Imperial College London
Alternate

Professor Goran Strbac

Faculty of Engineering, Department of Electrical and Electronic Engineering

Chair in Electrical Energy Systems
 
 
 
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Contact

 

+44 (0)20 7594 6169g.strbac

 
 
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Assistant

 

Miss Guler Eroglu +44 (0)20 7594 6170

 
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Location

 

1101Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Sun:2018:10.1016/j.energy.2017.12.154,
author = {Sun, M and Teng, F and Konstantelos, I and Strbac, G},
doi = {10.1016/j.energy.2017.12.154},
journal = {Energy},
pages = {871--885},
title = {An objective-based scenario selection method for transmission network expansion planning with multivariate stochasticity in load and renewable energy sources},
url = {http://dx.doi.org/10.1016/j.energy.2017.12.154},
volume = {145},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Transmission Network Expansion Planning (TNEP) in modern electricity systems is carried out on a cost-benefit analysis basis; the planner identifies investments that maximize the social welfare. As the integration of Renewable Energy Sources (RES) increases, there is a real challenge to accurately capture the vast variability that characterizes system operation within a planning problem. Conventional approaches that rely on a large number of scenarios for representing the variability of operating points can quickly lead to computational issues. An alternative approach that is becoming increasingly necessary is to select representative scenarios from the original population via clustering techniques. However, direct clustering of operating points in the input domain may not capture characteristics which are important for investment decision-making. This paper presents a novel objective-based scenario selection framework for TNEP to obtain optimal investment decisions with a significantly reduced number of operating states. Different clustering frameworks, clustering variable s and clustering techniques are compared to determine the most appropriate approach. The superior performance of the proposed framework is demonstrated through a case study on a modified IEEE 118-bus system.
AU  - Sun,M
AU  - Teng,F
AU  - Konstantelos,I
AU  - Strbac,G
DO  - 10.1016/j.energy.2017.12.154
EP  - 885
PY  - 2018///
SN  - 0360-5442
SP  - 871
TI  - An objective-based scenario selection method for transmission network expansion planning with multivariate stochasticity in load and renewable energy sources
T2  - Energy
UR  - http://dx.doi.org/10.1016/j.energy.2017.12.154
UR  - https://www.sciencedirect.com/science/article/pii/S0360544217321977
UR  - http://hdl.handle.net/10044/1/55703
VL  - 145
ER  -
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