An Optimal and Distributed Demand Response Strategy for Energy Internet Management
AbstractThis 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. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Liu, Q.; Wang, R.; Zhang, Y.; Wu, G.; Shi, J. An Optimal and Distributed Demand Response Strategy for Energy Internet Management. Energies 2018, 11, 215.
Liu Q, Wang R, Zhang Y, Wu G, Shi J. An Optimal and Distributed Demand Response Strategy for Energy Internet Management. Energies. 2018; 11(1):215.Chicago/Turabian Style
Liu, Qian; Wang, Rui; Zhang, Yan; Wu, Guohua; Shi, Jianmai. 2018. "An Optimal and Distributed Demand Response Strategy for Energy Internet Management." Energies 11, no. 1: 215.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.