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

机译:具有可再生组合标准的电力市场模式,绿色定价和温室气体排放课程

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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.
机译:基于互补性配方的模型是模拟环境政策与电力市场之间的相互作用的有用工具。本文介绍了一个电力市场模型,考虑可再生组合标准(RPS),温室气体(GHG)排放帽和贸易和绿色定价计划。这些是美国的三项并发策略,预计将实施,以降低我们对碳强度的依赖。在这些政策下,从可再生来源产生的电力会产生很少或没有温室气体成本,并且也可用于满足RPS,或销售到绿色定价计划。因此,负载服务实体(LSE)将在电力视为差分产品,并根据其排放率不同地价格。作为图示,应用模型以使用三节点电力系统分析三个政策的交互。结果表明,绿色溢价和可再生能源信贷(RECS)的价格密切相关,三项政策之间的互动可以有效地提高可再生能源生成器获得的利润。 Recs市场需要精心设计,以防止双重计数。

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