Game‐theoretic demand‐side management and closed‐loop control for a class of networked smart grid-Reference-Cited by-同舟云学术

Game‐theoretic demand‐side management and closed‐loop control for a class of networked smart grid

Published:2017-09 Issue:13 Volume:11 Page:2170-2176
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Zhu Bing¹²,Xia Kewei¹²,Xia Xiaohua³

Affiliation:

1. The Seventh Research DivisionSchool of Automation Science and Electrical Engineering, Beihang UniversityBeijing100191People's Republic of China

2. Science and Technology on Aircraft Control Laboratory, Beihang UniversityBeijing100191People's Republic of China

3. Department of Electrical, Electronic and Computer EngineeringUniversity of PretoriaPretoria0028South Africa

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2016.1606

Reference29 articles.

1. Multi-objective dynamic economic emission dispatch of electric power generation integrated with game theory based demand response programs

2. A model predictive control approach to the periodic implementation of the solutions of the optimal dynamic resource allocation problem

3. Load Shaping Strategy Based on Energy Storage and Dynamic Pricing in Smart Grid

4. UDP: Usage-Based Dynamic Pricing With Privacy Preservation for Smart Grid

5. Switched model predictive control for energy dispatching of a photovoltaic‐diesel‐battery hybrid power system;Zhu B.;IEEE Trans. Control Syst. Technol.,2015

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Game-Theoretic Demand-Side Management and Robust Optimal Control for a Class of Networked Smart Grid;2024 IEEE 18th International Conference on Control & Automation (ICCA);2024-06-18

2. Modeling and optimization of networked evolutionary game based on incomplete information with switched topologies;IET Control Theory & Applications;2024-04-09

3. The Demand-Side Management and Control of Smart Grids Based on Weighted Network Congestion Games;IEEE Transactions on Automation Science and Engineering;2024

4. Velocity-Free Distributed Robust Nash Equilibrium Seeking By An Uncertainty and Disturbance Estimator Based Algorithm;IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society;2022-10-17

5. Intermittent control for demand‐side management of a class of networked smart grids;IET Control Theory & Applications;2019-04-24