Imperfect Markets and Imperfect Regulation

Imperfect Markets and Imperfect Regulation: An Introduction to the Microeconomics and Political Economy of Power Markets (The MIT Press) by Thomas-Olivier Leautier, Jean Tirole
English | March 19, 2019 | ISBN: 0262039281 | 416 pages | PDF (Converted) | 27 Mb
The first textbook to present a comprehensive and detailed economic analysis of electricity markets, analyzing the tensions betweenmicroeconomics and political economy.

The power industry is essential in our fight against climate change. This book is the first to examine in detailthe microeconomics underlying power markets, stemming from peak-load pricing, by which prices are low when the installed generationcapacity exceeds demand but can rise a hundred timeshigher whendemand is equal to installed capacity. The outcome of peak-load pricing is often difficult to accept politically, and the book explores the tensions between microeconomics and political economy.
Understanding peak-load pricing and its implications is essential for designing robust policies and making sound investment decisions. Thomas-Olivier Lйautier presents the model in its simplest form, and introduces additional features as different issues are presented. The book covers all segments of electricity markets: electricity generation, under perfect and imperfect competition; retail competition and demand response; transmission pricing, transmission congestion management, and transmission constraints; and the current policy issues arising from the entry of renewables into the market and capacity mechanisms. Combining anecdotes and analysis of real situations with rigorous analytical modeling, each chapter analyzes one specific issue, first presenting findings in nontechnical terms accessible to policy practitioners and graduate students in management or public policy and then presenting a more mathematical analytical exposition for students and researchers specializing in the economics of electricity markets and for those who want to understand and apply the underlying models.

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