  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.
