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Sustainable Operation and Control of Renewable Energy Resources

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: 10 November 2024 | Viewed by 624

Special Issue Editor


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Guest Editor
College of Energy and Electrical Engineering, Hohai University, Nanjing 210024, China
Interests: multi-energy complementary operation; renewable energy integration and control

Special Issue Information

Dear Colleagues,

Overusing traditional fossil fuels has caused severe environmental pollution and accelerated the climate crisis in recent decades. Replacing fossil fuels with renewable energy, such as wind and photovoltaic sources, can alleviate this crisis to some extent. Against this background, the installed capacity and power generation of new energy sources, such as wind power and photovoltaic, continue to increase.

With the rapid development of renewable energy technologies, however, due to the inherent intermittency, volatility, and uncertainty, the direct integration of wind power and photovoltaic creates challenges in the safe and stable operation of the power grid.

Therefore, to achieve the integration of large-scale renewable energy generations, combining flexible power resources (such as hydro) and renewable energy into a complementary power-generation system is an effective means to promote the accommodation of new energy connected to the grid. Renewable energy does not produce pollutants and contributes to sustainable society and economic growth with much lower carbon emissions. Thus, the coordination of flexible resources and renewable energy is preferred as an optional power source for replacing fossil fuels to alleviate the weather crisis and achieve cleaner and more sustainable energy systems. This Special Issue aims to present the latest advancements in renewable energy technologies and sustainability, with a particular focus on the operation and control of power grids with the high penetration of renewable energy generations.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  1. Prediction, modeling, and uncertainty analysis of renewable energy generation;
  2. Optimal design and sizing for off-grid hybrid energy systems;
  3. Novel renewable energy-dominated hybrid systems;
  4. Efficient and secure integration of massive renewable energy resources;
  5. Operation and control of renewable energy resources;
  6. Sustainable policies for renewable energy development;
  7. Market structure design for boosting the penetration of renewables;
  8. Energy trading of renewable energy resources;
  9. Situational awareness and risk management of renewables-dominated power systems;
  10. Development of novel approaches for modeling and simulation of hybrid energy technologies.

We look forward to receiving your contributions.

Prof. Dr. Feng Wu
Guest Editor

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

  • new energy dominated power systems
  • renewable energy
  • hydropower
  • operation optimization
  • hybrid energy system
  • design and sizing
  • power electronics
  • economic analysis

Published Papers (1 paper)

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Research

20 pages, 3563 KiB  
Article
Optimized Battery Capacity Allocation Method for Wind Farms with Dual Operating Conditions
by Chenrui Duanmu, Linjun Shi, Deping Jian, Renshan Ding, Yang Li and Feng Wu
Sustainability 2024, 16(9), 3615; https://doi.org/10.3390/su16093615 - 25 Apr 2024
Viewed by 459
Abstract
In order to solve the problems of wind power output volatility and wind power participation in frequency regulation, a method for optimizing the capacity allocation of wind farm storage batteries based on the dual grouping strategy and considering the simultaneous execution of the [...] Read more.
In order to solve the problems of wind power output volatility and wind power participation in frequency regulation, a method for optimizing the capacity allocation of wind farm storage batteries based on the dual grouping strategy and considering the simultaneous execution of the dual conditions of energy storage in fluctuation smoothing and primary frequency regulation is proposed. Firstly, a two-layer model is established to optimize the capacity allocation under dual operating conditions, i.e., the planning layer takes into account the lifetime, cost, and benefit, and the operation layer considers the wind turbine reserve backup and storage control to participate in the primary frequency regulation in a cooperative manner. Then, the dual battery pack operation strategy is embedded with the variational modal decomposition method to determine the charging and discharging operation strategy of energy storage after considering the grid-optimized reference power. An improved particle swarm algorithm with inverse learning pre-optimization combined with variational crossover post-optimization is embedded in the GUROBI computation to obtain the optimal battery storage capacity allocation scheme. Finally, the superiority of the model proposed in this paper in terms of improving energy storage utilization, service life, and economic efficiency as well as reducing wind power load shedding is verified by comparing it with a single execution working condition scenario and traditional battery control strategy. Full article
(This article belongs to the Special Issue Sustainable Operation and Control of Renewable Energy Resources)
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