A new load frequency control strategy for micro-grids with considering electrical vehicles

被引:181
作者
Khooban, Mohammad Hassan [1 ,2 ]
Niknam, Taher [1 ]
Blaabjerg, Frede [2 ]
Dragievic, Tomislav [2 ]
机构
[1] Shiraz Univ Technol, Dept Elect Engn, Shiraz, Iran
[2] Aalborg Univ, Dept Energy Technol, DK-9220 Aalborg, Denmark
基金
美国国家科学基金会;
关键词
Adaptive PI control; General type II fuzzy logic; Load frequency control; Modified Harmony Search Algorithm; MicroGrids; HARMONY SEARCH ALGORITHM; TYPE-2; FUZZY-SETS; SYSTEMS;
D O I
10.1016/j.epsr.2016.10.057
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Owing to the intermittent nature of the renewable energies employed in smart grids, large frequency fluctuations occur when the load frequency control (LFC) capacity is not enough to compensate for the imbalance of generation and demand. This problem may become intensified when the system is working in an island operation mode. Meanwhile, electric vehicles (EVs) are growing in popularity, being used as dispersed energy storage units instead of small batteries in the systems. Accordingly, the vehicle-to-grid (V2G) power control can be applied to compensate for the inadequate LFC capacity and thereby to improve the frequency stability of smart grids, especially in the island operation mode. On the other hand, large scale and complex power systems encounter many different uncertainties. In order to handle these uncertainties, this study proposes a combination of the general type-2 fuzzy logic sets (GT2FLS) and the Modified Harmony Search Algorithm (MHSA) technique, as a novel heuristic algorithm, to adaptively tune the proportional-integral (PI) controller for LFC in islanded MicroGrids (MGs). Although implementing general type-2 fuzzy systems is generally computationally cumbersome, by using a recently introduced plane representation, GT2FLS can be regarded as a combination of several interval type-2 fuzzy logic systems (IT2FLS), each with its own corresponding alpha level and linguistic rules can directly be incorporated into the controller. This paper further presents a new modified optimization algorithm to tune the scaling factors and the membership functions of general type-2 fuzzy PI (GT2FPI) controller and thereby to minimize the frequency deviations of the MG system against load disturbances more effectively. To evaluate the efficiency of the proposed controller, the obtained results are compared with those of the proportional integral derivative (PID), Fuzzy-PID (FPID), and Interval Type II fuzzy based PI (IT2FPI) controllers, which are the most recent methods applied in this respect. Simulation results demonstrate the perfection and efficacy of proposed controller. (C) 2016 Published by Elsevier B.V.
引用
收藏
页码:585 / 598
页数:14
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