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Advances in the Monitoring, Evaluation, Operation and Development of High-Penetration Renewable Energy Power Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".

Deadline for manuscript submissions: closed (20 November 2024) | Viewed by 7334

Special Issue Editors

Prof. Dr. Yiyi Zhang

E-Mail Website
Guest Editor
Guangxi Key Laboratory of Power System Optimization and Energy Technology, Guangxi University, Nanning 530004, China
Interests: high voltage; electrical insulation; heat sink; PCM; multiphysics coupling; thyristor; temperature field; cellulose insulation; transformers
Special Issues, Collections and Topics in MDPI journals
Dr. Sen Guo

E-Mail Website
Guest Editor
School of Economics and Management, North China Electric Power University, Beijing 102206, China
Interests: energy economy and environment; energy investments; electricity market and carbon market
Special Issues, Collections and Topics in MDPI journals
Dr. Yude Yang

E-Mail Website
Guest Editor
Guangxi Key Laboratory of Power System Optimization and Energy-Saving Technology, School of Electrical Engineering, Guangxi University, Nanning 530004, China
Interests: optimization for power system operation; transient stability; power system analysis; optimal power flow
Special Issues, Collections and Topics in MDPI journals
Dr. Bo Li

E-Mail Website
Guest Editor
School of Electrical Engineering, Guangxi University, Nanning 530004, China
Interests: long-term planning for new power systems; electric vehicle charging load forecasting and control; power system optimization operation; electricity market; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the growing global focus on renewable energy, high-penetration renewable energy power systems are rapidly gaining traction. However, the monitoring, evaluation, and operation of high-penetration renewable energy power systems face a complex set of technical and management challenges. These include a mismatch between energy production and consumption, uncertain renewable energy forecasts, the dynamic scheduling and stability of power networks, transformer status assessment, the electricity–water–carbon nexus, electricity market operation assessment, etc. To address these challenges and achieve reliable operation of high-penetration renewable energy power systems, in-depth research and technological innovation are needed, as well as feasible policies and measures to ensure the sustainable use of renewable energy, reduce carbon emissions, and achieve a secure and reliable supply of energy.

This Special Issue aims to present the latest developments related to advances in the monitoring, evaluation, and operation of high-penetration renewable energy power systems.

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

  • High penetration of renewable energy;
  • Techniques for the monitoring, evaluation, and operation of power systems;
  • On-line and off-line condition monitoring techniques;
  • Condition monitoring and evaluation technology for transformers;
  • The electricity–water–carbon nexus and other green energy fields;
  • Renewable energy methodology;
  • Operational assessment of the electricity market;
  • Renewable energy operation technology;
  • Advanced modeling approaches;
  • Condition assessment techniques of transformer;
  • Condition assessment techniques of power system;
  • Operational assessment of power system.

Prof. Dr. Yiyi Zhang
Dr. Sen Guo
Dr. Yude Yang
Dr. Bo Li
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

  • renewable energy
  • power systems
  • electricity–water–carbon nexus
  • renewable energy forecasts
  • electricity market

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Related Special Issue

Published Papers (5 papers)

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Research

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15 pages, 1472 KiB  
Article
The Intelligent Sizing Method for Renewable Energy Integrated Distribution Networks
by Zhichun Yang, Fan Yang, Yu Liu, Huaidong Min, Zhiqiang Zhou, Bin Zhou, Yang Lei and Wei Hu
Energies 2024, 17(22), 5763; https://doi.org/10.3390/en17225763 - 18 Nov 2024
Viewed by 621
Abstract
The selection of the optimal 35 kV network structure is crucial for modern distribution networks. To address the problem of balancing investment costs and reliability benefits, as well as to establish the target network structure, firstly, the investment cost of the distribution network [...] Read more.
The selection of the optimal 35 kV network structure is crucial for modern distribution networks. To address the problem of balancing investment costs and reliability benefits, as well as to establish the target network structure, firstly, the investment cost of the distribution network is calculated based on the determined number of network structure units. Secondly, reliability benefits are measured by combining the comprehensive function of user outage losses with the System Average Interruption Duration Index (SAIDI). Then, a multi-objective planning model of the network structure is established, and the weighted coefficient transformation method is used to convert reliability benefits and investment costs into the total cost of power supply per unit load. Finally, by using the influencing factors of the network structure as the initial population and setting the minimum total cost of the unit load as the fitness function, the DE algorithm is employed to obtain the optimal grid structure under continuous load density intervals. Case studies demonstrate that different load densities correspond to different optimal network structures. For load densities ranging from 0 to 30, the selected optimal network structures from low to high are as follows: overhead single radial, overhead three-section with two ties, cable single ring network, and cable dual ring network. Full article
(This article belongs to the Special Issue Advances in the Monitoring, Evaluation, Operation and Development of High-Penetration Renewable Energy Power Systems)
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19 pages, 17916 KiB  
Article
Integrated Energy System Load Forecasting with Spatially Transferable Loads
by Zhenwei Ding, Hepeng Qing, Kaifeng Zhou, Jinle Huang, Chengtian Liang, Le Liang, Ningsheng Qin and Ling Li
Energies 2024, 17(19), 4843; https://doi.org/10.3390/en17194843 - 27 Sep 2024
Cited by 1 | Viewed by 801
Abstract
In the era of dual carbon, the rapid development of various types of microgrid parks featuring multi-heterogeneous energy coupling presents new challenges in accurately modeling spatial and temporal load characteristics due to increasingly complex source–load characteristics and diversified interaction patterns. This study proposes [...] Read more.
In the era of dual carbon, the rapid development of various types of microgrid parks featuring multi-heterogeneous energy coupling presents new challenges in accurately modeling spatial and temporal load characteristics due to increasingly complex source–load characteristics and diversified interaction patterns. This study proposes a short-term load forecasting method for an interconnected park-level integrated energy system using a data center as the case study. By leveraging spatially transferable load characteristics and the heterogeneous energy correlation among electricity–cooling–heat loads, an optimal feature set is selected to effectively characterize the spatial and temporal coupling of multi-heterogeneous loads using Spearman correlation analysis. This optimal feature set is fed into the multi-task learning (MTL) combined with the convolutional neural network (CNN) and long- and short-term memory (LSTM) network model to generate prediction results. The simulation results demonstrate the efficacy of our proposed approach in characterizing the spatial and temporal energy coupling across different parks, enhancing track load “spikes” and achieving superior prediction accuracy. Full article
(This article belongs to the Special Issue Advances in the Monitoring, Evaluation, Operation and Development of High-Penetration Renewable Energy Power Systems)
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19 pages, 8171 KiB  
Article
Modeling and Simulation of Distribution Networks with High Renewable Penetration in Open-Source Software: QGIS and OpenDSS
by Ramón E. De-Jesús-Grullón, Rafael Omar Batista Jorge, Abraham Espinal Serrata, Justin Eladio Bueno Díaz, Juan José Pichardo Estévez and Nestor Francisco Guerrero-Rodríguez
Energies 2024, 17(12), 2925; https://doi.org/10.3390/en17122925 - 14 Jun 2024
Cited by 1 | Viewed by 2513
Abstract
There are important challenges in modeling large electrical distribution circuits, especially with the presence of distributed renewable generation. Constructing simulations to assess the effect of the penetration of distributed generation on electrical distribution networks has become of great importance for Distribution Network Operators [...] Read more.
There are important challenges in modeling large electrical distribution circuits, especially with the presence of distributed renewable generation. Constructing simulations to assess the effect of the penetration of distributed generation on electrical distribution networks has become of great importance for Distribution Network Operators (DNOs). This paper proposes a simulation strategy based on open-source platforms and the integration of scripting tools for the rapid modeling of large-scale electrical distribution circuits with distributed renewable generation. The implementation is based on the adaptation of a tool called QGIS2OpenDSS, which creates OpenDSS distribution network models directly from an open-source geographic information system, QGIS. The plugin’s capabilities are demonstrated using a real distribution feeder with more than 60% penetration of renewable generation based on photovoltaic systems. These simulations are carried out using real data from a circuit provided by a DNO in the Dominican Republic, which is used to demonstrate how this approach provides a more accessible and flexible way to simulate and assess the effect of Distributed Energy Resources (DERs) in medium voltage (MV) and low voltage (LV) networks, enabling utilities to evaluate system performance and identify potential issues. The integration of this open-source tool within the DNO software stack enables users to apply it according to specific project needs, enhancing their capability to analyze and manage high DER penetration levels, aiding in better planning, operation, and decision-making processes related to renewable energy projects. Full article
(This article belongs to the Special Issue Advances in the Monitoring, Evaluation, Operation and Development of High-Penetration Renewable Energy Power Systems)
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15 pages, 7134 KiB  
Article
Prediction Model for Trends in Submarine Cable Burial Depth Variation Considering Dynamic Thermal Resistance Characteristics
by Zhenxing Hu, Xueyong Ye, Xiaokang Luo, Hao Zhang, Mingguang He, Jiaxing Li and Qian Li
Energies 2024, 17(9), 2127; https://doi.org/10.3390/en17092127 - 29 Apr 2024
Viewed by 1484
Abstract
Fault problems associated with submarine cables caused by variations in their burial depth are becoming increasingly prominent. To address the difficulty of detecting the burial depth of submarine cables and trends in its variation, a prediction model for submarine cable burial depth was [...] Read more.
Fault problems associated with submarine cables caused by variations in their burial depth are becoming increasingly prominent. To address the difficulty of detecting the burial depth of submarine cables and trends in its variation, a prediction model for submarine cable burial depth was proposed which considers the dynamic characteristics of thermal resistance. First, a parallel thermal circuit model of a three-core submarine cable was established, and a formula for calculating the submarine cable’s burial depth was derived based on a formula for calculating the submarine cable’s core temperature. Then, the calculation result was corrected by considering the dynamic characteristics of the thermal resistance of the submarine cable’s structural materials. On this basis, feature vectors associated with the seabed cable burial depth calculation data and time nodes were mined by a convolutional neural network and used as the input parameters of a long short-term memory network for optimization and training, and a prediction model for trends in seabed cable burial depth variation was obtained. Finally, an example analysis was carried out based on the actual electrical parameter data of submarine cables buried by an offshore oil and gas platform. The results showed that the prediction model for trends in variations in the burial depth of submarine cables based on the CNN-LSTM neural network can achieve high prediction accuracy and prediction efficiency. Full article
(This article belongs to the Special Issue Advances in the Monitoring, Evaluation, Operation and Development of High-Penetration Renewable Energy Power Systems)
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Other

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19 pages, 2423 KiB  
Technical Note
A Feasible Region-Based Evaluation Method for the Renewable Energy Hosting Capacity with Frequency Security Constraints
by Zhi Zhang, Haibo Zhao, Qingyue Ran, Yao Wang, Juan Yu, Hongli Liu and Hui Duan
Energies 2024, 17(13), 3317; https://doi.org/10.3390/en17133317 - 5 Jul 2024
Viewed by 1000
Abstract
As renewable energy becomes more widespread, the uncertainty of its output poses serious challenges for peak and frequency regulation of the power system. Evaluating a grid’s capacity to integrate renewable energy sources can provide an early-warning and decision-making basis for grid operation and [...] Read more.
As renewable energy becomes more widespread, the uncertainty of its output poses serious challenges for peak and frequency regulation of the power system. Evaluating a grid’s capacity to integrate renewable energy sources can provide an early-warning and decision-making basis for grid operation and scheduling. This paper presents a method for evaluating the hosting capacity of renewable energy, considering frequency security constraints. Introducing the system frequency nadir constraint into a system ensures that the frequency does not drop to a dangerous level in the event of power disturbances. The analytical characterization relation equation for the system frequency nadir constraint is constructed based on polynomial chaos expansion (PCE) theory. Furthermore, with the goal of minimizing the reduction in renewable energy, considering multiple flexible resources, like demand response (DR), Combined Heat and Power (CHP), energy storage, and Power-to-Gas (P2G), a renewable energy hosting capacity evaluation model that considers frequency security and flexibility resources is established. Finally, based on the concept of the feasible region, the maximum hosting capacity of a system’s renewable energy is visualized using the progressive vertex enumeration method. It identifies the safe operating region for renewable energy output that meets the safety constraints of power grid operations. The simulation results were validated using a modified IEEE 39 bus system. Full article
(This article belongs to the Special Issue Advances in the Monitoring, Evaluation, Operation and Development of High-Penetration Renewable Energy Power Systems)
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