72results about How to "Supply and demand balance" patented technology

The invention discloses a Bayesian network-based regional heat supply model predictive control system and method. The method includes the following steps that: step S1, physical layer heat network data sensing is performed: historical data are acquired from a source side, a network side and a building side in real time and are updated; step S2, a Bayesian network is constructed according to the historical data and on the basis of prior knowledge, and the load demand of a thermal station and the building side are predicted through the Bayesian network; step S3, the real-time control parametersof a secondary side, a primary side and the source side are obtained through the inference of the Bayesian network according to the load demand of the building side and on the basis of the historicaloperation data and real-time data; and step S4, time characteristic curves of source side adjustment, network side adjustment and building side adjustment are established according to the historical operation data and pipe network topology structures, and source side adjustment, network side valve and building side electric valve adjustment strategies are determined, control operations are performed according to the strategies, so that the hysteresis of heat network adjustment can be eliminated, real-time supply and demand balance can be met, and the accurate on-demand heat supply of a heat user side can be realized.

A system for dynamically managing and controlling distributed energy resources in a transmission/distribution power grid is disclosed. A plurality of regions within a transmission/distribution power grid is autonomously managed using regional control modules. Each regional control module oversees the management and control of the transmission/distribution power grid and is further associated with a plurality of local control modules that interface with distributed energy resources within a region. Power production and power consumption are monitored and analyzed by the enterprise control module which, upon determining that power consumption within a region does not match power producing capability, dynamically reallocates distributed energy resources throughout the grid keeping the system balance.; Power flow at key nodes within the network are monitored and analyzed by the local control modules, regional control modules, and enterprise control modules with compensating actions taken in the event that system parameter risks violating safety, stability, or operational thresholds.

The present invention relates to a load-frequency control method of a multi-domain time-lag electric power system with high wind energy permeability. The method comprises the following steps: S1, establishing a time-lag electric power system with multiple domains, and establishing the mathematics model of each generation system; S2, establishing state models with uncertain items corresponding to each domain according to the mathematics model of a generator; S3, designing an integration type sliding mode surface [Sigma]I (t) according to the state models with uncertain items; S4, designing the sliding mode load frequency controller according to the integration type sliding mode surface [Sigma]I (t); and S5, taking a controller ui(t) obtained in the step S4 as a controlling instruction, and optimizing the load frequency offset of the electric system. Compared with the prior art, a wind driven generator participates the regulation of the system frequency to tightly cooperate the wind power generation with the traditional fire power generation, and the increment of the output power of each generator is evenly reduced to ensure the power supply and demand balance of each area and effectively reduce the frequency offset of each area.

The invention provides an automatic verification system and method for an electric energy meter. The system comprises a PLC (Programmable Logic Controller), a delivery roller transport line controlled by the PLC and used for delivering turnover boxes out of a storage, a return roller transport line for returning the turnover boxes to the storage, a single-layer turnover box cache line for transporting the turnover boxes, a turnover box stacking cache line for caching the turnover boxes, an electric energy meter recheck belt line for transporting unqualified electric energy meters; a metering tray transport line for transporting a metering tray, a feeding robot and a discharging robot for moving electric energy meters or turnover boxes, and a turnover box monitoring sensor connected with the PLC and arranged on the single-layer turnover box cache line. By adopting the caching mode of combining a single-layer turnover box cache area with a multi-layer turnover box stacking area and intelligently transporting the turnover boxes via roller lines, the task executed by each robot at the same moment is balanced, the action path of a single robot is simplified, and the operating efficiency of the feeding and discharging robots is greatly improved.

The invention which is suitable for the technical field of drying provides a fruit vacuum freeze drying method. The method comprises the following steps: prefreezing: refrigerating fruits to be dried; and carrying out five-stage drying under vacuum conditions. The fruit vacuum freeze drying method of the invention, which adopts a five-step gradient cooling mode of the heating temperature, allows heat required by water sublimation to be guaranteed, cooling to be timely, the basic balance of the heat supply and demand to maintained, the material dissolving caused by too fast heating to be prevented, and the water sublimation rate to be accelerated.

The invention discloses a system and a method for intelligent and progressive electricity utilization management based on an intelligent and progressive utilization management device. The system comprises a distribution room transformer (3), an intelligent and progressive electricity utilization management device (1), an intelligent and progressive electricity utilization control and management system (2), a controllable electricity utilization loading device (4) and a movable client (5), wherein the court transformer (3) and the controllable electricity utilization loading device (4) reach the intelligent and progressive electricity utilization control and management system (2) through the intelligent and progressive electricity utilization management device (1) via a wired communication network mode or a wireless communication network mode; the intelligent and progressive electricity utilization management device (1) realizes progressive management on electricity utilization equipment of users on the user side, and electricity utilization equipment can be regulated flexibly and automatically for progressive operation according to the court transformer load rate and the loading rate of the current power distribution network. According to the invention, the loading utilization ratio of power supply equipment is increased, grid running cost is reduced, grid construction investment is reduced, state grid investment scale is saved, and safe and reliable operation of a grid is ensured.

The present invention discloses an order allocation method and apparatus. The method comprises: receiving a first instruction that is sent by a customer service terminal and that is for allocating an unchecked order to the customer service terminal; according to the first instruction, determining an unchecked order to be allocated to the customer service terminal among unchecked orders; and sending a first instruction response message, which carries order information of the unchecked order, to the customer service terminal, so that a staff member who logs in to the customer service terminal determines whether the unchecked order meets a delivery condition according to the order information. By docking a transfer system of a third party platform with an online customer service system of a seller, an unchecked order of the seller is allocated by the transfer system of the third party platform to the online customer service system, and customer service staff login the online customer service system of the seller via a customer service account to check the unchecked order, thereby improving order checking efficiency, further meeting supply and demand balance of customers at the peak of the Internet ordering, and thus resulting in more profits for the third party platform and the seller.

The invention relates to a control method and system for secondary allocation of local power grid energy and power. The control system comprises a data service center, a simulation analysis center and an energy routing center. According to the method, a local power grid serves as the research object, scattered access to the power grid of renewable energy sources and user power utilization are taken into consideration, and the operation state of the power grid, the short-term power utilization plan of a user and the scattered power source short-term output are monitored dynamically. The simulation analysis center simulates the power grid operation state of the next control cycle according to the power utilization plan and the output prediction data, determines the loading vacancy or the electricity vacancy of the local power grid and uploads the power grid state and the relation between supply and demand to the energy routing center. The energy routing center conducts charging/discharging control on an energy storage system based on the current SOC of the energy storage system to form a new loading demand or electricity injection, coordinates the output and power utilization loading of a scattered power source, completes the secondary allocation of the energy and power and achieves complementation of multiple kinds of energy sources and new balance between supply and demand.

The invention discloses a scheduling optimization method of a multi-energy coupling comprehensive energy system. The scheduling optimization method comprises the following steps: S1, establishing models of renewable energy, energy coupling equipment and energy storage equipment; s2, establishing a day-ahead scheduling model; s3, substituting the prediction results of the electricity, cold, heat and gas loads in the future 24 hours into the model in the step S2, and performing solving the prediction results in a Cplex optimizer; s4, establishing an intra-day rolling optimization scheduling model; and S5, substituting the real-time electricity, cold, heat and gas loads into the model in the step S4, and performing solving in a Cplex optimizer. According to the scheduling optimization method,the accuracy of a result is improved by utilizing day-ahead intra-day multi-time-scale scheduling, so that the operation cost of the system is reduced, and the stable and economic operation of the system is ensured.

The invention discloses a die-casting machine asynchronous servo energy-saving control method. The method includes a speed control method of an oil pump motor and an advanced acceleration method of the oil pump motor. In the speed control method of the oil pump motor, the rotating speed N of the oil pump motor is equal to N rate *PQW, wherein the N rate is the rated rotating speed of the oil pump motor. PQW is a self-adaptation motor speed given instruction of the oil pump motor, PQW is equal to PQ+ PQ auxiliary, and the PQ auxiliary is a motor fine tuning speed given instruction. PQ is a motor preliminary speed given instruction, PQ is equal to K*Q+(1-K)*P or PQ is equal to MAX {Q, P}, wherein Q is a flow coefficient of a die casting machine, Q is larger than or equal to 0 and smaller than or equal to 1. P is a pressure coefficient of the die casting machine, and P is larger than or equal to 0 and smaller than or equal to 1. K is a weight coefficient, and K is larger than or equal to 0 and smaller than or equal to 1. In the advanced acceleration method of the oil pump motor, the self-adaptation advanced time instruction delta t of the oil pump motor is equal to T average-T advance, and T advance is smaller than or equal to T average. The T advance is the set pre-advanced time of the die casting machine, and the T average is the average value of mechanical action time differences of all working stages of the production period of the die casting machine.

The invention discloses a user side comprehensive energy system regulation and control method, which is characterized by comprising the following steps of dividing a regulation and control period intothe regulation and control time periods according to the user side load energy demands and a time sequence rule; calculating by adopting a fuzzy clustering algorithm based on the regulation and control time periods to obtain the energy consumption grades; and based on the regulation and control time periods and the energy consumption grades, combining with the energy value label sorting of the energy devices to perform regulation and control, so that different grading standards are set under different regulation and control scenes and different regulation and control time periods, the gradingregulation and control of the user-side comprehensive energy system are more reasonable and flexible, and the problem that the supply and demand balance of the energy generation and distribution cannot be achieved, is solved.

The invention discloses a hydrogen oil transportation system including a hydrogen production device, a hydrogenation device, a hydrogen oil storage station, a hydrogen oil filling station and a recovery oil storage station. The hydrogen oil storage station includes at least one hydrogen oil storage tank, and the recovery oil storage station includes at least one recovery oil storage tank; hydrogenoil in the hydrogen production device and the recovery oil storage station flows to the hydrogenation device, gaseous hydrogen is stored in organic liquid through a catalytic hydrogenation reaction,and the hydrogen oil is formed; the hydrogen oil flows from the hydrogenation device to the hydrogen oil storage station to be stored and then flows to the hydrogen oil filling station; hydrogen is separated from the organic liquid through a catalytic dehydrogenation reaction by means of the hydrogen oil filling station to be used in a manner of gaseous hydrogen; and dehydrogenated organic liquidflows to the recovery oil storage station as recovery oil and then flows from the recovery oil storage station to the hydrogenation device. Connection between hydrogen oil production and hydrogen oilrecovery is realized, balance between supply and demands is realized, and the energy loss of traditional on-board transportation is reduced.

The invention discloses a system and method for continuously and flexibly preparing methane through renewable energy sources. The system comprises a renewable energy power generation system, a liquid CO2 energy storage system and a methanation production system, wherein the renewable energy power generation system is connected with the liquid CO2 energy storage system and provides electric energy for the liquid CO2 energy storage system; the liquid CO2 energy storage system is connected with the methanation production system and provides CO2 for a methanation reaction; and electric energy required by the methanation production system is provided by the liquid CO2 energy storage system or power of a power grid. According to the system for preparing methane from renewable energy, the liquid CO2 energy storage system is coupled with the renewable energy power generation system, power is supplied to the methanation production system through the liquid CO2 energy storage system, stable and continuous power output can be provided for the methanation production system, fluctuation and intermittency of the renewable energy are avoided, stable and continuous operation of the methanation production system is realized, and power peak regulation of the power grid is also supported.

The invention provides a method for distributing electric energy among multiple microgrids. Each microgrid is a node allowed to be authorized on the network. Point-to-point direct energy electric quantity distribution can be carried out. Electric quantity distribution is issued by using an intelligent contract designed by Ethereum. Each microgrid participant calls the contract, participates in bidding, obtains an electric quantity distribution result and then performs settlement through the intelligent contract, i. I energy shortage still exists after electric quantity distribution is finished, the power distribution network performs supplementation, and electric quantity distribution settlement with the power distribution network is also completed through the intelligent contract. In theprocess, information of electric quantity distribution needs to be verified by each node in the network through a POW consensus mechanism, the information is recorded in a block chain after successfulverification, and rewards for generating blocks and commission charge rewards for electric quantity distribution are obtained by the node which completes verification firstly. Electric energy distribution and exchange between the micro-grids and between the micro-grids and the power distribution network can be realized, supply and demand balance is ensured, the income of the micro-grids is improved, and the distribution coefficient is recorded.

The invention discloses a special fertilizer for eggplants in the vegetative growth phase and the reproductive growth phase, and an application method of the special fertilizer. The special fertilizer is prepared from urea, diammonium phosphate, potassium nitrate, citric acid, boric acid, sodium molybdate, water and trace elements; the special fertilizer is divided into two types, namely, a vegetative growth phase special fertilizer and a reproductive growth phase special fertilizer, and the two types of special fertilizers for the two growth phases are both specially designed according to the nutrient demand laws of the eggplants and the soil nutrient characteristics. The application method includes the following steps: applying the vegetative growth phase special fertilizer three times before flowering in the seedling stage according to the physiological characteristics, fertilizer requirement features and growth conditions of the eggplant in different growth phases; applying the reproductive growth phase special fertilizer once respectively in the first fruit phase, opposite sides fruit phase and four sides fruit phase of the eggplants, and totally six times of fertilizing are performed during the whole growth period. The special fertilizer provided by the invention is scientific and reasonable in formula, and the contained macroelements, medium elements and microelements correspond to the demands of the eggplants in the vegetative growth phase and the reproductive growth phase, so that the supply and demand are balanced; the application method is scientific and reasonable and can increase the yield of the eggplants and improve the quality of the eggplants.

The invention discloses an optimal control system and an optimal control method for a ship power supply and steam supply linkage system by utilizing waste heat of a diesel generator. The control system comprises a sensor, a combined heat and power generation controller, and a power generation amount PID controller of a steam turbine generator. The combined heat and power generation controller obtains steam heat supply requirements and power utilization requirements of a whole ship through sensors, calculates fuel consumption of the diesel generator and a fuel boiler, sends out a fuel control signal, and sends out a set value signal to the power generation amount PID controller of the steam turbine generator at the same time, therefore, the operation conditions of equipment such as a marinediesel generator, a fuel boiler, a waste gas boiler and a steam turbine generator are controlled, and the whole-ship steam heat supply requirement and power utilization requirement are met. Comparedwith the prior art, the optimal control system and the optimal control method have the advantages that the total fuel cost or the total CO2 emission value can be controlled to be lowest under the condition that steam heat supply and power supply of the whole ship are met, so that the purposes of reducing the operation cost or saving energy and reducing emission are achieved.

The invention discloses an Internet of Things photovoltaic power generation control system and method based on GA-SVM modulation, and the method comprises the steps: carrying out the parameter setting of a first current modulation module, a second current modulation module, a PR controller and a notch filter, and receiving the voltage and current of a common point of a smart power grid, the three-phase current of an output end of an inverter, and the DC output voltage of a photovoltaic cell; acquiring and judging whether to generate a first reference current and/or a second reference current in real time, and determining one of the first current modulation module and the second current modulation module with the optimal response speed; if the response speed of the second current modulation module is optimal, corresponding switching is carried out, so that a connecting line between the second current modulation module and the SVM wave sending module is switched on, and voltage Va, Vb and V0 are obtained through conversion of second reference current; otherwise, converting the first reference current to obtain voltages Va, Vb and V0; and based on SVM wave generation, the inverter is controlled to work, the response speed is high, and the power generation efficiency is high.

The invention relates to an intelligent power grid load prediction method, which is technically characterized by comprising the following steps of: acquiring power load data of a park for 12 months ina year, and observing the trend of the power load data; proper training data is selected for training and prediction of the Newton interpolation model; predicting power load data of the missing monthby adopting a Newton interpolation method; correcting a Newton interpolation result by adopting an after-event error estimation method; and calculating a relative error between a final Newton interpolation result and a real value, thereby finishing intelligent power grid load prediction. The method is reasonable in design, can accurately predict the short-term power consumption load condition ofthe park, is simple and easy to implement, does not need to fit a specific function form, can perform prediction and obtain a better prediction effect only through several data points, and can providea reference basis for power grid dispatching formulation and power generation and supply plans.

The invention relates to the technical field of feeding device systems, and particularly relates to a beet breakage-proof balanced feeding device for sugar production. The beet breakage-proof balanced feeding device comprises a vegetable cellar, a side-turning unloading platform and a feeding mechanism, wherein the side-turning unloading platform is movably connected to the side part of the vegetable cellar; the feeding mechanism is arranged below the vegetable cellar; the vegetable cellar comprises at least two vegetable hoppers; adjusting opening and closing mechanisms are independently arranged at the lower end parts of the vegetable hoppers; the adjusting opening and closing mechanisms are arranged opposite to the feeding mechanism; the vegetable hoppers are provided with inclined side plates; the inclined side plates are arranged close to the side-turning unloading platform; and buffer plate bodies are arranged at the tops of the inclined side plates. The beet breakage-proof balanced feeding device is simple in structure, and can reduce beet damage to a great extent in the processes of storing and conveying beet, thereby preserving sugar and improving the sugar yield.