Stochastic Unit Commitment Model Considering the Impact of Renewable Energy Policies

Miao Yang, Hongji Zhang, Tao Ding, Ning Mi, Xiaozhen Ma, Ning Qiao, Qiang Li, Hua Jing
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Abstract

In the context of the worldwide environmental problems, it has become a global consensus to increase the installed capacity and the consumption level of renewable energy resources. In recent years, many countries, including China, have proposed various renewable energy policies, such as establishing the carbon emission trading market and developing the renewable energy quota system. Besides, demand response programs have been raised to alleviate the carbon pressure on the system and increase renewable energy consumption. However, limited effort has been expanded in quantitatively analyzing the impact of various renewable energy policy factors on the consumption level of renewable energy resources. Furthermore, the volatility and stochasticity associated with the high penetration of renewable energy sources pose a great challenge to the operation and dispatch of power systems. To solve these problems, this paper proposes a stochastic unit commitment model considering the carbon emissions trading/ carbon emission permits (CET/CEP) policies, the renewable energy quota system, and the demand response. Numerical results show the validity of the proposed model.
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考虑可再生能源政策影响的随机单元承诺模型
在全球环境问题日益突出的背景下,提高可再生能源装机容量和消费水平已成为全球共识。近年来,包括中国在内的许多国家都提出了各种可再生能源政策,如建立碳排放交易市场、发展可再生能源配额制度等。此外,还提出了需求响应方案,以减轻系统的碳压力,增加可再生能源的消耗。然而,在定量分析各种可再生能源政策因素对可再生能源消费水平的影响方面,开展的工作有限。此外,可再生能源的高度普及所带来的波动性和随机性对电力系统的运行和调度提出了巨大的挑战。为了解决这些问题,本文提出了考虑碳排放交易/碳排放许可(CET/CEP)政策、可再生能源配额制度和需求响应的随机单元承诺模型。数值结果表明了该模型的有效性。
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