A Power Market Model with Renewable Portfolio Standards, Green Pricing and GHG Emissions Trading Programs

2008 IEEE Energy 2030 Conference Pub Date : 2008-11-01 DOI:10.1109/ENERGY.2008.4780995

Yihsu Chen, Lizhi Wang

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引用次数: 17

Abstract

Models based on complementarity formulation have been a useful tool to simulate the interactions between environmental policies and the power market. This paper presents a power market model that considers renewable portfolio standards (RPS), greenhouse gas (GHG) emissions cap-and-trade and green pricing programs. These are three concurrent policies in the United States that are expected to be implemented to reduce our reliance of electricity on carbon intensity sources. Under these policies, electricity generated from renewable sources would incur little or no GHG costs, and also can be used to meet RPS, or sell into green pricing programs. Therefore, load serving entities (LSEs) would view electricity as differential products and price it differently based on its emission rate. As an illustration, the model is applied to analyze the interactions of three policies using a three-node power system. The result suggests that the green premium and the price of renewable energy credits (RECs) are closely related and the interactions among three policies can effectively increase profits earned by renewables generators. RECs market needs to be carefully designed to prevent double counting.

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具有可再生能源组合标准、绿色定价和温室气体排放交易计划的电力市场模型

基于互补性公式的模型是模拟环境政策与电力市场相互作用的有效工具。本文提出了一个考虑可再生能源组合标准(RPS)、温室气体(GHG)排放限额与交易和绿色定价方案的电力市场模型。这是美国预计将同时实施的三项政策，以减少我们对碳强度能源的电力依赖。在这些政策下，可再生能源产生的电力将产生很少或没有温室气体排放成本，也可以用于满足RPS，或出售给绿色定价计划。因此，负荷服务实体(lse)会将电力视为差异化产品，并根据其排放率对其进行不同的定价。作为示例，应用该模型分析了三节点电力系统中三个策略之间的相互作用。结果表明，绿色溢价与可再生能源信用价格密切相关，三者之间的相互作用可以有效提高可再生能源发电企业的利润。RECs市场需要仔细设计，以防止重复计算。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2008 IEEE Energy 2030 Conference

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