Go to:
Logótipo
Comuta visibilidade da coluna esquerda
Você está em: Start > Publications > View > Stochastic programming model for scheduling demand response aggregators considering uncertain market prices and demands
Publication

Publications

Stochastic programming model for scheduling demand response aggregators considering uncertain market prices and demands

Title
Stochastic programming model for scheduling demand response aggregators considering uncertain market prices and demands
Type
Article in International Scientific Journal
Year
2019
Authors
Homa Rashidizadeh-Kermania
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Mostafa Vahedipour-Dahraie
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Miadreza Shafie-khah
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Journal
Other information
Authenticus ID: P-00Q-NK6
Abstract (EN): This paper proposes a stochastic decision making model for a demand response (DR) aggregator as an interface between the market and customers in a competitive environment. The DR aggregator participates in day-ahead (DA) energy and balancing markets as well as offers selling price to the customers to maximize its expected profit, considering the reaction of customers to the rivals' offering prices. Moreover, the effect of load reduction due to implementing DR contracts on the decision making process of the DR aggregator is assessed. However, the main focus is on the operation of both shiftable and sheddable loads in price-based DR programs with detail. In order to investigate the behavior of different DR actions from the DR aggregator viewpoint, the restrictions imposed by the preferences of customers to the decisions made by the DR aggregators are modeled via a bi-level stochastic programming approach. The upper level represents the decisions made by the DR aggregator, while the lower level models the customers' behavior. To deal with various uncertainties, a risk-constrained scenario-based stochastic programming framework is presented where the DR aggregator's risk aversion is modeled using conditional value at risk (CVaR) method. Finally, a detailed illustrative case study based on the Nordic energy market data is provided and the effects of different DR actions and risk aversion factor on the profit of the aggregator are analyzed.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 11
Documents
We could not find any documents associated to the publication.
Related Publications

Of the same journal

Wavelet-based analysis and detection of traveling waves due to DC faults in LCC HVDC systems (2019)
Article in International Scientific Journal
Daniel Marques da Silva; Flavio B. Costa; Vladimiro Miranda; Helder Leite
Two-stage stochastic model for the price-based domestic energy management problem (2019)
Article in International Scientific Journal
Amin Shokri Gazafroudi; Miadreza Shafie-khah; Ehsan Heydarian-Forushani; Amin Hajizadehd ; Alireza Heidari; Juan Manuel Corchado; João P. S. Catalão
Transmission switching, demand response and energy storage systems in an innovative integrated scheme for managing the uncertainty of wind power generation (2018)
Article in International Scientific Journal
Jamshid Aghaei; Ahmad Nikoobakht; Mohammad Mardaneh; Miadreza Shafie-khah; João P. S. Catalão
Strategic bidding of virtual power plant in energy markets: A bi-level multi-objective approach (2019)
Article in International Scientific Journal
Morteza Shafiekhania; Ali Badri; Miadreza Shafie-khah; João P. S. Catalão
Robust optimization framework for dynamic distributed energy resources planning in distribution networks (2019)
Article in International Scientific Journal
Babak Jeddi; Vahid Vahidinasab; Parviz Ramezanpour; Jamshid Aghaei; Miadreza Shafie-khah; João P. S. Catalão

See all (28)

Recommend this page Top
Copyright 1996-2025 © Faculdade de Direito da Universidade do Porto  I Terms and Conditions  I Acessibility  I Index A-Z
Page created on: 2025-07-09 at 16:34:51 | Privacy Policy | Personal Data Protection Policy | Whistleblowing