Virtual power plants and electricity markets : decision making under uncertainty

Virtual power plants and electricity markets : decision making under uncertainty / Luis Baringo, Morteza Rahimiyan.

This textbook provides a detailed analysis of operation and planning problems faced by virtual power plants participating in different electricity markets. The chapters address in-depth, topics such as: optimization, market power, expansion, and modelling uncertainty in operation and planning proble...

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Bibliographic Details
Main Authors: Baringo, Luis (Author), Rahimiyan, Morteza (Author)
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, 2020.
Subjects:
Electric power-plants > Decision making.
Electric power-plants > Management.
Electric utilities > Management.
Electric utilities > Decision making.
Alternative & renewable energy sources & technology.
Energy technology & engineering.
Operational research.
Electrical engineering.
Technology & Engineering > Power Resources > Alternative & Renewable.
Technology & Engineering > Power Resources > General.
Business & Economics > Operations Research.
Technology & Engineering > Machinery.
Electric power-plants > Management
Electric utilities > Decision making
Electric utilities > Management
Electronic books.
Online Access:Click for online access
Table of Contents:
  • Intro
  • Preface
  • Contents
  • 1 Virtual Power Plants
  • 1.1 Background
  • 1.2 Overview of Electricity Markets
  • 1.3 Virtual Power Plants and Smart Grids
  • 1.4 Decision Making Under Uncertainty
  • 1.4.1 Stochastic Programming
  • 1.4.2 Robust Optimization
  • 1.5 Operation and Expansion Strategies for Virtual Power Plants
  • 1.5.1 Operation Strategies
  • 1.5.2 Expansion Planning Strategies
  • 1.6 Scope of the Book
  • References
  • 2 Virtual Power Plant Model
  • 2.1 Introduction
  • 2.2 Notation
  • 2.2.1 Indexes
  • 2.2.2 Sets
  • 2.2.3 Parameters
  • 2.2.4 Variables
  • 2.3 Demands
  • 2.4 Conventional Power Plants
  • 2.5 Stochastic Renewable Production Facilities
  • 2.6 Energy Storage Units
  • 2.7 Network
  • 2.8 Smart Grid Technology
  • 2.9 Summary and Further Reading
  • 2.10 GAMS Codes
  • 2.10.1 Flexible Demand
  • 2.10.2 Conventional Power Plant
  • 2.10.3 Stochastic Renewable and Storage Units
  • 2.10.4 Network Constraints
  • References
  • 3 Optimal Scheduling of a Risk-Neutral Virtual Power Plant in Energy Markets
  • 3.1 Introduction
  • 3.2 Problem Description
  • 3.2.1 Notation
  • 3.2.1.1 Indexes
  • 3.2.1.2 Sets
  • 3.2.1.3 Parameters
  • 3.2.1.4 Variables
  • 3.2.2 Scheduling Problem
  • 3.2.3 Decision and Information Flow
  • 3.3 Deterministic Approach
  • 3.3.1 Deterministic Scheduling in the Day-Ahead Energy Market
  • 3.3.2 Deterministic Scheduling in the Real-Time Energy Market
  • 3.4 Stochastic Programming Approach
  • 3.4.1 Uncertainty Model
  • 3.4.2 Stochastic Scheduling in the Day-Ahead Energy Market
  • 3.4.3 Stochastic Scheduling in the Real-Time Energy Market
  • 3.5 Participation of Virtual Power Plants in Futures Markets
  • 3.6 Summary and Further Reading
  • 3.7 GAMS Codes
  • 3.7.1 Deterministic Scheduling in the Day-Ahead Energy Market
  • 3.7.2 Deterministic Scheduling in the Real-Time Energy Market
  • 3.7.3 Stochastic Scheduling in the Day-Ahead Energy Market
  • 3.7.4 Stochastic Scheduling in the Real-Time Energy Market
  • References
  • 4 Optimal Scheduling of a Risk-Averse Virtual Power Plant in Energy Markets
  • 4.1 Introduction
  • 4.2 Notation
  • 4.2.1 Indexes
  • 4.2.2 Sets
  • 4.2.3 Parameters
  • 4.2.4 Variables
  • 4.3 Stochastic Programming Approach
  • 4.3.1 Problem Description
  • 4.3.2 Uncertainty Model
  • 4.3.3 Formulation
  • 4.4 Robust Optimization Approach
  • 4.4.1 Problem Description
  • 4.4.2 Uncertainty Model
  • 4.4.3 Formulation
  • 4.5 Hybrid Stochastic-Robust Optimization Approach
  • 4.5.1 Problem Description
  • 4.5.2 Uncertainty Model
  • 4.5.3 Formulation
  • 4.6 Adaptive Robust Optimization Approach
  • 4.6.1 Problem Description
  • 4.6.2 Formulation
  • 4.6.3 Uncertainty Set
  • 4.6.4 Feasibility of Operating Decision Variables
  • 4.6.5 Detailed Formulation
  • 4.6.6 Solution Procedure
  • 4.6.6.1 Master Problem
  • 4.6.6.2 Subproblem
  • 4.6.6.3 Solution Algorithm
  • 4.7 Summary and Further Reading
  • 4.8 GAMS Codes
  • 4.8.1 Stochastic Programming Approach
  • 4.8.2 Robust Optimization Approach

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