Intelligent electric park demand response strategy

Abstract

The invention discloses an intelligent electric park demand response strategy. At present, applicable subjects established by most of intelligent demand models are single residential users, so that diversity and uncertainty of a practical user group are neglected and involvement of a park formed by aggregation of a plurality of users is avoided. The intelligent electric park demand response strategy is implemented as follows: (1), flexible loads of an intelligent electric park are classified according to different demand responses; (2), corresponding demand response strategy models are established for different flexible loads; (3), a corresponding demand response strategy model is established for the intelligent electric park; and (4), effects of users in the park under different demand response strategies are calculated. According to the intelligent electric park demand response strategy, optimized scheduling is carried out on all demand response resources under different electricity price incentive mechanism effects by using user power cost minimization as an objective, so that the user power cost can be reduced and the load electricity behavior can be improved. Therefore, the intelligent electric park can participate in the demand response under a market and competitive mechanism.

Description

technical field [0001] The invention belongs to the technical field of smart grids, in particular to a demand response strategy for a smart power utilization park based on a novel load structure. Background technique [0002] After the state issued "Several Opinions on Further Deepening the Reform of the Electric Power System" in 2015, demand-side response began to face new opportunities and challenges in my country. For the power grid, demand response can improve the load curve, reduce load peaks, and reduce peak-to-valley differences, thereby reducing system operating costs and alleviating grid construction investment problems caused by load increases. For users, demand response can reduce electricity costs for users without affecting their satisfaction with electricity use. [0003] With the development of smart grids, flexible loads such as smart buildings and smart communities, and distributed power sources such as wind power, photovoltaics, energy storage, and micro g...

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Problems solved by technology

[0005] In view of the traditional demand response model considering the problems of too single user level and low model accuracy, the present invention provides a demand response strategy for smart power consumption parks, which responds to the flexible loads of smart power consumption parks according to demand from the perspective of load aggregators. Classify different methods and establish corresponding demand response strategy models, and combine traditional load participation in demand response methods and distributed power optimal scheduling to form a comprehensive demand response strategy model suitable for smart power parks

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