13 results about "Grid scheduling" patented technology

The invention discloses a micro-grid dispatching method, device and equipment and a storage medium, and relates to the technical field of micro-grid management and control, and the method comprises the steps: obtaining an energy operation model corresponding to target energy equipment in a target micro-grid; performing mixed integer programming operation based on the energy operation model to obtain a target operation curve; and performing power scheduling on the target energy equipment according to the target operation curve. According to the method, the mixed integer programming operation is performed according to the energy operation model pre-established for the target energy equipment in the micro-grid, so that the target operation curve corresponding to the optimal overall energy operation condition of the micro-grid is predicted, and power scheduling of the target energy equipment is performed based on the target operation curve. According to the invention, each energy device in the micro-grid is ensured to adaptively operate in an optimal state according to an actual condition, so that the effect of each energy device in a power system is exerted to the greatest extent, the overall economic benefit of the micro-grid is improved, and the energy consumption cost of the micro-grid is effectively reduced.

The application discloses a micro-grid scheduling optimization method and system based on a multi-target arctic sea parrot optimization algorithm, and the method comprises the following steps: establishing a multi-target optimization scheduling model of a micro-grid, wherein at least an operation and maintenance cost target function and an environmental protection cost target function are included in the multi-target optimization scheduling model; solving the multi-target optimization scheduling model by using a multi-strategy fusion multi-target arctic sea parrot optimization algorithm to obtain a Pareto optimal solution set; and determining an optimal output strategy of each distributed power generation unit in the micro-grid according to the Pareto optimal solution set. The algorithm has space exploration ability in the early stage and optimization precision in the later stage, and the optimization effect of micro-grid scheduling is improved.

1. The name of the design product: power grid scheduling data automation visualization display graphical user interface for electronic equipment. 2. The use of the design product: for real-time display of power grid related scheduling data, for display of team introduction. 3. The design points of the design product: in the front view. 4. The picture or photo that best indicates the design points: front view. 5. The usual design, omit the rear view, left view, right view, top view, bottom view. 6. The human-computer interaction mode of the graphical user interface: in the front view, click the "icon" below to enter interface change state diagram 1; in interface change state diagram 1, click "automation team introduction" below to enter interface change state diagram 2; in interface change state diagram 2, click the "icon" below to enter interface change state diagram 3; in interface change state diagram 3, click the "icon" below to enter interface change state diagram 4; in interface change state diagram 4, click the "icon" below to enter interface change state diagram 5.

The application belongs to the technical field of unmanned aerial vehicle task offloading, mobile edge computing and micro-grid energy management, and discloses a kind of fusion modeling method of unmanned aerial vehicle task offloading optimization and micro-grid scheduling, which is suitable for micro-grid environment containing new energy and hybrid energy storage.For the problems of independent task and energy scheduling, insufficient cross-time scale cooperation, weak uncertainty response capability and other problems in the prior art, the application constructs a "computing-energy-communication" trinity cooperation system and a "cloud-edge-end" hierarchical architecture, adopts double-time scale scheduling, introduces opportunity constraints to handle uncertainty, divides task priority and supports multiple types of unmanned aerial vehicles and charging methods, and solves the joint optimization model through Actor-Critic network and MPC cooperation.The application realizes the deep coupling of efficient task execution and economic and stable operation of micro-grid, significantly improves the task completion rate and renewable energy consumption rate, and is suitable for power grid inspection, disaster emergency response and other scenes.

The application provides a kind of business circle building micro-grid scheduling method considering central air conditioning demand response, steps include: obtaining the equipment operating parameters of central air conditioner, calculating the nonlinear characteristics of energy efficiency ratio with partial load rate and determining physical constraints, establishing a refined multi-cool machine central air conditioning system physical model;Obtain building thermal parameters, indoor and outdoor real-time temperature and thermal comfort temperature interval, quantify the adjustment margin;Integrate micro-grid other equipment operating parameters, central air conditioning physical model and adjustment margin, establish micro-grid basic optimization model, for the three-stage optimization micro-grid basic optimization model constraint conditions and objective function of pre-regulation, demand response regulation and post-regulation, strengthen the cold balance constraint as a distributed robust opportunity constraint, then linearization treatment, finally obtain mixed integer programming model and solve to obtain the optimal day-ahead scheduling scheme.The application significantly reduces the system operation cost on the basis of ensuring building thermal comfort and reliable cooling.

The application discloses a micro-grid energy management optimization method and system based on a large language model, relates to the technical field of micro-grids, and solves the technical problem that the predictability of a micro-grid prediction model is insufficient, which affects practical application. The method comprises the following steps: based on historical state data of a micro-grid, a small model agent is constructed and trained; micro-grid scheduling information is acquired, a prompt word module is designed through the scheduling information, and a large model agent is constructed based on a base large model and the prompt word module; the small model agent continuously acquires real-time information of the micro-grid, generates a small model decision, supplements the prompt word module through the small model decision and the real-time information of the micro-grid, and the large model agent generates a large model decision according to the supplemented prompt word module; and based on deviation threshold judgment between the small model decision and the large model decision, a coherent real-time decision response is output. The application ensures the explainability of decision generation and facilitates practical application in micro-grid energy management.

The application discloses an intelligent power control device and system of a heat storage equipment, comprising: a terminal for real-time sampling of a 1.3pu / 180ms level forward overvoltage pulse at a valve string terminal of a solid heat storage unit with a time resolution of less than 50ns and outputting a digital trigger flag; a pre-charged SiC-MOSFET active clamping unit is connected across each thyristor anode-cathode to form a dynamic energy bypass; when the voltage difference of any two adjacent thyristors exceeds a set threshold, the corresponding thyristor gate reverse bias charge is increased; when the grid scheduling instruction drops to zero power working condition, the minimum electrothermal-airflow coupling state of 1% rated power and 5% rated airflow is maintained to prevent the heat of the heat storage brick from conducting reversely to the Fe-Cr-Al electrothermal strip; the 1.8kHz harmonic current presents a trap impedance of 25Ω-0.6mH-15μF and the frequency harmonic amplitude is suppressed to be lower than 1% of the rated current. The application gets rid of the limitation of traditional fixed R-C network that can only slow voltage equalization, and realizes integrated protection of 1.3pu level impact.

The present application relates to the technical field of optimization scheduling, and more particularly to an optimization scheduling method and system considering global-local balance responsibility risk, the method steps comprising: analyzing the unbalance mechanism of micro-scheduling balance area; quantifying the unbalanced operation risk considering grid scheduling-actual output; establishing a risk coordination control model considering global balance responsibility and an economic scheduling model; and proposing an optimization scheduling model considering global-local balance responsibility risk. The present application solves the problem that the existing risk quantification evaluation only considers a single dimension, and lacks unified modeling and scheduling decision-making from the perspective of global-local balance responsibility of the system. The present application achieves the purpose of encouraging the subject to actively assume the system imbalance and obtaining the optimal risk and benefit level.

The present application relates to the technical field of micro-grid scheduling, and more particularly to a micro-grid energy scheduling method and system based on event triggering; in the process of constructing a graph structure when a graph neural network model is used to monitor micro-grid events, the correlation coefficients between variables are calculated, and when the working condition of the micro-grid changes, the correlation coefficients will also change, causing the correlation coefficients between the variables to change, and then the edge weights are updated; through this scheme, a dynamic graph structure can be generated, and the dynamic graph structure always strengthens the most critical variable coupling relationship; according to the dynamic graph structure, accurate monitoring of micro-grid events can be achieved.

The invention belongs to the technical field of micro-grid dispatching, and particularly relates to a micro-grid dispatching method and device, a computer readable storage medium and electronic equipment. The method comprises the following steps: acquiring day-ahead predicted power data and time-of-use electricity price of the micro-grid; performing day-ahead scheduling on the microgrid according to the day-ahead predicted power data and the time-of-use electricity price to obtain a day-ahead scheduling result; obtaining intra-day predicted power data of the micro-grid; according to the intra-day predicted power data, the day-ahead scheduling result and the time-of-use electricity price, performing intra-day scheduling on the micro-grid to obtain an intra-day scheduling result; wherein the intra-day scheduling energy storage charging and discharging power in the intra-day scheduling result is consistent with the day-ahead scheduling energy storage charging and discharging power in the day-ahead scheduling result; acquiring real-time power data of the micro-grid; according to the real-time power data and the intra-day scheduling result, performing real-time scheduling on the micro-grid to obtain a real-time scheduling result; wherein the target of real-time scheduling is to minimize the scheduling result deviation between the real-time scheduling result and the intra-day scheduling result.

This invention discloses a method and system for interactive control between a zero-carbon industrial park and a large power grid, relating to the fields of energy management and virtual power plant technology. The method includes: constructing an internal scheduling optimization objective function that minimizes the overall cost of the park by predicting load data for future periods; generating an internal self-balancing scheduling scheme based on scheduling constraints and load forecast data; obtaining market scheduling decision parameters based on power trading market signals and grid scheduling demands; determining the resource aggregation control boundary based on the internal self-balancing scheduling scheme of the park; generating a global interactive control command aimed at maximizing the park's full-cycle market revenue by combining the market scheduling decision parameters; and performing feedback correction of the global interactive control strategy and market transaction settlement based on the execution results of the global interactive control command. This improves the coordination efficiency between the industrial park and the large power grid, overcoming the problem of low coordination efficiency caused by limitations in the scheduling architecture and insufficient two-way security interaction in existing technologies.

This invention relates to a reliable assurance method and system for microgrid scheduling based on multi-agent collaborative auditing, belonging to the field of energy scheduling technology. It includes: responding to a preset energy scheduling signal; acquiring information of the designating agent and the auditing agent; extracting audit information from the auditing agent information; finding corresponding conversion rules by combining the audit information with the designating agent information; converting the audit information according to the conversion rules to obtain supplementary information for finalization; extracting design information from the designating agent information and combining it with the supplementary information to obtain final design information; controlling the designating agent corresponding to the designating agent information to formulate and filter energy scheduling schemes according to the final design information and preset scheme formulation rules, and outputting the scheme. This invention improves the efficiency and reliability of AI-driven energy scheduling.

This invention discloses a grid adaptive regulation method and system for a collaborative energy storage system, relating to the field of grid load regulation with output-coordinated energy storage. The method includes: obtaining the comprehensive output curve of distributed energy based on the current comprehensive output of distributed energy; correcting the comprehensive output curve based on the predicted output of distributed energy; calculating the output fitting error of distributed energy based on the corrected comprehensive output curve, and constructing a grid scheduling optimization model by integrating energy storage dispatch quantity and grid load characteristics; obtaining the target energy dispatch quantity based on the scheduling optimization model, and coordinating the target energy dispatch quantity and energy storage dispatch quantity for grid optimization regulation. This overcomes the problems of insufficient power supply and demand matching and limited charging and discharging adjustment in conventional generator power regulation methods and fixed charging and discharging strategies when dealing with complex real-time grid changes, resulting in low grid scheduling efficiency and poor performance, and improves the efficiency, accuracy, and reliability of grid adaptive regulation.