6 results about "Peak load" patented technology

The present application provides an optimization scheduling method considering the participation of chicken house flexible resources in power distribution network peak load shifting, and relates to the cross technical field of facility agriculture and power grid optimization scheduling, which comprises the following steps: based on the industry load in the whole cycle, using the heat production equation and mechanism model equation of cage chicken house application scene, a typical cage chicken house daily constant temperature energy demand model is constructed; based on the constructed typical cage chicken house daily constant temperature energy demand model, the cage chicken house load is classified, and the classified load is superimposed to construct a load flexibility potential model; based on the constructed load flexibility potential model and the power grid peak load shifting model of adjustable load, by setting the objective function and constraint condition, and using the model optimization algorithm, the optimization scheduling scheme of power distribution network peak load shifting is obtained. The power grid peak load shifting model based on adjustable load constructed by the present application smooths the load curve of power grid, and realizes the economic operation of power grid.

The application discloses a diagnosis method of key state points of post-peak unloading of a thin-walled structure, and particularly relates to the field of thin-walled structure performance analysis. The method comprises the following steps: obtaining a displacement sequence, a load sequence, an external work sequence and an elastic strain energy sequence of a composite material with a thin-walled structure in a loading process; determining the cumulative dissipation energy of each displacement point according to the difference between the external work sequence and the elastic strain energy sequence; determining the dissipation energy change rate of each displacement point according to the cumulative dissipation energy and the displacement sequence; determining the tangent stiffness spectrum of each displacement point according to the load sequence and the displacement sequence, so as to obtain a tangent stiffness spectrum sequence; obtaining a displacement point corresponding to a maximum load as a peak load point; determining a damage starting point in the displacement sequence according to the dissipation energy change rate; and determining an unloading inflection point in the displacement sequence according to the tangent stiffness spectrum sequence. Based on the above method, the reliability of a diagnosis conclusion can be improved.

The invention relates to a plant comprising at least: a gas turbine; a generator; a chimney (16) into which the hot exhaust gas from the gas turbine can be directed; a catalytic converter section (39) in the chimney (16), wherein nozzles (36) are arranged upstream of the catalytic converter section (39) and can inject a liquid in order to reduce the temperature of the hot exhaust gas from the gas turbine; optionally, a steam turbine and a heat recovery steam generator (HRSG).

The present application belongs to the field of DC interconnected power system dispatching technology, and provides a DC interconnected power grid optimal dispatching method based on thermal power and energy storage reserve cross-region mutual aid, comprising: peak load regulation and frequency modulation demand quantification model construction, peak load regulation and frequency modulation capacity quantification model construction, whole process frequency safety constraint setting, overall reserve mutual aid coupling relationship constraint setting, optimization objective function setting, peak load regulation and frequency modulation safety collaborative dispatching model construction, optimal dispatching result solving and execution; the present application, through quantification processing and safety constraint construction of power grid volatility and uncertainty, reserve mutual aid capacity, guarantees active frequency safe operation of the DC interconnected power grid; through the constructed overall reserve mutual aid coupling relationship constraint, a reasonable thermal power unit, energy storage and DC tie line coupling operation model is provided; through integrating the target constraint into a constraint set and performing dispatching optimization based on the constraint set, the safety and accuracy of system dispatching are improved.

The present application relates to power grid dispatching and engineering scheduling data processing technical field, disclose a construction project power cut range prediction method based on artificial intelligence, including: the semantic analysis of construction plan declaration text, extraction equipment identification, operation type and time window and so on scheduling parameter;According to the operation type and equipment two-dimensional coordinate construction space interference area, generate physical operation lockout list;Based on the distribution network connectivity graph model and lockout list deduce power failure island, and evaluate the link residual capacity of edge tie-in switch;When the peak load is greater than the residual capacity, the required operation boundary is trapped in the physical lockout list, trigger time window sliding optimization mechanism, select the recommended construction time window in the candidate time interval, which meets the load transfer requirement and has a legal operation boundary;Generate and issue the power cut range node network list binding time constraint.The present application effectively resolves the conflict between the space safety constraint and the transfer power capacity limit in engineering scheduling, avoids business process deadlock.

This invention relates to a method for active load balancing in distribution networks based on multi-charging station collaboration, belonging to the field of power and energy systems. This method aggregates multiple charging stations within the same regional distribution network into a backup energy storage system. By integrating a charging pile cluster power regulation unit, a dedicated distribution transformer monitoring module, and an active load balancing algorithm, it achieves coordinated and optimized scheduling between multiple charging stations and the distribution network. The system executes power regulation commands based on the peak and valley load conditions of the distribution network: during peak load periods, a power reduction strategy is triggered to reduce the operating power of eligible charging piles to alleviate peak load; during off-peak load periods, a power increase strategy is implemented to increase the charging power of charging piles to absorb surplus energy. Simultaneously, the adjustable margin of the charging pile cluster and transformer is evaluated from two dimensions to ensure safe equipment operation. This invention significantly improves the operational stability of the distribution network and the renewable energy absorption capacity, demonstrating good practicality and engineering application prospects.