Stochastic analysis and reliability-cost optimization of distributed generators and air source heat pumps

Rocchetta, Roberto and Patelli, Edoardo; (2018) Stochastic analysis and reliability-cost optimization of distributed generators and air source heat pumps. In: 2017 2nd International Conference on System Reliability and Safety. Institute of Electrical and Electronics Engineers Inc., ITA, pp. 31-35. ISBN 9781538633229 (https://doi.org/10.1109/ICSRS.2017.8272792)

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Abstract

This paper presents a framework for stochastic analysis, simulation and optimisation of electric power grids combined with heat district networks. In this framework, distributed energy sources can be integrated within the grids and their performance is modelled. The effect of uncertain weather-operational conditions on the system cost and reliability is considered. A Monte Carlo Optimal Power Flow simulator is employed and statistical indicators of the system cost and reliability are obtained. Reliability and cost expectations are used to compare 4 different investments on heat pumps and electric power generators to be installed on a real-world grid. Generators' sizes and positions are analysed to reveal the sensitivity of the cost and reliability of the grid and an optimal investment problem is tackled by using a multi-objective genetic algorithm.

ORCID iDs

Rocchetta, Roberto and Patelli, Edoardo ORCID logoORCID: https://orcid.org/0000-0002-5007-7247;
  • Item type:Book Section
    ID code:72133
    Dates:
    Date
    Event
    1 February 2018
    Published
    30 October 2017
    Accepted
    Notes:© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Civil and Environmental Engineering
    Depositing user: Pure Administrator
    Date deposited:23 Apr 2020 09:05
    Last modified:11 Nov 2024 15:21
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/72133
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