A Response Capacity Interval Evaluation Method Considering the Reliability of Demand Response
A demand response and reliability technology, applied in data processing applications, instruments, calculations, etc., can solve the hidden dangers of safe and stable operation of the power system, reduce demand response peak shaving and valley filling, and users cannot reliably complete demand response tasks, etc.
Active Publication Date: 2021-02-05
HEFEI UNIV OF TECH +1
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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
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[0055] In this embodiment, a flow chart of a response capacity interval assessment method considering the reliability of demand response is as follows figure 1 As shown, this method calculates the confidence interval of the demand response capacity and the interval evaluation index of the response load, and uses a truncated normal distribution to describe the randomness of the response degree. Specifically, it proceeds as follows:
[0056] Step 1. Get raw data, including:
[0057] Demand response front load L(t) in period t, t=1,2,...,T; T represents the total response time;
[0058] Day-Ahead Scheduling Plan for Demand Response: The Load Shedding Capacity of the kth Load Shedding Contract in Time Period t k=1,2,...,K LC , K LC is the number of dispatched load reduction contracts; 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 load transfer contracts to be dispatched;
[0059]...
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The invention discloses a response capacity interval evaluation method considering the reliability of demand response. The steps include: 1. According to the probability density function of the demand response degree, the demand response capacity samples and the response capacity samples of each period are obtained by stochastic simulation. Load sample; 2. According to the demand response capacity sample and the response load sample, the confidence interval of the demand response capacity and the confidence interval of the response load are obtained through statistical calculation; 3. Using the interval number algorithm, calculate the interval evaluation of the response load Indicators, including interval values of maximum load, minimum load, peak-to-valley difference, peak-to-valley difference rate, and load rate. The invention considers the influence of the reliability of the demand response, calculates the confidence interval of the demand response capacity and the interval evaluation index of the after-response load, and provides a reference basis for more scientific evaluation of the effect of the demand response.
Description
technical field [0001] The invention belongs to the field of electric load demand side management, and in particular relates to a response capacity interval evaluation method considering the reliability of demand response. Background technique [0002] In recent years, with the rapid development of the economy and the improvement of people's lives, the electricity load (especially the peak load) has increased sharply, and the problem of the peak-to-valley difference of the load curve has become prominent. The ever-increasing and increasingly complex power demand can be met by increasing the capacity of generating units and expanding the transmission capacity, but the practical experience at home and abroad shows that the contradiction between power supply and demand cannot be effectively and economically alleviated only by increasing the scale of power generation and transmission. Power companies and government departments are actively seeking a long-term and effective metho...
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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