11results about How to "Improve consumption level" patented technology

According to the industrial park anti-countercurrent control method and system fused with the source storage adjustable margin, when a countercurrent risk exists, based on a flexible control target, layered adjustment values of distributed power supply output under an early warning level and an action level are determined; determining a hierarchical adjustment value of the energy storage power under the security level; under the safety level, if the countercurrent urgency index is not larger than 0, energy storage stops discharging, and if the countercurrent urgency index is within the energy storage power adjustable margin range, energy storage charging is controlled based on a layered adjustment value of the energy storage power adjustable margin range; under the early warning level, if the countercurrent urgency index is within the adjustable margin range of the output of the distributed power supply, the energy storage charging power is controlled to be maximum, and the output of the distributed power supply is controlled based on the hierarchical adjustment value of the output of the distributed power supply; under the action level, if the countercurrent urgency index is not within the adjustable margin range of the distributed power supply output and the energy storage power, executing the generator tripping operation of the distributed power supply; and the utilization efficiency and the economic benefit of distributed energy sources are maximized while the power of the park is ensured not to flow back.

The invention discloses a wind and light storage cooperative control system based on source load matching. The system aligns a source load storage network and communication information and carries out credible evaluation; wind, light and load are predicted, and uncertainty levels are given; calculating a matching degree and a short plate hot spot, and combining network side hard constraints such as voltage, power flow and reverse transmission to obtain an acceptable boundary; when the matching is qualified and the complementary energy is still available, identifying the complementary energy / energy shortage and the reason, quickly checking the transferable margin and loss by the edge, generating a routing plan containing retention time and action budget, and scheduling the stored energy and the flexible load in a rolling manner; meanwhile, the risk budget and standby are written back according to feasibility, prediction uncertainty and communication quality, gray release and automatic rollback are achieved in cooperation with degradation and playback scoring, and consumption and traceability are improved.

The application provides a mobile energy storage planning and configuration method for an active power distribution network, comprising: establishing a charging and discharging model and a displacement model of the mobile energy storage; taking the maximum annual income of the mobile energy storage as an objective function, taking the maximum annual income of the mobile energy storage as an objective function, taking the distributed power output constraint, the mobile energy storage access power constraint, the power distribution network power flow constraint, the safety constraint, and the established charging and discharging model and displacement model of the mobile energy storage as constraint conditions, and establishing a mobile energy storage planning model for the active power distribution network; converting the mobile energy storage planning model for the active power distribution network into a mixed integer second-order cone model; and solving the mixed integer second-order cone model to obtain an optimal configuration scheme of the mobile energy storage. The application can improve the power fluctuation and the abandoned wind and light problems after the distributed power is connected to the power distribution network, and can maximize the investment income of the mobile energy storage under the premise of ensuring the safe operation of the power distribution network, thereby improving the economy of the power distribution network operation.

The invention discloses an operation state regulation and optimization method for a power distribution network containing a distributed power supply and a flexible load, and the method comprises the following steps: obtaining a topological structure and operation parameters of the power distribution network, and constructing a power distribution network operation state regulation model according to the topological structure and the operation parameters; on the basis of a power distribution network operation state regulation and control model, a traditional knowledge acquisition sharing algorithm is improved, and a spiral updating strategy is introduced to guide a search individual to approach a current candidate optimal solution along a spiral trajectory; and performing iterative solution on the operation state regulation and control model by using an improved knowledge acquisition sharing algorithm to obtain operation optimization configuration of the power distribution network. According to the method, the global search capability and the local convergence precision of the algorithm are remarkably improved, so that the operation optimization configuration can be quickly and accurately obtained, and the stability, the adaptability and the overall operation performance of the power distribution network when the power distribution network deals with renewable energy output fluctuation and load change are enhanced.

The application discloses a substation openable capacity access evaluation method considering flexible resources, and belongs to the field of substation openable capacity evaluation. First, a substation openable capacity calculation model is established, then a substation optimization scheduling model considering flexible resources is established by considering energy storage systems and orderly charging of electric vehicles, the maximum value of the equivalent load of the substation is obtained, and finally, the substation openable capacity calculation model is solved. On the basis of the existing openable capacity research, the energy storage system is considered to participate in peak load shifting and valley filling, and the electric vehicles are considered to be orderly charged. The minimum peak-valley difference of the substation load and the lowest charging cost of the electric vehicle users are taken as the objective functions, the substation optimization scheduling model considering flexible resources is established, the effects of suppressing new energy power fluctuation, improving new energy consumption level and relieving peak shaving pressure are achieved, the power supply potential of the substation is fully tapped, the user side load peak is reduced, and thus the openable capacity of the substation is improved.

The application provides a wind-solar-thermal-storage-hydrogen system double-layer optimization scheduling method for deep regulation risk, constructs a system net load sequence and a dynamic risk potential field based on power system source network load storage data, establishes an upper layer optimization model, takes risk mitigation and regulation resource optimization allocation as targets, solves power distribution boundaries of each period, constructs a lower layer optimization scheduling model with the minimum system comprehensive operation cost as the target, solves the power distribution boundaries as constraints to obtain a scheduling scheme, performs risk identification and constraint checking on the scheme, if there is risk or the constraint is not satisfied, updates the risk potential field and the upper layer model according to the risk information and iterates, if there is no risk, the constraint is satisfied and the convergence condition is reached, the final scheme is output. The method can perceive deep regulation risk evolution, adaptively adjust resource priority, and utilize lower layer risk information closed loop correction, and can consider new energy consumption, thermal power deep regulation inhibition, energy storage life, P2G consumption and power grid safety.

The invention relates to the technical field of transformer scheduling, in particular to an oil-immersed transformer scheduling and response system and method for power grid stability, and the method comprises the following steps: synchronously collecting the real-time operation state data and environmental meteorological data of a transformer; dynamically correcting a heat dissipation coefficient of a transformer thermal model based on the real-time air pressure; a winding hot-spot temperature dynamic change track is generated through the transformer thermal model; based on the dynamic change track, the multi-dimensional dynamic hot redundancy is calculated in parallel; taking the multi-dimensional dynamic hot redundancy as a core constraint, performing rolling optimization scheduling through model prediction control, and generating a coordination control instruction of the transformer and the new energy station by taking maximization of the total consumption amount of the new energy and minimization of the load fluctuation of the transformer in a scheduling period as optimization objectives; and executing the coordination control instruction to dynamically adjust the operation state of the power grid. According to the invention, collaborative improvement of transformer dynamic load safety and new energy efficient consumption can be realized.

The invention provides a shank massaging mechanism of a foot bath device. The foot bath device is characterized in that the shank massaging mechanism is mounted at a rear mounting position in a barrel of the foot bath device; a long-strip-shaped massage transverse gear shaft is transversely and movably installed in a gear box installed on the front side of the rear bottom plate in the shank pressing and pinching mechanism, a left pressing and pinching assembly and a right pressing and pinching assembly are fixedly installed on the left side and the right side of the gear box and the left installation end and the right installation end of the massage transverse gear shaft, and eccentric sleeve assemblies are arranged in the pressing and pinching assemblies. Compared with the prior art, the shank pressing and pinching mechanism has the advantages that the eccentric sleeve assemblies of the left pressing and pinching assembly and the right pressing and pinching assembly are driven by the massage gear shaft to rotate; the four massage head assemblies of the left and right groups of pressing and kneading assemblies are eccentrically driven to perform eccentric inward clamping and kneading, and are opened and relaxed to perform massage actions on the shanks, so that the massage experience and the rehabilitation curative effect are better.

The invention relates to the technical field of control, in particular to a coal power unit thermoelectric decoupling real-time optimization scheduling method and system based on model prediction control and a computer readable storage medium. The system comprises a data acquisition and processing layer used for acquiring key equipment data in real time through a data acquisition module and transmitting the key equipment data to a data preprocessing module for processing through a distributed control system, and a model prediction control core layer used for predicting the key equipment data through a constructed multivariable prediction model. Predicting equipment data of the cogeneration unit by taking the net power generation power, the heat supply load and the main steam pressure of the unit as controlled variables, generating an operation instruction based on a predicted equipment value, and performing prediction optimization on the unit instruction in a set period to obtain an optimal operation instruction; and the instruction execution and monitoring layer is used for sending the unit instruction to a corresponding control loop and monitoring key safety parameters of the unit in real time.

The invention relates to a central decision and double-end execution port multi-energy supply and demand intelligent collaborative management and control method, which comprises the following steps: S1, constructing an operation environment based on an actual scene of a port; s2, constructing a port multi-energy supply and demand intelligent collaborative management and control framework; s3, collecting data of an energy side and a production side, and synchronizing the data to the multi-energy supply and demand coordination agent; s4, constructing a total data pool and performing multi-energy supply and demand prediction; s5, generating a scheduling instruction through an optimization algorithm, and transmitting the instruction to a port energy management and control agent and a port production management and control agent; s6, performing cooperative control on each energy unit of the port; s7, dynamically optimizing the production task and the equipment time sequence; and S8, the multi-energy supply and demand coordination agent corrects the prediction result based on the execution deviation, and synchronously adjusts a subsequent scheduling decision. The stability, the energy utilization efficiency and the low-carbon operation level of port multi-energy supply and demand cooperative operation are effectively improved, and good engineering application value is achieved.

The application relates to a dispatching control method and system of an integrated energy storage power station interconnection system, and relates to the technical field of offshore power management. The method comprises the following steps: taking the maximum equivalent effective utilization of the interconnection system as an optimization target in a dispatching model, quantitatively comparing wind power consumption, pumped storage regulation contribution, power loss and operation and maintenance cost by mapping them to the power scale, expanding the dispatching decision from instantaneous power balance to the optimization of the overall energy utilization level in the dispatching period, and more truly reflecting the system operation efficiency; and discretizing the dispatching period into multiple dispatching time periods, introducing power balance constraints, equipment output constraints, interconnection line transmission constraints and seawater pumped storage power station exclusive constraints in each time period, so that the dispatching result meets the new energy output fluctuation characteristics, the traditional equipment operation limitation and the energy storage energy state evolution law, and the safety and the executability of the dispatching scheme are significantly improved.