4results about How to "Improve operating profit" patented technology

The invention discloses a method for distributed photovoltaic reactive power compensation, which belongs to the field of photovoltaics, and the method steps are as follows: S1, investigate the capacitance capacity Q of the capacitor cabinet before the factory; S2, connect the intelligent composite switch in series with each group of capacitors; S3, reliably connect the intelligent composite switch with the four-quadrant functional reactive controller, and realize the automatic adjustment of the four-quadrant functional reactive controller and 18 groups of capacitors; S4, calculate the reactive power compensation capability range value Qi that the photovoltaic inverter can provide; S5, after the four-quadrant functional reactive controller detects the power factor of the second bus, it completes the primary adjustment; S6, when the AVC system detects that the power factor of the first bus meets the standard value, it does not issue instructions to each group of photovoltaic inverters; S7, when the AVC system detects that the standard value is not met, the secondary adjustment of the power factor of the factory is realized. The invention improves the utilization rate of distributed power generation and improves the profit of power generation operation; it has an alarm reminder function, avoids the waste of effective resources, and saves the investment of funds.

The invention provides a micro-grid energy optimization management method and device, equipment and a medium. The method comprises the steps that a micro-grid model constructed for a micro-grid system and state data of the micro-grid system at the current moment are acquired; wherein the micro-grid model comprises an energy storage system model of a target energy storage subsystem, an equipment model corresponding to any temperature control load TCL equipment in a temperature control load TCL equipment cluster, and a residence load model corresponding to any family in a plurality of families; determining an optimal execution action of the micro-grid system at the current moment through a reinforcement learning algorithm according to the state data at the current moment in combination with a micro-grid model; and controlling the micro-grid system to operate according to the optimal execution action, so that the operating profit of the micro-grid system is the highest. Therefore, the micro-grid system can be controlled to operate in real time according to the economic optimization operation strategy, so that the system always operates in the optimal state, and maximization of economic benefits is realized.

The invention discloses a virtual power plant price incentive method giving consideration to multiple subjects, and relates to a price evaluation method of a virtual power plant for flexible resources. The method aims at solving the problems that an existing virtual power plant price excitation method cannot achieve cooperative operation between different subjects in a virtual power plant and cannot excite flexible resources to spontaneously and actively participate in receiving superior scheduling instructions. The method comprises the following specific steps: step 1, establishing a virtual power plant optimization layer model and a flexible resource optimization layer model; the virtual power plant optimization layer model comprises a virtual power plant operation cost function and an operation cost optimization constraint condition; the flexibility resource optimization layer model comprises an operation objective function and an operation objective optimization constraint condition; step 2, substituting the operation target optimization constraint condition into the operation cost optimization constraint condition to obtain a planning problem model; and step 3, solving the planning problem model to obtain pricing of the virtual power plant for each flexible resource.

This invention discloses a thermal resistance battery cell assembly with monitorable lifespan, comprising a battery cell body, an expansion force tester, and a battery cell lifespan indicator. The battery cell lifespan indicator is electrically connected to a first temperature sensor, a second temperature sensor, and a third temperature sensor via temperature sensing wires. It is also electrically connected to the battery cell body via a wire and to the expansion force tester via an expansion force communication line. The battery cell lifespan indicator includes an electrical signal processing and analysis module and a thermal resistance logic operation module. The electrical signal processing and analysis module is responsible for collecting various signal values ​​during the charging and discharging of the battery cell body. The thermal resistance logic operation module adopts an AI-powered integrated design that combines monitoring, calculation, learning, inference, and communication. This invention effectively solves the problem of existing thermal resistance battery cells lacking monitorability and controllability by monitoring the charging and discharging operation status of the battery cell body in real time through the battery cell lifespan indicator.