Treffer: An Optimal and Distributed Demand Response Strategy for Energy Internet Management

Title:
An Optimal and Distributed Demand Response Strategy for Energy Internet Management
Authors:
Qian Liu, Rui Wang, Yan Zhang, Guohua Wu, Jianmai Shi
Source:
Energies, Vol 11, Iss 1, p 215 (2018)
Publisher Information:
MDPI AG
Publication Year:
2018
Collection:
Directory of Open Access Journals: DOAJ Articles
Subject Terms:
microgrids, smart grid, games theory, demand and response strategy, mixed integer quadratic programming, distributed optimization, Technology
Document Type:
Fachzeitschrift article in journal/newspaper
Language:
English
Relation:
http://www.mdpi.com/1996-1073/11/1/215; https://doaj.org/toc/1996-1073; https://doaj.org/article/68e049aff2c0432f835d781169fa211a
DOI:
10.3390/en11010215
Availability:
https://doi.org/10.3390/en11010215
https://doaj.org/article/68e049aff2c0432f835d781169fa211a
Accession Number:
edsbas.7640BABC
Database:
BASE

Weitere Informationen

This study proposes a new model of demand response management for a future smart grid that consists of smart microgrids. The microgrids have energy storage units, responsive loads, controllable distributed generation units, and renewable energy resources. They can buy energy from the utility company when the power generation in themselves cannot satisfy the load demand, and sell extra power generation to the utility company. The goal is to optimize the operation schedule of microgrids to minimize the microgrids’ payments and the utility company’s operation cost. A parallel distributed optimization algorithm based on games theory is developed to solve the optimization problem, in which microgrids only need to send their aggregated purchasing/selling energy to the utility company, thus avoid infringing its privacy. Microgrids can update their operation schedule simultaneously. A case study is implemented, and the simulation results show that the proposed method is effective and efficient.