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Sensors and Energy Management Applications for the Smart Grid—2nd Edition

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: 30 May 2025 | Viewed by 1379

Special Issue Editor


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Guest Editor
College of Electrical Engineering and Control Science, Nanjing TECH University, Nanjing 211816, China
Interests: optimisation; distributed power generation; demand side management; power generation dispatch; power generation scheduling; cost reduction; electric vehicle charging; power generation economics; automobiles; cost-benefit analysis; costing; energy consumption; energy storage; investment; load (electric) ;optimal control; pollution control; power consumption; power distribution economics; power generation planning; power grids; power markets; pricing; renewable energy sources; tanks (containers)
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Special Issue Information

Dear Colleagues,

With the rise of the IoT and the progress of information technology, the traditional electrical power grid is also transforming into a smart grid. Recently, innovative sensing products, services, and technologies such as intelligent monitoring, control, and communication have been adopted by smart grids to maintain and improve services. The behaviors and actions of all users are connected together by smart grids based on sensors. However, different types of users have different ways of participating in grid scheduling and control, which leads to the need for smart grids to flexibly adjust their own regulation and control strategies according to the dynamic response of demand-side resources. In addition, power trading can also be used to supplement and optimize the smart grid load dispatching operation, and to distribute, control, and monitor power more effectively. In this scenario, new approaches in sensor deployments and new algorithms to analyze the information obtained from them are becoming an essential tool to support the trading, scheduling, and control.

In this sense, in order to face the aforementioned challenges, we are proposing this Special Issue titled “Sensors and Energy Management Applications for the Smart Grid—2nd Edition”. The main goal of this Special Issue is to give academics, researchers, and industry professionals an opportunity to highlight their current work and define future research directions.

Topics that can be addressed include (but are not limited to) the following:

  • Power demand-side management and sensors;
  • Electric vehicles as a sensor in a smart grid;
  • Power demand response and sensors;
  • Energy storage control technology;
  • Virtual power plant operation optimization;
  • Demand-side load forecasting and assessment;
  • Regulated load telemetry control technology;
  • Terminal energy optimization control;
  • Energy internet and power planning;
  • Integrated energy system planning;
  • Energy storage allocation methods;
  • Source-load prediction based on neural networks and AI;
  • Sensors in renewable energy systems;
  • System control and power quality analysis;
  • Design of key equipment/subsystems in a smart grid.

Prof. Dr. Xun Dou
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. Sensors 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

  • IoT
  • smart grid
  • sensing technologies
  • power planning
  • renewable energy systems

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Published Papers (1 paper)

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Research

16 pages, 8189 KiB  
Article
Coordinated Multi-Scenario Optimization Strategy for Park Photovoltaic Storage Based on Master–Slave Game
by Jiang Wang, Jinchen Lan, Lianhui Wang, Yan Lin, Meimei Hao, Yan Zhang, Yang Xiang and Liang Qin
Sensors 2024, 24(15), 5042; https://doi.org/10.3390/s24155042 - 4 Aug 2024
Viewed by 949
Abstract
Optimizing the operation of photovoltaic (PV) storage systems is crucial for meeting the load demands of parks while minimizing curtailment and enhancing economic efficiency. This paper proposes a multi-scenario collaborative optimization strategy for PV storage systems based on a master–slave game model. Three [...] Read more.
Optimizing the operation of photovoltaic (PV) storage systems is crucial for meeting the load demands of parks while minimizing curtailment and enhancing economic efficiency. This paper proposes a multi-scenario collaborative optimization strategy for PV storage systems based on a master–slave game model. Three types of energy storage system (ESS) application scenarios are designed to comprehensively stabilize PV fluctuations, compensate for load transfers, and participate in the frequency regulation (FR) market, thereby optimizing the overall operational strategy of PV storage systems in parks. The upper-level objective is to maximize the park operators’ profit, while the lower-level objective is to minimize the user’s power supply costs. Case studies demonstrate that this strategy can significantly increase the economic benefits for park operators by 25.8%, reduce user electricity expenditures by 5.27%, and lower curtailment through a load response mechanism, thereby promoting the development and construction of PV storage parks. Full article
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