Quantifying the demand response potential of heat pumps and electric vehicles considering communication protocol constraints

IF 4.8 2区 工程技术 Q2 ENERGY & FUELS
Fabian Krug , Laura Maier , Dirk Müller
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引用次数: 0

Abstract

To integrate volatile renewable electricity generation into the grid, electricity consumption needs to be adapted to the generation by so-called demand response. In the residential scope, demand response can be realized with heat pumps and electric vehicles. Recent research has already quantified the flexibility potential of heat pumps and electric vehicles. However, none of this research considers the communication protocols used in practical applications. The novelty of the current work is that it analyzes the influence of different real-world communication protocols on the flexibility potential of heat pumps and electric vehicles. Therefore, models for heat pumps and electric vehicles with different communication protocols are developed and verified with measurement data. To determine the flexibility potential, 200 randomized instances of these models are simulated over one year for each communication protocol. The results show that the downward flexibility potential of heat pumps is independent of the communication protocol. The upward flexibility potential of heat pumps is highest and most stable with direct load control over Modbus. Unlike downward flexibility, upward flexibility increases the daily energy consumption of heat pumps. For electric vehicles, ISO 15118-20 shows the highest overall flexibility.

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来源期刊
Sustainable Energy Grids & Networks
Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology
CiteScore
7.90
自引率
13.00%
发文量
206
审稿时长
49 days
期刊介绍: Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.
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