Particle Swarm Optimization (PSO) is widely used in maximum power point
tracking (MPPT) of photovoltaic (PV) energy systems. Nevertheless, this technique
suffers from two main problems in the case of partial shading conditions (PSCs).
The first problem is that PSO is a time invariant optimization technique that
cannot follow the dynamic global peak (GP) under time variant shading patterns
(SPs) and sticks to the first GP that occurs at the beginning. This problem can be
solved by dispersing the PSO particles using two new techniques introduced in this
paper. The two new proposed PSO re-initialization techniques are to disperse the
particles upon the SP changes and the other one is upon a predefined time (PDT).
The second problem is regarding the high oscillations around steady state, which
can be solved by using fuzzy logic controller (FLC) to fine-tune the output power
and voltage from the PV system. The new contribution of this paper is the hybrid
PSO-FLC with two PSO particles dispersing techniques that is able to solve the
two previous mentioned problems effectively and improve the performance of the
PV system in both normal and PSCs. A detailed list of comparisons between hybrid
PSO-FLC and original PSO using the two proposed methodologies are achieved.
The results prove the superior performance of hybrid PSO-FLC compared to PSO
in terms of efficiency, accuracy, oscillations reduction around steady state and soft
tuning of the GP tracked.

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
Hybrid PSO-FLC for dynamic global peak extraction of the partially
shaded photovoltaic system
1. Introduction 41
2. Modelling of the photovoltaic system under PSC 42
3. Proposed hybrid PSO-FLC technique for dynamic global peak
extraction 44
4. PSO-FLC re-initialization upon predefined time 49
5. Simulation results and discussion 49
6. PSO-FLC without re-initialization 53
7. Conclusions 53
8. References 55