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Low-carbon power dispatch with wind power based on carbon trading mechanism

机译:基于碳交易机制的风电低碳电力调度

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摘要

Low-carbon power dispatching with wind power has been attracting increasing attention recently, whereas it also encounters some difficulties under carbon trading mechanism, such as the resistance to carbon emission reduction, the fairness of carbon trading, and the disturbance of wind power uncertainty. For harmonizing these contradictions, this paper presents a stochastic dynamic economic dispatch model focusing on wind power uncertainty and carbon emission rights simultaneously, which tries to minimize total electrical energy costs under uncertainty, and to meet the specific requirement of carbon emission reductions. Moreover, several traditional allocation methods for initial carbon emission rights emphasizing the equality are introduced, and the uncertainty characterizations of wind power are discussed through the scenario-generation technique. The simulation results eventually demonstrate that the operating cost for non-cooperative mode cannot be optimized as the ratio of carbon emission reductions rises; carbon trading mechanism is beneficial for lower cost under the pressure of carbon emission reduction; carbon price ranges that suit both carbon trading parties could be deduced. Synthesizing wind power uncertainty and carbon emission rights, this study is helpful for allocating the load demand of wind power integrated system to each generating unit more scientifically and reasonably based on carbon trading mechanism. (C) 2018 Elsevier Ltd. All rights reserved.
机译:近来,以风能发电的低碳电力调度受到了越来越多的关注,但在碳交易机制下也遇到了一些困难,例如碳减排的阻力,碳交易的公平性以及风能不确定性的干扰。为了协调这些矛盾,本文提出了一种同时关注风电不确定性和碳排放权的随机动态经济调度模型,该模型试图使不确定性下的总电能成本最小化,并满足碳减排的具体要求。此外,介绍了强调平等性的几种传统的初始碳排放权分配方法,并通过情景生成技术讨论了风电的不确定性特征。仿真结果最终证明,随着碳排放量减少比例的提高,无法优化非合作模式的运营成本。碳交易机制有利于降低碳排放压力。可以推算出适合双方碳交易的碳价格范围。综合了风力发电的不确定性和碳排放权,本研究有助于基于碳交易机制更加科学合理地将风力发电综合系统的负荷需求分配给各个发电机组。 (C)2018 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Energy》 |2019年第1期|250-260|共11页
  • 作者单位

    Nantong Univ, Coll Sci, 9 Seyuan Rd, Nantong, Peoples R China|Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, 29 Jiangjun Ave, Nanjing, Jiangsu, Peoples R China;

    Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, 29 Jiangjun Ave, Nanjing, Jiangsu, Peoples R China|China Univ Petr Huadong, Coll Econ & Management, 66 West Changjiang Rd, Qingdao, Peoples R China;

    Nantong Univ, Coll Sci, 9 Seyuan Rd, Nantong, Peoples R China|Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, 29 Jiangjun Ave, Nanjing, Jiangsu, Peoples R China;

    Nantong Univ, Coll Sci, 9 Seyuan Rd, Nantong, Peoples R China;

    China Univ Petr Huadong, Coll Econ & Management, 66 West Changjiang Rd, Qingdao, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Low-carbon; Power dispatch; Wind power; Carbon trading;

    机译:低碳;电力调度;风力发电;碳交易;

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