Abstract: The present invention discloses a unit commitment method considering security region of wind turbine generators with frequency response control, and the main steps are: 1) determining security region of wind turbine generators when provides frequency response; 2) based on the security region of the wind turbine generators when provides frequency response, establishing a unit commitment model considering security region of wind turbine generators; and 3) calculating the unit commitment model considering the security region of the wind turbine generators by using mixed-integer linear programming method, and obtaining the operation result of the unit commitment considering the security region of the wind turbine generators with frequency response control. The present invention can be widely used in the setting of frequency response parameters of wind turbine generators dispatched in the prior art and the start-stop and output plans of synchronous generator.

Abstract: The present invention discloses a unit commitment method considering security region of wind turbine generators with frequency response control, and the main steps are: 1) determining security region of wind turbine generators when provides frequency response; 2) based on the security region of the wind turbine generators when provides frequency response, establishing a unit commitment model considering security region of wind turbine generators; and 3) calculating the unit commitment model considering the security region of the wind turbine generators by using mixed-integer linear programming method, and obtaining the operation result of the unit commitment considering the security region of the wind turbine generators with frequency response control. The present invention can be widely used in the setting of frequency response parameters of wind turbine generators dispatched in the prior art and the start-stop and output plans of synchronous generator.

Abstract: The present invention belongs to the field of functional materials, and particularly relates to a directly printable image recording material, a preparation method and application thereof. The image recording material comprises 25 to 78.8 parts by mass of a photopolymerizable monomer, 0.2 to 5 parts by mass of a photoinitiator, 20 to 70 parts by mass of an inert component, and 0.05 to 2 parts by mass of a thermal polymerization inhibitor, and has an initial viscosity of 200 to 800 mPa·s. The photopolymerizable monomer includes a thiol monomer and an olefin monomer, at least one of which is a silicon-based monomer with polyhedral oligomeric silsesquioxane as a silicon core.

Abstract: A dispatch method and device for a power system are provided. The method includes: establishing an optimal power flow model, the optimal power flow model includes an objective function and constraints, the objective function is configured to indicate a minimum total cost of active power production and reactive power production of generators; solving the optimal power flow model to obtain dispatch parameters for the power system; and dispatching the power system based on the dispatch parameters.

Abstract: The present invention belongs to the field of functional materials, and particularly relates to a directly printable image recording material, a preparation method and application thereof. The image recording material comprises 25 to 78.8 parts by mass of a photopolymerizable monomer, 0.2 to 5 parts by mass of a photoinitiator, 20 to 70 parts by mass of an inert component, and 0.05 to 2 parts by mass of a thermal polymerization inhibitor, and has an initial viscosity of 200 to 800 mPa·s. The photopolymerizable monomer includes a thiol monomer and an olefin monomer, at least one of which is a silicon-based monomer with polyhedral oligomeric silsesquioxane as a silicon core.

Abstract: Embodiments provide a full-linear model for the optimal power flow of an integrated power and natural-gas system based on a deep learning method, mainly comprising following steps of: 1) establishing an integrated power and natural-gas system and acquiring basic data of the integrated power and natural-gas system; 2) establishing a linear natural-gas model based on deep learning; and 3) based on the linear natural-gas model, establishing a full-linear model for the optimal power flow of the integrated power and natural-gas system. In the full-linear model for the optimal power flow of an integrated power and natural-gas system based on a deep learning method provided by the present invention, one-segment linearization is performed on a natural-gas pipeline model. Compared with the conventional segmented linear model, the method provided by the present invention can greatly improve the calculation efficiency.

Abstract: A dispatch method and device for a power system are provided. The method includes: establishing an optimal power flow model, the optimal power flow model includes an objective function and constraints, the objective function is configured to indicate a minimum total cost of active power production and reactive power production of generators; solving the optimal power flow model to obtain dispatch parameters for the power system; and dispatching the power system based on the dispatch parameters.