Integrating Renewables in Electricity Markets: Operational Problems
暫譯: 在電力市場中整合可再生能源：運營問題

Morales, Juan M., Conejo, Antonio J., Madsen, Henrik

Integrating Renewables in Electricity Markets: Operational Problems

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商品描述

This addition to the ISOR series addresses the analytics of the operations of electric energy systems with increasing penetration of stochastic renewable production facilities, such as wind- and solar-based generation units.

As stochastic renewable production units become ubiquitous throughout electric energy systems, an increasing level of flexible backup provided by non-stochastic units and other system agents is needed if supply security and quality are to be maintained.

Within the context above, this book provides up-to-date analytical tools to address challenging operational problems such as:

- The modeling and forecasting of stochastic renewable power production.
- The characterization of the impact of renewable production on market outcomes.
- The clearing of electricity markets with high penetration of stochastic renewable units.
- The development of mechanisms to counteract the variability and unpredictability of stochastic renewable units so that supply security is not at risk.
- The trading of the electric energy produced by stochastic renewable producers.
- The association of a number of electricity production facilities, stochastic and others, to increase their competitive edge in the electricity market.
- The development of procedures to enable demand response and to facilitate the integration of stochastic renewable units.

This book is written in a modular and tutorial manner and includes many illustrative examples to facilitate its comprehension. It is intended for advanced undergraduate and graduate students in the fields of electric energy systems, applied mathematics and economics. Practitioners in the electric energy sector will benefit as well from the concepts and techniques explained in this book.

商品描述(中文翻譯)

這本書是 ISOR 系列的新增內容，針對隨著隨機可再生能源生產設施（如風能和太陽能發電單元）滲透率增加而產生的電力系統運作分析進行探討。

隨著隨機可再生能源單元在電力系統中變得無處不在，為了維持供應安全和質量，非隨機單元及其他系統代理所提供的靈活備援需求也隨之增加。

在上述背景下，本書提供了最新的分析工具，以解決以下挑戰性的運營問題：

- 隨機可再生能源發電的建模與預測。
- 可再生能源生產對市場結果的影響特徵化。
- 高滲透率隨機可再生單元的電力市場清算。
- 開發機制以對抗隨機可再生單元的變異性和不可預測性，以確保供應安全不受風險影響。
- 隨機可再生生產者所產生的電能交易。
- 將多個電力生產設施（包括隨機和其他設施）聯合起來，以提高其在電力市場中的競爭優勢。
- 開發程序以啟用需求響應並促進隨機可再生單元的整合。

本書以模組化和教學的方式撰寫，並包含許多示例以促進理解。它適合電力系統、應用數學和經濟學領域的高年級本科生和研究生。電力行業的從業者也將從本書中解釋的概念和技術中受益。

作者簡介

Juan M. Morales received his M.Sc. degree in Industrial Engineering from the University of Málaga and his Ph.D. in Electrical Engineering from the University of Castilla - La Mancha, Spain. Since 2013 he is an associate professor in Stochastic Optimization in Energy Systems in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark. His research interests include mathematical programming and techniques of optimization under uncertainty, decision making, hierarchical optimization, renewable energies and energy economics.

Antonio J. Conejo received the M.S. degree from Massachusetts Institute of Technology, Cambridge, MA, in 1987 and the Ph.D. degree from the Royal Institute of Technology, Stockholm, Sweden, in 1990. He is currently Professor of Electrical Engineering at the Universidad de Castilla - La Mancha, Ciudad Real, Spain.

Henrik Madsen received his M.Sc. (1982) and PhD (1986) in Statistics from the Technical University of Denmark (DTU). His research interests include forecasting of wind and solar power, time series analysis, and estimation of parameters in stochastic differential equations for physical modeling. Since 1999 he has been a full professor in Stochastic Dynamical Systems.

Pierre Pinson received his M.Sc. in Applied Mathematics from the National Institute of Applied Sciences, Toulouse, and his Ph.D. in Energetics from the Ecole des Mines de Paris. He is the Professor in Modelling of Electricity Markets at the Technical University of Denmark, Dpt. of Electrical Engineering. His research interests include statistical modelling; forecasting; stochastic optimization; decision making under uncertainty; renewable energies; meteorology; energy management; and energy trading.

Marco Zugno received the M.Sc. degree in Electrical Engineering from the Technical University of Denmark (DTU) and the M.Sc. degree in Automation Engineering from the University of Padua, Italy. He holds a Ph.D. degree obtained from the department of Applied Mathematics and Computer Science at DTU. He is currently a postdoctoral researcher with the same department. His research interests include electricity market modeling; stochastic programming; robust optimization; and hierarchical optimization.

作者簡介(中文翻譯)

胡安·M·莫拉萊斯（Juan M. Morales）於馬拉加大學獲得工業工程碩士學位，並於西班牙卡斯蒂利亞-拉曼查大學獲得電氣工程博士學位。自2013年以來，他在丹麥技術大學應用數學與計算機科學系擔任隨機優化在能源系統中的副教授。他的研究興趣包括數學規劃、不確定性下的優化技術、決策制定、分層優化、可再生能源和能源經濟學。

安東尼奧·J·科內霍（Antonio J. Conejo）於1987年在麻省理工學院（Massachusetts Institute of Technology）獲得碩士學位，並於1990年在瑞典皇家理工學院（Royal Institute of Technology）獲得博士學位。他目前是西班牙卡斯蒂利亞-拉曼查大學（Universidad de Castilla - La Mancha）電氣工程教授。

亨里克·馬德森（Henrik Madsen）於1982年獲得丹麥技術大學（DTU）統計學碩士學位，並於1986年獲得博士學位。他的研究興趣包括風能和太陽能的預測、時間序列分析，以及物理建模中隨機微分方程的參數估計。自1999年以來，他一直是隨機動態系統的全職教授。

皮埃爾·平森（Pierre Pinson）於法國圖盧茲的國立應用科學學院獲得應用數學碩士學位，並於巴黎礦業學院獲得能源學博士學位。他是丹麥技術大學電氣工程系的電力市場建模教授。他的研究興趣包括統計建模、預測、隨機優化、不確定性下的決策制定、可再生能源、氣象學、能源管理和能源交易。

馬爾科·祖尼奧（Marco Zugno）於丹麥技術大學（DTU）獲得電氣工程碩士學位，並於意大利帕多瓦大學獲得自動化工程碩士學位。他在DTU的應用數學與計算機科學系獲得博士學位，目前是該系的博士後研究員。他的研究興趣包括電力市場建模、隨機編程、穩健優化和分層優化。

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