Air conditioner load double-layer optimization scheduling method based on temperature regulation start-stop hybrid control mode

Abstract

The invention relates to an air conditioner load double-layer optimization scheduling method based on a temperature adjustment start-stop hybrid control mode, and the method is characterized in that the method comprises the following steps: 1), building an excitation-based electric power company, load aggregator and user interaction model; 2) obtaining related parameter information of the power distribution network according to a grid structure of the power distribution network, determining related constraints of the power distribution network according to the related parameter information, and constructing an upper scheduling model of an electric power company; 3) obtaining load aggregator user related information according to the information link, determining air conditioner load temperature adjustment control related constraints and start-stop control related constraints according to the information, and constructing a load aggregator lower-layer scheduling model; and 4) constructing an air conditioner load double-layer optimization scheduling model based on a temperature regulation start-stop hybrid control mode, and solving an optimal solution of the double-layer optimization model as a scheduling scheme to perform optimization scheduling control. Compared with the prior art, the method improves the response effect of the air conditioner power at the response transition position, is high in scheduling speed, keeps the aggregation power stable, and has good application prospects. And distributed photovoltaic absorption is promoted.

Description

technical field [0001] The invention relates to the field of distribution network control and scheduling, in particular to a double-layer optimal scheduling method for air conditioning loads based on a mixed control mode of temperature regulation, start-stop and shutdown. Background technique [0002] Distributed photovoltaic residual power in low-voltage distribution network is likely to cause problems such as node voltage over-limit and line overload. Existing control methods are mostly aimed at the regulation of active and reactive power of photovoltaic inverters, and sometimes it is necessary to take measures to abandon light, which reduces the utilization rate of photovoltaics. Demand response (DR) technology has the advantages of flexible response and high controllability. . [0003] In the optimal operation of the distribution network, considering the interactive modeling of power companies, load aggregators and users, a two-tier optimal dispatch model for air condit...

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Problems solved by technology

[0003] In the optimal operation of the distribution network, considering the interactive modeling of power companies, load aggregators and users, the establishment of a two-tier optimal dispatch model for air-conditioning loads can effectively help absorb distributed photovoltaic surplus power and reduce its impact on the d

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