2014Unpublished venueRequires access

A rule based domestic load profile generator for future smart grid

Weicong Kong, Zhao Yang Dong, Guo Chen, Youwei Jia

Open publisher page 7 citations

Abstract

Renewable energy generation will continue to increase in the future. To accommodate high renewable penetrations in power systems, solutions such as demand response, energy storage will be needed. Most of such studies need to combine with the load profile at domestic level, but resources of household load profiles are quite scarce. We propose a rule based domestic load profile generator which allows the users to choose whatever appliance profiles to add to the household. We also simulate a household's power consumption considering typical resident load patterns and schedules. Results from the case study show that the generated profile closely resemble the real domestic profile with similar resident loads.

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What this paper is about

Renewable energy generation will continue to increase in the future. To accommodate high renewable penetrations in power systems, solutions such as demand response, energy storage will be needed. Most of such studies need to combine with the load profile at domestic level, but resources of household load profiles are quite scarce. We propose a rule based domestic load profile generator which allows the users to choose whatever appliance profiles to add to the household. We also simulate a household's power consumption considering typical resident load patterns and schedules. Results from the case study show that the generated profile closely resemble the real domestic profile with similar resident loads.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Renewable energy generation will continue to increase in the future. To accommodate high renewable penetrations in power systems, solutions such as demand response, energy storage will be needed. Most of such studies need to combine with the load profile at domestic level, but resources of household load profiles are quite scarce. We propose a rule based domestic load profile generator which allows the users to choose whatever appliance profiles to add to the household. We also simulate a household's power consumption considering typical resident load patterns and schedules. Results from the case study show that the generated profile closely resemble the real domestic profile with similar resident loads.

Key concepts: Load profile, Renewable energy, Generator (circuit theory), Smart grid, Computer science, Load shifting, Load balancing (electrical power), Grid

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