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A new probabilistic optimal power flow method is developed to manage electricity market price risk. The proposed method is an adaptive importance sampling method which based on the principle of importance sampling and reinforcement learning. The estimation result of conventional Monte Carlo simulation is taken as benchmark. Case study is conducted on IEEE 39-Bus system to compare the proposed method...
One of the impediments to large-scale use of wind generation within power system is its variable and uncertain real-time availability. Due to the low marginal cost of wind power, its output will change the merit order of power markets and influence the Locational Marginal Price (LMP). For the large scale of wind power, LMP calculation can't ignore the essential variable and uncertain nature of wind...
In this paper, wavelet packet (WP) band energy analysis method is firstly used to get feature band of field circuit breaker (CB) vibration signal with heavy noises disturbing which is done with pretreatment of de-noising by WP method. The determined feature band signal is then analyzed by the non-parametric, ARMA model, and AR model bi-spectrum analysis respectively. With the field data collected...
In this paper, the field vibration signal of circuit breaker (CB) with heavy noises disturbing is firstly de-noised with WP (wavelet packet) method by which the feature band of the signal is got. With singular value decomposition (SVD), the parameters and the orders of AR model are got in the modified Yule-Walker equation of the feature band signals. The bi-spectrum analysis is then used to done with...
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