Abstract: Disclosed are a short-term irradiance prediction method based on image processing and multimodal data fusion, a device thereof and a storage medium in the field of solar irradiance prediction. The method includes the following steps: acquiring irradiance data, and carrying out blurring processing on the irradiance data, where the irradiance data which has been subjected to blurring processing includes time information and irradiance information; converting the time information into an image layer containing the position of the sun, and drawing a circular area with the solar imaging center coordinate as the center and the radius r to obtain a time information layer image; fusing a normally exposed all-sky image, an underexposed all-sky image and a time information layer image, inputting the fused image data into a pre-built short-term solar irradiance prediction model, outputting a short-term irradiance prediction value.

Abstract: Disclosed are a risk assessment method for a distributed power distribution network considering a line fault and a device thereof, belonging to the field of risk assessment of faults of a power distribution network. The method includes the following steps: establishing a wind generating set output model, a photovoltaic module output model and a load model, and generating a wind generating set output data sample, a photovoltaic module output data sample and a load sample; establishing a short-term fault rate model of a wind generating set, a photovoltaic module and a line, and generating a system state sample; establishing an objective function and a constraint condition, and reconstructing the power distribution network to obtain the reconstructed power distribution network topology; carrying out the risk assessment and an entropy weight method.

Abstract: Disclosed are a risk assessment method for a distributed power distribution network considering a line fault and a device thereof, belonging to the field of risk assessment of faults of a power distribution network. The method includes the following steps: establishing a wind generating set output model, a photovoltaic module output model and a load model, and generating a wind generating set output data sample, a photovoltaic module output data sample and a load sample; establishing a short-term fault rate model of a wind generating set, a photovoltaic module and a line, and generating a system state sample; establishing an objective function and a constraint condition, and reconstructing the power distribution network to obtain the reconstructed power distribution network topology; carrying out the risk assessment and an entropy weight method.

Abstract: A multi-time scale voltage control method for an active distribution network is provided. The method comprises: establishing a voltage optimization approach taking into account a large scale of distributed power supplies to realize cooperative dynamic control in case of a voltage violation generated when the distributed power supplies are incorporated into a distribution network; under a long time scale, establishing a voltage control model for controlling a capacitor bank based on voltage sensitivity analysis to realize drastic voltage regulation in case of the voltage violation by means of reactive power compensation; and under a short time scale, establishing a distributed voltage control model, and considering the problem of voltage violation, solving an optimal control strategy online by fully using active and reactive power outputs of the distributed power supplies to realize quick voltage regulation.

Abstract: An electric-thermal integrated energy control method is provided. The method comprises predicting renewable energy and multivariate loads in an integrated energy system based on a pretrained SA-PSO-BP neural network; constructing an objective function of the integrated energy system, and adding power network constraints and heat network constraints for optimal scheduling; and obtaining an optimal solution of the objective function by means of a SA-PSO algorithm based on prediction results of the renewable energy and the multivariate loads, and controlling the integrated energy system according to the optimal solution of the objective function; wherein, a training process of the SA-PSO-BP neural network comprises: training a BP neural network by means of a feature training set, and iterating and updating weights and thresholds in the BP neural network in the training process by means of the SA-PSO algorithm to obtain the SA-PSO-BP neural network.

Abstract: A source-grid-load-storage networked collaborative frequency control method is disclosed, which comprises acquiring total active power ?P to be regulated during a secondary frequency regulation process of a power grid; performing frequency regulation by source-grid-load-storage of the power distribution system, allocating power regulation capacities, and determining whether the desired total active power is met after the frequency regulation; if the desired total active power is met, determining whether power of power generation units is out of limit; if the power of the power generation units is not out of limit, keeping active power of the power distribution system in balance to complete frequency regulation of the power grid; if the power of the power generation units is out of limit, correcting the power regulation capacities of the power generation units of the source-grid-load-storage and compensating a power difference to keep the active power of the power distribution system in balance.

Abstract: Disclosed are an emergency control method and system based on source-load-storage regulation and cutback. According to the method, output power of power generating sources is regulated according to a power regulating quantity and a frequency regulation requirement, an output power compensation and output frequency of each power generating source are maintained within permissible ranges, so that a balance between power supply and demand of a power distribution network is maintained; and standby energy-storage power stations are used to make up a power gap, and an external power supply system is used to assist in making up a power deficiency, so that large load disturbance can be handled make up the power gap.

Abstract: A multi-timescale voltage regulation method based on source-grid-load-storage multi -terminal collaboration of a power distribution network is disclosed, which comprises: establishing, based on a Petri network, a multi-mode switching control model based on voltage security event trigger to realize effective control of a global voltage; establishing multi-objective optimization taking into account a source-storage-load regulation cost and a network transmission loss to realize collaborative and dynamic control of controllable resources of a source terminal, a load terminal and a storage terminal in each operating mode; and establishing a source-storage-load multi-terminal collaboration-based distributed voltage control model based on voltage security event trigger over a short timescale by taking into account the problems of voltage magnitude being out of limit and voltage leap, and solving online an optimal control sequence of the source terminal, the load terminal and the storage terminal in a receding horiz

Abstract: Disclosed are an emergency control method and system based on source-load-storage regulation and cutback. According to the method, output power of power generating sources is regulated according to a power regulating quantity and a frequency regulation requirement, an output power compensation and output frequency of each power generating source are maintained within permissible ranges, so that a balance between power supply and demand of a power distribution network is maintained; and standby energy-storage power stations are used to make up a power gap, and an external power supply system is used to assist in making up a power deficiency, so that large load disturbance can be handled make up the power gap.

Abstract: A source-grid-load-storage networked collaborative frequency control method is disclosed, which comprises acquiring total active power ?P to be regulated during a secondary frequency regulation process of a power grid; performing frequency regulation by source-grid-load-storage of the power distribution system, allocating power regulation capacities, and determining whether the desired total active power is met after the frequency regulation; if the desired total active power is met, determining whether power of power generation units is out of limit; if the power of the power generation units is not out of limit, keeping active power of the power distribution system in balance to complete frequency regulation of the power grid; if the power of the power generation units is out of limit, correcting the power regulation capacities of the power generation units of the source-grid-load-storage and compensating a power difference to keep the active power of the power distribution system in balance.

Abstract: A networked control method for primary frequency regulation of a new energy power station based on a source-grid-load-storage networked cloud decision control system platform comprises: determining, according to historical operating data of a new energy power station, primary frequency regulation predictive values of power generation units of the new energy power station; determining, according to the primary frequency regulation predictive values, optimal control sequences of inverters of the power generation units at different times based on a pre-established inverter active power model, wherein the optimal control sequences comprise multiple control quantities of active power of the inverters; marking the optimal control sequences at the different times with time scales, sending the optimal control sequences to executing devices of the power generation units, receiving the optimal control sequences, and determining whether to store or not store the optimal control sequences; and determining the control qua

Abstract: A multi-timescale voltage regulation method based on source-grid-load-storage multi-terminal collaboration of a power distribution network is disclosed, which comprises: establishing, based on a Petri network, a multi-mode switching control model based on voltage security event trigger to realize effective control of a global voltage; establishing multi-objective optimization taking into account a source-storage-load regulation cost and a network transmission loss to realize collaborative and dynamic control of controllable resources of a source terminal, a load terminal and a storage terminal in each operating mode; and establishing a source-storage-load multi-terminal collaboration-based distributed voltage control model based on voltage security event trigger over a short timescale by taking into account the problems of voltage magnitude being out of limit and voltage leap, and solving online an optimal control sequence of the source terminal, the load terminal and the storage terminal in a receding horizo

Abstract: A networked control method for primary frequency regulation of a new energy power station based on a source-grid-load-storage networked cloud decision control system platform comprises: determining, according to historical operating data of a new energy power station, primary frequency regulation predictive values of power generation units of the new energy power station; determining, according to the primary frequency regulation predictive values, optimal control sequences of inverters of the power generation units at different times based on a pre-established inverter active power model, wherein the optimal control sequences comprise multiple control quantities of active power of the inverters; marking the optimal control sequences at the different times with time scales, sending the optimal control sequences to executing devices of the power generation units, receiving the optimal control sequences, and determining whether to store or not store the optimal control sequences; and determining the control qua