Abstract
Abstract
With the advancement of electricity market reform and the influence of new entities, electricity market transactions have formed a diversified development trend, which puts forward higher requirements for transaction technology support systems. In the trading market a few days ago, power producers participated in the bidding of electricity generation. The trading center gave the optimal trading plan and settlement price under the condition of satisfying the safety constraints of the power grid according to the published competitive load curve and the declared data of power generation companies. The commodities traded in the electricity market are electric energy and various services necessary for the realization of electric energy trading, so the trading in the electricity market is very different from the traditional generation plan. Only by establishing the bidding trading plan model of the trading center can the trading plan be carried out, thus forming the power purchase plan for the power generation company. This paper analyzes the basic sources and characteristics of big data in the power market, obtains the characteristic values of big data attributes of mutual benefit and win-win of both parties through the model, and realizes the visualization of transaction price.
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