Optimized scheduling method for active response of resident building system to microgrid

Abstract

The invention discloses an optimized scheduling method for active response of a resident building system to a microgrid. The method comprises the following steps: specific to power utilization characteristics of resident buildings, establishing a novel building energy storage system structure with flexible scheduling capability; meanwhile, based on the operating characteristic of controllable loads of different types of buildings, establishing a residential electricity consumption dissatisfaction index produced by a load response distribution network scheduling strategy; under the constraint of residential electricity consumption comfort level, solving controllable loads of buildings in different scheduling intervals and maximum schedulable margin of an energy storage system of the buildings by applying an improved particle swarm algorithm; and controlling the controllable loads of the buildings and controlling the energy storage system to respond to optimized scheduling of the microgrid by adopting a layered control strategy and being based on a principle of minimum scheduling cost. The optimized scheduling method disclosed by the invention is beneficial to deep digging of response potential of the resident building system to the scheduling of the microgrid and can effectively promote new energy power generation and consumption and improve new energy power generation grid-connected ratio of the microgrid.

Description

technical field [0001] The invention belongs to the field of electric energy dispatching of smart grids, and proposes a method for optimal dispatching of residential building systems actively responding to microgrids. Background technique [0002] In recent years, in order to cope with increasingly prominent environmental and energy problems, new energy industries have been vigorously developed at home and abroad. However, due to the intermittent and unstable nature of new energy power generation, the grid connection rate of new energy has not been effectively improved. [0003] With the development of power consumption big data and forecasting technology, source-load collaborative scheduling technology is constantly being explored. The building load at the end of the distribution network has exceeded 40% of the total electricity consumption in some large cities, and its potential to participate in the optimal dispatch of the distribution network is huge. At present, the s...

AI Technical Summary

Problems solved by technology

The traditional scheduling strategy of building systems participating in the microgrid is analytical from the economic level, without in-depth analysis of the characteristics of building power consumption, and is not suitable for the environment of high penetration rate of new energy

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