Air conditioner time-sharing scheduling method based on demand response

Abstract

The invention belongs to the technical field of intelligent power grids, and particularly relates to an air conditioner time-sharing scheduling method based on demand response. The air conditioner time-sharing scheduling method based on demand response includes the steps that a power supply operator installs photovoltaic power generation devices connected to the grid for users; the users are classified into two categories according to the temperature variation ranges set for air conditioners by the users, and the users form an alliance along with the photovoltaic power generation devices; the photovoltaic power generation quantity, the baseline load, the power grid power price, the indoor temperature, the outdoor temperature and the rated power of the air conditioners at the current time are obtained; according to the different time periods of the summit time, the flat time and the low tide time of the current power grid power price, the indoor temperature and the outdoor temperature, and in combination with the current photovoltaic power generation quantity, the start and stop of the air conditioners are controlled; the profits gained by the alliance are calculated, the contribution of the two categories of users and the photovoltaic power generation devices to the profits of the alliance is quantified through a Sharpley value method and the profits are distributed. The air conditioner time-sharing scheduling method based on demand response effectively improves the profits of the users and elimination of the photovoltaic resources on the spot, is low in time complexity and low in calculation cost and can be easily achieved on the user side.

Description

technical field [0001] The invention belongs to the technical field of smart grids, and in particular relates to a method for time-sharing scheduling of air conditioners based on demand response. Background technique [0002] Demand response technology refers to the market participation behavior in which users respond to electricity price signals or incentive mechanisms and adjust normal electricity consumption patterns. Introducing demand response technology on the user side, mobilizing the enthusiasm of the demand side to participate in the market through market prices or incentive mechanisms, and integrating comprehensive resources between the power supply side and the power consumption side are inevitable trends in the future development of the electricity market. In incentive-based demand response, the incentive mechanism acts as an intermediate factor to guide users to reduce load in time. The representative control method is direct load control. This method can simp...

AI Technical Summary

Problems solved by technology

This method can simply and directly achieve the effect of demand response, but at the same time, it needs to take into account the comfort of users and provide economic compensation for users

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