Go to:
Logótipo
Comuta visibilidade da coluna esquerda
Você está em: Start > Publications > View > A Price-Based Strategy to Coordinate Electric Springs for Demand Side Management in Microgrids
Publication

Publications

A Price-Based Strategy to Coordinate Electric Springs for Demand Side Management in Microgrids

Title
A Price-Based Strategy to Coordinate Electric Springs for Demand Side Management in Microgrids
Type
Article in International Scientific Journal
Year
2023
Authors
Quijano, DA
(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
Vahid Ghavidel, M
(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. View Authenticus page Without ORCID
Javadi, MS
(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. View Authenticus page Without ORCID
Padilha Feltrin, A
(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
Vol. 14
Pages: 400-412
ISSN: 1949-3053
Publisher: IEEE
Other information
Authenticus ID: P-00W-ZQD
Abstract (EN): Electric springs (ESs) have proven effective for integrating renewable generation into power systems. An ES connected in series with a non-critical load forms a smart load whose consumption can be dynamically controlled for voltage regulation and demand side management. In most existing applications, smart loads have been devoted to providing services to the grid without accounting for their own interests. The novelty of this paper is to propose a price-based strategy to coordinate the operation of multiple ESs in microgrids. Smart loads consisting of ESs connected to electric water heaters are modeled as rational agents that locally optimize their own objectives by adjusting their consumption schedules in response to price/control signals. Such signals are determined at the microgrid central controller (MGCC) when solving the microgrid operation scheduling problem formulated to minimize the microgrid operation cost taking into account the smart loads' consumption schedules. An iterative optimization algorithm determines the equilibrium between the microgrid and smart loads' objectives requiring only the exchange of price/control signals and power schedules between the local controllers and the MGCC. Case studies show the effectiveness of the proposed strategy to economically benefit both the microgrid and smart loads when scheduling their operation.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 13
Documents
We could not find any documents associated to the publication.
Related Publications

Of the same journal

Introduction to the Special Section on Real-Time Demand Response (2013)
Another Publication in an International Scientific Journal
Catalao, JPS; Contreras, J; Bakirtzis, A; Wang, JH
Trading Small Prosumers Flexibility in the Energy and Tertiary Reserve Markets (2019)
Article in International Scientific Journal
J. P. Iria; F. J. Soares; Manuel A. Matos
Synchronous Pattern Matching Principle-Based Residential Demand Response Baseline Estimation: Mechanism Analysis and Approach Description (2018)
Article in International Scientific Journal
Fei Wang; Kangping Li; Chun Liu; Zengqiang Mi; Miadreza Shafie-Khah; João P. S. Catalão
Stochastic Modeling of Multienergy Carriers Dependencies in Smart Local Networks With Distributed Energy Resources (2015)
Article in International Scientific Journal
Neyestani, N; Yazdani Damavandi, M; Shafie Khah, M; Chicco, G; Catalao, JPS
Smart Household Operation Considering Bi-Directional EV and ESS Utilization by Real-Time Pricing-Based DR (2015)
Article in International Scientific Journal
Erdinc, O; Paterakis, NG; Mendes, TDP; Bakirtzis, AG; Catalao, JPS

See all (46)

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: 2025-07-19 at 05:07:14 | Privacy Policy | Personal Data Protection Policy | Whistleblowing