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Network-constrained optimal scheduling of multi-carrier residential energy systems: a chance-constrained approach

Habibifar, R ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.1109/ACCESS.2021.3088220
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2021
  4. Abstract:
  5. 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. © 2013 IEEE
  6. Keywords:
  7. Electric energy storage ; Housing ; Natural gas deposits ; Renewable energy resources ; Scheduling ; Chance-constrained approach ; Combined heat and power ; Distributed Energy Resources ; Distribution systems ; Energy Storage Systems (ESSs) ; Gas distribution network ; Residential energy systems ; Total operation costs ; Data storage equipment
  8. Source: IEEE Access ; Volume 9 , 2021 , Pages 86369-86381 ; 21693536 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/9450799