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Open AccessArticle

Coordinated Optimal Operation Method of the Regional Energy Internet

State Key Laboratory of New Energy Power System, North China Electric Power University, Beijing 102206, China
School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071000, Hebei, China
State Grid Zhejiang Electric Power Company, Hangzhou 310007, Zhejiang, China
Author to whom correspondence should be addressed.
Academic Editors: Shuhui Li and Marc A. Rosen
Sustainability 2017, 9(5), 848;
Received: 22 March 2017 / Revised: 27 April 2017 / Accepted: 15 May 2017 / Published: 19 May 2017
(This article belongs to the Special Issue Smart Grid)
The development of the energy internet has become one of the key ways to solve the energy crisis. This paper studies the system architecture, energy flow characteristics and coordinated optimization method of the regional energy internet. Considering the heat-to-electric ratio of a combined cooling, heating and power unit, energy storage life and real-time electricity price, a double-layer optimal scheduling model is proposed, which includes economic and environmental benefit in the upper layer and energy efficiency in the lower layer. A particle swarm optimizer–individual variation ant colony optimization algorithm is used to solve the computational efficiency and accuracy. Through the calculation and simulation of the simulated system, the energy savings, level of environmental protection and economic optimal dispatching scheme are realized. View Full-Text
Keywords: energy internet; coordinated optimal operation; heat-to-electric ratio; energy storage energy internet; coordinated optimal operation; heat-to-electric ratio; energy storage
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MDPI and ACS Style

Long, R.; Liu, J.; Lu, C.; Shi, J.; Zhang, J. Coordinated Optimal Operation Method of the Regional Energy Internet. Sustainability 2017, 9, 848.

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