User response policy optimization method for stimulative power demand response

A technology of power demand response and optimization method, applied in the field of power demand response optimization and user response strategy optimization of incentive power demand response, can solve the problem that users cannot intuitively understand the impact of reliability, user economy and reliability imbalance, etc. question

Active Publication Date: 2018-01-05
HEFEI UNIV OF TECH +2
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Problems solved by technology

Traditional power user reliability indicators cannot reflect the impact of participating in demand response on user reliability. If the reliability impact is not quantified, users will not be able to intuitively understand the impact of participation in response projects on their own reliability.
If the

Method used

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  • User response policy optimization method for stimulative power demand response
  • User response policy optimization method for stimulative power demand response
  • User response policy optimization method for stimulative power demand response

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Embodiment Construction

[0055] In this embodiment, the participating users of the incentive-type power demand response are under the unified management of the load aggregator, and the participating methods are interruptible load and direct load control. The user participates in the project for one year, and the optimization goal is to obtain power users The optimal response strategy of , the optimal response strategy is the optimal response capacity and the optimal response duration.

[0056] see figure 1 , the user strategy optimization method of incentive-type power demand response in this embodiment is carried out according to the following steps:

[0057] Step 1. Confirm the resource parameters of this type of users. The resource parameters include the upper limit of adjustable capacity, response speed, advance notice time, maximum response duration, operation management fee, system maintenance fee, industry electricity price and expected response times.

[0058] Step 2. Establish a user cost-be...

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Abstract

The invention discloses a user response policy optimization method for stimulative power demand response. The method comprises the steps of confirming a resource parameter of a user; building a user cost benefit model and setting an objective function; building a user reliability quantitative model and setting an objective function; combining the two objective functions into a multi-objective optimization model; solving the model by adopting a multi-objective genetic algorithm NSGA-II to obtain a Pareto non-inferior solution set of a user response policy and an optimization result set consisting of user profits and user comprehensive reliability indexes; calculating normalized Euclidean distances between all optimization results and constructed ideal results; and according to the normalized Euclidean distances, sorting the optimization results to form a to-be-evaluated set, evaluating the optimization results in the to-be-evaluated set by adopting an entropy weighting double points method, and finally obtaining an optimal user response policy. According to the method, the economy and reliability of the user are balanced; a reasonable response sequence can be given for multiple users participating in response together; and the method is especially suitable for optimization of the response policies of the multiple users.

Description

technical field [0001] The invention relates to the optimization problem of electric power demand response, in particular to a user response strategy optimization method of incentive electric power demand response, which belongs to the field of electrical engineering. technical background [0002] With the emergence of the energy crisis in recent years, relying on the rapid development of smart grids, demand response projects have attracted more and more people's attention, and they have been piloted in some cities in my country. As an important measure of demand side management, incentive demand response plays an important role in optimizing supply and demand balance and power resource allocation. In addition, the emergence of load aggregators provides opportunities for small and medium-sized multiple users with different electricity consumption characteristics to participate in market regulation, and fully taps the scheduling potential of user-side resources. Since the re...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06N3/12
Inventor 张晶晶张鹏吴红斌齐先军丁晓潘雨晴许道强余磊陆伟伟
Owner HEFEI UNIV OF TECH
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