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.
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[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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