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.