Mastering Energy And Power System Optimization In Gams

Online guide on how to learn GAMS like a Pro. Complete Practical Examples, take your GAMS skills to the next level now!

What you'll learn
How to mathematically formulate your problems in GAMS?
How to start coding in GAMS?
Solve Optimal AC/DC power flow
Model Energy Storage in GAMS
How to formulate and implement the demand response in GAMS?
How to fix your GAMS code ?
is Multi-Objective Optimization covered in this course ? YES
PMU allocation is implemented in GAMS
How to model and implement Unit commitment ?
How to formulate the environmental constraints in energy problems ?
Build a complete understanding of GAMS from the ground up!
Learn advanced GAMS features, like conditional statements, options, reporting
How to turn optimization skills to income for yourself ?
Requirements
No extensive prior knowledge of GAMS is required
A desire to learn new concepts like GAMS coding
A passion for decision making and optimisation
A laptop or PC to run your code.
No need to have a full GAMS licence to run your codes
Description
**Brand New For  2022 - The Bestselling Power system optimization GAMS Course on Udemy**Join over 27,000 of your fellow optimization experts in the energy and power system industry in learning the fundamentals of the power system and energy optimization.I will walk you through every step of GAMS coding with real-life case studies, actual experiments, and tons of examples from around different disciplines. By the end of this course, you'll be able to:Code your own optimization problem in GAMS.Receive your official certificate The developed course is suitable for you even if you have no background in the power systems.In this Energy and Power System Optimization in GAMS course you will learn:How to formulate your problem and implement it in GAMS and make optimal decisions in your real-life problemsHow to code efficiently, get familiarised with the techniques that will make your code scalable for large problemsHow to design an action block with a clearly defined conversion goalHow to run sensitivity analysis in GAMS to predict the outcome of a decision if a situation turns out to be different compared to the key predictions.For your convenience the course is broken into two sections :General GAMS coding (Pure GAMS, elements, loops, multi-objectives, conditional statements, Examples)Power system GAMS coding (Static/dynamic economic/environmental dispatch, AC/DC OPF, Storage, DR, PMU, …)………. and much, much more! By finishing this course, you will have the power to transform your coding skills into a powerful decision making machine. .If you think this GAMS coding is complicated, it's not.If you think GAMS coding is time-taking, it's not.If you think watching this course won't make a difference in your professional career … think again.I've consulted with several companies and researchers around the world and have consulted them on how to use optimization techniques in their business. Trust me, I learned all this the hard way.Along with the video content of the course, there are many extra.Extra:Downloadable resources and guidesAn audio version of the course to listen on the goQ&A videos the answer your specific questionsAssignments that make you productive while taking the courseAn instructor who truly cares about your successThis is the course on landing page design I wish I had when I was first starting out!We'll be here for you every step of the way. If you have any questions about the course content or anything related to this topic, you can always post a question in the course or send me a direct message.We want to make this the best course on how to use GAMS. So if there is any way we can improve this course, just tell us and we'll make it happen.Enrol today and enjoy:Lifetime access to the course and all future updatesOver 5 hours of high quality, up to date video lecturesExercises and feedbackAccess to the student-only discussion forum30 day, no questions asked, money-back guarantee4.7 average student ratingWith our 30-day 100% money-back guarantee, there's no reason to hesitate.I'll give you two more reasons why you should enrol right this second:Your investment in this course will quickly be paid back even just by implementing some of the techniques I share with you. There are hundreds of gold nuggets to choose from, making this course the best investment in your own education and future success.While today is still the best day you can get started with GAMS coding, it will get harder for engineers as the markets get more and more competitive. You want to start as soon as you can (like now) to take advantage of this growing market. Instead of struggling and trying to do everything yourself, just learn from someone who has already figured it out.I CAN'T WAIT TO SEE YOUR SUCCESSSee you inside!

Overview

Section 1: Section 0

Lecture 1 Pre-Class note (Read before you start)

Section 2: Introduction (GAMS elements)

Lecture 2 Optimal Decision Making

Lecture 3 GAMS installation on Windows Machines

Lecture 4 GAMS structure

Lecture 5 Sets in GAMS

Lecture 6 Scalars in GAMS

Lecture 7 Parameters in GAMS

Lecture 8 Table in GAMS

Lecture 9 Variables in GAMS

Lecture 10 Equations in GAMS

Lecture 11 Model definition in GAMS

Lecture 12 Solver selection in GAMS

Lecture 13 Simple LP programming

Lecture 14 Duality Theorem in LP

Lecture 15 Mixed integer quadratic programming

Lecture 16 Conditional statements in GAMS

Lecture 17 LOOP in GAMS

Lecture 18 Multiobjective Optimisation in GAMS

Section 3: General examples in GAMS

Lecture 19 In a given circle find a rectangle of maximal area.

Lecture 20 Cylinder in a Sphere

Lecture 21 Travel time minimisation

Lecture 22 Herons Problem

Lecture 23 Steiner problem

Lecture 24 Shortest path via LP

Lecture 25 Traveling Sales Person (TSP)

Lecture 26 Modeling the Game 'Clash of clans' as a mixed integer linear programming

Section 4: Power system optimization

Lecture 27 Power system optimisation library

Lecture 28 Economic Dispatch problem modelling in GAMS

Lecture 29 Dynamic Economic Dispatch

Lecture 30 Dynamic Economic Dispatch with Storage

Lecture 31 DC-OPF

Lecture 32 AC-OPF

Lecture 33 Locational Marginal Price (LMP)

Lecture 34 Security Constrained DC-OPF (N-1)

Lecture 35 Unit commitment

Lecture 36 PMU allocation

Section 5: Quizes

Lecture 37 Bonus lecture

Anyone who needs to make some sort of decisions,Any discipline that requires optimization and decision making,Power system academics or industry experts,Beginner students in power system operation and planning,PhD/MSc students in power system operation and planning,PhD/MSc students in energy systems,Power system utility R&D staffs,Entrepreneurs,Business Owners involved in Energy industry