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Response capacity interval assessment method considering demand response reliability

A demand response and reliability technology, applied in computing, data processing applications, instruments, etc., can solve problems such as hidden dangers in the safe and stable operation of power systems, users' inability to reliably complete demand response tasks, and reduce demand response peak shaving and valley filling.

Active Publication Date: 2019-07-05
HEFEI UNIV OF TECH +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, with changes in temperature, income and other factors, users' consumption behavior and response to incentives may change, and users may not be able to reliably complete demand response tasks, reducing the role of demand response in peak-shaving and valley-filling, thus Bring greater hidden dangers to the safe and stable operation of the power system

Method used

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  • Response capacity interval assessment method considering demand response reliability
  • Response capacity interval assessment method considering demand response reliability
  • Response capacity interval assessment method considering demand response reliability

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Embodiment Construction

[0055] In this embodiment, a flow chart of a response capacity interval evaluation method considering the reliability of demand response is as follows figure 1 As shown in the figure, the method calculates the confidence interval of the demand response capacity and the interval evaluation index of the load after the response, and uses the truncated normal distribution to describe the randomness of the response degree. Specifically, it is carried out according to the following steps:

[0056] Step 1. Obtain raw data, including:

[0057] Demand response preload L(t) in t period, t=1,2,...,T; T represents the total response time;

[0058] Day-ahead scheduling plan for demand response: load-shedding capacity of the k-th load-shedding contract in period t k=1,2,...,K LC , K LC Reduce the number of contracts for the scheduled load; the load transfer capacity of the mth load transfer contract in period t and load transfer capacity m=1,2,...,M LS , M LS is the number of disp...

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Abstract

The invention discloses a response capacity interval assessment method considering demand response reliability, which comprises the following steps of: 1, according to a probability density function of a demand response degree, obtaining a demand response capacity sample and a load sample after response at each time period by adopting a random simulation method; 2, according to the demand responsecapacity sample and the load sample after response, obtaining a confidence interval of the demand response capacity and a confidence interval of the load after response through statistical calculation; and 3, calculating interval evaluation indexes of the load after response by utilizing an interval number operation rule, including interval values of the maximum load, the minimum load, the peak-valley difference, the peak-valley difference rate and the load rate. According to the method, the influence of demand response reliability is considered, the confidence interval of the demand responsecapacity and the interval evaluation index of the load after response are calculated, and a reference basis is provided for more scientifically evaluating the effect of the demand response.

Description

technical field [0001] The invention belongs to the field of power load demand side management, and particularly relates to a response capacity interval evaluation method considering demand response reliability. Background technique [0002] In recent years, with the rapid development of the economy and the improvement of people's life, the electricity load (especially the peak electricity load) has increased sharply, and the problem of the peak-to-valley difference of the load curve has become prominent. The growing and increasingly complex power demand can be met by increasing the capacity of generator sets and expanding the transmission capacity. However, domestic and foreign practical experience shows that only increasing the scale of power generation and transmission cannot effectively and economically alleviate the contradiction between power supply and demand. Power companies and government departments are actively seeking a long-term and effective way to deal with po...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/06315G06Q10/06393G06Q50/06
Inventor 齐先军郑夕炜吴红斌栾开宁潘雨晴李波曹晓冬
Owner HEFEI UNIV OF TECH
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