Wang R.,China Institute of Technology |
Wang R.,State Key Laboratory of Complex Electromagnetic Environment |
Xie Y.-G.,Anhui Electrical Power Research Institute |
Xie K.,China Institute of Technology |
And 2 more authors.
Applied Mechanics and Materials | Year: 2013
This paper presents a methodology for solving unit commitment (UC) problem for thermal units integrated with wind power and generalized energy storage system (ESS).The ESS is introduced to achieve peak load shaving and reduce the operating cost. The volatility of wind power is simulated by multiple scenarios, which are generated by Latin hypercube sampling. Meanwhile, the scenario reduction technique based on probability metric is introduced to reduce the number of scenarios so that the computational burden can be alleviated. The thermal UC problem with volatile wind power and ESS is transformed to a deterministic optimization which is formulated as the mixed-integer convex program optimized by branch and bound-interior point method. During the branch and bound process, the best first search and depth first search are combined to expedite the computation. The effectiveness of the proposed algorithm is demonstrated by a ten unit UC problem. © 2013 Trans Tech Publications Ltd, Switzerland.
Pan X.,National University of Defense Technology |
Pan X.,State Key Laboratory of Complex Electromagnetic Environment |
Wang W.,National University of Defense Technology |
Liu J.,State Key Laboratory of Complex Electromagnetic Environment |
And 4 more authors.
Progress in Electromagnetics Research | Year: 2013
It is potentially useful to perform target identification using micro-Doppler features because they contain information on the geometrical structure of the target. In this paper, the m-D effect of the rotationally symmetric ballistic target (BT) is analyzed which reveals that the m-D is not a form of sinusoidal modulation due to the sliding- type scattering. Inspired by the extended Hough transform (EHT), a method to extract all the six parameters of the BT is proposed. The m-D effect and the performance of feature extraction algorithm are demonstrated by the measured data in a microwave anechoic chamber.