DocumentCode :
140409
Title :
Dynamic power provisioning for cost minimization in islanding micro-grid with renewable energy
Author :
Shuben Zhang ; Jian Yang ; Xiaomin Wu ; Ruiyi Zhu
Author_Institution :
Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei, China
fYear :
2014
fDate :
19-22 Feb. 2014
Firstpage :
1
Lastpage :
5
Abstract :
Driven by global warming suppression and depletion of fossil fuel resource, micro-grid (MG) especially the one with renewable sources such as solar photovoltaic (PV) and wind generations (WG) are getting attention in power systems. Nevertheless, due to the unpredictability and fluctuation of the energy generated by renewable energy resources, it is hard to adapt to the change of the consumers´ electricity energy demand. Thus, the micro-grid combining the renewable generators and conventional diesel generators will be more reliable to satisfy consumers´ load demand, and the diesel power generation can supplement the lack of renewable power output. However, the use of diesel generators to provide electricity energy is an expensive and environmentally unfriendly way, and dynamically adjusting the diesel energy generation may reduce the fuel cost in micro-grid system. Therefore, this paper considers the problem of dynamic diesel generators reconfiguration for an intelligent hybrid energy micro-grid system which integrates wind generators, solar photovoltaic panels and diesel generators. We conceive a strategy for adjusting the number of the active diesel generators dynamically in order to minimize the total fuel cost while keeping a given quality-of-service (QoS) in terms of shortage probability. By applying the Hoeffding Theorem, we propose a dynamic diesel generators reconfiguration algorithm which is capable of calculating the minimum number of active diesel generators subject to the shortage probability below a desired threshold. Finally, the simulation results show the reduction of the fuel cost.
Keywords :
costing; diesel-electric generators; distributed power generation; hybrid power systems; minimisation; power generation economics; probability; quality of service; renewable energy sources; solar cells; solar power stations; wind power plants; Hoeffding theorem; QoS; WG; cost minimization; diesel energy generation; diesel generators; diesel power generation; dynamic power provisioning; electricity energy demand; fossil fuel resource; fuel cost; global warming suppression; hybrid energy microgrid system; islanding microgrid; power systems; quality-of-service; renewable energy resources; renewable generators; renewable power output; shortage probability; solar photovoltaic panels; wind generations; wind generators; Fuels; Generators; Heuristic algorithms; Power demand; Quality of service; Renewable energy sources; Throughput; Costs; Diesel generator; Hoeffding Theorem; Hybrid power systems; Microgrids; Power supplier; Quality of service; Renewable energy sources; Smart grids; Wind energy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies Conference (ISGT), 2014 IEEE PES
Conference_Location :
Washington, DC
Type :
conf
DOI :
10.1109/ISGT.2014.6816422
Filename :
6816422
Link To Document :
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