed the operation mode of the electric market, pushing the system operator to determine appropriate adjustments to their operation mode.

In general, the various sources and loads in power distribution systems have shown the characteristics of nonlinearity and randomness, and strong coupling in power distribution systems is becoming increasingly more obvious. The traditional distribution network, power supply, and consumption mode are facing great challenges and unprecedented opportunities, such as the subversion and reconstruction of system topology, the cage replacement of hardware facilities, the upgrading of software control, and the transformation and upgrading of enterprises and industries. Power distribution systems must adopt novel technologies to effectively upgrade in order to meet the new operating requirements concerning high proportional renewable energy and flexible load integration.

This Special Issue aims to draw attention to research and review articles regarding the developmental trend analysis of power distribution systems, focusing on promoting theoretical and practical studies in the control and operation of power distribution systems and providing a convincing analysis of distribution system developments. The topics of interest include, but are not limited to, the following:

1) Low-voltage direct current supply and utilization system and MVDC application in power distribution systems;

2) The power quality analysis and model for power distribution systems;

3) Power electronic device applications in power distribution systems;

4) Active distribution systems and distributed energy resources;

5) Demand-side response in power distribution systems;

6) Renewable energies and energy storage coordination operation in power distribution systems;

7) Electric market optimization and models in power distribution systems;

8) The application of AI, machine learning, etc., in power distribution systems;

9) Prospect and analysis of power distribution system developments.

Dr. Zhao Ma
Dr. Haoran Zhao
Dr. Yongliang Liang
Dr. Kaiqi Sun
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

  • active distribution systems and renewable energy resources (ADSs and DERs)
  • demand-side response
  • MVDC and LVDC system
  • energy storage system application
  • AI application and digital twin
  • aggregator

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

28 pages, 3060 KiB  
Article
Bilevel Optimal Economic Dispatch of CNG Main Station Considering Demand Response
by Yongliang Liang, Zhiqi Li, Yuchuan Li, Shuwen Leng, Hongmei Cao and Kejun Li
Energies 2023, 16(7), 3080; https://doi.org/10.3390/en16073080 - 28 Mar 2023
Cited by 1 | Viewed by 1209
Abstract
Compressed natural gas (CNG) main stations are critical components of the urban energy infrastructure for CNG distribution. Due to its high electrification and significant power consumption, researching the economic operation of the CNG main station in demand response (DR)-based electricity pricing environments is [...] Read more.
Compressed natural gas (CNG) main stations are critical components of the urban energy infrastructure for CNG distribution. Due to its high electrification and significant power consumption, researching the economic operation of the CNG main station in demand response (DR)-based electricity pricing environments is crucial. In this paper, the dehydration process is considered in the CNG main station energy consumption model to enhance its participation in DR. A bilevel economic dispatch model for the CNG main station is proposed, considering critical peak pricing. The upper-level and lower-level models represent the energy cost minimization problems of the pre-system and rear-system, respectively, with safety operation constraints. The bilevel programming model is solved using a genetic algorithm combined with a bilevel programming method, which has better efficiency and convergence. The proposed optimization scheme has better control performance and stability, reduces the daily electricity cost by approximately 21.04%, and decreases the compressor switching frequency by 50.00% without changing the CNG filling demand, thus significantly extending the compressor’s service life. Moreover, the average comprehensive power cost of processing one unit of CNG reduces 20.62%. Full article
(This article belongs to the Special Issue Development Trend Analysis of Power Distribution Systems)
Show Figures

Figure 1

25 pages, 16575 KiB  
Article
Financial Hazard Prediction Due to Power Outages Associated with Severe Weather-Related Natural Disaster Categories
by Rafal Ali, Ikramullah Khosa, Ammar Armghan, Jehangir Arshad, Sajjad Rabbani, Naif Alsharabi and Habib Hamam
Energies 2022, 15(24), 9292; https://doi.org/10.3390/en15249292 - 7 Dec 2022
Cited by 4 | Viewed by 1930
Abstract
Severe weather conditions not only damage electric power infrastructure, and energy systems, but also affect millions of users, including residential, commercial or industrial consumers. Moreover, power outages due to weather-related natural disasters have been causing financial losses worth billions of US dollars. In [...] Read more.
Severe weather conditions not only damage electric power infrastructure, and energy systems, but also affect millions of users, including residential, commercial or industrial consumers. Moreover, power outages due to weather-related natural disasters have been causing financial losses worth billions of US dollars. In this paper, we analyze the impact of power outages on the revenue of electric power suppliers, particularly due to the top five weather-related natural disasters. For this purpose, reliable and publicly available power outage events data are considered. The data provide the time of the outage event, the geographic region, electricity consumption and tariffs, social and economic indicators, climatological annotation, consumer category distribution, population and land area, and so forth. An exploratory analysis is carried out to reveal the impact of weather-related disasters and the associated electric power revenue risk. The top five catastrophic weather-related natural disaster categories are investigated individually to predict the related revenue loss. The most influencing parameters contributing to efficient prediction are identified and their partial dependence on revenue loss is illustrated. It was found that the electric power revenue associated with weather-related natural disasters is a function of several parameters, including outage duration, number of customers, tariffs and economic indicators. The findings of this research will help electric power suppliers estimate revenue risk, as well as authorities to make risk-informed decisions regarding the energy infrastructure and systems planning. Full article
(This article belongs to the Special Issue Development Trend Analysis of Power Distribution Systems)
Show Figures

Figure 1

Back to TopTop