公开(公告)号：US11689024B2

公开(公告)日：2023-06-27

申请号：US17383658

申请日：2021-07-23

Applicant: Tsinghua University

Inventor： Wenchuan Wu ,  Shuwei Xu ,  Boming Zhang ,  Hongbin Sun ,  Bin Wang ,  Qinglai Guo

IPC: H02J3/38 ,  G05B19/042

CPC classification number: H02J3/381 ,  G05B19/042 ,  G05B2219/2639 ,  H02J2203/20 ,  H02J2300/28

Abstract: The disclosure relates to a two-side stochastic dispatching method for a power grid. By analyzing historical data of wind power, the Gaussian mixture distribution is fitted by software. For certain power system parameters, a two-side chance-constrained stochastic dispatching model is established. The hyperbolic tangent function is used to analyze and approximate cumulative distribution functions of random variables in the reserve demand constraint and the power flow constraint, to convert the two-side chance constraint into a deterministic constraint. The disclosure can have the advantage of using the hyperbolic tangent function to convert the two-side chance constraint containing risk levels and random variables into the solvable deterministic convex constraint, effectively improving the solution efficiency of the model, and providing decision makers with a more reasonable dispatching basis.

公开(公告)号：US11043818B2

公开(公告)日：2021-06-22

申请号：US16542620

申请日：2019-08-16

Applicant: TSINGHUA UNIVERSITY ,  STATE GRID CORPORATION OF CHINA

Inventor： Wenchuan Wu ,  Bin Wang ,  Mingjie Li ,  Hongbin Sun ,  Qinglai Guo ,  Yue Yang ,  Shuwei Xu

IPC: H02J3/38 ,  G05B19/042

Abstract: The disclosure provides a stochastic look-ahead dispatch method for power system based on Newton method, belonging to power system dispatch technologies. The disclosure analyzes historical data of wind power output, and uses statistical or fitting software to perform Gaussian mixture model fitting. A dispatch model with chance constraints is established for system parameters. Newton method is to solve quantiles of random variables obeying Gaussian mixture model, so that chance constraints are transformed into deterministic linear constraints, thus transforming original problem to convex optimization problem with linear constraints. Finally, the model is solved to obtain look-ahead dispatch. The disclosure employs Newton method to transform chance constraints containing risk level and random variables into deterministic linear constraints, which effectively improves model solution efficiency, and provides reasonable dispatch for decision makers. The disclosure is employed to the dispatch of the power system including large-scale renewable energy grid-connected.

公开(公告)号：US10923916B2

公开(公告)日：2021-02-16

申请号：US16542651

申请日：2019-08-16

Applicant: TSINGHUA UNIVERSITY ,  STATE GRID CORPORATION OF CHINA

Inventor： Wenchuan Wu ,  Bin Wang ,  Mingjie Li ,  Hongbin Sun ,  Qinglai Guo ,  Yue Yang ,  Shuwei Xu

IPC: H02J3/38 ,  G05B17/02

Abstract: The disclosure provides a stochastic dynamical unit commitment method for power system based on solving quantiles via Newton method, belonging to power system technologies. The method establishes a unit commitment model with chance constraints for power system parameters. Quantiles of random variables obeying mixed Gaussian distribution is solved by Newton method, and chance constraints are transformed into deterministic linear constraints, so that original problem is transformed into mixed integer linear optimization problem. Finally, the model is solved to obtain on-off strategy and active power plan of units. The disclosure employs Newton method to transform chance constraints containing risk level and random variables into deterministic mixed integer linear constraints, which effectively improves the model solution efficiency, eliminates conservative nature of conventional robust unit commitment, provides reasonable dispatch basis for decision makers. The disclosure is employed to the stochastic and dynamic unit commitment of the power system including large-scale renewable energy grid-connected.