Peak-valley electricity price optimization method considering user satisfaction

A technology of user satisfaction and peak and valley electricity prices, applied in the field of power systems, can solve problems such as uneconomical peak loads, and achieve the effects of reducing electricity expenses, ensuring income, and ensuring benefits

CN107798625AInactive Publication Date: 2018-03-13SOUTHEAST UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2018-03-13
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a peak-valley electricity price optimization method considering user satisfaction. The method comprises the steps that an electricity consumption mode satisfaction model of a user is constructed; an electric charge expenditure satisfaction model of the user is constructed; a comprehensive satisfaction model of the user is constructed; a peak-valley electricity price model is established, the user satisfaction S is considered emphatically, and the user satisfaction is maximized; it is assumed that incomes of an electric power company before and after implementation are K<0> and K<1> respectively, and the incomes are also electric charge expenditures of the user; after peak-valley electricity prices are implemented, the income of the electric power company is not lower than that before implementation; and according to specific calculation examples, an existing algorithm is utilized to complete multi-target optimization. Through the peak-valley electricity price optimization method considering the user satisfaction, the benefit of the user can be guaranteed while the income of the electric power company is guaranteed, and defects brought by the current situation that prices are decided only through the administrative means are overcome; and compared with traditional pricing methods, the satisfaction of the user is remarkably considered in the method, and the method is beneficial for lowering the electric charge expenditure of the user.
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Description

technical field

[0001] The invention relates to the field of power systems, in particular to a method for optimizing peak-valley power prices considering customer satisfaction. Background technique

[0002] With the gradual easing of the contradiction between power supply and demand, the current power shortage in my country is mainly characterized by a structural power shortage during peak hours, and with the rapid increase in the load of air conditioners and other electrical appliances, the peak-to-valley difference of the system continues to increase, and the load rate continues to increase. Reduced, but the maximum load duration is short. According to the statistics of my country's continuous power load in recent years, more than 95% of the country's peak load lasts only a few tens of hours a year. It is not economical to increase the installed capacity of peak-shaving power generation to meet this part of the peak load. Implement peak and valley time-of-use electricity p...

Examples

Embodiment Construction

[0037] like figure 1 As shown, a peak-valley electricity price optimization method considering user satisfaction includes the following steps:

[0038] (1) Construct the user satisfaction model of electricity consumption mode, which is defined based on the difference between the changed electricity and the original electricity:

[0039] δ=1-ΔP / P

[0040] Among them, δ is the satisfaction degree of electricity consumption, ΔP is the change value of electricity, and P is the original value of electricity;

[0041] (2) Build a customer satisfaction model for electricity expenses;

[0042] λ=1-(W 1 -W 0 ) / W 0

[0043] Among them, W 0 , W 1 Respectively, the electricity expenses of users before and after the implementation of peak and valley electricity prices;

[0044] (3) Construct the user's comprehensive satisfaction model. The user's comprehensive satisfaction S is the weighted average of the user's electricity consumption satisfaction and the user's electricity expen...