13 results about "Energy plan" patented technology

Apparatuses, methods, and systems for configuring a vehicle according to energy requirements of an energy supply (e.g., an electrical grid) are disclosed herein. The energy configuration system may determine an energy plan for the vehicle based on energy requirements associated with the power supply, where the vehicle is capable of distributing charge to the supply, the energy plan including a plan for distributing charge from the vehicle to the supply and / or for extracting charge from the supply. The energy configuration system may then generate movement instructions for the vehicle based on the energy plan.

The invention relates to the technical field of artificial intelligence, in particular to a distributed energy emergency scheduling method and system based on a smart grid, and the method comprises the steps: carrying out the operation and maintenance state recovery degree visualization operation of a pre-constructed regional basic network diagram according to an edge power diagnosis information set and an energy planning information set, and obtaining a basic recovery view; performing color feature extraction operation on the basic recovery view by using an emergency energy scheduling platform to obtain a regional color feature set; performing an energy scheduling operation based on a to-be-started facility set on the regional color feature set to obtain a first energy scheduling scheme; executing an emergency energy cluster according to the first energy scheduling scheme, and obtaining an updated basic recovery view; and performing an energy scheduling operation based on power sharing on the updated basic recovery view to obtain a second energy scheduling scheme, and performing power scheduling on the emergency energy cluster according to the second energy scheduling scheme. The power grid emergency repair efficiency can be improved, and the economic loss caused by power failure is reduced.

A method (100) for operating an industrial plant (1) that is configured to execute an industrial process using a plurality of interconnected process modules or other functional units (2a-2f), wherein at least one process module or other functional unit (2a-2f) is capable of performing its assigned role in the industrial process in different modes of operation (3a-3d) that have different energy consumptions, and wherein the method (100) comprises the steps of: - obtaining (110) energy information (4) that is indicative of the availability, and / or of the cost, of energy required for the operation of at least one process module or other functional unit (2a-2f); - obtaining (120), for at least one chosen process module or other functional unit (2*, 2a-2f), a candidate mode of operation (5) that is desirable from the point of view of this process module or other functional unit (2*, 2a-2f) with respect to energy consumption; - determining (130) whether operation of the chosen process module or other functional unit (2a-2f) if this candidate mode of operation (5) is compatible with the intended operation of one or more further process modules or other functional units (2a-2f) that are connected to the chosen process module (2*, 2a-2f); and - if this is the case, authorizing (140), in an energy plan (1a) for operating the industrial plant (1), operation of the chosen process module or other functional unit (2*, 2a-2f) in the candidate mode of operation (5).

1. The name of this design product: Amusement equipment (energy plan). 2. Purpose of this design product: This design product is used for children's amusement equipment. 3. The key design point of this design product lies in the combination of shape and pattern. 4. The picture or photo that best illustrates the design points: a three-dimensional diagram of the combined state. 5. The bottom surface of this design product is a part that is difficult to see or cannot be seen during use, so the bottom view of component 1 and the bottom view of component 2 are omitted. 6. Other situations that need explanation Other explanations: Component 1 of this design product is the station of the amusement equipment, component 2 is the track car of the amusement equipment, and point A in the three-dimensional diagram of component 1 is made of transparent material.

The invention discloses an energy management system of multi-energy complementary smart energy based on source network load storage, which relates to the technical field of energy scheduling management and comprises an intelligent sensing unit, an intelligent control unit and a data management unit. According to the invention, energy supply data of an energy source system and various energy control systems in a park and an enterprise are obtained through an intelligent sensing unit, and energy medium production, consumption and cost data are collected in real time, so that an energy plan scheduling scheme is obtained; the system is used for realizing digitization, informatization, visualization, predication and intelligentization of the whole process of enterprise energy supply, production, conveying, conversion and consumption, realizing energy management of whole-plant energy data acquisition full coverage and enterprise main energy consumption system analysis, optimization and auxiliary decision making, improving enterprise energy utilization efficiency and improving enterprise energy utilization efficiency. The enterprise energy efficiency maximization, the energy efficiency online optimization and the important information online pushing can be realized, and the goals of energy conservation, emission reduction, cost reduction, efficiency improvement and management and control level improvement are realized.

The present invention comprises: a communication unit that communicates with a host system that creates a regional energy plan; a target setting unit that sets a target value for creating balancing power for a target consumer site; a prediction unit that predicts future electric power demand; a boundary-condition-setting unit that sets a boundary condition for demand control from load facility specifications; an operation plan creation unit that creates a demand control plan for the load facilities from the target value for balancing power, the future electric power demand prediction, and the boundary condition for demand control; and an input / output unit. The regional energy plan is created or corrected by the host system on the basis of whether the demand control plan can be executed.

This invention discloses a method and apparatus for adjusting intraday household energy dispatching plans based on load correction. The steps are as follows: The day-ahead equipment operation sequence scheduling plan is input into a user-intervention-based load correction mechanism to obtain a user-modified equipment operation sequence scheduling plan; the day-ahead photovoltaic usage plan, day-ahead energy storage charging and discharging plan, day-ahead user electricity purchase plan, and the user-modified equipment operation sequence scheduling plan are input into an intraday rolling optimization model, and intraday photovoltaic usage plan, intraday energy storage charging and discharging plan, and intraday user electricity purchase plan are obtained after rolling optimization. The load correction mechanism parses user instructions and updates equipment operation plans and corrects power curves; the intraday rolling optimization model uses a multi-objective particle swarm optimization algorithm to solve the rolling optimization logic. This invention effectively solves the problem of mismatch between dispatching plans and actual operating conditions, significantly improving the practicality, rationality, and stability of household energy dispatching.

The invention discloses a multivariate energy storage scheduling method and equipment considering an equivalent peak-valley difference, and belongs to the technical field of power system operation and control. A microgrid net load time sequence is obtained, a scale coefficient is constructed based on the ratio of the rated power of a rapid energy storage unit to the historical peak net load, and a target quantile is determined through a piecewise linear function; an equivalent peak-valley difference is defined, and a peak, valley and climbing section criterion is given; on the basis, a rapid energy storage unit and an energy type energy storage unit are distinguished, the rule of first rapid and then slow and first power and then energy is adopted, peak clipping is preferentially carried out in a peak section, charging is preferentially carried out in a valley section, and the power change rate is limited in a climbing section. The power and energy plan of each energy storage unit is generated hour by hour in combination with constraints such as power upper limit, energy state, round-trip efficiency and charge and discharge mutual exclusion, statistical peak load shifting and climbing suppression without complex optimization modeling is realized, and the engineering applicability of multi-element energy storage cooperative operation is improved.

The invention relates to the technical field of industrial process control, in particular to a crust breaking and blanking control method and system based on intelligent diagnosis. The method comprises the following steps: intelligently evaluating the state of an electrolytic cell shell by collecting multi-mode historical and real-time data on line, and generating a safe and controllable crust breaking operation plan; accurate identification of the fire hole break-through state is realized through low-energy microprobe tentative and multi-mode signal fusion judgment; constructing a layered energy plan matrix according to a judgment result, executing self-adaptive crust breaking in a monopulse closed-loop regulation and control mode, monitoring adhesion and abnormal risks in real time in the process, and triggering anti-adhesion and safety protection measures; and in a blanking link, a blanking safety closed loop is realized through a multi-channel quality monitoring and exception isolation mechanism, and full-process data is archived for model optimization and strategy updating. According to the invention, a complete intelligent control system from intelligent diagnosis and adaptive execution to safe closed loop and continuous learning is formed.

A smart energy platform for controlling energy consumption at a property, the smart energy platform configured to: (i) receive an input from a user associated with the property indicating a maximum comfort temperature and a minimum comfort temperature of the property; (ii) receive property data; (iii) retrieve weather data; (iv) determine property usage; (v) receive energy pricing data from an energy company; (vi) build a model based upon the input from the user, the property data, the weather data, and the property usage; (vii) input the energy pricing data and the weather data into the model; (viii) output an energy schedule for the property to maintain a temperature of the property within the maximum comfort temperature and the minimum comfort temperature at a minimum cost to the user; and / or (ix) control the temperature of the property based upon the energy schedule for the property.

The present application relates to the technical field of smart home, and discloses a water heater control method, device and equipment based on home energy and a storage medium, comprising: obtaining historical power data of a target family in a first time period, weather data in the first time period and weather prediction data for the next day; calculating the hourly residual power of each hour in the first time period based on the historical power data in the first time period; calculating the hourly predicted residual power for the next day; calculating the predicted power maximum value, determining the predicted power maximum time period corresponding to the predicted power maximum value; calculating the maximum water heating power required by the water heater of the target family, and determining whether to execute an energy plan based on the maximum water heating power required and the predicted power maximum value; and when it is determined to execute the energy plan, controlling the water heater to heat water in the predicted power maximum time period, thereby avoiding additional power purchase, further saving energy and power purchase cost, and reducing the use cost of the smart home.

A method is provided for determining a supply status of a fuel supply system for delivering fuel to a power generator. The method includes generating an energy plan for the power generator based at least in part on a supply status of fuel in the fuel supply system, and selectively adjusting an operating parameter of the fuel supply system based at least in part on the energy plan is disclosed. The power generator and the fuel supply system can store a cryogenic fuel and to handle gasified fuel obtained therefrom. A method and a system for a vehicle having a power generator and a fuel supply system are also disclosed.

The application relates to the technical field of artificial intelligence, and relates to a distributed energy emergency dispatching method and system based on a smart power grid, which comprises the following steps: according to an edge power diagnosis information set and an energy planning information set, performing operation and maintenance state recovery degree visualization operation on a pre-constructed regional basic network graph to obtain a basic recovery view; using an emergency energy dispatching platform, performing color feature extraction operation on the basic recovery view to obtain a regional color feature set; performing energy regulation operation on the regional color feature set based on a to-be-started facility set to obtain a first energy dispatching scheme; executing an emergency energy cluster according to the first energy dispatching scheme to obtain an updated basic recovery view; performing energy regulation operation on the updated basic recovery view based on power sharing to obtain a second energy dispatching scheme, and performing power dispatching on the emergency energy cluster according to the second energy dispatching scheme. The application can improve power grid repair efficiency and reduce economic losses caused by power outages.