A robust adaptive load frequency control for micro-grids. (November 2016)

• Record Type: Journal Article
• Authors: Khooban, Mohammad-Hassan; Niknam, Taher; Blaabjerg, Frede; Davari, Pooya; Dragicevic, Tomislav
• Is Part Of: ISA transactions. Volume 65(2016:Nov.)
• Page Start: 220
• Page End: 229
• Publication Date: 2016-11
• Subjects: MG(s) micro-grids -- OGT2FLC optimal General Type-II Fuzzy Logic controller -- HS harmony search -- MHSA Modified Harmony Search Algorithm -- IT2FPI interval type-II fuzzy PI -- EV electric vehicle -- GA genetic algorithm -- PSO particle swarm optimization -- PV photovoltaic -- WT wind turbine -- MPC model predictive control -- V2G vehicle to grid -- BESS battery energy storage system -- FESS flywheel energy storage system -- DMS distribution management system -- DG diesel generator -- LFC load frequency control -- FLC fuzzy logic control -- RESs renewable energy sources -- PHEVs plug-in hybrid electric vehicles -- SOC state of charge -- PMUs phasor measurement units -- FC fuel cell -- MFs membership functions; Adaptive PI control -- General Type II Fuzzy Logic -- Load frequency control (LFC) -- Modified Harmony Search Algorithm (MHSA) -- Micro-grids; Engineering instruments -- Periodicals; Engineering instruments; Periodicals; Electronic journals; 629.805
• DOI: 10.1016/j.isatra.2016.07.002
• Languages: English
• ISSNs: 0019-0578

Abstract

Abstract: The goal of this study is to introduce a novel robust load frequency control (LFC) strategy for micro-grid(s) (MG(s)) in islanded mode operation. Admittedly, power generators in MG(s) cannot supply steady electric power output and sometimes cause unbalance between supply and demand. Battery energy storage system (BESS) is one of the effective solutions to these problems. Due to the high cost of the BESS, a new idea of Vehicle-to-Grid (V2G) is that a battery of Electric-Vehicle (EV) can be applied as a tantamount large-scale BESS in MG(s). As a result, a new robust control strategy for an islanded micro-grid (MG) is introduced that can consider electric vehicles׳ (EV(s)) effect. Moreover, in this paper, a new combination of the General Type II Fuzzy Logic Sets (GT2FLS) and the Modified Harmony Search Algorithm (MHSA) technique is applied for adaptive tuning of proportional-integral (PI) controller. Implementing General Type II Fuzzy Systems is computationally expensive. However, using a recently introduced α -plane representation, GT2FLS can be seen as a composition of several Interval Type II Fuzzy Logic Systems (IT2FLS) with a corresponding level of α for each. Real-data from an offshore wind farm in Sweden and solar radiation data in Aberdeen (United Kingdom) was used in order to examine the performance of the proposed novel controller. A comparison is made between the achieved results of Optimal Fuzzy-PI (OFPI) controller and those of Optimal Interval Type II Fuzzy-PI (IT2FPI) controller, which are of most recent advances in the area at hand. The Simulation results prove the successfulness and effectiveness of the proposed controller. Highlights: A LFC model of an isolated micro-grid with EVs, distributed generations and their constraints is developed. A new adaptive PI controller based on General Type-II Fuzzy Logic is presented. The proposed method guaranties stability and robustness. This novel technique is computationally simple and has not any complexity. The proposed controller can be used in different configurations of MG(s).