Stochastic interval-based optimal offering model for residential energy management systems by household owners
Artikel i vetenskaplig tidskrift, 2019

This paper proposes an optimal bidding strategy for autonomous residential energy management systems. This strategy enables the system to manage its domestic energy production and consumption autonomously, and trade energy with the local market through a novel hybrid interval-stochastic optimization method. This work poses a residential energy management problem which consists of two stages: day-ahead and real-time. The uncertainty in electricity price and PV power generation is modeled by interval-based and stochastic scenarios in the day-ahead and real-time transactions between the smart home and local electricity market. Moreover, the implementation of a battery included to provide energy flexibility in the residential system. In this paper, the smart home acts as a price-taker agent in the local market, and it submits its optimal offering and bidding curves to the local market based on the uncertainties of the system. Finally, the performance of the proposed residential energy management system is evaluated according to the impacts of interval optimistic and flexibility coefficients, optimal bidding strategy, and uncertainty modeling. The evaluation has shown that the proposed optimal offering model is effective in making the home system robust and achieves optimal energy transaction. Thus, the results prove that the proposed optimal offering model for the domestic energy management system is more robust than its non-optimal offering model. Moreover, battery flexibility has a positive effect on the system's total expected profit. With regarding to the bidding strategy, it is not able to impact the smart home's behavior (as a consumer or producer) in the day-ahead local electricity market.

Energy management

Stochastic programming

Interval optimization

Bidding strategy

Smart home

Författare

Amin Shokri Gazafroudi

Universidad de Salamanca

João Soares

Instituto Politecnico do Porto

Mohammad Ali Fotouhi Ghazvini

Chalmers, Elektroteknik, Elkraftteknik, Elnät och komponenter

Tiago Pinto

Universidad de Salamanca

Zita Vale

Instituto Politecnico do Porto

Juan Manuel Corchado

Universidad de Salamanca

Osaka Institute of Technology

International Journal of Electrical Power and Energy Systems

0142-0615 (ISSN)

Vol. 105 201-219

Ämneskategorier

Inbäddad systemteknik

Energisystem

Annan elektroteknik och elektronik

DOI

10.1016/j.ijepes.2018.08.019

Mer information

Senast uppdaterat

2018-09-03