Demand Response Optimization Strategy for Multi-Level Intelligent Regulation under the Power Internet of Things-Reference-Cited by-同舟云学术

Demand Response Optimization Strategy for Multi-Level Intelligent Regulation under the Power Internet of Things

Published:2022-12-28 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)
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Author:

Hu Yingying¹,Wang Yao¹,Li Qiang¹

Affiliation:

1. Economics and Technology Institute, State Grid Shanxi Electric Power Company,Taiyuan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10059457/10059586/10059672.pdf?arnumber=10059672

Reference10 articles.

1. Research and application of incentive power demand response mechanism in Anhui Province Based on demand side bidding;hao;Demand Side Mgt,2021

2. Coordinated scheduling strategy of electric vehicles for peak shaving considering V2G price incentive;wang;Elect Power Autom Equipment,2022

3. RealTime Pricing Considering Demand Response Revenue of Electricity Sellers;zhang;Power Syst Technol,2022

4. Multi-energy cooperative optimization scheduling of integrated energy system considering integrated demand response;sheng;Elect Power Autom Equipment,2021

5. Demand response resource integration method and operation mechanism based on load aggregator business;gao;Automation of Electronic Power Systems,2013

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