Power market concurrent transaction-based power generator transaction capability management and control system and method

Abstract

The power market concurrent transaction-based power generator transaction capability management and control system comprises a contract decomposition module used for decomposing electric quantity in long-term contracts in each power generator of a transaction system based on a space-time identifier by adopting a case matching method to obtain a power curve with the space-time identifier; a data monitoring module for calculating the maximum possible power generation capacity of the power generator based on a transaction capacity calculation formula, performing update calculation of concurrent transaction capacity data based on the maximum possible power generation capacity of the power generator and the power curve with the time-space identifier, and monitoring the updated concurrent transaction capacity data based on a preset concurrent transaction capacity verification rule. The case matching method is adopted to decompose medium and long term contracts, and the reliability of power transaction is improved.

Description

technical field [0001] The invention relates to a method for managing an electric power market, in particular to a transaction management and control system and method for power suppliers based on concurrent transactions in the electric power market. Background technique [0002] The trading business systems of the electricity market belong to different platforms, the unit model standards are not uniform, the business and modules are strongly coupled and correlated, and the system scalability is poor. Moreover, the existing power transaction data management and control technology only targets limited types of transactions such as annual, monthly, and intra-month medium and long-term transactions. In recent years, the power market has developed rapidly, and it is imperative to build a unified and interconnected trading market. [0003] With the in-depth advancement of the construction of a unified and interconnected electricity market, the types of transactions continue to in...

AI Technical Summary

Problems solved by technology

However, this has brought about the impact on the trading center that it is impossible to grasp the real trading capabilities of power generators in real time

[0005] At present, the contract decomposition adopts the "commonly used curve decomposition method", that is, the decomposition coefficients of year, month and month are determined artificially based on experience. The coefficient for working days is 1, and the coefficient for rest days is 0.85. The advantages of this method are: The operation is simple and easy to manage, but the disadvantage is that it lacks scientific basis and is less persuasive to market members

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