Abstract: The present disclosure discloses a common-path high-repetition-frequency lunar laser ranging system and method. In the system, a kHz laser, a beam expanding negative lens, a beam expanding positive lens and a laser docking mirror are sequentially arranged along the optical path direction; the laser beam emitted by the kHz laser enters a telescope through the laser docking mirror after passing through the beam expanding negative lens and the beam expanding positive lens, and then is emitted to a lunar retro-reflector; the beam expanding negative lens and the beam expanding positive lens are arranged in a confocal manner; a beam splitter, a focusing lens, a rotating shutter, an adjustable diaphragm, a collimating lens, an optical filter and a detector are sequentially arranged along the optical path direction; the adjustable diaphragm is installed at the common focus of the focusing lens and the collimating lens.

Abstract: Methods, systems, and computer-readable storage media for receiving a key and a value of a data object, determining a first identifier and a second identifier based on the key, defining an entry object including the first identifier, the second identifier, and the value, and storing the entry object in a hashmap by: determining a first value of a first index based on the first identifier, determining a second value of a second index to provide a first value and second value pair that defines a first location within the hashmap storing the first identifier, determining a third value of a third index for the first value and second value pair, where the first value, the second value, and the third value define a second location within the hashmap storing the second identifier, and storing the value at a third location within the hashmap.

Abstract: The present invention discloses a distributed optimization method of regional integrated energy considering different building heating modes, comprising: based on a heating resistance and heat capacity network model, building an RIEDHS optimal scheduling model considering different building heating modes; by a coordination operator, initializing a Lagrange multiplier and global variable information and sending related information to an electricity sub-network and a heating sub-network which perform internal local optimization according to respective sub-problems and return coupling variable information to the coordination operator; and by the coordination operator, receiving the coupling variable information from the electricity sub-network and the heating sub-network, judging whether a convergence condition is met according to the coupling variable information and global variable information: ending the process if so, otherwise updating the Lagrange multiplier and a global variable, and re-executing the loca

Abstract: A synergic identification method for dynamic stability of a power system is provided, including: acquiring each dominant oscillation mode; acquiring a critical wavelet scale factor range corresponding to each dominant oscillation mode; calculating an oscillation modality of the dominant oscillation mode corresponding to the critical wavelet scale factor range by a right singular vector corresponding to a maximum value among first singular values of each reconstructed wavelet coefficient matrix in the critical wavelet scale factor range; calculating, according to the relation between left and right feature vectors and the estimated oscillation modality, a left feature vector corresponding to each dominant oscillation mode and calculating a participation factor of each measurement channel in this dominant oscillation mode; calculating direction cosines between measurement channels by the oscillation modality of the dominant oscillation mode, and classifying coherent generator groups or coherent bus groups in th

Abstract: The present invention discloses an N-1 static security analysis method for integrated energy system, including the following steps: constructing a static model of the IES including electro-gas-thermal coupling elements, calculating multiple energy flow equations, and calculating the multiple energy flow of the IES to obtain an operating status of the IES; constructing a N-1 preconceived accident set, calculating multiple energy flow of the IES, and performing security verification to the status of the coupling elements in each preconceived accident set, respectively; analyzing the security verification results by comparing the results of static security analysis under different control modes, so that an N-1 static security analysis is achieved. The present invention fully researches the security of the IES, comprehensively considers the influence of the output changes of the coupling elements on the operating point of the energy system, and evaluates the security and stability of the IES.

Abstract: A synergic identification method for dynamic stability of a power system is provided, including: acquiring each dominant oscillation mode; acquiring a critical wavelet scale factor range corresponding to each dominant oscillation mode; calculating an oscillation modality of the dominant oscillation mode corresponding to the critical wavelet scale factor range by a right singular vector corresponding to a maximum value among first singular values of each reconstructed wavelet coefficient matrix in the critical wavelet scale factor range; calculating, according to the relation between left and right feature vectors and the estimated oscillation modality, a left feature vector corresponding to each dominant oscillation mode and calculating a participation factor of each measurement channel in this dominant oscillation mode; calculating direction cosines between measurement channels by the oscillation modality of the dominant oscillation mode, and classifying coherent generator groups or coherent bus groups in th

Abstract: The present invention discloses an N-1 static security analysis method for integrated energy system, including the following steps: constructing a static model of the IES including electro-gas-thermal coupling elements, calculating multiple energy flow equations, and calculating the multiple energy flow of the IES to obtain an operating status of the IES; constructing a N-1 preconceived accident set, calculating multiple energy flow of the IES, and performing security verification to the status of the coupling elements in each preconceived accident set, respectively; analyzing the security verification results by comparing the results of static security analysis under different control modes, so that an N-1 static security analysis is achieved. The present invention fully researches the security of the IES, comprehensively considers the influence of the output changes of the coupling elements on the operating point of the energy system, and evaluates the security and stability of the IES.

Abstract: There is provided an optimization model and methods for quick track of a Static Voltage Stability Region (SVSR) boundary of a power system. The methods include using a base power flow as a starting point to track a first power system SNB point by a traditional OPF and mapping the SNB point to obtain an SVSR boundary point, and includes repetitively changing a power stress direction to a new direction and tracking a power system SNB point in the new power stress direction and mapping the power system SNB point to obtain a new SVSR boundary point, and includes returning to the first power system SNB point if the power stress direction angle is ?0; repetitively changing the power stress direction to a new direction and tracking a power system SNB point and mapping the power system SNB point to obtain a new SVSR boundary point.

Abstract: There is provided an optimization model and methods for quick track of a Static Voltage Stability Region (SVSR) boundary of a power system. The methods include using a base power flow as a starting point to track a first power system SNB point by a traditional OPF and mapping the SNB point to obtain an SVSR boundary point, and includes repetitively changing a power stress direction to a new direction and tracking a power system SNB point in the new power stress direction and mapping the power system SNB point to obtain a new SVSR boundary point, and includes returning to the first power system SNB point if the power stress direction angle is ?0; repetitively changing the power stress direction to a new direction and tracking a power system SNB point and mapping the power system SNB point to obtain a new SVSR boundary point.