Inhalt des Dokuments
Training Sessions 2013 (choose one)
1) Advanced Electricity Sector Modeling
This course provides an overview of numerical modeling of the electricity sector. It includes modeling of short-term dispatch, congestion management, and transmission network investment. The participants will be acquainted with a specific modeling tool: ELMOD2.0, a GAMS-based optimization model, including comprehensive data at the national and European level. Participants need previous GAMS-programming experience and be familiar with European electricity sector issues.
Trainer: Dr. Friedrich Kunz, Senior Researcher at DIW Berlin, and one of the developers of ELMOD; he many years of experience applying it to different regions and analytical problems, such as congestion management, renewable integration, and cross-border network expansion.
2) One and Two-Level Energy Market Equilibrium Modeling (Electricity, Natural gas, Renewables)
(attention: training dates September 30th - October 4th)
This course investigates strategic interaction in energy markets and covers several optimization and equilibrium concepts to solve the associated models. We aim to provide (PhD-) students with a strong theoretical understanding of Generalized Nash games and leader-follower Stackelberg games, and the related mathematical concepts of (Quasi-) Variational Inequalites (VI and QVI), Mixed Complementarity Problems (MCP), Mathematical/Equilibrium Problems under Equilibrium Constraints (MPEC/EPEC). Applications of these methodologies to energy market problems will be covered in the practical part of the course, based on examples from recent literature.
Participants should have a thorough knowledge of nonlinear optimization, mixed complementarity problems, Karush-Kuhn-Tucker conditions and convexity in higher dimensions as well as hands-on experience in GAMS.
Trainer: Dr. Steven A. Gabriel, Professor of Operations Research , University of Maryland, Research Professor at DIW Berlin, Adjunct Professor at NTNU Trondheim, and co-author of the book “Complementarity Modeling In Energy Markets” (Springer), http://www.stevenagabriel.umd.edu .
3) Transmission Expansion and Regulation of Electricity Networks: Theory and Numerical Simulations
The course addresses the issue of network investment and regulation. We review the theoretical literature, study a proposed incentive framework for transmission expansion, and analyze how transmission expansion is handled in some restructured markets. Applications will be done in the electricity sectors in Europe and North America, with a particular focus on the current and future role of Financial Transmission Rights (FTRs); numerical modeling will be implemented in GAMS.
Trainer: Dr. Juan Rosellón, Professor of Economics at CIDE (Mexico) and Senior Researcher at DIW Berlin, is widely renowned for his research on electricity transmission, both with theoretical perspective and focus on implementation; he has just co-published a leading book on “Financial Transmission Rights: Analysis, Experiences and Prospects” (2013, Springer).
4) Efficiency Analysis of the Energy Sector and Other Utilities
Given the current challenges in international infrastructure regulation, this session focuses on the advanced methods of parametric and nonparametric efficiency analysis for regulatory purposes. The course has a focus on electricity sector benchmarking, but it will also cover other utilities, such as water, waste, and other public services. State-of-the-art econometric and nonparametric models for regulatory benchmarking are derived and applied to utilities and network industries. Beside the introduction into production theory and into the general principles of efficiency analysis this course covers advanced models for data envelopment analysis (DEA), cross-section and panel data models for stochastic frontier analysis (SFA) and the combination of both concepts, the stochastic non-smooth envelopment of data (StoNED). Topics are the estimation of economies of scale and scope, horizontal and vertical integration/separation, decomposition of productivity change.
Trainer: Dr. Astrid Cullmann, Senior Researcher at DIW Berlin, is specialized in nonparametric and parametric efficiency analysis in regulated and non-regulated industries and also works on issues concerning knowledge production and research efficiency.