Title :
Fuzzy Control of Distributed PV Inverters/Energy Storage Systems/Electric Vehicles for Frequency Regulation in a Large Power System
Author :
Datta, Manoj ; Senjyu, Tomonobu
Author_Institution :
Fac. of Eng., Gifu Univ., Gifu, Japan
Abstract :
This paper presents a fuzzy based frequency control strategy by the Megawatt (MW) class distributed PV systems and electric vehicles (EVs). The frequency control is proposed from the view point of the frequency fluctuation problem produced by the large penetration of PV power and sudden load variation. The fuzzy based frequency control has three inputs: average insolation, change of insolation and frequency deviation. Following these three inputs, a frequency control system for the distributed PV inverters is proposed. For the case of different insolations in the different areas of the power system, a coordinated control method of the distributed PV inverters, energy storage systems (ESSs) and EVs is presented. The proposed method is simulated by considering dual power and information flows between supply and demand sides in a large power system and is found satisfactory to provide frequency control and to reduce tie-line power fluctuations.
Keywords :
distributed power generation; electric vehicles; energy storage; frequency control; fuzzy control; invertors; photovoltaic power systems; power system control; supply and demand; ESS; MW class EV; Megawatt class-distributed PV systems; PV power penetration; average insolation; coordinated control method; distributed PV inverters; electric vehicles; energy storage systems; frequency deviation; frequency fluctuation problem; frequency regulation; fuzzy-based frequency control strategy; insolation change; large-power system; load variation; supply and demand sides; tie-line power fluctuation reduction; Batteries; Frequency control; Fuzzy control; Inverters; Load modeling; Mathematical model; Power generation; ESSs; EVs; Fuzzy control; MW-class PV generation; frequency deviations; tie-line power fluctuations;
Journal_Title :
Smart Grid, IEEE Transactions on
DOI :
10.1109/TSG.2012.2237044