Developing a New Flexibility-Based Algorithm for Home Energy Management System (HEMS)

Sara Ostovar, M. Moeini‐Aghtaie, M. Hadi
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引用次数: 4

Abstract

Providing sufficient flexibility in modern power systems has become an unavoidable feature of sustainable energy systems. This flexibility should be supplied by different sectors and players of power systems. The role of demand especially prosumers in providing flexibility have recently been highlighted. In this regard, this paper presents a new flexibility-based algorithm for a Home Energy Management System (HEMS). The HEMS focuses on Electric Vehicles (EVs) and Electrical Energy Storage (EES) as main sources of flexibility products. Two main products, namely, positive and negative flexibility are defined as deviations from optimal energy schedules attained by the HEMS. Each flexibility’ offer related to the device is offered at a specific price in the flexibility platform. Final flexibility plans are extracted after running a linear optimization model. It has been shown that these products can properly enhance the flexibility level of distribution systems and simultaneously impose no additional cost for prosumers.
基于柔性的家庭能源管理系统算法研究
在现代电力系统中提供足够的灵活性已成为可持续能源系统不可避免的特征。这种灵活性应由电力系统的不同部门和参与者提供。需求,特别是生产消费者在提供灵活性方面的作用最近得到强调。为此,本文提出了一种基于柔性的家庭能源管理系统(HEMS)算法。HEMS将电动汽车(ev)和电能存储(EES)作为柔性产品的主要来源。两个主要产品,即正灵活性和负灵活性被定义为偏离HEMS达到的最佳能源计划。与设备相关的每种灵活性报价都在灵活性平台上以特定价格提供。在运行线性优化模型后提取最终的柔性方案。事实证明,这些产品可以适当地提高配电系统的灵活性水平,同时不会给生产消费者带来额外的成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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