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Sustainable Power System Planning and Analysis

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".

Deadline for manuscript submissions: closed (20 January 2024) | Viewed by 8030

Special Issue Editors


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Guest Editor
Department of Electrical and Electronic Engineering, Universidad de Los Andes, Bogotá, Colombia
Interests: energy economics; power system analysis and planning

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Guest Editor
Department of Engineering Sciences and Mathematics, Luleå University of Technology, Skellefteå, Sweden
Interests: integration of renewable energy and flexibility; power system analysis and planning

Special Issue Information

Dear Colleagues,

The primary objective of a power system is to safely provide reliable energy services to society at an affordable cost. Achieving this objective must be done according to a fast transformation from fossil to sustainable energy sources, new paradigms for transmission, distribution, and consumption. Existing power system analysis and planning methods are potentially compromised by the rapid transition occurring globally, characterized by the increasing penetration of variable renewable energy (VRE), inverter-based resources (IBR), and distributed energy resources (DER). New analysis and planning methods must also consider the flexibility of the electric power system—often defined as the ability to cope with variability and uncertainty.

This Special Issue is focused on new approaches for power system analysis and planning accounting for technical and economical challenges to the transition to a decarbonized and sustainable environment. Contributions to this Special Issue are expected to address the most relevant challenges of today’s power system operation and planning.

The main topics of interest for this Special Issue include but are not limited to:

  • Power system analysis approaches including variable renewable energy (VRE), inverter-based resources (IBR), and distributed energy resources (DER): power flow, short-circuit, frequency and voltage stability, hosting capacity, and static and dynamic state estimation;
  • Power system analysis/dynamics for facilitating the connection of electric vehicles and storage devices;
  • Integration of renewable energy at transmission- and distribution-level considering flexibility resources.
  • Planning of flexibility resources in different timescales; demand side management, energy storage systems, and thermal rating of equipment, among others;
  • Stochastic models for generation, transmission, and distribution planning
  • Optimization approaches, network models, short-long-term approaches, etc. Transmission, generation and distribution planning and analysis;
  • Methodologies, models, and tools for planning: interconnection studies, unit commitment and production cost studies, planning of flexibility resources;
  • Planning of HVDC grids and links;
  • Joint expansion planning of power systems and other energy networks as gas pipelines.

Prof. Dr. Paulo M. De Oliveira-De Jesus
Prof. Dr. Manuel Alvarez
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. Sustainability 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 2400 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

  • renewable energy
  • distributed resources
  • power electronics
  • power system analysis
  • planning
  • generation
  • transmission
  • distribution

Published Papers (5 papers)

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Research

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12 pages, 1208 KiB  
Article
Research on Maximum Penetration Ratio of Wind Power under the Voltage Stability Margin Constraint
by Cheng Lei, Yaning Wu, Yu Huang, Yu Liang, Jinfeng Nie, Muyi Tang, Xuancheng Yi and Yi Luo
Sustainability 2022, 14(12), 7217; https://0-doi-org.brum.beds.ac.uk/10.3390/su14127217 - 13 Jun 2022
Cited by 3 | Viewed by 1377
Abstract
With the large-scale integration of wind power, the voltage stability problem in the power system has become increasingly prominent. Therefore, this paper studies the maximum penetration ratio of wind power from the perspective of voltage stability. Firstly, the mathematical grid-connection model of the [...] Read more.
With the large-scale integration of wind power, the voltage stability problem in the power system has become increasingly prominent. Therefore, this paper studies the maximum penetration ratio of wind power from the perspective of voltage stability. Firstly, the mathematical grid-connection model of the wind generator is established. Secondly, using the impedance modulus margin index (IMMI) and the Thevenin model, the analytical calculation method for maximum wind power penetration under the voltage stability margin constraint is proposed with theoretical derivation. Then, a typical case study is used to verify the feasibility and effectiveness of the proposed method. Finally, based on this, the key factors affecting the wind power penetration limit are analyzed from the source–grid–load side, and practical engineering measures to improve the maximum penetration ratio of wind power are summarized. This research will be helpful for the planning and operation of the high-proportion renewable energy power systems. Full article
(This article belongs to the Special Issue Sustainable Power System Planning and Analysis)
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21 pages, 4312 KiB  
Article
A Time-Varying Potential Evaluation Method for Electric Vehicle Group Demand Response Driven by Small Sample Data
by Sheng Ding, Chengmei Xu, Yao Rao, Zhaofang Song, Wangwang Yang, Zexu Chen and Zitong Zhang
Sustainability 2022, 14(9), 5281; https://0-doi-org.brum.beds.ac.uk/10.3390/su14095281 - 27 Apr 2022
Cited by 1 | Viewed by 1331
Abstract
Electric vehicle (EV) loads are playing an increasingly important role in improving the flexibility of power grid operation. The prerequisite for EV loads to participate in demand response (DR) is that the DR regulation strategy and corresponding DR potential must be accurately analyzed [...] Read more.
Electric vehicle (EV) loads are playing an increasingly important role in improving the flexibility of power grid operation. The prerequisite for EV loads to participate in demand response (DR) is that the DR regulation strategy and corresponding DR potential must be accurately analyzed and evaluated. However, due to the uncertainty and differences in travel and charging behavior, DR potentials of EVs exhibit randomness and differ in time and space. In addition, it is difficult to obtain refined travel data and charging load data of large-scale EVs. Accordingly, this paper focuses on how to consider the various influencing factors of potential, and realize the quantitative evaluation of DR time-varying potential of an EV group based on small sample data. First, a travel activity model of the EV is established. Based on the actual travel data, the probability distributions of the key parameters of the travel model are obtained by kernel density estimation and probability statistical fitting. Then, combined with the charging behavior model, and based on Monte Carlo simulation, the load curve of the EV in a residential area is predicted. Considering the travel need of the EV, the peak-shaving potential, vehicle-to-grid discharge potential, and valley-filling potential of the EV under different DR strategies are calculated and analyzed, and the time-varying characteristics of the potential are analyzed. Finally, a case study is carried out with the actual data. The results show that the DR time-varying potential under different time periods and control strategies can be effectively evaluated. The maximum peak-shaving potential of 1000 EV aggregates is 2.7 MW, and the minimum is 0.25 MW. The maximum valley-filling potential is 2.1 MW, and the minimum is 0.3 MW. The research results can provide effective guidance for EVs to participate in day-ahead scheduling, and for the screening of target EVs. Full article
(This article belongs to the Special Issue Sustainable Power System Planning and Analysis)
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17 pages, 5716 KiB  
Article
Control Strategy for Line Overload and Short Circuit Current of Networked Distribution Systems
by Junwoo Lee, Wookyu Chae, Woohyun Kim and Sungyun Choi
Sustainability 2022, 14(7), 4208; https://0-doi-org.brum.beds.ac.uk/10.3390/su14074208 - 01 Apr 2022
Cited by 6 | Viewed by 1895
Abstract
The expected increase in renewable energy sources (RESs) and electric vehicles (EVs) connected to distribution systems will result in many technical constraints. A meshed network is a promising solution; however, some remarkable challenges must be overcome. Among these, this paper mainly focuses on [...] Read more.
The expected increase in renewable energy sources (RESs) and electric vehicles (EVs) connected to distribution systems will result in many technical constraints. A meshed network is a promising solution; however, some remarkable challenges must be overcome. Among these, this paper mainly focuses on the line overload and short circuit current of a networked distribution system (NDS) in Korea, an advanced form of meshed network. An NDS refers to a system in which there exists permanent linkages between four feeders and N × N communication-based protection. We propose a method, which employs the tap changing control algorithm of the series reactor to control line overload and short circuit current. MATLAB/Simulink was used to evaluate the proposed method. Three different types of distribution system were employed. First, the utilization rate and feeder imbalance were analyzed in steady-state condition. Subsequently, the short circuit current was analyzed in short circuit condition. The results revealed that the proposed method can effectively prevent line overload in up to 82.7% of cases, enhance the utilization rate by up to 79.9%, and relieve the short circuit current; that is, it can contribute to system stability and the economic operation of an NDS. Full article
(This article belongs to the Special Issue Sustainable Power System Planning and Analysis)
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18 pages, 26828 KiB  
Article
Strategy for Optimal Grid Planning and System Evaluation of Networked Distribution Systems
by Junwoo Lee, Myungseok Yoon, Wookyu Chae, Woohyun Kim and Sungyun Choi
Sustainability 2022, 14(1), 304; https://0-doi-org.brum.beds.ac.uk/10.3390/su14010304 - 28 Dec 2021
Cited by 4 | Viewed by 1604
Abstract
The meshed network may become a standard for future distribution systems owing to its various benefits regarding voltage profile, reliability, losses, and the distributed generation (DG). Therefore, in Korea, there is a plan to introduce an advanced form of meshed network called a [...] Read more.
The meshed network may become a standard for future distribution systems owing to its various benefits regarding voltage profile, reliability, losses, and the distributed generation (DG). Therefore, in Korea, there is a plan to introduce an advanced form of meshed network called a networked distribution system (NDS). This refers to a system with permanent linkages between four distribution lines (DLs) and N×N communication-based protection. To properly introduce NDS to an actual grid, this study proposes a strategy for optimal grid planning and system evaluation. Four different topologies and four practical indicators are explained. First, load imbalance is used to find the optimal grid that maximizes the load capacity. Second, line overload, fault current, and temporary overvoltage (TOV) were used to evaluate the necessity of load transfer, availability of circuit breakers, relay settings, and system stability. PSCAD/EMTDC were employed for the simulation. This study establishes the construction and evaluation guidelines of NDS for distribution system operators (DSOs). Full article
(This article belongs to the Special Issue Sustainable Power System Planning and Analysis)
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Review

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22 pages, 902 KiB  
Review
Classification Study of New Power System Stability Considering Stochastic Disturbance Factors
by Sheng Li, Changhong Duan, Yuan Gao and Yuhao Cai
Sustainability 2023, 15(24), 16614; https://0-doi-org.brum.beds.ac.uk/10.3390/su152416614 - 06 Dec 2023
Viewed by 533
Abstract
Power system instability causes many local or large-scale power outage accidents. To maintain sustainable development, a new power system construction aimed at maximizing new energy consumption is being put on the agenda. However, with a large increase in stochastic disturbance factors (SDFs), the [...] Read more.
Power system instability causes many local or large-scale power outage accidents. To maintain sustainable development, a new power system construction aimed at maximizing new energy consumption is being put on the agenda. However, with a large increase in stochastic disturbance factors (SDFs), the system gradually shows strong stochasticity, and the stability presents greater complexity. It is necessary to analyze the impact on the system based on different processing methods of SDFs to maintain system stability. This paper delves into the impact of SDFs on system stability by analyzing and summarizing both stochastic variables and processes. Initially, the SDFs in the power system are meticulously analyzed and categorized. When the SDFs are treated as stochastic variables, the probabilistic stability is classified and evaluated based on a probability analysis method, which includes the probabilistic small-disturbance stability, the probabilistic transient stability, and the probabilistic voltage stability. When the SDFs are treated as stochastic processes, the stochastic stability is classified and evaluated by using a stochastic analysis method, including the stochastic small-disturbance stability, the stochastic transient stability, and the stochastic voltage stability. Finally, the research perspectives on SDFs and system stability are discussed and prospected. Full article
(This article belongs to the Special Issue Sustainable Power System Planning and Analysis)
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