Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top

2017 | Book

Introduction Read chapter Read first chapter

Electrical Power Unit Commitment

Deterministic and Two-Stage Stochastic Programming Models and Algorithms

Authors: Yuping Huang, Panos M. Pardalos, Qipeng P. Zheng

Publisher: Springer US

Book Series : SpringerBriefs in Energy

Part of: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

Login to get access
insite
SEARCH

About this book

This volume in the SpringerBriefs in Energy series offers a systematic review of unit commitment (UC) problems in electrical power generation. It updates texts written in the late 1990s and early 2000s by including the fundamentals of both UC and state-of-the-art modeling as well as solution algorithms and highlighting stochastic models and mixed-integer programming techniques.

The UC problems are mostly formulated as mixed-integer linear programs, although there are many variants. A number of algorithms have been developed for, or applied to, UC problems, including dynamic programming, Lagrangian relaxation, general mixed-integer programming algorithms, and Benders decomposition. In addition the book discusses the recent trends in solving UC problems, especially stochastic programming models, and advanced techniques to handle large numbers of integer- decision variables due to scenario propagation

Table of Contents

Frontmatter
Chapter 1. Introduction
Abstract
Electric power system is one of the most important service systems that keep our society running, as it is responsible for generating, transmitting and distributing electricity, which powers almost all aspects of our life. In United States, thousands of power systems are connected through electricity grids that are managed by Independent System Operators (ISOs) and Regional Transmission Organization (RTOs). As the three main components of electric power system, generation, transmission and distribution construct a multi-level network connecting initial energy supplies with end users for daily uses of electrical power.
Yuping Huang, Panos M. Pardalos, Qipeng P. Zheng
Chapter 2. Deterministic Unit Commitment Models and Algorithms
Abstract
This chapter introduces the basic formulations of unit commitment problems which are generally proposed to optimize the system operations by mixed integer linear programming. Meanwhile, the formulations target a series of external factors that affect electrical power generation schedules, such as ramping capacity, reserve requirement, transmission capacity, fuel constraint and emission. This chapter also introduces the solution approaches to solve the deterministic unit commitment problems, especially using Lagrangian Relaxation and Benders’ Decomposition. The SCUC cases are provided to illustrate the UC modeling and decomposition processes. All formulation notations are listed in Appendix B for reference.
Yuping Huang, Panos M. Pardalos, Qipeng P. Zheng
Chapter 3. Two-Stage Stochastic Programming Models and Algorithms
Abstract
This chapter discusses the technical and management solution approaches for solving UC problems under uncertainty. There are many recent programs and studies targeted to uncertainty resistance, such as demand response program, energy storage, real-time rescheduling, contingency management, risk measure and control. In recent years great interests has been directed towards reducing the impacts of uncertainty on electrical power system, and the focuses of solving deterministic UC problems are transferred to solving UC problems under uncertainty. One of successful approaches is to apply two-stage stochastic programming to build UC models incorporating system’s uncertainties. Also, several commonly used algorithms are introduced because they achieve better computational performance to deal with the large-scale real world problems. Their features and uses in practice are included for reader’s comparisons.
Yuping Huang, Panos M. Pardalos, Qipeng P. Zheng
Backmatter
Metadata
Title
Electrical Power Unit Commitment
Authors
Yuping Huang
Panos M. Pardalos
Qipeng P. Zheng
Copyright Year
2017
Publisher
Springer US
Electronic ISBN
978-1-4939-6768-1
Print ISBN
978-1-4939-6766-7
DOI
https://doi.org/10.1007/978-1-4939-6768-1