Peak-valley time-of-use power price determining method taking both system reliability and power purchase risk into consideration

Abstract

The invention discloses a peak-valley time-of-use power price determining method taking both system reliability and power purchase risk into consideration. The peak-valley time-of-use power price determining method mainly includes firstly establishing a power price fluctuation matrix under peak-valley time-of-use power price; then establishing a power grid running enterprise profit model taking both line loss cost and power purpose risk into consideration; setting up a functional relation of system reliability changing as load; finally establishing a peak-valley time-of-use power price optimizing model taking both system reliability and power purchase risk into consideration. Via time-of-use power price adjustment, users are motivated to actively participate in power price response, so that without extra investment of a power grid running enterprise, power supply reliability of the power grid is improved, and power failure loss is reduced. Meanwhile, profits of the power grid running enterprise are increased, power purchase risk is reduced, and a win-win situation is created for the users and the power grid running enterprise.

Description

technical field [0001] The invention relates to a period-based electricity price formulation technology, in particular to a peak-valley time-of-use electricity price determination method that takes into account system reliability and electricity purchase risks, and belongs to the technical field of electricity price mechanisms in electric power markets. Background technique [0002] As a new type of resource in the electricity market, demand response can effectively alleviate the tension of electricity supply to a certain extent. Demand response can improve the reliability of power supply while alleviating the shortage of power supply by guiding users to use electricity reasonably. Peak-valley time-of-use electricity price is an effective demand response method. It guides users to make reasonable electricity consumption plans by appropriately increasing electricity prices during peak load hours and appropriately reducing electricity prices during trough hours, so as to trans...

AI Technical Summary

Problems solved by technology

The reliability of the power system and the risk of power trading are closely related to the fluctuation of the load. Therefore, in the optimization process of most peak-valley time-of-use electricity price models, the objective function is to minimize the peak-valley difference or the minimum peak load, but the load The peak-to-valley difference or the peak load cannot represent the reliability of the system and the income of the power grid operating enterprises in the presence of power purchase risks

Images