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

Roberto Rocchetta, Edoardo Patelli

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)


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.
Original languageEnglish
Title of host publication2017 2nd International Conference on System Reliability and Safety (ICSRS)
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)978-1-5386-3322-9
Publication statusPublished - 29 Jan 2018
Externally publishedYes
Event2nd International Conference on System Reliability and Safety (ICSRS) - Milan, Italy
Duration: 20 Dec 201722 Dec 2017


Conference2nd International Conference on System Reliability and Safety (ICSRS)


  • heat pumps
  • interconnected grids reliability
  • renewable power
  • sensitivity
  • stochastic optimisation

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