A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Network-Constrained Optimal Scheduling of Multi-Carrier Residential Energy Systems : A Chance-Constrained Approach
This paper presents a day-ahead scheduling approach for a multi-carrier residential energy system (MRES) including distributed energy resources (DERs). The main objective of the proposed scheduling approach is the minimization of the total costs of an MRES consisting of both electricity and gas energy carriers. The proposed model considers both electrical and natural gas distribution networks, DER technologies including renewable energy resources, energy storage systems (ESSs), and combined heat and power. The uncertainties pertinent to the demand and generated power of renewable resources are modeled using the chance-constrained approach. The proposed model is applied on the IEEE 33-bus distribution system and 14-node gas network, and the results demonstrate the efficacy of the proposed approach in the matters of diminishing the total operation costs and enhancing the reliability of the system. ; © 2021 IEEE. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/. ; fi=vertaisarvioitu|en=peerReviewed|
Network-Constrained Optimal Scheduling of Multi-Carrier Residential Energy Systems : A Chance-Constrained Approach
This paper presents a day-ahead scheduling approach for a multi-carrier residential energy system (MRES) including distributed energy resources (DERs). The main objective of the proposed scheduling approach is the minimization of the total costs of an MRES consisting of both electricity and gas energy carriers. The proposed model considers both electrical and natural gas distribution networks, DER technologies including renewable energy resources, energy storage systems (ESSs), and combined heat and power. The uncertainties pertinent to the demand and generated power of renewable resources are modeled using the chance-constrained approach. The proposed model is applied on the IEEE 33-bus distribution system and 14-node gas network, and the results demonstrate the efficacy of the proposed approach in the matters of diminishing the total operation costs and enhancing the reliability of the system. ; © 2021 IEEE. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/. ; fi=vertaisarvioitu|en=peerReviewed|
Network-Constrained Optimal Scheduling of Multi-Carrier Residential Energy Systems : A Chance-Constrained Approach
Habibifar, Reza (author) / Ranjbar, Hossein (author) / Shafie-khah, Miadreza (author) / Ehsan, Mehdi (author) / Catalão, João P.S. (author) / fi=Vaasan yliopisto|en=University of Vaasa| / orcid:0000-0003-1691-5355 / fi=Tekniikan ja innovaatiojohtamisen yksikkö|en=School of Technology and Innovations| / Vebic
2021-06-10
URN:NBN:fi-fe2022032124225
WOS:000674082600001 ; Scopus:85112361976
Article (Journal)
Electronic Resource
English
DDC:
690
Chance Constrained Optimal Design of Trapezoidal Channels
| Online Contents | 2008
Chance Constrained Optimal Design of Trapezoidal Channels
| British Library Online Contents | 2008
| American Institute of Physics | 2024
Optimal Groundwater Remediation Design by Chance-Constrained Programming
| British Library Conference Proceedings | 1997
Chance-Constrained Optimal Monitoring Network Design for Pollutants in Ground Water
| British Library Online Contents | 1996