Optimal operation and control of smart energy systems-Reference-Cited by-同舟云学术

Optimal operation and control of smart energy systems

Published:2023-10 Issue:10 Volume:5 Page:
ISSN:2577-8196
Container-title:Engineering Reports
language:en
Short-container-title:Engineering Reports

Author:

Hui Hongxun¹²^ORCID,Chen Tao³,Wang Han⁴,Wang Sheng¹²

Affiliation:

1. State Key Laboratory of Internet of Things for Smart City University of Macau Macao China

2. Department of Electrical and Computer Engineering University of Macau Macao China

3. School of Electrical Engineering Southeast University Nanjing China

4. Department of Electrical Engineering Shanghai Jiao Tong University Shanghai China

Abstract

AbstractThis editorial provides a summary of the topics and papers selected for the Special Issue on “optimal operation and control of smart energy systems”. After undergoing a rigorous review process, 10 papers have been accepted for publication. These papers cover various aspects of smart energy systems and are distributed as follows: control strategy of distributed resources (two papers), optimal operation of energy systems under uncertainties (three papers), defect detection and risk evaluation of energy systems (two papers), low‐carbon economical energy systems (three papers). The Guest Editorial Board hopes this Special Issue can provide valuable information for future research and advancements in the field of optimal operation and control of smart energy systems.

Publisher

Wiley

Subject

General Engineering,General Computer Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/eng2.12790

Reference10 articles.

1. Distributed event‐triggered secondary control for microgrids applicable to directed communication graph

2. Active power control strategy based on characteristic curve fitting for photovoltaic sources

3. Wasserstein‐metric‐based distributionally robust optimization method for unit commitment considering wind turbine uncertainty

4. Two‐level scheduling of an active power distribution network by considering demand response program and uncertainties

5. A multi‐objective optimization approach to designing window and shading systems considering building energy consumption and occupant comfort