UNCERTAINTY IN THE ELECTRIC POWER INDUSTRY Methods and Models for Decision Support



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Transcription:

UNCERTAINTY IN THE ELECTRIC POWER INDUSTRY Methods and Models for Decision Support CHRISTOPH WEBER University of Stuttgart, Institute for Energy Economics and Rational of Use of Energy fyj. Springer

Contents CONTENTS LIST OF FIGURES LIST OF TABLES PREFACE ACKNOWLEDGMENTS Chapter 1 INTRODUCTION VII XIII XIX XXI XXIII l Chapter 2 DEREGULATION AND MARKETS IN THE ELECTRICITY INDUSTRY 3 1. Status of deregulation 4 2. Power and related markets in continental Europe 8 Chapter 3 DECISION MAKING AND UNCERTAINTIES IN THE ELECTRICITY INDUSTRY 11 1. Decision problems in the electricity industry 11 2. Uncertainties in the electricity industry 13 2.1 Market prices for primary energy carriers 13 2.2 Product prices for electricity 15 2.3 Availability of plants 18 2.4 Behavior of competitors 18 2.5 Demand growth 19 2.6 Technology development 19 2.7 Regulatory and political uncertainties 21

Vlll 3. Formal framework 22 3.1 Formulating decision problems under uncertainty 22 3.2 Describing uncertain parameters 24 3.2.1 Random variables 24 3.2.2 Stochastic processes 26 3.3 Models for decision support under uncertainty 26 3.4 Measuring model quality 27 Chapter 4 MODELLING ELECTRICITY PRICES 31 1. Fundamental models 32 1.1 Basic model: cost minimization under load constraint and merit order 32 1.2 Transmission constraints 35 1.3 Hydro plants 35 1.4 Start-up costs and minimum operation/shut-down time 37 1.5 Reserve power markets 38 1.6 Implications and challenges 39 2. Finance and econometric models 40 2.1 Basic models 40 2.1.1 Geometric Brownian motion 40 2.1.2 Mean-Reversion models 42 2.1.3 Jump-Diffusion models 43 2.2 Deterministic and cyclical effects 44 2.3 Advanced stochastic models 45 2.3.1 ARMA models 45 2.3.2 GARCH models 46 2.3.3 Mixture distributions 48 2.3.4 Markov regime switching 50 2.3.5 Transformed diffusion model 53 2.3.6 Multifactor models 54 3. Integrated modeling approach 56 3.1 Primary energy prices: stochastic model 57 3.2 Electricity prices: fundamental model 60 3.3 Electricity prices: stochastic model 65 4. Application 73 Chapter 5 MODELING COMPETITION IN THE ELECTRICITY INDUSTRY 79 1. Competition on the wholesale market: Cournot-Nash competition and competition with bid curves 79 2. Competition on the retail market: Bertrand competition and competition with heterogeneous products 80

Detailed Contents ix 2.1 Methodological approach - basic model with one retail market 81 2.2 Methodological approach - extension to several retail segments 85 2.3 Analytical results - attractiveness of various market segments 87 3. Application 90 3.1 Market description 90 3.2 Results 93 Chapter 6 OPTIMIZING GENERATION AND TRADING PORTFOLIOS 97 1. Technical elements for production scheduling 98 1.1 Fuel consumption and capacity restrictions for conventional power plants and boilers 99 1.2 Start-up, shut-down and ramping constraints 101 1.3 Back-pressure steam turbines 103 1.4 Extraction condensing steam turbine 103 1.5 Gas turbine and gas motor 105 2. System-wide restrictions and objective function 106 2.1 Balance of supply and demand 106 2.2 Objective function 108 2.3 Problem structure and possible simplifications 110 3. Separable optimization with uncertain prices - real option model 114 3.1 Basic models 114 3.2 Thermal power plants as path-dependent American options 116 3.2.1 Model of Tseng and Barz 116 3.2.2 Use of lattices generated from Monte-Carlo simulations 121 3.2.3 Adaptation to day-ahead-trading markets 124 4. Two-stage optimization problem in day-ahead markets including CHP 126 5. Longer-term portfolio management 128 6. Application 135 6.1 Portfolio description 135 6.1.1 Thermal power plants without cogeneration 135 6.1.2 Cogeneration system 136 6.2 Real options approach 137 6.3 Two stage optimization 141 6.4 Longer Term Portfolio Management 143

X Chapter 7 RISK MANAGEMENT AND RISK CONTROLLING 149 1. Typology of risks 150 1.1 Market risks 150 1.2 Other external risks 151 1.3 Internal risks 152 2. Aggregate risk measures 152 2.1 Value at risk 152 2.2 Alternative concepts for market risk 154 2.3 Alternative statistical risk measures 155 2.4 Integral earnings at risk 156 3. Integral earnings at risk and risk management strategies in incomplete electricity markets 158 4. Price models for risk controlling 166 4.1 Multivariate GARCH models 169 4.2 Multivariate models with regime switching 172 5. Power plant models for risk quantification 178 5.1 Delivery risk - including analytical model for CHP valuation 178 5.2 Short-term risk 181 6. Application 185 6.1 Computation methodology 185 6.2 Portfolio description 186 6.3 Results 186 6.3.1 Delivery risk 187 6.3.2 Short-term risk 191 6.3.3 Integral earnings at risk 193 Chapter 8 TECHNOLOGY ASSESSMENT - WITH APPLICATION TO FUEL CELLS 195 1. Analysis of the state of the art 196 2. Technology developments in the middle and longer term 199 2.1 Upscaling and hybrid systems 199 2.2 Use of solid fuels 202 2.3 Multistage system concepts 203 3. Cost development 204 3.1 Learning and experience curves - conceptual basis 204 3.2 Experience curves as a forecasting tool 207 3.3 Dependency of the experience curves on the development stage 208 3.4 Ex-post observations of cost reductions for stationary fuel cell systems 209

Detailed Contents xi 3.5 Projection of experience curves for different technology lines 211 4. Assessment of context factors and resulting technology potentials 213 4.1 Energy demand structure 214 4.2 Operation simulation 216 4.2.1 Principles of operation simulation 217 4.2.2 Aggregated utilization potentials in Baden- Wurttemberg 222 4.2.3 Sensitivity analyses 225 5. Identifying technology strategies 226 Chapter 9 INVESTMENT DECISIONS 229 1. Static, deterministic long-term market equilibrium - the concept of peak load pricing 231 2. Stochastic fluctuations in the electric load 235 3. Stochastic fluctuations in the primary energy prices 242 4. Dynamic stochastic long-term price equilibria - a backward induction approach 245 4.1 Basic problem 246 4.2 Two-stage example 248 4.3 General solution approach 255 5. Application 259 5.1 Case study analyzed 260 5.2 Results 265 Chapter 10 FINAL REMARKS 271 REFERENCES 275 INDEX 291