需求侧资源建模的一般方法

Yunliang Wang, Zhengkun Bai, Yanjuan Wu, Zichen Li, Ang Li
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引用次数: 0

摘要

由于分布式能源在配电网中的渗透率不断提高,以及电力改革中售电侧的开放,充分发挥需求侧资源的灵活性变得越来越重要。本文以电动汽车(EV)、空调(AC) a等典型需求侧资源为例,考虑设备的物理特性以及人为因素和环境因素的影响,采用极端能量情景法建立通用虚拟电池(VB)模型来描述其资源的灵活性。使用一组标准参数来量化其可调度性和灵活性。这些资源根据分时电价的变化,优化自身的用电计划,降低用电成本,实现削峰填谷的功能。同时,它隐藏了消费者的具体用电信息,在一定程度上保护了用户参与电力市场交易和电力系统运行过程中的商业隐私。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A General Approach to Modeling Demand-Side Resources
Due to the increasing penetration of distributed energy in the distribution network and the opening of the electricity selling side in the power reform, it becomes more and more important to give full play to the flexibility of the demand side resources. Taking typical demand-side resources such as electric vehicles (EV), air conditioners (AC) a as examples, this paper takes into account the physical characteristics of the equipment and the influence of human and environmental factors, and uses the extreme energy scenario method to establish a universal virtual battery (VB) model to describe the flexibility of its resources. A set of standard parameters is used to quantify its schedulability flexibility. These resources optimize their own electricity consumption plan according to the change of TOU electricity price, reduce the electricity cost, and achieve the function of peak clipping and valley filling. At the same time, it hides the specific electricity consumption information of consumers, which protects the commercial privacy of users in the process of participating in the electricity market transaction and the operation of the power system to a certain extent.
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