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Multi-target demand response management method based on Pareto optimal theory

A demand response and management method technology, applied in the field of multi-objective demand response management based on Pareto optimal theory, can solve the problems of user comfort evaluation change, uncertainty, randomness, etc.

Pending Publication Date: 2021-04-09
SHENYANG INST OF ENG
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  • Claims
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Problems solved by technology

However, demand-side response has a certain degree of subjectivity, and it will follow the user's will to shift
Due to the impact of electricity prices, user comfort evaluation will change, which will have a certain impact on the demand side response, which is random and uncertain

Method used

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  • Multi-target demand response management method based on Pareto optimal theory
  • Multi-target demand response management method based on Pareto optimal theory
  • Multi-target demand response management method based on Pareto optimal theory

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Embodiment Construction

[0068] The present invention will be further explained below in conjunction with the accompanying drawings and embodiments.

[0069] The present invention comprises the following steps for the multi-objective demand response management technology based on Pareto optimal theory:

[0070] Step 1: The objective function of the multi-objective demand response model in the power system usually considers the following aspects:

[0071] According to the actual power system structure, a communication network between the power grid and users is established, and the revenue model of user demand response is established as follows:

[0072] p(θ i ,q j ) = θ i q j

[0073] where θ i is the power user type parameter (0j is the power consumption of power user j.

[0074] Integrate the revenue function of user j to obtain the power consumption revenue function F j :

[0075]

[0076] When the demand response power is D DR,j When , its power consumption income is the demand respon...

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Abstract

A multi-target demand response management method based on a Pareto optimal theory belongs to the technical field of power systems and comprises the following steps: step 1, establishing a communication network for communication between a power grid and a user according to an actual power system structure, and establishing a user demand response income model, step 2, aggregating user-side controllable loads and power users to participate in demand response by an agent. wherein the electric quantity agency income is recorded as a constant R, the charging service fee is recorded as epsilon, and the agency income is equal to the sum of the agency income and the demand response income; and step 3, enabling a terminal user i to determine the optimal demand response quantity according to the unit incentive psi k provided by the agent, and determine the final income and the like. According to the invention, the benefit of the system power grid is effectively improved while each user consumes less power, and the users are guided to perform optimal power purchase consumption through the balanced electricity price strategy of the system power grid so as to achieve balanced optimization of the power system.

Description

technical field [0001] The invention belongs to the technical field of power systems, and in particular relates to a multi-objective demand response management method based on Pareto optimal theory. Background technique [0002] In today's power system, it is becoming more and more important to improve the reliability and economy of the power grid, and in the smart grid, the real-time power consumption profile of residential customers is crucial to power suppliers. When the price of the electricity wholesale market rises or the reliability of the power system is threatened, the power user will receive a direct compensation notice from the power supply party to reduce the load or a signal of an increase in the power price. According to these, the power user will change its inherent habit of using electricity. The short-term behavior of reducing or shifting the electricity load in a certain period of time and responding to the electricity supply, thereby ensuring the stability...

Claims

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Application Information

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IPC IPC(8): G06Q50/06G06Q10/04G06Q10/06G06N5/04
CPCG06Q50/06G06Q10/04G06Q10/06315G06Q10/067G06N5/042Y04S10/50
Inventor 赵琰任书影王若曦于思琪孙晓东姜河胡博王顺江王健曾雅庄严魏莫杋李兆滢王亚茹周航姜明坤
Owner SHENYANG INST OF ENG
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