Abstract
This paper focuses on short-range distribution system planning using a probabilistic approach. Empirical probabilistic distributions of load demand and distributed generations are derived from the historical measurement data and incorporated into the system planning. Simulations with various feasible scenarios are performed based on a local distribution system at Støvring in Denmark. Simulation results provide more accurate and insightful information for the decision-maker when using the probabilistic analysis than using the worst-case analysis, so that a better planning can be achieved.
Original language | English |
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Title of host publication | Proceedings of Asia-Pacific Power and Energy Engineering Conference (APPEEC 2009) |
Publisher | IEEE |
Publication date | 2009 |
Pages | 1-4 |
ISBN (Electronic) | 978-1-4244-2487-0 |
DOIs | |
Publication status | Published - 2009 |
Event | Asia-Pacific Power and Energy Engineering Conference (APPEEC 2009) - Wuhan, China Duration: 28 Mar 2009 → 31 Mar 2009 Conference number: 1 |
Conference
Conference | Asia-Pacific Power and Energy Engineering Conference (APPEEC 2009) |
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Number | 1 |
Country/Territory | China |
City | Wuhan |
Period | 28/03/2009 → 31/03/2009 |
Keywords
- Distribution system planning
- Distributed generation
- Probabilistic analysis
- Short-range planning
- Uncertainty