The increasing penetration of the renewable energy sources brings new challenges to the frequency security of power systems. In order to guarantee the system frequency security, frequency constraints are incorporated ...The increasing penetration of the renewable energy sources brings new challenges to the frequency security of power systems. In order to guarantee the system frequency security, frequency constraints are incorporated into unit commitment(UC) models. Due to the non-convex form of the frequency nadir constraint which makes the frequency constrained UC(FCUC) intractable, this letter proposes a revised support vector machine(SVM) based system parameter separating plane method to convexify it. Based on this data-driven convexification method, we obtain a tractable FCUC model which is formulated as a mixed-integer quadratic programming(MIQP) problem. Case studies indicate that the proposed method can obtain less conservative solution than the existing methods with higher efficiency.展开更多
A high-speed corner detection algorithm based on fuzzy ID3 decision tree was proposed.In the algorithm,the Bresenham circle with 3-pixel radius was used as the test mask,overlapping the candidate corners with the nucl...A high-speed corner detection algorithm based on fuzzy ID3 decision tree was proposed.In the algorithm,the Bresenham circle with 3-pixel radius was used as the test mask,overlapping the candidate corners with the nucleus.Connected pixels on the circle were applied to compare the intensity value with the nucleus,with the membership function used to give the fuzzy result.The pixel with maximum information gain was chosen as the parent node to build a binary decision tree.Thus,the corner detector was derived.The pictures taken in Fengtai Railway Station in Beijing were used to test the method.The experimental results show that when the number of pixels on the test mask is chosen to be 9,best result can be obtained.The corner detector significantly outperforms existing detector in computational efficiency without sacrificing the quality and the method also provides high performance against Poisson noise and Gaussian blur.展开更多
基金supported in part by the S&T Project of State Grid Corporation of China “Learning based Renewable Cluster Control and Coordinated Dispatch”(No. 5100-202199512A-0-5-ZN)。
文摘The increasing penetration of the renewable energy sources brings new challenges to the frequency security of power systems. In order to guarantee the system frequency security, frequency constraints are incorporated into unit commitment(UC) models. Due to the non-convex form of the frequency nadir constraint which makes the frequency constrained UC(FCUC) intractable, this letter proposes a revised support vector machine(SVM) based system parameter separating plane method to convexify it. Based on this data-driven convexification method, we obtain a tractable FCUC model which is formulated as a mixed-integer quadratic programming(MIQP) problem. Case studies indicate that the proposed method can obtain less conservative solution than the existing methods with higher efficiency.
基金Project(J2008X011) supported by the Natural Science Foundation of Ministry of Railway and Tsinghua University,China
文摘A high-speed corner detection algorithm based on fuzzy ID3 decision tree was proposed.In the algorithm,the Bresenham circle with 3-pixel radius was used as the test mask,overlapping the candidate corners with the nucleus.Connected pixels on the circle were applied to compare the intensity value with the nucleus,with the membership function used to give the fuzzy result.The pixel with maximum information gain was chosen as the parent node to build a binary decision tree.Thus,the corner detector was derived.The pictures taken in Fengtai Railway Station in Beijing were used to test the method.The experimental results show that when the number of pixels on the test mask is chosen to be 9,best result can be obtained.The corner detector significantly outperforms existing detector in computational efficiency without sacrificing the quality and the method also provides high performance against Poisson noise and Gaussian blur.
