Energy and Power System Optimization in GAMS (All levels)

[G_P2018]

[center][/center]
[center]Energy and Power System Optimization in GAMS (All levels)[/center]


General:

What you'll learn

GAMS installation
Model any kind of optimisation (LP, NLP, MILP, MINLP)
Multi-Objective Optimization
Solve Economic dispatch problem
Solve Dynamic Economic dispatch problem
Solve Dynamic Economic dispatch scheduling and Energy storage systems problem
Solve Optimal DC power flow problem
Solve Optimal AC power flow problem
Optimal PMU allocation

Requirements

Familier with mathematical modeling
You don't need to have extensive knowledge of programming
We will teach you what you need

Description

The developed course is suitable for you even if you have no background in power system. The first part of the course is devoted to general optimization problems in GAMS.

General GAMS coding

In this course you will learn how to use GAMS for solving power system optimization problems.

First of all you will learn how to install GAMS on your machine.

What is optimization ? What is the objective function ? What is the constraint ?

You understand the meaning of different errors and the way you should debug them

How to read/write from/to an Excel file

Multi-Objective optimization in GAMS

Conditional statements

Loop expressions

Power system GAMS coding

This formulation optimizes the schedule of thermal units to economically meet the demand for a specific time period. The input-output as well as the constraints are explained. In this course you will learn how to use GAMS for solving

Economic dispatch problem

Dynamic economic dispatch

DC Optimal power flow (OPF)

Security Constrained DC-OPF

Energy storage systems scheduling

PMU allocation

Who this course is for:

Any discipline that requires optimization and decision making
Power system academics or industry people
Beginner students in power system operation and planning
PhD/MSc students in power system operation and planning
PhD/MSc students in energy system optimisation
Power system utility researcher

Video:

Width: 1280 pixels
Height: 720 pixels
Format: AVC
Codec: AVC
Duration: 00:04:56
Bit rate: 1145 Kbps
Frame rate: 30.000 fps
Aspect ratio: 16:9
Bit depth: 8 bits
Color space: YUV
Subtitles: N/A

Audio:

Audio track: 1
Language: N/A
Codec: AAC LC
Channels: 2
Bit rate: 128 Kbps
Compression: Lossy
Sampling rate: 44 Khz

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