Household energy management method and system based on intelligent electricity price

Abstract

The invention discloses a household energy management method and system based on intelligent electricity price, belongs to the technical field of data analysis, and aims to solve the technical problem of how to analyze electricity price fluctuation and electricity utilization rules and realize an optimal charging and discharging strategy. Comprising the following steps: acquiring electricity price data in real time, wherein the electricity price data comprises time-of-use electricity price and real-time electricity price; the electricity utilization rule of the family is analyzed through the historical electricity utilization data, and the peak electricity utilization time period and the valley electricity utilization time period of the family are represented through the electricity utilization rule; formulating a charging and discharging strategy of the energy storage cabinet according to the electricity price data and the electricity utilization rule; constructing a strategy model based on an optimization algorithm, calculating an optimal charging and discharging strategy through the strategy model, and generating a power utilization suggestion based on the power utilization strategy; the current electricity price data, the energy storage cabinet state and the electricity utilization suggestion are displayed for the user, and the user adjusts the electricity utilization strategy according to the self demand.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and more specifically to a household energy management method and system based on intelligent electricity prices. Background Art

[0002] With the gradual opening of the electricity market and the development of smart grids, dynamic electricity price mechanisms (such as time-of-use electricity prices and real-time electricity prices) have become increasingly popular. Household users can reduce their electricity bills by reasonably adjusting their electricity consumption behaviors. However, it is difficult for ordinary users to track electricity price changes in real time and make optimal decisions. In addition, the diversity of household electrical appliances and the uncertainty of electricity consumption patterns further increase the complexity of energy management. Most existing household energy management systems lack in-depth analysis of electricity price fluctuations and electricity consumption patterns and cannot achieve optimal charging and discharging strategies.

[0003] For household electricity consumption, how to analyze electricity price fluctuations and electricity consumption patterns and achieve optimal charging and discharging strategies is a technical problem that needs to be solved. Summary of the Invention

[0004] The technical task of the present invention is to address the above deficiencies and provide a household energy management method and system based on intelligent electricity prices to solve the technical problems of how to analyze electricity price fluctuations and electricity consumption patterns and achieve optimal charging and discharging strategies.

[0005] In a first aspect, a household energy management method based on intelligent electricity prices according to the present invention includes the following steps:

[0006] Electricity price data acquisition: Real-time acquisition of electricity price data, where the electricity price data includes time-of-use electricity prices and real-time electricity prices;

[0007] Analysis of electricity consumption patterns: Analyze the electricity consumption patterns of the household through historical electricity consumption data, and represent the peak electricity consumption periods and off-peak electricity consumption periods of the household through the electricity consumption patterns;

[0008] Formulation of charging and discharging strategies: Formulate the charging and discharging strategies of the energy storage cabinet according to the electricity price data and electricity consumption patterns, where the charging and discharging strategies include charging during off-peak electricity price periods and discharging during peak electricity price periods;

[0009] Strategy optimization: Construct a strategy model based on an optimization algorithm, calculate the optimal charging and discharging strategies through the strategy model, and generate electricity consumption suggestions based on the electricity consumption strategies;

[0010] User interaction: Display the current electricity price data, the status of the energy storage cabinet, and electricity consumption suggestions to the user, and the user adjusts the electricity consumption strategy according to their own needs.

[0011] Preferably, when acquiring the electricity price data, the current electricity price data is acquired in real time from the electricity price information released by the power grid.

[0012] Preferably, when analyzing the electricity consumption pattern, historical electricity consumption data of the household is collected through the API interface or smart meter.

[0013] Preferably, the optimization algorithm includes linear programming and dynamic programming.

[0014] In a second aspect, a household energy management system based on intelligent electricity prices is used to manage household electricity consumption through a household energy management method based on intelligent electricity prices as described in any one of the first aspects. The system includes an electricity price data acquisition module, an electricity consumption pattern analysis module, a charge and discharge strategy formulation module, a strategy optimization module, and a user interaction module;

[0015] The electricity consumption pattern analysis module is used to perform the following: analyze the electricity consumption pattern of the household through historical electricity consumption data, and represent the peak electricity consumption period and the valley electricity consumption period of the household through the electricity consumption pattern;

[0016] The charge and discharge strategy formulation module is used to perform the following: formulate the charge and discharge strategy of the energy storage cabinet according to the electricity price data and the electricity consumption pattern. The charge and discharge strategy includes charging during the valley electricity price period and discharging during the peak electricity price period;

[0017] The strategy optimization module is used to perform the following: construct a strategy model based on the optimization algorithm, calculate the optimal charge and discharge strategy through the strategy model, and generate electricity consumption suggestions based on the electricity consumption strategy;

[0018] The user interaction module is used to perform the following: display the current electricity price data, the status of the energy storage cabinet, and the electricity consumption suggestions for the user, and the user adjusts the electricity consumption strategy according to their own needs.

[0019] Preferably, the electricity price data acquisition module is used to obtain the current electricity price data in real time from the electricity price information published by the power grid.

[0020] Preferably, the electricity consumption pattern analysis module is used to collect historical electricity consumption data of the household through the API interface or smart meter.

[0021] Preferably, the optimization algorithm includes linear programming and dynamic programming.

[0022] The household energy management method and system based on intelligent electricity prices of the present invention have the following advantages:

[0023] 1. Electricity cost savings: By intelligently controlling the charge and discharge behavior of the energy storage cabinet, maximizing the use of valley electricity prices, reducing electricity consumption expenditures during peak periods, and significantly reducing household electricity costs;

[0024] 2. Electricity consumption optimization: The system can automatically adjust the electricity consumption strategy according to the household electricity consumption pattern, avoid unnecessary power waste, and improve energy utilization efficiency;

[0025] 3. User-friendly: Users can easily view electricity consumption information and electricity usage suggestions and adjust them according to their needs.

[0026] 4. Intelligent management: By optimizing algorithms and real-time data analysis, it can automatically formulate the optimal charging and discharging strategy, reducing the manual intervention of users. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0028] The present invention will be further described below with reference to the drawings.

[0029] Figure 1 It is a flowchart of a home energy management method based on intelligent electricity prices for Embodiment 1. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] The present invention will be further described below with reference to the drawings and specific embodiments, so that those skilled in the art can better understand the present invention and implement it. However, the embodiments cited are not intended to limit the present invention. Without conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.

[0031] The embodiments of the present invention provide a home energy management method and system based on intelligent electricity prices, which are used to solve the technical problems of how to analyze electricity price fluctuations and electricity consumption patterns and implement the optimal charging and discharging strategy.

[0032] Embodiment 1:

[0033] A home energy management method based on intelligent electricity prices according to the present invention includes five steps: electricity price data acquisition, electricity consumption pattern analysis, charging and discharging strategy formulation, strategy optimization, and user interaction.

[0034] Step S100 Electricity price data acquisition: Real-time acquisition of electricity price data, where the electricity price data includes time-of-use electricity prices and real-time electricity prices.

[0035] In this embodiment, when acquiring electricity price data, the current electricity price data is acquired in real time from the electricity price information released by the power grid.

[0036] Step S200 Electricity consumption pattern analysis: Analyze the electricity consumption pattern of the household through historical electricity consumption data, and represent the peak electricity consumption period and the valley electricity consumption period of the household through the electricity consumption pattern.

[0037] In this embodiment, when analyzing the electricity consumption pattern, historical electricity consumption data of the household is collected through the API interface or the smart meter.

[0038] Step S300: Formulating the charge and discharge strategy: Based on the electricity price data and the electricity consumption pattern, formulate the charge and discharge strategy for the energy storage cabinet. The charge and discharge strategy includes charging during the low electricity price period and discharging during the high electricity price period.

[0039] Step S400: Strategy optimization: Build a strategy model based on the optimization algorithm, calculate the optimal charge and discharge strategy through the strategy model, and generate electricity consumption suggestions based on the electricity consumption strategy.

[0040] Among them, the optimization algorithm includes linear programming and dynamic programming. Through the optimization of the electricity consumption strategy, ensure that the electricity bill expenditure is minimized on the premise of meeting the household electricity demand.

[0041] Step S500: User interaction: Display the current electricity price data, the status of the energy storage cabinet, and the electricity consumption suggestions to the user, and the user adjusts the electricity consumption strategy according to their own needs.

[0042] In this embodiment, the current electricity price data, the status of the energy storage cabinet, and the electricity consumption suggestions are displayed to the user through the user interface, and the user adjusts the electricity consumption strategy according to their own needs.

[0043] The method of this embodiment formulates the optimal charge and discharge strategy by obtaining the electricity price information in real time, analyzing the household electricity consumption pattern, and combining the charge and discharge characteristics of the household energy storage cabinet, so as to reduce the household electricity bill expenditure.

[0044] Embodiment 2:

[0045] A household energy management system based on intelligent electricity price of the present invention includes an electricity price data acquisition module, an electricity consumption pattern analysis module, a charge and discharge strategy formulation module, a strategy optimization module, and a user interaction module. This system can execute the method disclosed in Embodiment 1 to manage household electricity consumption.

[0046] The electricity consumption pattern analysis module is used to perform the following: Analyze the electricity consumption pattern of the household through historical electricity consumption data, and represent the peak electricity consumption period and the low electricity consumption period of the household through the electricity consumption pattern.

[0047] In this embodiment, when analyzing the electricity consumption pattern, historical electricity consumption data of the household is collected through the API interface or the smart meter.

[0048] In this embodiment, when acquiring the electricity price data, the current electricity price data is acquired in real time from the electricity price information released by the power grid.

[0049] The charge and discharge strategy formulation module is used to perform the following: Based on the electricity price data and the electricity consumption pattern, formulate the charge and discharge strategy for the energy storage cabinet. The charge and discharge strategy includes charging during the low electricity price period and discharging during the high electricity price period.

[0050] The policy optimization module is used to perform the following: build a policy model based on an optimization algorithm, calculate the optimal charge and discharge policy through the policy model, and generate electricity usage suggestions based on the electricity usage policy.

[0051] Among them, the optimization algorithms include linear programming and dynamic programming. By optimizing the electricity usage policy, it is ensured that the electricity cost expenditure is minimized on the premise of meeting the household electricity demand.

[0052] The user interaction module is used to perform the following: display the current electricity price data, the status of the energy storage cabinet, and electricity usage suggestions to the user, and the user adjusts the electricity usage policy according to their own needs.

[0053] In this embodiment, the user interaction module displays the current electricity price data, the status of the energy storage cabinet, and electricity usage suggestions to the user through the user interface, and the user adjusts the electricity usage policy according to their own needs.

[0054] The system of this embodiment can execute the method disclosed in Embodiment 1 to implement household electricity management.

[0055] The above has introduced in detail the household energy management method and system based on intelligent electricity prices provided by the present invention. Specific examples are used in this article to elaborate on the principle and implementation manner of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. A household energy management method based on intelligent electricity prices, characterized in that It includes the following steps: Electricity price data acquisition: Real-time acquisition of electricity price data, where the electricity price data includes time-of-use electricity price and real-time electricity price; Analysis of electricity consumption pattern: Analyze the electricity consumption pattern of the household through historical electricity consumption data, and represent the peak electricity consumption period and valley electricity consumption period of the household through the electricity consumption pattern; Formulation of charge and discharge strategy: Formulate the charge and discharge strategy of the energy storage cabinet according to the electricity price data and electricity consumption pattern. The charge and discharge strategy includes charging during the valley electricity price period and discharging during the peak electricity price period; Strategy optimization: Construct a strategy model based on an optimization algorithm, calculate the optimal charge and discharge strategy through the strategy model, and generate electricity consumption suggestions based on the electricity consumption strategy; User interaction: Display the current electricity price data, the status of the energy storage cabinet, and electricity consumption suggestions for the user, and the user adjusts the electricity consumption strategy according to their own needs.

2. The home energy management method based on intelligent electricity price according to claim 1, wherein When acquiring electricity price data, the current electricity price data is acquired in real time from the electricity price information released by the power grid.

3. The home energy management method based on intelligent electricity price according to claim 1, characterized in that When analyzing the electricity consumption pattern, the historical electricity consumption data of the household is collected through the API interface or smart meter.

4. The home energy management method based on intelligent electricity price according to claim 1, characterized in that The optimization algorithm includes linear programming and dynamic programming.

5. A home energy management system based on intelligent electricity prices, characterized in that, It is used to manage household electricity consumption through a household energy management method based on intelligent electricity price as described in any one of claims 1-4. The system includes an electricity price data acquisition module, an electricity consumption pattern analysis module, a charge and discharge strategy formulation module, a strategy optimization module, and a user interaction module; The electricity consumption pattern analysis module is used to perform the following: Analyze the electricity consumption pattern of the household through historical electricity consumption data, and represent the peak electricity consumption period and valley electricity consumption period of the household through the electricity consumption pattern; The charge and discharge strategy formulation module is used to perform the following: Formulate the charge and discharge strategy of the energy storage cabinet according to the electricity price data and electricity consumption pattern. The charge and discharge strategy includes charging during the valley electricity price period and discharging during the peak electricity price period; The strategy optimization module is used to perform the following: Construct a strategy model based on an optimization algorithm, calculate the optimal charge and discharge strategy through the strategy model, and generate electricity consumption suggestions based on the electricity consumption strategy; The user interaction module is used to perform the following: Display the current electricity price data, the status of the energy storage cabinet, and electricity consumption suggestions for the user, and the user adjusts the electricity consumption strategy according to their own needs.

6. The home energy management system based on intelligent electricity price according to claim 5, characterized in that, The electricity price data acquisition module is used to acquire the current electricity price data in real time from the electricity price information released by the power grid.

7. The home energy management system based on intelligent electricity price according to claim 5, characterized in that, The electricity consumption pattern analysis module is used to collect the historical electricity consumption data of the household through the API interface or smart meter.

8. The home energy management system based on intelligent electricity price according to claim 5, characterized in that The optimization algorithm includes linear programming and dynamic programming.

Images