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001 EBC3018843
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007 cr cnu||||||||
008 240724s2009 xx o ||||0 eng d
020 _a9781611223439
_q(electronic bk.)
020 _z9781607410782
035 _a(MiAaPQ)EBC3018843
035 _a(Au-PeEL)EBL3018843
035 _a(CaPaEBR)ebr10661782
035 _a(OCoLC)669509338
040 _aMiAaPQ
_beng
_erda
_epn
_cMiAaPQ
_dMiAaPQ
050 4 _aHD9685.A2 -- C78 2009eb
082 0 _a333.793/23
100 1 _aCruz, Jose B.
245 1 0 _aDynamic Noncooperative Game Models for Deregulated Electricity Markets.
250 _a1st ed.
264 1 _aNew York :
_bNova Science Publishers, Incorporated,
_c2009.
264 4 _c©2009.
300 _a1 online resource (121 pages)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
505 0 _aIntro -- DYNAMIC NONCOOPERATIVE GAMEMODELS FOR DEREGULATEDELECTRICITY MARKETS -- DYNAMICNONCOOPERATIVEGAMEMODELSFORDEREGULATEDELECTRICITYMARKETS -- Contents -- List of Tables -- List of Figures -- Preface -- Restructuring in the ElectricityIndustry -- 1.1. History of Restructuring in the Electricity Industry -- 1.1.1. Motivation and History -- 1.1.2. Structural Changes within the Industry -- 1.2. Prevailing Market Models -- 1.2.1. Pool Model -- 1.2.2. "Pure" Market Model -- 1.2.3. Mixed Pool/Bilateral Market -- 1.3. Electricity Deregulation in the U.S. -- 1.3.1. Power Crisis in California -- 1.3.2. Successful Reform in Pennsylvania -- 1.3.3. Encouraging Start in Texas -- 1.3.4. Transmission Restructuring -- 1.4. Future Trends -- 1.4.1. Distributed Generation (DG) -- 1.4.2. Renewable Energy -- 1.4.3. Smart Grid -- 1.4.4. Energy Efficiency -- Game Theory and Strategic Bidding -- 2.1. History of Game Theory -- 2.2. Strategic Bidding in the Competitive Electricity Market -- 2.3. Review of Adaptive Control -- Adaptation for N-Person Games -- 3.1. Introduction -- 3.2. Formulation of N-person Noncooperative Games -- 3.2.1. Mathematical Models -- 3.2.2. Steady State Control Strategies -- 3.3. One-Sided Adaptation Design for N-person Games -- 3.3.1. Adaptive Mechanism Design -- 3.3.2. Persistent Excitation and Parameter Convergence -- 3.3.3. Adaptation for Nash or Other Control Strategies -- 3.3.4. Computational Iterations -- 3.3.5. Numerical Examples -- 3.4. Two-sided Adaptation for Two-person Games -- 3.4.1. Adaptation Mechanism Design -- 3.5. Multiple-sided Adaptation for N-person Games -- 3.5.1. Adaptation Mechanism Design -- 3.6. Summary -- Sensitivity Analysis of Uncertainties -- 4.1. Introduction -- 4.2. Two-person Games with Uncertain Objectives -- 4.2.1. Multi-modeling Formulation with Unknown Parameters in the PerformanceIndices.
505 8 _a4.3. Sensitivity Analysis of the Uncertain Parameter -- 4.4. Numerical Examples of Strategic Bidding -- 4.4.1. Model Formulated by DM1 (Game A) -- 4.4.2. Model Formulated by DM2 (Game B) -- 4.5. Summary -- Price Strategies in Mixed-StrategySolutions -- 5.1. Introduction -- 5.2. Formulation of an N-person Nash-Bertrand Game -- 5.3. Bimatrix Game with Solutions in Mixed Strategy -- 5.3.1. Formation of Bimatrix Game -- 5.3.2. Solutions in Mixed Strategies -- 5.3.3. Computation of Solutions Using Bilinear Programming -- 5.4. Numerical Examples -- 5.4.1. Case 1: μ11= 0.1,μ21= 0.9 -- 5.4.2. Case 2: μ11= 0.3,μ21= 0.7 -- 5.4.3. Case 3: μ11= 0.5,μ21= 0.5 -- 5.5. Summary -- Appendix A -- Proof of Lemma 1 -- References -- Index.
588 _aDescription based on publisher supplied metadata and other sources.
590 _aElectronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
650 0 _aElectric utilities -- Mathematical models.
650 0 _aNoncooperative games (Mathematics).
655 4 _aElectronic books.
700 1 _aTan, Xiaohuan.
776 0 8 _iPrint version:
_aCruz, Jose B.
_tDynamic Noncooperative Game Models for Deregulated Electricity Markets
_dNew York : Nova Science Publishers, Incorporated,c2009
_z9781607410782
797 2 _aProQuest (Firm)
856 4 0 _uhttps://ebookcentral.proquest.com/lib/orpp/detail.action?docID=3018843
_zClick to View
999 _c59905
_d59905