A demand side response control method for household energy internet of things based on neural network

Abstract

The invention discloses a demand side response control method of household energy internet of things based on neural network. The method comprises the steps of: 1, collecting data of household electrical appliances by using a smart electric meter in real time and using the collected data as electricity use samples; 2, training the neural network algorithm module according to the electricity use samples to generate habit prediction value, switch probability and weight coefficient of the electricity consumption of the user, and generating load control strategy and energy-saving strategy when responding to the demand side of the household according to the habit prediction value, switch probability and weight coefficient; 3, the control module automatically controls the response action of thedemand side according to the load control strategy and the energy-saving strategy. For the needs of intelligent home internet of things, the method realizes dynamic management, low dependence on userselection, high level of automation and favorable user experience and can overcome the shortcomings of the prior art.

Description

technical field [0001] The invention belongs to the field of electrical and automation technology, and in particular relates to a neural network-based demand side response control method for the home energy internet of things. Background technique: [0002] Demand response (Demand Response, referred to as DR) is the abbreviation of power demand response, which means that when the price of the wholesale power market rises or the reliability of the system is threatened, the power user receives a direct compensation notice from the power supply party to induce load reduction or After the power price rises, it changes its inherent habitual power consumption pattern to reduce or shift the power consumption load for a certain period of time and respond to power supply, thereby ensuring the stability of the power grid and inhibiting the short-term behavior of rising power prices. It is one of the solutions for Demand Side Management (DSM). [0003] At present, the implementation o...

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Problems solved by technology

[0004] However, there are still some problems in the process of pilot operation, such as: 1. At present, the motivation of users to participate in demand response does not come from price signals or incentives, but a single financial subsidy (about 100 yuan per kilowatt). Once the subsidy stops, the corresponding It will be difficult to continue the implementation of the project; 2. At present, the targets of the pilot are mainly industrial users, and there are certain planning factors, the scope of participants is small, and the interaction is not strong

3. Due to the lack of real-time and time-of-use electricity prices, the price difference between peak and valley electricity prices is not large enough to attract the most potential energy storage and other demand-side resources

[0005] Chinese patent CN201510007856.6 discloses an implementation method of household load demand side response, which aims to solve the problem that household users meet a relatively single type, and are not suitable for automatic control, and the response speed to the demand side is relatively slow

However, the biggest defect of the patent CN201510007856.6 is that it relies heavily on the user's choice. Frequent short message inquiries not only seriously affect the experience of home users, but also have an extremely low level of automation and low efficiency.

At the same time, the patent does not consider that the control method is extremely arbitrary to perform switching operations, which greatly affects the user's living comfort.

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