Event-driven automatic demand response method considering uncertainty for microgrid

Abstract

An event-driven automatic demand response method considering uncertainty for a microgrid comprises the steps of discretizing continuous time; analyzing load demand response characteristic of a user-type microgrid, and building a system model; constructing a new real-time power price mechanism combining real-time electric price RTP and time-out-use power price IBR, and calculating to obtain power price of a current time frame k by the power price mechanism; judging whether each event is triggered or not by the system according to an automatic demand response (ADR) strategy of the even-driven mechanism, and performing on-line energy optimization on a terminal user in a RMG according to a preset priority handling event; transferring optimization time to a next moment after optimization is completed, and repeating the previous optimization steps until full-time optimization is completed. Power utilization behavior of an active load is effectively guided by economic excitation, an emergencysituation can be efficiently and timely handled, and the impact to the system caused by fluctuation new energy output also can be reduced by reasonably guiding the power utilization behavior of the active load.

Description

technical field [0001] The invention belongs to the field of household energy local area network management, and in particular relates to an event-driven micro-grid automatic demand response method considering uncertainty. Background technique [0002] Driven by the adjustment of the global energy structure, new energy and demand-side management technologies have developed rapidly. In the future, smart buildings and smart homes will widely introduce renewable energy, energy storage systems and intelligent controllable loads, especially electric vehicles (EVs). How to efficiently use new energy and realize the independent supply and demand balance in smart buildings has become the focus of current research. an important subject. [0003] Since energy consumption in buildings accounts for nearly 40% of the total global energy, energy control in residential microgrids (RMGs) has become a research hotspot in recent years. In RMG, the power consumption behavior of each user is ...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the shortcomings of the existing micro-grid control methods that cannot be completely autonomously controlled and have poor economic efficiency, the present invention proposes an event-driven automatic demand response method for micro-grids that considers uncertainty. Due to the randomness of the user's electricity consumption behavior and the errors in wind and solar output prediction, a household microgrid (RMG) model is constructed, and a microgrid-based The new electricity price mechanism for generalized net loads calculates new electricity prices to effectively guide the electricity consumption behavior of active loads with economic incentives, and proposes a new automatic demand response strategy based on event-driven. This strategy can not only deal with various household electrical appliances in a timely and efficient manner. emergencies that may arise from time to time; it can also slow down the impact of new energy output fluctuations on the system by reasonably guiding the power consumption behavior of active loads

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