Contents & References of Network reactive power planning considering load uncertainty using an evolutionary method
List:
Abstract:.. 1
Chapter 1.. 2
1-1 Introduction.. 2
1-2 Topic plan.. 3
1-3 Report structure.. 3
Chapter 2 reactive power, supply equipment and its planning. 5
2-1 General definition of reactive power.. 5
2-2 Reactive power generation devices.. 5
2-2-1 Synchronous generators.. 6
2-2-2 Synchronous condensers.. 6
2-2-3 Synchronous motors.. 6
2-2-4 Capacitor.. 6
2-2-5 Place of installation of capacitor.. 10
2-2-6 Condensing to reduce losses.. 11
2-3 Reasons for intensifying the need for capacitors in Iranian networks. 12
2-4 Background of reactive power planning. 13
2-5 methods used to solve the reactive power planning problem. 19
2-5-1 Analytical methods (AM).. 20
2-5-2 Numerical programming methods (NP) (AI).. 22
6-2 A brief description of some algorithms based on artificial intelligence (AI). 24 2-6-1 Algorithm (PSO) Leaping.. 28
2-6-2-5 Decoding.. 28
2-7 Training-learning based optimization algorithm (TLBO). 29
2-7-1 Teacher phase.. 29
2-7-2 Learner phase.. 30
2-8 Classification of presented works.. 30
The third chapter of PSO algorithm.. 33
3-1 Overview of PSO algorithm.. 33
3-2 Types of particle topology.. 34
3-2-1 star topology.. 34
3-2-2 ring topology.. 34
3-2-3 wheel topology.. 35
3-3 process of PSO algorithm.. 35
3-4 steps of PSO algorithm implementation.. 37
3-5 checking the effects of parameters PSO.. 38
3-5-1 Acceleration constants.. 38
3-5-2 Number of particles.. 38
3-5-3 Maximum speed.. 39
3-5-4 Inertia weight.. 39
Chapter four.. 41
4-1 Introduction.. 41
4-2 Performance framework of beneficial owner in capacitor planning problem. 41
4-3 scenario reduction.. 46
4-4 scenario reduction regression algorithm.. 48
4-5-Mathematical formulation of the problem of stochastic planning of capacitors. 49
4-6 analytical studies.. 58
Chapter five:.. 85
5-1 conclusion.. 85
5-2 suggestions.. 87
English sources.. 88
English summary.. 94
Source:
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