463 / 2018-12-30 21:39:46
Research on the elasticity of distributed energy demand response based on incentives;基于激励的分布式能源需求响应弹性研究
Distributed energy; Demand response; Flexibility assessment; Nonnegative matrix decomposition;分布式能源;需求响应;弹性评估;非负矩阵分解
全文录用
嘉伦 严 / 浙江大学热工与动力系统研究所
光耀 应 / 国网浙江省电力有限公司电力科学研究院
琪超 叶 / 国网浙江省电力有限公司电力科学研究院
德仁 盛 / 浙江大学热工与动力系统研究所
Abstract: The demand response is to ensure the stability of the distributed energy system, and the purpose is to reduce the sudden increase in price due to insufficient energy supply or overload of the distributed system, so that stability is threatened. In the design of demand response schemes, the research of elasticity is mainly used to understand customer load consumption and load forecasting analysis, mainly to understand how demand changes with the change of incentives. This paper firstly models the various devices of the building system based on Matlab software, and then investigates the customer's needs through the survey platform to understand the types of hot and cold equipment used by customers, energy sources, energy use time, life and work habits, etc. In order to decompose the load signal of each device, a constrained non-negative matrix factorization method is proposed. In addition, the method is also used to decompose the HVAC signal to identify different thermostat settings. The results show that under certain loads such as lighting and washing, the customer's required excitation is smaller than that of HVAC, but because HVAC has a higher share of energy in the total load, it has greater flexibility. Considering the important role of HVAC in the total load signal, the elasticity is studied in more detail using the estimates set by different thermostats. Analysis shows that as the average power increases, the air conditioning elasticity decreases.
[摘 要]需求响应是为了确保分布式能源系统的稳定性,目的是减少由于分布式系统的能源供应不足或过载导致的价格的突然增加,从而稳定性受到威胁。需求响应方案设计中,弹性的研究主要用于了解客户负荷消耗及负荷预测分析。本文首先基于Matlab软件对楼宇式系统的各个设备进行建模,再通过调查平台对客户的需求进行调研,了解客户使用的冷热设备类型、能源来源、用能时间、生活及工作作息习惯等,为了分解每个设备的负载信号,提出了一种约束非负矩阵分解方法,该方法还用于对暖通空调信号进行分解,以识别不同的温控器设置。结果表明,在照明、洗涤等一定负荷下,客户所需的激励小于暖通空调,但由于暖通空调在总负荷中所占的能量份额普遍较高,因此具有较大的弹性。考虑到暖通空调在总负荷信号中的重要作用,利用不同温控器设置的估计值对弹性进行了更详细的研究。分析表明,随着平均功率的增大,空调弹性减小。
重要日期
  • 会议日期

    10月21日

    2019

    10月25日

    2019

  • 10月20日 2019

    初稿截稿日期

  • 10月25日 2019

    注册截止日期

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浙江大学
昆明理工大学
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