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Optimizing Power Demand-Side Resources for Grid Security, Energy Efficiency, and Environmental Sustainability

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F3: Power Electronics".

Deadline for manuscript submissions: 20 September 2024 | Viewed by 339

Special Issue Editors


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Guest Editor
School of Electrical and Power Engineering, Hohai University, Nanjing, China
Interests: new energy power system stability analysis and control; power demand side resource transaction analysis and optimization; complex power system elasticity analysis and control; power cyber-physical

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Guest Editor
School of Electrical Engineering, Southwest Minzu University, Chengdu, China
Interests: modeling and control of power electronic systems; protection and control of distribution network

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Guest Editor
School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China
Interests: power electronic power system stability analysis and control; transportation energy Internet; new form of urban power grid optimal operation and control technology; new form of urban power grid fault protection technology; new form of urban power grid fault characteristics analysis; new energy active control to improve power system stability technology

Special Issue Information

Dear Colleagues,

The power system, a critical infrastructure sustaining societal life and economic operations, confronts increasingly formidable challenges in the current global energy landscape. The confluence of burgeoning power demand, antiquated structures within traditional power systems, and an imperative for environmentally sustainable energy underscores the multifaceted pressures on the power industry. Against this backdrop, a nuanced exploration into the modeling, operational optimization, and trading strategies of power demand-side resources emerges as an imperative for fostering the sustainable evolution of power systems.

Primarily, the traditional configuration of power systems grapples with challenges pertaining to grid security, particularly in the face of recurrent extreme weather events and unforeseen emergencies. Strengthening the system's resilience is imperative to ensure steadfast operation across diverse environmental conditions. Subsequently, inefficiencies and suboptimal energy utilization pose significant challenges within the power system, leading to wastage under high or imbalanced loads. The development of optimization models becomes pivotal in enhancing energy efficiency and effecting a more judicious distribution of energy resources. Furthermore, in response to the escalating demand for sustainability, there is a pressing societal need for environmentally friendly and renewable energy sources. The prevalent reliance of traditional power systems on fossil fuels underscores the considerable room for improvement in environmental considerations. Finally, the somewhat rigid trading mechanisms in the power market face challenges in adapting to dynamic shifts in demand. Introducing more adaptive and flexible trading mechanisms designed to incentivize the participation of demand-side resources is a critical imperative.

Consequently, a comprehensive investigation into the modeling, operational optimization, and trading strategies of power demand-side resources assumes paramount practical significance in addressing contemporary power systems' challenges. This research contributes to augmenting the power system's overall efficacy and strategically supports the power industry's trajectory toward a more secure, efficient, and environmentally sustainable future.

This research topic encompasses, but is not confined to, the following domains:

  1. Modeling methodologies for power demand-side resources with a focus on grid security.
  2. Applications of intelligent appliances in enhancing grid security, efficiency, and environmental sustainability.
  3. Development of flexible load optimization models to augment grid security and energy utilization efficiency.
  4. Real-time operational strategies for environmentally conscious applications in power demand-side resources.
  5. Control mechanisms for power demand-side resources ensuring grid security amidst seasonal variations.
  6. Integration strategies for power demand-side resources aligned with renewable energy and environmental sustainability.
  7. Engagement of demand-side response in power market trading mechanisms to enhance energy utilization efficiency.
  8. Utilization of big data and artificial intelligence in optimizing demand-side resources.
  9. Flexibility and environmental consciousness in the application of intelligent control methods within power demand-side operations.
  10. Advancements in energy efficiency and environmental sustainability through pricing and incentive mechanisms on power demand-side.

Dr. Yingjun Wu
Dr. Yao Wang
Prof. Dr. Kai Liao
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

  • demand-side resources
  • grid security
  • energy efficiency
  • environmental sustainability

Published Papers (1 paper)

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Research

23 pages, 1789 KiB  
Article
Active Planning for Virtual Microgrids with Demand-Side and Distributed Energy Resources
by Lechuan Piao, Fei Xue, Shaofeng Lu, Lin Jiang, Bing Han and Xu Xu
Energies 2024, 17(10), 2391; https://doi.org/10.3390/en17102391 - 16 May 2024
Viewed by 207
Abstract
In this paper, the notion of a cohesive and self-sufficient grid is proposed. Based on a cohesive and self-sufficient virtual microgrid, an active distribution network is optimally planned, and an optimal configuration of demand-side resources, distributed generations, and energy storage systems are generated. [...] Read more.
In this paper, the notion of a cohesive and self-sufficient grid is proposed. Based on a cohesive and self-sufficient virtual microgrid, an active distribution network is optimally planned, and an optimal configuration of demand-side resources, distributed generations, and energy storage systems are generated. To cope with stochastic uncertainty from forecast error in wind speed and load, flexibility reserves are needed. In this paper, the supply relation between flexibility and uncertainty is quantified and integrated in an innovative index which is defined as cohesion. The optimization objectives are a minimized operational cost and system net-ability cohesion as well as self-sufficiency, which is defined as the abilities both to supply local load and to deal with potential uncertainty. After testing the optimal configuration in the PG&E 69 bus system, it is found that with a more cohesive VM partition, the self-sufficiency of VMs is also increased. Also, a case study on uncertainty-caused system imbalance is carried out to show how flexibility resources are utilized in real-time operational balance. Full article
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