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Processes
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Operation and Control of New Power System with Large-Scale Renewable...
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Operation and Control of New Power System with Large-Scale Renewable Energy Integration

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".

Deadline for manuscript submissions: 28 February 2025 | Viewed by 2170

Special Issue Editors

Dr. Dawei Zhao

E-Mail Website
Guest Editor
Automation, Nanjing University of Science and Technology, Nanjing, 210094, China
Interests: Renewable energy; modeling and model validation of power systems; control and stability analysis of power systems
Special Issues, Collections and Topics in MDPI journals
Dr. Junyi Zhai

E-Mail Website
Guest Editor
College of New Energy, China University of Petroleum (East China), Qingdao, 266580, China
Interests: Power systems operation and control; Multi-energy systems planning; Distributed optimization; Decision-making under uncertainty
Special Issues, Collections and Topics in MDPI journals
Dr. Shengyuan Liu

E-Mail Website
Guest Editor
State Grid Zhejiang Electric Power Corporation, Hangzhou, 310007, China
Interests: power system operation and control; power system optimization; renewable energy forecasting; power system restoration; artificial intelligence
Dr. Wangqianyun Tang

E-Mail Website
Guest Editor
Electric Power Research Institute of China Southern Power Grid, Guangzhou 510080, China
Interests: Renewable energy; wind turbine modeling and control; electronized power system stability analysis

Special Issue Information

Dear Colleagues,

Recently, renewable energy sources such as wind power and solar photovoltaic (PV) power have experienced rapid and large-scale development worldwide. Compared to conventional hydroelectric and thermal power units, wind and PV power generation systems primarily utilize power electronic converter equipment, which has relatively poor disturbance resistance and insufficient support capacity for the power grid. The introduction of the “carbon peak, carbon neutrality” goals will further promote the development of renewable energy power generation, profoundly changing the operational characteristics and stability of the power system. Achieving a safe and stable operation of a new type of power system containing large-scale renewable energy is an urgent focal issue that the academic and industrial communities need to tackle internationally.

This Special Issue aims to cover recent advances in the development and application for operation and control of new power system with large-scale renewable energy integration. Suitable topics for this Special Issue include, but are not limited to, the following:

  • Modeling of renewable energy power generation system;
  • Control of renewable energy power plant or cluster;
  • Stability analysis of power system with large-scale renewable energy integration;
  • Forecasting of renewable energy;
  • Operation optimization of power system with large-scale renewable energy integration;
  • Restoration of power system with large-scale renewable energy integration;
  • Development and application of artificial intelligence in power systems with large-scale renewable energy integration.

Dr. Dawei Zhao
Dr. Junyi Zhai
Dr. Shengyuan Liu
Dr. Wangqianyun Tang
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. Processes is an international peer-reviewed open access monthly 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
  • modeling
  • control
  • stability analysis
  • forecasting
  • operation optimization
  • restoration
  • artificial intelligence

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

Published Papers (4 papers)

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Research

19 pages, 18656 KiB  
Article
A Modified Control Strategy for Three-Phase Four-Switch Active Power Filters Based on Fundamental Positive Sequence Extraction
by Chun Xiao, Yulu Ren, Qiong Cao, Lei Wang and Jingyu Yin
Processes 2024, 12(11), 2586; https://doi.org/10.3390/pr12112586 - 18 Nov 2024
Viewed by 71
Abstract
Three-phase four-switch active power filters (APFs) have attracted attention due to their low amount of semiconductors and low cost. The traditional control strategy of three-phase four-switch APFs usually includes phase-locked loops (PLLs) and rotating coordinate transformation for harmonic detection, resulting in complicated calculations [...] Read more.
Three-phase four-switch active power filters (APFs) have attracted attention due to their low amount of semiconductors and low cost. The traditional control strategy of three-phase four-switch APFs usually includes phase-locked loops (PLLs) and rotating coordinate transformation for harmonic detection, resulting in complicated calculations and increased computation. In this paper, a modified control strategy for three-phase four-switch APFs based on fundamental positive sequence extraction is proposed, eliminating PLLs and rotating coordinate transformation with trigonometric calculations. Harmonic extraction is based on the fundamental positive sequence extraction method, while non-locked phase loop coordinate transformation is proposed to eliminate trigonometric calculations. Quasi-PR control is adopted for current tracking, and DC voltage control is designed to suppress voltage imbalance between the two split capacitors on the DC side. The space vector pulse width modulation (SVPWM) method is modified for a reduced-switch APF topology. The proposed control strategy guarantees excellent harmonic compensation: harmonic currents are significantly suppressed when the APFs are working, the THD of the source current decreases to 3.86%, the bus voltage fluctuation on the DC side is small, the voltage remains stable, and the computational complexity is reduced. Finally, a simulation and an experimental hardware platform are established to validate the feasibility and performance of the proposed control strategy. The experimental results show that it has good performance in suppressing harmonics and improving power quality. Full article
(This article belongs to the Special Issue Operation and Control of New Power System with Large-Scale Renewable Energy Integration)
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20 pages, 3800 KiB  
Article
Real-Time Economic Dispatching for Microgrids Based on Flexibility Envelopes
by Dawei Zhao, Chuanzhi Zhang, Yujie Ning and Yuchong Huo
Processes 2024, 12(11), 2544; https://doi.org/10.3390/pr12112544 - 14 Nov 2024
Viewed by 305
Abstract
The core function of a microgrid controller is to compute and distribute a set points related to the distributed energy resources and controllable loads to ensure optimal performance. The development of a real-time economic dispatching algorithm that enhances the operation of microgrids, particularly [...] Read more.
The core function of a microgrid controller is to compute and distribute a set points related to the distributed energy resources and controllable loads to ensure optimal performance. The development of a real-time economic dispatching algorithm that enhances the operation of microgrids, particularly those involving wind, diesel, and storage systems, is the aim of this paper. The proposed algorithm is based on the flexibility envelope concept, which enables efficient, real-time dispatching, without the need for professional optimization software. The main objective of this paper is to provide a cost-effective and practical solution for managing uncertainties in terms of renewable energy generation and load demand. The algorithm is tested on a microgrid energy management system, in both grid-connected and islanded operation modes. The results demonstrate that the proposed algorithm achieves significant cost reductions compared to a rule-based myopic policy, while closely approximating the optimal dispatch results obtained from offline professional optimization tools. Full article
(This article belongs to the Special Issue Operation and Control of New Power System with Large-Scale Renewable Energy Integration)
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16 pages, 4467 KiB  
Article
Mechanism Analysis of Low-Frequency Oscillation Caused by VSG from the Perspective of Vector Motion
by Hongqiang Zhang, Yunpeng Zhou, Wei He, Jiabing Hu, Wei Huang, Wenyun Li and Suwei Zhai
Processes 2024, 12(10), 2303; https://doi.org/10.3390/pr12102303 - 21 Oct 2024
Viewed by 482
Abstract
Virtual synchronous generators (VSGs) have attracted widespread attention due to their advantage in supporting voltage and frequency of power systems. However, relevant studies have shown that a VSG has similar low-frequency oscillation as synchronous generators, which is more likely to occur under strong [...] Read more.
Virtual synchronous generators (VSGs) have attracted widespread attention due to their advantage in supporting voltage and frequency of power systems. However, relevant studies have shown that a VSG has similar low-frequency oscillation as synchronous generators, which is more likely to occur under strong grid conditions. In this paper, the linearized mathematical model of a VSG is established by using small-signal analysis; based on this, the physical process of low-frequency oscillation of a VSG is explained from the perspective of vector motion. Firstly, the amplitude and phase motion of the current vector of a VSG under small disturbance are analyzed, then the mechanism of negative damping caused by terminal voltage control is revealed, and the reason why a VSG is more prone to instability under strong grid conditions is explained. Based on these, the influence of control and grid strength on the low-frequency oscillation of a VSG is analyzed. Studies show that the amplitude motion of the output current is the main cause of negative damping, and the oscillation can be suppressed by optimizing the value of key parameters. Full article
(This article belongs to the Special Issue Operation and Control of New Power System with Large-Scale Renewable Energy Integration)
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13 pages, 1990 KiB  
Article
Multi-Type Energy Storage Collaborative Planning in Power System Based on Stochastic Optimization Method
by Yinguo Yang, Qiuyu Lu, Zhenfan Yu, Weihua Wang and Qianwen Hu
Processes 2024, 12(10), 2079; https://doi.org/10.3390/pr12102079 - 25 Sep 2024
Viewed by 595
Abstract
As the proportion of renewable energy in power system continues to increase, that power system will face the risk of a multi-time-scale supply and demand imbalance. The rational planning of energy storage facilities can achieve a dynamic time–delay balance between power system supply [...] Read more.
As the proportion of renewable energy in power system continues to increase, that power system will face the risk of a multi-time-scale supply and demand imbalance. The rational planning of energy storage facilities can achieve a dynamic time–delay balance between power system supply and demand. Based on this, and in order to realize the location and capacity optimization determination of multiple types of energy storage in power system, this paper proposes a collaborative optimization planning framework for multiple types of energy storage. The proposed planning framework is modelled as a two-stage MILP model based on scenarios via the stochastic optimization method. In the first stage, investment decisions are made for two types of energy storage: battery energy storage (short term) and hydrogen energy storage (long term). In the second stage, power system operation simulation is conducted based on typical scenarios. Finally, the progressive hedging (PH) algorithm is applied to realize the efficient solving of the proposed model. A modified IEEE 39-bus test system is used to verify the validity of the proposed multiple types of energy storage collaborative optimization planning model and PH algorithm. Full article
(This article belongs to the Special Issue Operation and Control of New Power System with Large-Scale Renewable Energy Integration)
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