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

Roberto Rocchetta; Edoardo Patelli

doi:10.1109/ICSRS.2017.8272792

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

Roberto Rocchetta, Edoardo Patelli

Civil And Environmental Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

5 Citations (Scopus)

1 Downloads (Pure)

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.

Original language	English
Title of host publication	2017 2nd International Conference on System Reliability and Safety
Place of Publication	Piscataway, NJ
Pages	31-35
Number of pages	5
DOIs	https://doi.org/10.1109/ICSRS.2017.8272792
Publication status	Published - 1 Feb 2018
Event	2nd International Conference on System Reliability and Safety, ICSRS 2017 - Milan, Italy Duration: 20 Dec 2017 → 22 Dec 2017

Conference

Conference	2nd International Conference on System Reliability and Safety, ICSRS 2017
Country/Territory	Italy
City	Milan
Period	20/12/17 → 22/12/17

Keywords

heat pumps
interconnected grids reliability
renewable power
sensitivity
stochastic optimisation

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10.1109/ICSRS.2017.8272792

Rocchetta-Patelli-ICSRS2017-Stochastic-analysis-and-reliability-cost-optimization-of-distributed-generatorsAccepted author manuscript, 579 KB

Cite this

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title = "Stochastic analysis and reliability-cost optimization of distributed generators and air source heat pumps",

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.",

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doi = "10.1109/ICSRS.2017.8272792",

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Rocchetta, R & Patelli, E 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. Piscataway, NJ, pp. 31-35, 2nd International Conference on System Reliability and Safety, ICSRS 2017, Milan, Italy, 20/12/17. https://doi.org/10.1109/ICSRS.2017.8272792

TY - GEN

T1 - Stochastic analysis and reliability-cost optimization of distributed generators and air source heat pumps

AU - Rocchetta, Roberto

AU - Patelli, Edoardo

N1 - © 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.

PY - 2018/2/1

Y1 - 2018/2/1

N2 - 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.

AB - 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.

KW - heat pumps

KW - interconnected grids reliability

KW - renewable power

KW - sensitivity

KW - stochastic optimisation

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DO - 10.1109/ICSRS.2017.8272792

M3 - Conference contribution book

AN - SCOPUS:85046673970

SN - 9781538633229

SP - 31

EP - 35

BT - 2017 2nd International Conference on System Reliability and Safety

CY - Piscataway, NJ

T2 - 2nd International Conference on System Reliability and Safety, ICSRS 2017

Y2 - 20 December 2017 through 22 December 2017

ER -

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

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