EURO-Online login
- New to EURO? Create an account
- I forgot my username and/or my password.
- Help with cookies
(important for IE8 users)
3602. Multiperiod Planning Model for Long-Term Expansion of Energy Distribution Systems Considering Advanced Reliability Topics
Invited abstract in session WB-22: Capacity expansion planning for energy systems, stream Energy Management.
Wednesday, 10:30-12:00Room: 81 (building: 116)
Authors (first author is the speaker)
1. | Alejandra Tabares
|
Industrial engineering, Los Andes University | |
2. | Julian Andrés Infante
|
Universidad de los Andes | |
3. | Ana Maria Montes
|
Administración, Universidad de los Andes |
Abstract
In energy distribution networks, adequate investment planning is crucial not only for meeting the demands of established load points within the network but also for maintaining specific reliability standards. These two objectives, which involve meeting the demand economically and ensuring adequate service reliability levels, are highly dependent on the investments made in the electrical network. Therefore, this paper presents a mathematical model that incorporates both criteria to determine investment decisions in distribution networks. The developed model incorporates various types of investments, commonly found in long-term projects, such as investments in substations and circuits, which are evaluated over multiple investment periods. Moreover, a set of constraints is utilized to account for potential outage scenarios in the networks and assess the robustness of the investments against them; this includes considering circuit breakers as essential network structures for conducting network reconfigurations that minimize the number of users affected by outages. As a result, cost benefits were observed when incorporating decisions regarding the investment in circuit breakers, circuits, substations, and necessary upgrades due to the increase in network demand. The final study was conducted using a 14-node and a 27-node model.
Keywords
- Convex Optimization
- Optimization Modeling
- Reliability
Status: accepted
Back to the list of papers