Demand response method based on residential user clustering in smart power grid
A demand response, user clustering technology, applied in data processing applications, instruments, business, etc., can solve problems such as user satisfaction and fairness impact, without considering electricity costs at the same time
Active Publication Date: 2019-11-26
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology
Existing demand response programs do not simultaneously consider the impact of electricity costs, customer satisfaction, and equity
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[0071] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0072] Such as figure 1 As shown, this embodiment applies the method of the present invention to the smart grid environment, such as figure 1 As shown, there are N residential users and a power company in a smart grid environment, let u={1,...,N} represent the set of residential users, the residential users are connected to the power company through a two-way communication network, and the power company can It can transmit power data with residential users, monitor the consumption of electrical appliances of users, and can directly control the electrical appliances of users to implement demand response procedures when necessary.
[0073] Such as figure 2 As shown, in this embodiment, the present invention provides a demand response method based on residential user clustering in a smart grid, and its specific steps are as follows:
[0074] 1...
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The invention discloses a demand response method based on residence user clustering in a smart power grid. The method comprises the following steps: collecting historical power consumption data of residence users; establishing an electric appliance model of the user through the collected data; establishing a feature model of the user through the collected data; dividing residence users into a plurality of classes by using a clustering algorithm according to the collected data; giving different satisfaction degrees, fairness and total cost coefficients to different types of users, and calculating the total cost is calculated. According to the invention, important factors such as an electric appliance energy consumption mode, electric power cost, user satisfaction, fairness, energy consumption habits and the like of residence users are considered; new features are extracted from the electricity consumption historical data of the residence users to describe the features of the users, a clustering method is applied to explore the electricity consumption habits of the users, the information is further used for scheduling the electricity consumption behaviors of the residence users in amore flexible and effective mode, and the expenditure of a power grid system and the power peak-to-average ratio of a power grid are reduced.
Description
technical field [0001] The invention belongs to the technical field of smart grids, and in particular relates to a demand response method based on residential user clustering in smart grids. Background technique [0002] A smart grid is a modern power grid that uses information and communication technology to detect and collect electricity consumption status at the supply side. Demand response is one of the most important technologies in smart grids because it reduces the peak demand of the grid and smoothes the demand profile, thereby reducing the overall cost of electricity supply. [0003] Electric utilities implement different types of demand response programs to manage energy consumption by residential customers. Broadly speaking, demand response programs can be divided into two types: control-based demand response programs and motivation-based demand response programs. Depending on where the decision-making actors are located, control-based demand response programs c...
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IPC IPC(8): G06Q30/02G06Q50/06G06Q10/06
CPCG06Q30/0202G06Q50/06G06Q10/067Y04S10/50Y04S50/14
Inventor 王然戴碧坚朱琨
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS