The Next Generation of Electric Power Unit Commitment Models

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Hobbs, Benjamin F. (Επιμελητής έκδοσης), Rothkopf, Michael H. (Επιμελητής έκδοσης), O’Neill, Richard P. (Επιμελητής έκδοσης), Chao, Hung-po (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US, 2001.
• Σειρά: International Series in Operations Research & Management Science, 36
• Θέματα: Operations research.; Decision making.; Energy industries.; Environmental management.; Air pollution.; Economics.; Management science.; Environmental economics.; Economics, general.; Environmental Management.; Energy Economics.; Environmental Economics.; Atmospheric Protection/Air Quality Control/Air Pollution.; Operation Research/Decision Theory.

Over the years, the electric power industry has been using optimization methods to help them solve the unit commitment problem. The result has been savings of tens and perhaps hundreds of millions of dollars in fuel costs. Things are changing, however. Optimization technology is improving, and the i...

Πίνακας περιεχομένων:

• The Evolving Context for Unit Commitment Decisions
• Why this Book? New Capabilities and New Needs for Unit Commitment Modeling
• Regulatory Evolution, Market Design and Unit Commitment
• Development of an Electric Energy Market Simulator
• New Features in Unit Commitment Models
• Auctions with Explicit Demand-Side Bidding in Competitive Electricity Markets
• Thermal Unit Commitment with a Nonlinear AC Power Flow Network Model
• Optimal Self-Commitment under Uncertain Energy and Reserve Prices
• A Stochastic Model for a Price-Based Unit Commitment Problem and Its Application to Short-Term Generation Asset Valuation
• Probabilistic Unit Commitment under a Deregulated Market
• AlgorithmicAdvances
• Solving Hard Mixed-Integer Programs for Electricity Generation
• An Interior-Point/Cutting-Plane Algorithm to Solve the Dual Unit Commitment Problem — on Dual Variables, Duality Gap, and Cost Recovery
• Building and Evaluating GENCO Bidding Strategies and Unit Commitment Schedules with Genetic Algorithms
• An Equivalencing Technique for Solving the Large-Scale Thermal Unit Commitment Problem
• Decentralized Decision Making
• Strategic Unit Commitment for Generation in Deregulated Electricity Markets
• Optimization-Based Bidding Strategies for Deregulated Electric Power Markets
• Decentralized Nodal-Price Self-Dispatch and Unit Commitment
• Decentralized Unit Commitment in Competitive Energy Markets.