Pricing method and system for electricity prices

Abstract

The invention discloses a pricing method and system for electricity prices. The method includes steps of: forecasting the user load capacity and the distributed power supply generation capacity in each hour in the previous day in response to the new electricity price; calculating the difference between the user load capacity and the distributed power supply generation capacity in each hour in response to the new electricity price; and according to the user load capacity, the distributed power supply generation capacity, and the difference between the user load capacity and the distributed power supply generation capacity in each hour in response to the new electricity price, using the particle swarm optimization to optimize the electricity price optimization model under the pre-set agreed conditions to obtain the change amount of the electricity price corresponding to each hour and the maximum return corresponding to one day. Based on the distributed power supply short-term forecast generation capacity and cost and combined with the tou price and the step tariff, the load peak and off-peak difference is reduced, the utilization of renewable energy power generation is improved, the power consumption cost of the user is lowered and the income of the power selling company is increased.

Description

technical field [0001] The invention relates to the technical field of power distribution, in particular to an electricity price pricing method and system. Background technique [0002] With the development of science and technology in modern society, the liberalization of power distribution business shows that private capital sales companies can have independent distribution network operation rights. Under the environment of rapid development of smart grid and distributed generation technology, power sales companies can Combining electricity business with distributed power generation technology to create a business model integrating distribution and sales, which is in line with the development trend of high penetration rate of distributed energy and local consumption in the future. The cost of distributed power generated by electricity sales companies is low and the distance to the load is relatively low, so there is no need to pay additional transmission and distribution f...

AI Technical Summary

Problems solved by technology

The current domestic user electricity price model can be divided into two types: peak-valley time-of-use electricity price and tiered electricity price. Among them, the peak-valley time-of-use electricity price is a simplified form of real-time electricity price, but electricity retail companies, as the demand side of purchasing electricity from the system, also need to follow the time-of-use electricity price. From the perspective of cost, it is difficult to flexibly adjust the time and price of time-of-use electricity price; the ladder electricity price sets the user's electricity consumption into several grades, and each grade implements a different electricity price, but the ladder electricity price model has a long settlement cycle. It is mainly used to control the total electricity consumption of users for a long period of time, and has little effect in guiding users to use distributed power generation with large fluctuations

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