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Energies
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The Planning, Operation and Control of Renewable Energy Power Grid
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The Planning, Operation and Control of Renewable Energy Power Grid

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".

Deadline for manuscript submissions: 30 August 2024 | Viewed by 2697

Special Issue Editors

Prof. Dr. Tao Lin

E-Mail Website
Guest Editor
School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Interests: power system stability; power system protection and control; power system planning and operation; power quality; power system measurement and instrumentation
Dr. Liming Ying

E-Mail Website
Guest Editor
School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Interests: electricity market theory and market mechanism research; demand response theory and application; renewable energy consumption mechanism and carbon emission market
Dr. Xue Cui

E-Mail Website
Guest Editor
School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Interests: power market and economy; the operation of power system; the planning of renewable energy planning in power grid

Special Issue Information

Dear Colleagues,

Renewable energy power generation mainly refers to wind power and photovoltaic power. At present, the world is at the stage where renewable energy power generation is gradually changing from supplementary power to the main power. Building a renewable energy power system, which is of great significance in achieving the green transformation of the power industry and realizing of the dual-carbon goal. On the other hand, the large-scale integration of renewable energy power sources also brings huge challenges to the planning, dispatching and operation, security and stability analysis, and protection and control technology of large-scale and distributed renewable energy power systems.

This Special Issue is seeking novel solutions and review papers with state-of-the-art findings and techniques that can deliver a significant contribution to the renewable energy power grid. The Special Issue is open to all contributions related to the renewable energy power grid; the potential focus areas include:

  • Renewable power generation and integration;
  • LCC and VSC - HVDC transmissions;
  • Planning and operation of the bulk renewable power system;
  • Planning and operation of the distributed renewable power and multi-energy system;
  • Dynamic performance analysis and stability control of the renewable power system;
  • Protection of the renewable power system as well as the VSC - HVDC grid;
  • Market mechanism of the renewable power system;
  • Intelligent algorithm application in the renewable power system.

Prof. Dr. Tao Lin
Dr. Liming Ying
Dr. Xue Cui
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 power generation and integration
  • HVDC
  • bulk power system planning and operation
  • distributed power and energy system
  • dynamic performance and stability control
  • market mechanism
  • intelligent algorithm application

Published Papers (2 papers)

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Research

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19 pages, 477 KiB  
Article
Efficient Allocation and Sizing the PV-STATCOMs in Electrical Distribution Grids Using Mixed-Integer Convex Approximation
by Víctor M. Garrido-Arévalo, Walter Gil-González, Oscar Danilo Montoya, Harold R. Chamorro and Jorge Mírez
Energies 2023, 16(20), 7147; https://doi.org/10.3390/en16207147 - 19 Oct 2023
Cited by 3 | Viewed by 699
Abstract
Photovoltaic (PV) systems are a clean energy source that allows for power generation integration into electrical networks without destructive environmental effects. PV systems are usually integrated into electrical networks only to provide active power during the day, without taking full advantage of power [...] Read more.
Photovoltaic (PV) systems are a clean energy source that allows for power generation integration into electrical networks without destructive environmental effects. PV systems are usually integrated into electrical networks only to provide active power during the day, without taking full advantage of power electronics devices, which can compensate for the reactive power at any moment during their operation. These systems can also generate dynamic reactive power by means of voltage source converters, which are called PV-STATCOM devices. This paper presents a convex formulation for the optimal integration (placement and sizing) of PV-STATCOM devices in electrical distribution systems. The proposed model considers reducing the costs of the annual energy losses and installing PV-STATCOM devices. A convex formulation was obtained to transform the hyperbolic relation between the products of the voltage into a second-order constraint via relaxation. Two simulation cases in the two IEEE test systems (33- and 69-node) with radial and meshed topologies were implemented to demonstrate the effectiveness of the proposed mixed-integer convex model. The results show that PV-STATCOM devices reduce the annual cost of energy losses of electrical networks in a more significant proportion than PV systems alone. Full article
(This article belongs to the Special Issue The Planning, Operation and Control of Renewable Energy Power Grid)
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Review

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23 pages, 472 KiB  
Review
Review of Deep Reinforcement Learning and Its Application in Modern Renewable Power System Control
by Qingyan Li, Tao Lin, Qianyi Yu, Hui Du, Jun Li and Xiyue Fu
Energies 2023, 16(10), 4143; https://doi.org/10.3390/en16104143 - 17 May 2023
Cited by 3 | Viewed by 1610
Abstract
With the ongoing transformation of electricity generation from large thermal power plants to smaller renewable energy sources (RESs), such as wind and solar, modern renewable power systems need to address the new challenge of the increasing uncertainty and complexity caused by the deployment [...] Read more.
With the ongoing transformation of electricity generation from large thermal power plants to smaller renewable energy sources (RESs), such as wind and solar, modern renewable power systems need to address the new challenge of the increasing uncertainty and complexity caused by the deployment of electricity generation from RESs and the integration of flexible loads and new technologies. At present, a high volume of available data is provided by smart grid technologies, energy management systems (EMSs), and wide-area measurement systems (WAMSs), bringing more opportunities for data-driven methods. Deep reinforcement learning (DRL), as one of the state-of-the-art data-driven methods, is applied to learn optimal or near-optimal control policy by formulating the power system as a Markov decision process (MDP). This paper reviews the recent DRL algorithms and the existing work of operational control or emergency control based on DRL algorithms for modern renewable power systems and control-related problems for small signal stability. The fundamentals of DRL and several commonly used DRL algorithms are briefly introduced. Current issues and expected future directions are discussed. Full article
(This article belongs to the Special Issue The Planning, Operation and Control of Renewable Energy Power Grid)
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