PLAMER: Information system for bids analysis and forecasting of the Iberian Electricity Market

P. Sánchez-Martín
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Abstract

This paper describes a strategic information platform developed for the German electric utility Eon, to provide historical bidding analysis and medium-term forecasting of the Iberian Electricity Market. This platform, PLAMER, has three main modules: Initialization module, consisting of different sub-modules to define the electrical system structure and to organize the input data of the rest of modules, PLAMER-bids, to read, aggregate and visualize market historical bids and also to prepare them for their future forecasted values, and PLAMER-clearing, for market clearing emulation using forecasted bids. PLAMER-clearing models the Iberian market based on a bid clearing mechanism with an inherent market splitting procedure. This market splitting is built with a bi-nodal simplification, one node representing the Spanish System and the other the Portuguese one. Both are simply connected by a unique equivalent interconnection line. The medium term clearing model uses a generation portfolio per generation company in terms of technologies, for supplying monthly demand for different load levels, and labour and non-labour periods. Some technical constraints, such as minimum outputs and pumping energy balance, are also taking into account. The mathematical problem of PLAMER-clearing is a quadratic programming model solved using GAMS language and CPLEX optimizer. Finally, a real Iberian case study is detailed and some market splitting outputs are analyzed.
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pler:伊比利亚电力市场报价分析和预测的信息系统
本文描述了为德国电力公司Eon开发的战略信息平台,用于提供伊比利亚电力市场的历史报价分析和中期预测。该平台PLAMER有三个主要模块:初始化模块,由不同的子模块组成,用于定义电气系统结构和组织其余模块的输入数据;PLAMER-出价,用于读取、汇总和可视化市场历史出价,并为其未来的预测值做准备;PLAMER-清算,用于使用预测出价进行市场清算仿真。PLAMER-clearing基于一种带有固有市场分割程序的竞价清算机制对伊比利亚市场进行建模。这种市场分割采用双节点简化,一个节点代表西班牙语系统,另一个节点代表葡萄牙语系统。两者通过一条独特的等效互连线简单连接。中期结算模型根据技术使用每个发电公司的发电组合,以提供不同负荷水平的每月需求,以及劳动和非劳动期间。还考虑到一些技术限制,如最低产量和抽水能量平衡。player -clearing的数学问题是一个二次规划模型,使用GAMS语言和CPLEX优化器求解。最后,以伊比利亚为例,分析了市场分裂的结果。
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