Improved Simplex Method Algorithm used in power Market Clearing

• Published in: Journal of physics. Conference series Vol. 1304; no. 1; pp. 12025 - 12034
• Main Authors: Yan, Cui-Hui, Liu, Fang, Hu, Chao Fan, Cui, Hui, Luo, Zhi Qiang
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.08.2019
• Subjects: Algorithms; Contracts; Design defects; Electric contacts; Electric industries; Electric power; Electricity; Electricity distribution; Physics; Resource scheduling; Security; Simplex method; Systems design
• ISSN: 1742-6588; 1742-6596; 1742-6596
• DOI: 10.1088/1742-6596/1304/1/012025

Electric power industry is the foundation of national economy and plays a key role in the development of human society. Traditional power industry is monopolized by industry and lacks market efficiency. In recent years, it is seeking breakthroughs in market-oriented reform. Although China's electricity market reform has achieved some results, but there are still lacking of market players and regional transactions, excessive data management, concentration and other defects. This puts forward higher requirements for the system design of power market trade. It is facing the electricity market security and performance challenges, the goal is to improve the electric power market transaction mode and enhance transaction security, it studied different kinds of markets transaction model to construct a perfect competitive market trade system, which based on block chaining technique. The trade model adopted different levels of multi auction which integrated intra provincial trading and inter provincial trading parts in a system. The intra province trading part adopt the model of contact trading and bidding coexist, each province carried out trading for surplus-deficit electricity on the basement of intra province demand. Here, it constructed a competitive cross-regional power market which can realize the intra-provincial contract, bidding and inter-provincial trading in day power market. The simulation results based on six provinces to shown the different conditions, and operated by the intelligent contracts. It recorded the full trading information distributed through the inter-provincial power trading algorithm in the intelligent contracts, the results has presented the amount of electricity transaction and the corresponding trading volume. It has achieved fair resource scheduling and transaction information security.