Short-Term Control of Heat Pumps to Support Power Grid Operation

IF 5.2 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Open Journal of the Industrial Electronics Society Pub Date : 2024-10-28 DOI:10.1109/OJIES.2024.3486560

Diran Liu;Daniele Carta;André Xhonneux;Dirk Müller;Andrea Benigni

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引用次数: 0

Abstract

The increasing adoption of heat pumps presents new challenges for power grids, including the potential overloading of transformers and cables. To address this issue, in this work, a model predictive control for a low-temperature district heating network is proposed to prevent the overloading of transformers and cables. A comprehensive control strategy that considers various factors influencing the flexibility of heat pumps is introduced. The considered factors include integrating distributed energy resources (DER) such as a photovoltaic system, a battery energy storage system, and flexible indoor temperatures. The control mechanism is validated through a hardware-in-the-loop cosimulation setup, ensuring practical applicability and operational feasibility. The results indicate that with the proposed control, the power consumption of the heat pumps is reduced to alleviate overloading issues. To meet the power consumption constraints imposed on the heat pumps the gas usage by the heating grid would increase up to 506% of the level in the case without power constraints. However, by integrating DERs, along with leveraging the flexibility in indoor temperature, this additional gas usage is limited to 135%.

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短期控制热泵以支持电网运行

越来越多地采用热泵给电网带来了新的挑战，包括变压器和电缆可能过载。为解决这一问题，本研究提出了一种低温区域供热网络的模型预测控制方法，以防止变压器和电缆过载。文中介绍了一种综合控制策略，该策略考虑了影响热泵灵活性的各种因素。考虑的因素包括整合分布式能源资源（DER），如光伏系统、电池储能系统和灵活的室内温度。通过硬件在环协同仿真设置对控制机制进行了验证，以确保实际适用性和操作可行性。结果表明，采用所提出的控制方法，热泵的功耗得以降低，从而缓解了过载问题。为了满足对热泵施加的功率消耗限制，供热电网的天然气用量将增加到无功率限制情况下的 506%。然而，通过整合 DER 以及利用室内温度的灵活性，额外的天然气用量被限制在 135%。

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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来源期刊

IEEE Open Journal of the Industrial Electronics Society ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

10.80

自引率

2.40%

发文量

审稿时长

12 weeks

期刊介绍： The IEEE Open Journal of the Industrial Electronics Society is dedicated to advancing information-intensive, knowledge-based automation, and digitalization, aiming to enhance various industrial and infrastructural ecosystems including energy, mobility, health, and home/building infrastructure. Encompassing a range of techniques leveraging data and information acquisition, analysis, manipulation, and distribution, the journal strives to achieve greater flexibility, efficiency, effectiveness, reliability, and security within digitalized and networked environments. Our scope provides a platform for discourse and dissemination of the latest developments in numerous research and innovation areas. These include electrical components and systems, smart grids, industrial cyber-physical systems, motion control, robotics and mechatronics, sensors and actuators, factory and building communication and automation, industrial digitalization, flexible and reconfigurable manufacturing, assistant systems, industrial applications of artificial intelligence and data science, as well as the implementation of machine learning, artificial neural networks, and fuzzy logic. Additionally, we explore human factors in digitalized and networked ecosystems. Join us in exploring and shaping the future of industrial electronics and digitalization.