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Appl. Sci. 2018, 8(9), 1520; https://doi.org/10.3390/app8091520

Energy Storage Coordination in Energy Internet Based on Multi-Agent Particle Swarm Optimization

1,2
,
1,2,* , 1,2
and
1,2
1
School of Economics and Management, North China Electric Power University, Hui Long Guan, Chang Ping District, Beijing 102206, China
2
Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Hui Long Guan, Chang Ping District, Beijing 102206, China
*
Author to whom correspondence should be addressed.
Received: 10 August 2018 / Revised: 26 August 2018 / Accepted: 29 August 2018 / Published: 1 September 2018
(This article belongs to the Special Issue Hybrid Energy Storage Systems)
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Abstract

With the rapid development of energy Internet (EI), energy storage (ES), which is the key technology of EI, has attracted widespread attention. EI is composed of multiple energy networks that provide energy support for each other, so it has a great demand for diverse energy storages (ESs). All of this may result in energy redundancy throughout the whole EI system. Hence, coordinating ESs among various energy networks is of great importance. First of all, we put forward the necessity and principles of energy storage coordination (ESC) in EI. Then, the ESC model is constructed with the aim of economic efficiency (EE) and energy utilization efficiency (EUE) respectively. Finally, a multi-agent particle swarm optimization (MAPSO) algorithm is proposed to solve this problem. The calculation results are compared with that of PSO, and results show that MAPSO has good convergence and computational accuracy. In addition, the simulation results prove that EE plays the most important role when coordinating various ESs in EI, and an ES configuration with the multi-objective optimization of EE and EUE is concluded at last. View Full-Text
Keywords: energy Internet (EI); energy storage (ES); coordination; multi-agent Particle Swarm Optimization (MAPSO) energy Internet (EI); energy storage (ES); coordination; multi-agent Particle Swarm Optimization (MAPSO)
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Liu, J.; He, D.; Wei, Q.; Yan, S. Energy Storage Coordination in Energy Internet Based on Multi-Agent Particle Swarm Optimization. Appl. Sci. 2018, 8, 1520.

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