Abstract: The present disclosure relates to a method for predicting an amount of water-sealed gas in a high-sulfur water-bearing gas reservoir. The method solves the problem that no method has yet been proposed for predicting the amount of water-sealed gas in a high-sulfur water-bearing gas reservoir. According to the technical solution, the method includes: considering that the volume of the gas reservoir does not change during the production of the constant-volume gas reservoir, deriving, based on a material balance method, a material balance equation of the high-sulfur water-bearing gas reservoir in consideration of water-sealed gas and water-soluble gas, solving and drawing a chart of water-sealed gas in the high-sulfur water-bearing gas reservoir by an iterative algorithm, obtaining a recovery factor of the high-sulfur water-bearing gas reservoir in consideration of water-sealed gas and water-soluble gas, and further obtaining the amount of water-seal gas in the high-sulfur water-bearing gas reservoir.

Abstract: The present disclosure relates to a method for predicting an amount of water-sealed gas in a high-sulfur water-bearing gas reservoir. The method solves the problem that no method has yet been proposed for predicting the amount of water-sealed gas in a high-sulfur water-bearing gas reservoir. According to the technical solution, the method includes: considering that the volume of the gas reservoir does not change during the production of the constant-volume gas reservoir, deriving, based on a material balance method, a material balance equation of the high-sulfur water-bearing gas reservoir in consideration of water-sealed gas and water-soluble gas, solving and drawing a chart of water-sealed gas in the high-sulfur water-bearing gas reservoir by an iterative algorithm, obtaining a recovery factor of the high-sulfur water-bearing gas reservoir in consideration of water-sealed gas and water-soluble gas, and further obtaining the amount of water-seal gas in the high-sulfur water-bearing gas reservoir.

Abstract: An adaptive dynamic planning control method and system for a large-scale energy storage station. The method comprises: setting a structure and control target parameters of an adaptive dynamic planning control system; initializing the parameters and importing an initial state of a controlled object; calculating an original wind electricity power fluctuation rate at a current moment t and smoothing the original wind electricity power according to a change rate control strategy; calculating a smoothed wind storage power fluctuation rate, a power of an energy storage system, and a state of charge (SOC) of the energy storage system; initializing and training an evaluation module and an execution module; calculating and saving a control strategy, a smoothed wind storage power fluctuation rate, an energy storage power and a (SOC) at each moment; and outputting the control strategy at each moment, the smoothed wind storage power fluctuation rate, the energy storage power and the (SOC).

Abstract: An adaptive dynamic planning control method and system for a large-scale energy storage station. The method comprises: setting a structure and control target parameters of an adaptive dynamic planning control system; initializing the parameters and importing an initial state of a controlled object; calculating an original wind electricity power fluctuation rate at a current moment t and smoothing the original wind electricity power according to a change rate control strategy; calculating a smoothed wind storage power fluctuation rate, a power of an energy storage system, and a state of charge (SOC) of the energy storage system; initializing and training an evaluation module and an execution module; calculating and saving a control strategy, a smoothed wind storage power fluctuation rate, an energy storage power and a (SOC) at each moment; and outputting the control strategy at each moment, the smoothed wind storage power fluctuation rate, the energy storage power and the (SOC).

Abstract: The present invention provides an energy management method of a multi-type battery energy storage power station considering charge and discharge rates, that includes: reading related data of the battery energy storage power station; calculating charge or discharge rate characteristic values of battery energy storage machine sets; calculating initial power command values of the battery energy storage machine sets; judging whether the initial power command values of the battery energy storage machine sets exceed the maximum allowable charge or discharge power of the machine sets in real time, if more than, online correcting and re-calculating the initial power command values of the battery energy storage machine sets; otherwise, setting the initial power command values of the energy storage machine sets as the power command values thereof; and summarizing the power command values of the battery energy storage machine sets, and outputting the same.

Abstract: The invention provides a lithium battery and redox flow battery energy storage systems hybrid energy storage power station real-time power distribution method and system. The system comprises a communication module, a data storage and management module, a gross power coordination control module and a real-time power distribution module. The said method and system not only can complete the real-time distribution of each battery energy storage units in the battery energy storage station, but also the aims of effective control and distribution of the lithium-liquid flow cell combined energy storage power station and aims of effective control and distribution of the lithium-flow flow joint energy storage power station real-time power can be achieved.

Abstract: The present invention relates to a monitoring and controlling system and method for megawatt level battery energy storage power plant, which includes: a central monitoring and controlling module is used to determine the power command value of each energy storage substation of the battery energy storage power plant, and send it to all the local monitoring and controlling modules; the local monitoring and controlling modules is used to calculate the power command value of each energy storage unit of the energy storage substations controlled by it, and sending it to each energy storage unit, and upload to the central monitoring and controlling module to store. Between the central monitoring and controlling module and the local monitoring and controlling modules, the data transmission and communication are carried out through communication networks; the communication networks adopt real time and non real time communication parallel network structure.

Abstract: The invention relates to a method and system for smoothing the energy storage wind and photovoltaic power fluctuation based on rate control, including: reading and processing data; determining the signal change rate of the dynamic slope limiter; calculating the smoothing target value of the wind and photovoltaic total power; calculating total power demand of battery energy storage power station; and outputting data. The invention can effectively suppress wind and photovoltaic power fluctuation under the fluctuation rate limited value, can effectively smooth wind and photovoltaic power output. Thus it smoothens wind and photovoltaic power output, reduces the energy storage battery burden, and effectively controls battery energy storage power station system.

Abstract: The present invention relates to a monitoring and controlling system and method for megawatt level battery energy storage power plant, which includes a central monitoring and controlling module and local monitoring and controlling modules, between the two modules adopts real time and non real time communication parallel network structure to communicate with each other.

Abstract: The present invention provides an energy management method of a multi-type battery energy storage power station considering charge and discharge rates, that includes: reading related data of the battery energy storage power station; calculating charge or discharge rate characteristic values of battery energy storage machine sets; calculating initial power command values of the battery energy storage machine sets; judging whether the initial power command values of the battery energy storage machine sets exceed the maximum allowable charge or discharge power of the machine sets in real time, if more than, online correcting and re-calculating the initial power command values of the battery energy storage machine sets; otherwise, setting the initial power command values of the energy storage machine sets as the power command values thereof; and summarizing the power command values of the battery energy storage machine sets, and outputting the same.

Abstract: The invention provides a lithium battery and redox flow battery energy storage systems hybrid energy storage power station real-time power distribution method and system. The system comprises a communication module, a data storage and management module, a gross power coordination control module and a real-time power distribution module. The said method and system not only can complete the real-time distribution of each battery energy storage units in the battery energy storage station, but also the aims of effective control and distribution of the lithium-liquid flow cell combined energy storage power station and aims of effective control and distribution of the lithium-flow flow joint energy storage power station real-time power can be achieved.