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 |
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| Title of host publication | 2017 2nd International Conference on System Reliability and Safety (ICSRS) |
| Place of Publication | Piscataway |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 31-35 |
| Number of pages | 5 |
| ISBN (Electronic) | 978-1-5386-3322-9 |
| DOIs | |
| Publication status | Published - 29 Jan 2018 |
| Externally published | Yes |
| Event | 2nd International Conference on System Reliability and Safety (ICSRS) - Milan, Italy Duration: 20 Dec 2017 → 22 Dec 2017 |
Conference
| Conference | 2nd International Conference on System Reliability and Safety (ICSRS) |
|---|---|
| Country/Territory | Italy |
| City | Milan |
| Period | 20/12/17 → 22/12/17 |
Keywords
- heat pumps
- interconnected grids reliability
- renewable power
- sensitivity
- stochastic optimisation
