Measurement based scenario analysis of short-range distribution system planning

Peiyuan Chen; Birgitte Bak-Jensen; Zhe Chen; Stefan Sørensen

doi:10.1109/APPEEC.2009.4918479

Measurement based scenario analysis of short-range distribution system planning

Peiyuan Chen, Birgitte Bak-Jensen, Zhe Chen, Stefan Sørensen

AAU Energy

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

1 Citation (Scopus)

443 Downloads (Pure)

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
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	https://doi.org/10.1109/APPEEC.2009.4918479
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)
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

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10.1109/APPEEC.2009.4918479

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Cite this

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title = "Measurement based scenario analysis of short-range distribution system planning",

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 St{\o}vring 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.",

keywords = "Distribution system planning, Distributed generation, Probabilistic analysis, Short-range planning, Uncertainty",

author = "Peiyuan Chen and Birgitte Bak-Jensen and Zhe Chen and Stefan S{\o}rensen",

year = "2009",

doi = "10.1109/APPEEC.2009.4918479",

language = "English",

pages = "1--4",

booktitle = "Proceedings of Asia-Pacific Power and Energy Engineering Conference (APPEEC 2009)",

publisher = "IEEE",

address = "United States",

note = "Asia-Pacific Power and Energy Engineering Conference (APPEEC 2009) ; Conference date: 28-03-2009 Through 31-03-2009",

}

Chen, P, Bak-Jensen, B , Chen, Z & Sørensen, S 2009, Measurement based scenario analysis of short-range distribution system planning. in Proceedings of Asia-Pacific Power and Energy Engineering Conference (APPEEC 2009). IEEE, pp. 1-4, Asia-Pacific Power and Energy Engineering Conference (APPEEC 2009), Wuhan, China, 28/03/2009. https://doi.org/10.1109/APPEEC.2009.4918479

Measurement based scenario analysis of short-range distribution system planning. / Chen, Peiyuan; Bak-Jensen, Birgitte ; Chen, Zhe et al.
Proceedings of Asia-Pacific Power and Energy Engineering Conference (APPEEC 2009). IEEE, 2009. p. 1-4.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Measurement based scenario analysis of short-range distribution system planning

AU - Chen, Peiyuan

AU - Bak-Jensen, Birgitte

AU - Chen, Zhe

AU - Sørensen, Stefan

N1 - Conference code: 1

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

KW - Distribution system planning

KW - Distributed generation

KW - Probabilistic analysis

KW - Short-range planning

KW - Uncertainty

U2 - 10.1109/APPEEC.2009.4918479

DO - 10.1109/APPEEC.2009.4918479

M3 - Article in proceeding

SP - 1

EP - 4

BT - Proceedings of Asia-Pacific Power and Energy Engineering Conference (APPEEC 2009)

PB - IEEE

T2 - Asia-Pacific Power and Energy Engineering Conference (APPEEC 2009)

Y2 - 28 March 2009 through 31 March 2009

ER -

Measurement based scenario analysis of short-range distribution system planning

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