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Energies 2018, 11(1), 215; https://doi.org/10.3390/en11010215

An Optimal and Distributed Demand Response Strategy for Energy Internet Management

1
North China Institute of Aerospace Engineering, Langfang 065000, China
2
College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
*
Author to whom correspondence should be addressed.
Received: 7 December 2017 / Revised: 3 January 2018 / Accepted: 9 January 2018 / Published: 16 January 2018
(This article belongs to the Section Electrical Power and Energy System)
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Abstract

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. View Full-Text
Keywords: microgrids; smart grid; games theory; demand and response strategy; mixed integer quadratic programming; distributed optimization microgrids; smart grid; games theory; demand and response strategy; mixed integer quadratic programming; distributed optimization
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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.

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