Graph based Platform for Electricity Market Study, Education and Training
This work addresses electricity market operators' needs for education and training, but it is incremental as it applies existing graph database methods to a specific domain problem.
The paper tackles the challenges of electricity market data management and fast market-clearance by proposing a graph computing framework based on TigerGraph database to solve security constrained unit commitment and economic dispatch problems, achieving parallelized graph power flow and innovative LU decomposition techniques for efficient processing.
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.