Conditional value-at-risk model for smart home energy management systems

e-Prime: Advances in Electrical Engineering, Electronics and Energy

Ali Esmaeel Nezhad¹  Pedro H.J. Nardelli²  João P.S. Catalão²  Amjad Anvari-Moghaddam³  Mohamed Lotfi³  Mohammad Sadegh Javadi⁴  Matthew Gough⁵  Subham Sahoo⁵ 

[1] Corresponding author.;Department of Energy (AAU Energy), Aalborg University, 9220 Aalborg, Denmark;Faculty of Engineering of the University of Porto and INESC TEC, Porto 4200-465, Portugal;Institute for Systems and Computer Engineering, Technology and Science (INESCTEC), 4200-465 Porto, Portugal;School of Energy Systems, LUT University, 53850 Lappeenranta, Finland;

关键词: Demand response;    Discomfort index;    Home energy management system;    Air Conditioning System;    Time of Use Tariff;   

DOI  :  

来源: DOAJ

【 摘 要 】

This paper presents a self-scheduling framework, using a risk-constrained optimization model for the home energy management system (HEMS), considering fixed, controllable, and interruptible loads, as a new contribution to earlier studies. The objectives are reducing the electricity bill and managing the risk of purchasing energy over on-peak hours and prosumer's discomfort index (DI) due to shifting load to undesired hours. In this regard, the problem formulation is represented as a mixed-integer linear programming (MILP) model. Afterward, the proposed HEMS is promoted to a conditional value-at-risk (CVaR) model. The prosumer is equipped with an energy storage system and a solar photovoltaic (PV) panel. A substantial fraction of the load demand is controllable, and there is an inverter-based heating, ventilation, and air conditioning (HVAC), where HVAC is modeled as a variable-capacity interruptible load. The optimal scheduling of the loads is supposed to be done by the proposed HEMS, and the time-of-use (TOU) mechanism is utilized, including three price steps over the day. The results, obtained from thoroughly simulating the problem using household data, validate the performance of the presented HEMS in mitigating the amount of the electricity bill, while keeping the discomfort index of the prosumer at a desired level.

【 授权许可】

Unknown