The Distributed Photovoltaic Demand Response Model Based on Security and Economy in Active Distribution Network
Li Lin,
Cao Jun,
Tao Weiqing
Issue:
Volume 4, Issue 3, June 2016
Pages:
53-58
Received:
7 June 2016
Published:
8 June 2016
Abstract: The technology of demand side response introduced in distributed photovoltaic power supply was proposed in this paper. Analyzing the applicability of demand response which established by distributed photovoltaic, presenting system implementation architecture and basic technical requirements. Without considering the input of energy storage equipment, establishing the demand response model in the active distributed network based on combination of power prediction, load forecasting and weather mode prediction. The technical characteristics of system power, load and environment was analyzed, and the security and economy of distributed generation integration was followed by analyzed. The model will improve the performance of renewable energy operation and consumption, the reliable and economic access capability of large-scale distributed photovoltaic system in the active distribution network.
Abstract: The technology of demand side response introduced in distributed photovoltaic power supply was proposed in this paper. Analyzing the applicability of demand response which established by distributed photovoltaic, presenting system implementation architecture and basic technical requirements. Without considering the input of energy storage equipment...
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A Deterministic Approach to Measurement of Noise Attenuation in Oil-Rig Drill Ship Positioning Systems
E. C. Obinabo,
T. C. Nwaoha,
F. I. Ashiedu,
C. O. Izelu
Issue:
Volume 4, Issue 3, June 2016
Pages:
59-65
Received:
30 May 2016
Accepted:
12 June 2016
Published:
29 June 2016
Abstract: This paper presents a qualitative evaluation of wave-induced motions in an oil-rig drill ship positioning system which incorporates a priori knowledge of noise contamination in the measured data. The noise contamination β defined in the function of the known form (P (X, β )) and X takes the specific values z, which from Cramer-Rao bound, gives the smallest possible variance with which the estimate of β can be determined. A conceptual model of the problem based on the maximum likelihood techniques in terms of joint probability distribution functions enhanced convergence of the iteration process. A filter was postulated to define the error covariance matrix which yielded unbiased estimates of the measured data.
Abstract: This paper presents a qualitative evaluation of wave-induced motions in an oil-rig drill ship positioning system which incorporates a priori knowledge of noise contamination in the measured data. The noise contamination β defined in the function of the known form (P (X, β )) and X takes the specific values z, which from Cramer-Rao bound,...
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