Abstract
As smart grid enablers, demand response programs for household purposes have been in highlight recently. This paper presents a detailed structure of a household user, which is capable of energy transactions among consumer and load-serving entity. The proposed household model comprises several assets including nonshiftable appliances, shiftable appliances, and electric vehicle (EV). The EV can further contribute to the vehicle-to-home and vehicle-to-grid type of connections that can reduce the household electricity payments with their bilateral energy transactions. The day-ahead dynamic prices are superimposed with peak power limiting approach to prevent the formation of new peaks. The energy transaction among neighbor enhances the reduction in daily energy payments and flexibility among users. The centralized optimization problem is formulated as mixed integer linear programming problem. The validity of the proposed system can be proven by performance evaluation of simulation results.
| Original language | English |
|---|---|
| Pages (from-to) | 980-988 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Industrial Informatics |
| Volume | 14 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Mar 2018 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Demand response (DR) programs
- electric vehicle (EV)
- smart grid
- vehicle-to-grid (V2G)
- vehicle-to-home (V2H)
- vehicle-to-neighbor (V2N)
ASJC Scopus subject areas
- Control and Systems Engineering
- Information Systems
- Computer Science Applications
- Electrical and Electronic Engineering
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