Northeast Electric Power University

Xiaohui Li

Xue Li

Houhe Chen

Guoqing Li

Song Zhang

Rufeng Zhang

Tao Jiang

Changjiang Wang

Junyan Shao

Benxin Li

Shuguang Li

Haoyu Yuan

Mingyu Zhang

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.

N-1 static security analysis method for integrated energy system

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 &#x2264;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.

Optimization model for quick track of SVSR boundary of power system

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Jilin, China

Xiaohui Li