Czasopismo | PRZEGLĄD ELEKTROTECHNICZNY | Rocznik 2017 - zeszyt 3

A home energy management algorithm in demand response events for household peak load reduction

10.15199/48.2017.03.46

nr katalogowy: 104332
10.15199/48.2017.03.46

In the last decades, home energy consumption has increased significantly due to increasing load demand in the residential sector. This paper presents a home energy management (HEM) algorithm to manage the home appliances in a house during a demand response (DR) event. The developed algorithm considers load appliances according to customer preference setting, priority of appliance, and comfortable lifestyle that can be changed at any given time and performs DR at appliance level. The load models are developed based on the operational and physical characteristics for the purpose of DR strategies. Appropriate residential load models are required to support the DR strategies and therefore air conditioner, water heater, electric vehicle and washing machine are chosen as the loads. The proposed HEM algorithm is shown to be effective in managing power consumption at appliances level and can maintain the total household power consumption below its demand limit (DL) without affecting the comfort level. Streszczenie. W artykule predstawiono algorytm do zarządzania konsumpcja energii w gospodarstwach domowych. Algorytm zarządza enegią przy założonym poziomie dopuszczalnego limitu I bazuje na charakterystykach urządzeń podłączonych do sieci. Algorytm zarządzania konsumpcj a enegii w gospodarstwach domowych Keywords: Home energy management, demand response, smart appliance, energy efficiency, peak load reduction. Słowa kluczowe: konsumpcja energii, gospodarstwo domowe, algorytm HEM Introduction Electricity power consumption varies between seasons of the year, and days of the week, where the highest peak hour demands typically happens when the weather temperature is high. In several situations, especially in the summer season, end user has to pay more than the normal electricity price because of increased energy consumption for cooling purposes [1]. Residential load represents the largest energy consumption and to reduce the electricity generation [...]

Bibliografia

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