Uncertain Reasoning of Distribution Network Planning for Distributed Generator

DOI

10.2991/epee-16.2016.19How to use a DOI?

Keywords

distribution network; network planning; distributed generation; uncertainty; fuzzy

Abstract

In order to study the impact of distributed generation (DG) in distribution network planning, a fuzzy programming approach is proposed. Triangular fuzzy numbers are used to describe the uncertainty of DG. Based on credibility theory, the network planning model is established. Fuzzy power flow is calculated, and the fitness function is determined based on the power flow results, and genetic algorithm (GA) is proposed to solve the model. The simulation results of the proposed approach are compared with other planning methods, the effectiveness of the propose approach is proved.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jiong Yan
AU  - Fei Wang
PY  - 2016/10
DA  - 2016/10
TI  - Uncertain Reasoning of Distribution Network Planning for Distributed Generator
BT  - Proceedings of the 2016 International Conference on Energy, Power and Electrical Engineering
PB  - Atlantis Press
SP  - 85
EP  - 88
SN  - 2352-5401
UR  - https://doi.org/10.2991/epee-16.2016.19
DO  - 10.2991/epee-16.2016.19
ID  - Yan2016/10
ER  -