**Design:1 **IEEE 30 Bus System with Multi FACTS(SVC, TCSC, UPFC) location with TLBO Optimization Algorithm and Mono Carlo simulation(MCS) Power Flow Method

**Design:2** IEEE 30 Bus System with Multi FACTS (SVC, TCSC, UPFC) location with TLBO Optimization Algorithm and POPF Power Flow Method using 2 PEM

**Design Key Points**

• Variable reactant model of FACTS devices used in the program

• Wind farm bus connection used in design which includes correlation load

• The location of FACTS used in the design is variable in TLBO

• Model of FACTS used for each device in power flow power loss minimize

• Design based on 2PEM-OPF, MCS-OPF method

• Random values are generated based Weibull distribution and normal distribution

• Monte Carlo simulation, values are sampled at random from the input probability distributions.

• Each set of samples is called an iteration, and the resulting outcome from that sample is recorded.

• Monte Carlo simulation does this hundred or thousands of times, and the result is a probability distribution of possible outcomes.

• The 2PEM method based on Hong’s 2-point estimate process

• Randomly generate initial value (example 10000 values) based on distribution from this initial find 2 best values using the 2PEM method

• Look the chapter 4.2, 4.31.,4.3.2 for more details about the design from the reference paper-1.

**Reference-1: **Probabilistic optimal power flow for power systems considering wind uncertainty and load correlation

**Author’s Name:** Xue Li, Jia Cao, Dajun Du

**Source:** 2014 Elsevier-Neurocomputing

**Year:**2014

**Reference-2:** Optimal distributed generation placement under uncertainties based on point estimate method embedded the genetic algorithm

**Author’s Name:** Vasileios A. Evangelopoulos, Pavlos S. Georgilakis

**Source:** IET Generation, Transmission & Distribution

**Year:**2013

**Reference-3:** Optimal flexible alternating current transmission system device allocation under system fluctuations due to demand and renewable generation

**Author’s Name:** S.J. Galloway, I.M. Elders, G.M. Burt, B. Sookananta

**Source: **IET Generation, Transmission & Distribution

**Year:**2009

**Reference-4:** Probabilistic Load Flow Considering Wind Generation Uncertainty

**Author’s Name:** Morteza Aien,Reza Ramezani, and S. Mohsen Ghavami

**Source:** ETASR - Engineering, Technology & Applied Science

**Year**:2011

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