A Novel Reconfiguration Method in Smart Distribution Grid Considering Interval Data and Distributed Generation

DOI

10.2991/cisia-15.2015.8How to use a DOI?

Keywords

distribution reconfiguration; interval analysis; reliability; data uncertainty

Abstract

This paper investigates optimal network recon?guration problem considering data uncertainties, with the integration of distributed generation (DG) in distribution grid. The proposed network reconfiguration formulation is formed as a multi-objective optimization problem. Through normalization of each objective function, the multi-objective optimization is transformed to single-objective optimization. The optimization problem is further solved by combining Binary Particle Swarm Optimization (BPSO) and Harmony Search Algorithm (HSA) considering DG integration, where BPSO is utilized to solve the reconfiguration problem, and DG placement is optimized based on the optimal network structure using improved HSA. Interval analysis is applied to deal with parameter uncertainties. Numerical tests on IEEE 33-bus, PG&E 69-bus show the applicability of the proposed method. The computational result indicates that the proposed algorithm for optimal network reconfiguration is feasible and effective.

Copyright

© 2015, 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  - W. Dai
AU  - W.X. Sheng
AU  - K.Y. Liu
AU  - Y. Sheng
AU  - Z.J. Ye
PY  - 2015/06
DA  - 2015/06
TI  - A Novel Reconfiguration Method in Smart Distribution Grid Considering Interval Data and Distributed Generation
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 25
EP  - 28
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.8
DO  - 10.2991/cisia-15.2015.8
ID  - Dai2015/06
ER  -