A novel Set PointWeighting Iterative Learning Controller (SPW-ILC) has been
proposed for voltage stabilization at AC/DC bus, coordinated control among the
distributed sources in the modeled hybrid microgrid (HMG) and synchronization of
HMG with utility grid. The Aichi Micro grid test system located at Aichi Institute
of Technology, Japan has been considered for the simulation studies and modeled
in MATLAB/Simulink environment. The Aichi microgrid can be operated in
autonomous mode as AC system and DC system. When it is working as DC system,
the dc bus voltage is maintained stable by incorporating dedicated fuzzy logic
controllers (FLC) for DC-DC converters due to the variable distributed sources.
Meanwhile, the bidirectional converter also called as Interlinking Converter (IC)
located between ac bus and dc bus controlled by proposed SPW-ILC converts the
DC voltage into AC voltage and meets AC loads. In AC system of autonomous
mode, the inverters are controlled by proposed controller to meet the ac demands.
The grid connected mode of Aichi microgrid system is performed by properly
controlling the IC to meet ac and dc loads. The proposed SPW-ILC reduces the
voltage deviation and maintains the power balance under variable source and load
conditions. The results have been compared with the conventional proportional
integral (PI) controller and FLC to validate the performance of the controller. The
results show that the proposed SPW-ILC has efficiently control the voltage and
maintain the power balance.

제 1편 : SIMULINK 기본편

1.1 SIMULINK의 시작 1
블록의 연결 5
블록 파라미터의 설정 7
시뮬레이션 파라미터 (Configuration Parameters)의 설정 8
시뮬레이션의 수행 9
블록 파라미터의 표시 9
복수 데이터의 표시 11
2.2 동적 시뮬레이션 13
이차 미분방정식 17
선형 상태변수 모델 23
DC 모터의 시뮬레이션 24
함수 블록의 사용 29
차분방정식(difference equation)의 모델링 34
Subsystem(부시스템)의 구성 37

제 2편 : 연구논문

1. Introduction 41
2. Formation of Micro Grid 44
3. Iterative Learning Controller 47
4. Implementation of SPW-ILC in Micro Grid 51
5. Results and Discussion 54
6. Conclusions 60
7. References 61