6 results about "Combination method" patented technology

The invention relates to the technical field of power system unit combination, and discloses a power system unit combination method, system and device and a medium, and the method comprises the steps: obtaining a plurality of key parameters of a power grid; constructing a fault probability model and a heat balance equation based on the parameters; the preprocessing model outputs to determine a fault scene and a power grid unit state; establishing a combined model containing an objective function and constraint conditions; and solving the model to obtain a unit commitment scheme. According to the method, the power system physical model and the multi-type power supply combination model under the ice disaster weather are developed, meanwhile, the line repair strategy during the ice disaster period is optimized, and the emergency response and capability of the power system in the ice disaster are shown. In addition, the invention also proposes to optimize the structure of the unit combination network under the ice disaster condition, so as to reduce the power transmission congestion, reduce the load loss and reduce the total cost.

The invention relates to the technical field of multi-source information fusion, in particular to a fusion estimation method for solving a two-step random observation time delay and state time delay system, aiming at uncertain noise variance, multiplicative noise and two-step random observation time delay, two Bernoulli distribution random variables with known distribution are used for describing the random time delay. An original system model is converted into a multi-model multi-sensor system only having an uncertain noise variance by using a model conversion method composed of an augmentation method, a de-randomization method and a virtual noise method. According to a maximum and minimum robust estimation principle, a robust local steady-state Kalman estimator is provided under a unified framework. According to the method, two robust centralized fusion steady-state Kalman estimators are deduced by using a centralized observation fusion algorithm and a centralized state fusion algorithm, and in addition, the robustness of the estimated estimators is proved by using a combined method consisting of an augmented noise method, a positive semidefinite matrix decomposition method, a quadratic matrix representation method and a Lyapunov equation method.

The application discloses a PPP / UWB tight combination positioning method and system and a storage medium, wherein a third-order spherical radial volume criterion is used to realize nonlinear propagation of a measurement equation, and the influence of linearization errors of a traditional method is effectively weakened; by introducing variance component estimation, a GNSS and UWB measurement variance and covariance matrix is adaptively adjusted according to residual statistical characteristics, and adaptive adjustment of the measurement variance and covariance matrix is realized; meanwhile, in combination with a robust weight function, observation data containing gross errors and outliers are weighted and suppressed, and the robustness and anti-interference ability of a filtering system are improved. Compared with a traditional PPP / UWB combination method, the application can adaptively adjust the variance and covariance matrix according to environmental changes, and the influence of inaccurate empirical values and observation abnormalities on positioning results is significantly reduced; through volume Kalman filtering, linearization errors caused by the removal of high-order terms in Taylor first-order expansion are avoided.

The present application relates to the technical field of integrated energy system optimization scheduling, and discloses a method for unit commitment of an integrated electricity-heat system based on an interior point Benders decomposition, which comprises the following steps: firstly, a mixed integer linear programming model is constructed, and decision variables such as power unit start-stop / scheduling, heat system output and heat supply network temperature are determined, so as to minimize the total operation cost of the system, integrate multiple constraint conditions, and use the method of characteristics to analyze the partial differential equation of pipe temperature conduction, thereby improving the accuracy of dynamic temperature description; and secondly, the model is solved by combining the improved Benders decomposition algorithm of the interior point method, so as to realize parallel solving of the main problem and the sub-problem. Through simulation verification of an IEEE standard system, the method can realize collaborative optimization scheduling of the electricity-heat system, adapt to wind power uncertainty, ensure the stability of the system, reduce the operation cost and improve the energy utilization efficiency.

The invention relates to the technical field of optimal scheduling of an integrated energy system, and discloses an electric heating integrated energy system unit combination method based on interior point Benders decomposition. The method comprises the following steps: firstly, constructing a mixed integer linear programming model, determining decision variables such as power unit start-stop / scheduling, thermodynamic system output and heat supply network temperature, aiming at minimizing the total operation cost of the system, integrating multiple constraint conditions, analyzing a pipeline temperature conduction partial differential equation by adopting a characteristic line method, and improving the temperature dynamic description accuracy; and the model is solved through an improved Benders decomposition algorithm combined with an interior point method, and parallel solving of the main problem and the sub-problems is achieved. Through IEEE standard system simulation verification, the method can realize electric-thermal system collaborative optimization scheduling, adapts to wind power uncertainty, guarantees system stability, reduces operation cost, and improves energy utilization efficiency.

The invention discloses a PPP / UWB tight combination positioning method and system, and a storage medium, and the method achieves the non-linear propagation of a measurement equation through a third-order ball radial volume criterion, and effectively weakens the influence of the linearization error of a conventional method. Through introduction of variance component estimation, GNSS and UWB measurement variance covariance matrixes are adaptively adjusted according to residual statistical characteristics, and adaptive adjustment of the measurement variance covariance matrixes is realized. And meanwhile, in combination with a robust weight function, weighted suppression is performed on observation data containing gross errors and abnormal values, so that the robustness and the anti-interference capability of the filtering system are improved. Compared with a traditional PPP / UWB combination method, the method has the advantages that the variance and covariance matrix can be adaptively adjusted according to environmental changes, and the influence of inaccurate empirical values and observation abnormity on a positioning result is remarkably reduced; through volume Kalman filtering, linearization errors caused by rejection of high-order terms in Taylor first-order expansion are avoided.