Load aggregator economic dispatching method considering demand response flexibility and uncertainty

Abstract

The invention relates to a load aggregator economic dispatching method considering demand response flexibility and uncertainty, and belongs to the field of power system demand response dispatching. According to the method, multi-period scheduling is adopted, and scheduling arrangement is carried out by utilizing new energy excitation electricity price and self flexibility, so that the self incomeis maximized. The method specifically comprises the following three parts: a power grid dispatching layer, used for issuing dispatching capacity and tasks through an information acquisition system toobtain electric power; an aggregator decision-making layer, used for realizing the interaction between the power grid and users by formulating a scheduling protocol, distributing and reporting schedulable capacity meeting the requirements of the power grid to the power grid scheduling layer, and issuing a scheduling plan to the load response layer; and a load response layer, used for collecting power utilization information and receiving a scheduling signal through an intelligent control terminal according to a protocol signed with the aggregator and in combination with own habits and requirements, and executing a scheduling task of the aggregator. According to the invention, the benefit of the aggregator is maximized, and the flexibility of the system is stronger.

Description

technical field [0001] The invention belongs to the field of power system demand response scheduling, and relates to a non-cooperative game multi-period economic scheduling method for small and medium user load aggregators considering the flexibility of demand response. Background technique [0002] Demand response (Demand Response, DR) refers to the process in which power users respond to prices or incentive signals, change normal power consumption habits and patterns, and finally realize power consumption optimization and comprehensive optimal allocation of system resources. Since new energy power generation generally has anti-peak-shaving characteristics, it tends to generate more power during low-load periods. With the increase in renewable energy power generation, the amount of wind and solar curtailment also increases significantly. [0003] Due to the high penetration of renewable energy, improving the flexibility of the system has become a major issue facing the grid...

AI Technical Summary

Problems solved by technology

However, there are few literatures that design a mechanism to promote the consumption of new energy from the perspective of new energy consumption, and seldom consider the interaction between different aggregators

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