With the further development of deregulated electricity market in many other countries around the world, a lot of challenges have been identified for market data management, network topology processing and fast market-clearance mechanism design. In this paper, a graph computing framework based on TigerGraph database is proposed to solve a security constrained unit commitment (SCUC) and security constrained economic dispatch (SCED) problem, with parallelized graph power flow (PGPF) and innovative LU decomposition techniques, for electricity market-clearance. It also provides a comprehensive visualization platform to demonstrate the market clearing results vividly, such as locational marginal price (LMP), and is able to be utilized for electricity market operators' education and training purpose.
@article{arxiv.1804.03517,
title = {Graph based Platform for Electricity Market Study, Education and Training},
author = {Tao Chen and Chen Yuan and Guangyi Liu and Renchang Dai},
journal= {arXiv preprint arXiv:1804.03517},
year = {2018}
}
Comments
To be published (Accepted) in: Proceedings of the Power and Energy Society General Meeting (PESGM), Portland, OR, 2018