56results about How to "Reduce electricity bills" patented technology

The invention discloses a smart home energy management optimization method in an Internet of Things environment. According to the method, the Internet of Things technology is utilized, intelligent identification and classified management are carried out on equipment, multiple energy management strategies are preset, and a user can conveniently and autonomously adjust; energy data is monitored in real time through a sensor and an intelligent electric meter, an energy consumption rule is mined by using a big data analysis technology, and a demand trend is predicted; constructing an intelligent energy dispatching center, and formulating a dynamic energy distribution scheme by using an optimization algorithm; a mobile phone application and an intelligent control panel are developed, and a user is supported to check data, control equipment and carry out personalized customization; and meanwhile, equipment firmware upgrading and remote management are realized. According to the invention, energy consumption can be reduced, cost can be controlled, equipment collaboration and energy distribution efficiency can be improved, user experience can be enhanced, system maintenance and upgrading are facilitated, and intelligent household energy management is more efficient, intelligent and flexible so as to adapt to diversified household requirements.

The invention discloses an air source heat pump intelligent regulation and control method based on cost benefit analysis, and relates to the technical field of air source heat pumps, and the method comprises the following steps: collecting operation data by using an air source heat pump and monitoring equipment, and establishing a characteristic parameter set which comprises an environment heat demand characteristic, a time-of-use electricity price time sequence characteristic and a heat pump operation efficiency characteristic; based on the characteristic parameter set, a multi-level decision-making model is established with the purpose of minimizing the energy cost, and the output strategy of the air source heat pump is determined; and on the basis of the multi-level decision model, constraint conditions are set, an adjusting strategy of the air source heat pump is determined, and operation parameters of the air source heat pump are regulated and controlled in real time according to the adjusting strategy. According to the method, the time period with high efficiency can be recognized and utilized for heat energy supply, meanwhile, the energy storage characteristic of the building is considered, output is increased for energy storage in the electricity price valley period, output is reduced in the peak period, stored heat is utilized for heat supply, and the economical efficiency of the air source heat pump is improved.

The invention relates to the technical field of power grid interaction, in particular to a two-way energy control method and intelligent equipment, and aims to solve the problem of how to perform charging and discharging control on two-way energy equipment according to power grid load information and peak and valley electricity prices on the basis of an optimal cost principle. The method comprises the steps that the initial electric quantity of an energy storage module is acquired; acquiring historical electrical load information of a set time period; and predicting a power control curve of a set time period according to the initial electric quantity, the historical electric load information and the expected electric quantity based on a cost optimal principle. On the basis of the predicted power control curve, charging and discharging control is performed on the energy storage module through the bidirectional energy equipment, so that the stability of the power grid can be enhanced, the power supply condition of the power grid can be optimized, the electric charge expenditure of the user can be reduced, the user experience can be improved, income can be brought to the user, and the return on investment of the user can be improved. And by adopting a dynamic programming algorithm, the operation speed is improved, and engineering realization is more convenient.

The invention relates to the technical field of sensing data analysis, in particular to a situation sensing method and system based on an intelligent fan. The method comprises the following steps: obtaining human shape position change data of an intelligent fan user and human shape motion posture change data of the intelligent fan user, carrying out human shape motion interframe change identification analysis and Kalman filtering human shape tracking, and carrying out human shape motion range analysis at the same time; the dynamic change range of the human shape motion of the intelligent fan user is obtained; the intelligent sensing range of the intelligent fan is obtained, situation awareness cross judgment is carried out on the human shape motion dynamic change range of an intelligent fan user, and when it is determined that the intelligent fan user is in a close or away sensing state, a wind speed acceleration or deceleration control instruction is generated through response of the intelligent fan and acts on a built-in control system of the intelligent fan. The corresponding intelligent fan air speed automatic acceleration or deceleration work is executed; the method can focus on recognition and tracking of the whole human shape, and aims at optimizing the sensing state of the intelligent fan.

The invention discloses a flexible load distribution and power supply optimization method and system, and relates to the technical field of electric power, and the method comprises the steps: collecting a load demand in an electricity utilization environment and the power supply capability of power supply equipment; carrying out first classification, and dividing the load into a multi-stage load set; based on the load demand and the power supply capability of the power supply equipment, solving a load distribution problem by using a dynamic programming algorithm; monitoring the operation state of a power utilization environment in real time, and adjusting a power supply strategy through a genetic algorithm; according to the invention, efficient matching of the load and the power supply resource is realized, the electric energy utilization rate and the power supply stability are remarkably improved, the energy waste and the unit power supply cost are reduced, the method is suitable for various complex power utilization environments, and the power supply mode is more intelligent and diversified.

The invention relates to the technical field of energy storage control, in particular to a new energy power generation and energy storage control system. The energy storage unit is used for storing electric energy; the energy control unit is used for monitoring the state of the energy storage unit and providing battery equalization and over-charge and over-discharge prevention functions; the energy conversion unit converts the direct current output by the energy control unit into alternating current through a PWM (Pulse Width Modulation) method; the energy management unit is used for predicting energy production and consumption and optimizing energy storage and electric energy release strategies through a linear programming optimization algorithm. According to the design of the invention, direct current and alternating current in various energy forms such as solar energy and wind energy are integrated, and long-term stable operation of the battery pack is ensured by using an efficient battery equalization method and an over-charge and over-discharge prevention protection mechanism. In addition, direct current is converted into high-quality alternating current by adopting a PWM (Pulse Width Modulation) method, so that the system can be more effectively compatible with a power grid, and the energy utilization rate of the whole system is improved.

The invention provides a water plant raw water and clear water lifting pump station joint optimization energy-saving dispatching method and system for solving the problems that traditional pump station dispatching depends on artificial experience, global optimization is lacked, and energy waste is serious. Comprising the steps that a flow-lift and flow-efficiency relation model is established, and a variable frequency pump deduces a performance formula under any frequency based on the similarity law; in the first-stage optimization scheduling, the optimal flow of a water intake pumping station and the optimal water storage level of a clean water tank in each time period are determined by adopting a dynamic programming algorithm and taking the minimum total work of the system as a target, and the conditions of flow balance, water level constraint and the like are met; and in the second-stage optimization scheduling, the genetic algorithm is adopted to optimize the combination and operation frequency of the water pumps in each time period by taking the minimum total power of the pump set as a target, and a flow and lift deviation penalty term is introduced. According to the method, water taking, water storage and water supply whole-process collaborative optimization is achieved, the energy saving rate exceeds 10%, the operation cost is reduced, the method adapts to dynamic changes of the water source tide level and the water demand, and the dispatching intelligent level is improved.

The invention discloses a cost optimization method, a cargo loading method and device and a cloud control center of a mine charging and battery swapping station. The optimization method comprises the following steps: firstly, obtaining a peak-valley-flat time period in the time-of-use electricity price of a power grid; then, judging whether the current actual time falls into the power utilization peak time period in the power grid peak-valley-flat time period or not: if the current time is not in the power utilization peak time period, directly charging a non-fully-charged preparation battery of the mine charging and battery swapping station; if the current time is in the power utilization peak period, determining whether to charge the non-fully-charged preparation batteries in the mine charging and battery swap station according to the relationship between the number of the non-fully-charged preparation batteries of the mine charging and battery swap station and the number of the low-electric-quantity mine cards; the low-electric-quantity mine cards refer to mine cards of which the residual electric quantity is lower than a second threshold value of battery charging and replacing. Through the method, the charging strategy can be flexibly adjusted, the electric power cost is effectively reduced, the economic benefit of mine operation is improved, and meanwhile reasonable utilization of resources and improvement of the operation efficiency are promoted.

The invention belongs to the technical field of tunnel construction, and particularly relates to tunnel new energy operation equipment and an energy consumption control method thereof.The tunnel new energy operation equipment comprises a crawler chassis, the crawler chassis is driven by a motor, an electric telescopic arm is fixedly installed on the surface of the crawler chassis, and an external cable is slidably connected to the inner wall of the electric telescopic arm; the external cable is used for being connected with a power grid to provide electric energy for operation equipment. According to the tunnel new energy operation equipment and the energy consumption control method thereof, by arranging the energy storage driving control mechanism and the rotary conductive mechanism, seamless switching and 360-degree continuous rotation operation of the equipment in a power grid direct supply mode and a battery power supply mode are achieved when the equipment is used, and waste gas pollution in a tunnel is fundamentally eliminated. The system has the characteristics of zero emission, low noise and high energy utilization rate, the direct electric charge and ventilation energy consumption are remarkably reduced, the comprehensive energy consumption is reduced, and a brand new green and efficient equipment solution is provided for tunnel construction.

The invention relates to the technical field of industrial production, particularly discloses an energy management optimization method and system based on a digital workshop, and aims to solve the problems of limited energy consumption data processing capability, single energy consumption optimization strategy, lack of effective feedback mechanism and the like in the prior art. The method comprises the following steps: collecting current and voltage data of equipment in real time, and processing to obtain an instantaneous energy consumption value of the equipment; drawing an actual curve graph of energy consumption changing along with time based on the energy consumption value, and generating an energy consumption abnormal signal through analysis; determining the operation load of the equipment according to the energy consumption abnormal signal, and generating an operation load abnormal signal; further analyzing the relationship between the energy consumption and the operation load to obtain a target operation load; finally, the target rotating speed of the equipment is calculated according to the target operation load, and the rotating speed of the equipment is regulated and controlled, effective monitoring and optimal management of the energy consumption of the equipment in the workshop can be achieved, and improvement of the overall production efficiency and the energy-saving and emission-reducing effects is facilitated.

The application discloses a cement raw material mill equipment production scheduling optimization method, and steps include: using the historical mill time and power data of the raw material mill in the database, the working conditions of the raw material mill are divided into three kinds of working conditions through the clustering analysis method, and the maximum and minimum values of the corresponding mill time are found out from each kind of working condition; the first linear programming is used to plan the running time of the raw material mill; if the result shows that the ending time point of the current time and the starting time point of the next time interval are not more than the set value, the production scheduling task of the next time interval is migrated to the current time interval; the second linear programming is used to plan and arrange the mill time in the running time interval; the starting and ending time points of each time interval running time interval and the running mill time of each time interval are obtained; and the application can maximize the economic benefits of enterprises, limit the frequency of starting and stopping machines and reduce the equipment wear under the premise of meeting the total output.

The invention discloses a device for realizing self-service pickup at an express collection point, which comprises a cabinet body, a baffle plate is fixedly connected to the top of the cabinet body, a solar panel is fixedly connected to the top of the baffle plate, a dustproof filter screen is fixedly connected to the back of the cabinet body, and a moisture-proof structure is fixedly connected to the interior of the cabinet body. Large fan blades are fixedly connected to the interior of the back face of the cabinet body, and a damp-proof chamber is formed in the cabinet body. According to the self-service express pick-up device for the express collection site, an automatic door closing structure is arranged, system instability caused by long-time opening of a cabinet door can be avoided, normal operation of the self-service express pick-up device is guaranteed, an air guide plate is arranged in the express storage cabinet body, the air guide plate is arranged to be in an arc shape, and therefore the express storage cabinet body is more convenient to use. Therefore, the contact area between the air and the double-layer wall surface can be increased, the contact time between the air and the double-layer wall surface can be prolonged, and enough space and time for heat exchange in the flowing process of the air are ensured.

The application discloses a user-side source network load storage collaborative regulation method and system, takes net load, real-time electricity price and storage state of charge as input, realizes power distribution of distributed power supply, storage and power grid through four preset collaborative modes: when real-time electricity price is higher than high price threshold, storage discharges to cut peak; when real-time electricity price is lower than low price threshold, storage charges from power grid; when distributed power supply has surplus power, the surplus power is preferentially charged into storage; after storage is fully charged, surplus power is fed into power grid or abandoned. The application takes demand constraint as a priority, takes electricity meter electricity charge optimization as a secondary target, does not need load prediction, does not need to depend on external peak-valley time period table, and can be operated in a user-side local closed loop only by relying on real-time data, and simultaneously reduces user basic electricity charge and electricity meter electricity charge.

The utility model provides an energy storage device which comprises an inverter and a battery module composed of a plurality of battery boxes, and the battery module is located below the inverter. Wherein the inverter is in direct-current cable connection with one battery box in the battery module, so that the inverter and the corresponding battery box form direct-current side connection electrification; in the battery module, the battery boxes are in direct-current cable connection through the battery box direct-current power source positive electrode and the battery box direct-current power source negative electrode, so that the battery boxes in the battery module form current parallel connection, and the battery capacity of the energy storage device is expanded. According to the utility model, the characteristics of user energy storage products can be fully utilized, and the low-voltage off-grid integrated household energy storage device can be rapidly formed through the structural design scheme of modular design and stacked installation. The energy storage device provided by the utility model can improve the degree of self-generation and self-use of household photovoltaic power, reduce the electric charge expenditure of users, and ensure the stability of power utilization of the users under the conditions of extreme weather and the like.

The invention discloses a method for controlling off-peak power generation through linkage of three gas cabinets. A blast furnace gas cabinet, a first converter cabinet and a second converter cabinet operate in a grid-connected mode. In the electricity price valley period, the supply amount of blast furnace gas and converter gas is increased, the blast furnace gas usage amount of a gas generator set is reduced, outsourcing low-price electricity is increased, and meanwhile surplus blast furnace gas and converter gas are stored; and in the electricity price peak period, the supply amount of blast furnace gas and converter gas is reduced, the blast furnace gas usage amount of the gas generator set is increased, the external electricity purchase amount is increased, and the stored gas is increased and conveyed to the gas generator set for consumption so as to reduce the cabinet capacity. In the electricity price valley period and the electricity price peak period, coal gas is allocated through linkage among the blast furnace gas cabinet, the first converter cabinet, the second converter cabinet, the gas generator set and the production user, peak shifting power generation is achieved based on the change of the cabinet capacity, the electric energy time value is fully excavated, and the coal gas power generation benefit is improved.

The embodiment of the invention discloses a cabin car infotainment electricity supplementing control method and device, computer equipment and a storage medium. The method comprises the steps that according to car infotainment state information obtained by a car infotainment controller, the starting state of a car infotainment is judged; if the vehicle-mounted terminal is in the shutdown state, performing power supply control on the vehicle-mounted terminal according to a preset first power supply strategy; the first charging strategy comprises the step of judging whether the vehicle-mounted terminal meets a preset awakening condition or not; if the vehicle-mounted terminal meets the awakening condition, awakening a controller local area network connected with the vehicle-mounted terminal; according to the vehicle machine state information, judging whether the vehicle machine meets a preset upper high voltage condition or not; if the vehicle machine meets the high-voltage condition, generating a high-voltage request signal; and the vehicle-mounted battery performs high-voltage charging work on the vehicle machine according to the received high-voltage charging request signal. According to the method, under the condition that the vehicle is not used for a long time, it can be ensured that the vehicle machine is automatically charged when needed, over-discharge of the battery is prevented, and therefore the performance and the service life of the vehicle-mounted battery are protected.

The invention provides a water pump operation control method and system, an air conditioner water pump and an air conditioning unit. The water pump operation control method comprises the steps that when the water pump starts to be in an operation stopping state, the minimum value of the operation interval duration of the water pump is obtained, and timing is started; when the timing time reaches the minimum value, obtaining and identifying current electricity price information sent by the power grid; and adaptively adjusting the operation interval duration of the water pump according to the current electricity price information. According to the water pump operation control method, the technical problem that in the prior art, in the transition season or under the condition that the unit does not operate for a long time, dynamic changes of electricity price signals are not fully considered when the water system air conditioning unit starts the water pump regularly, and operation cost is possibly increased is effectively solved.

The utility model discloses a kind of integrated monitoring system of sewer network inspection well, including first wireless data transmission module, first wireless data transmission module is electrically connected with liquid level sensor, flow sensor, water quality sensor and inspection well cover displacement monitoring sensor, first wireless data transmission module is connected with second wireless data transmission module by wireless communication protocol, second wireless data transmission module is connected with server by collector, server is connected with display screen.The utility model sets up inspection well cover displacement monitoring sensor, when inspection well cover appears displacement or the condition of lifting, will lead to the pressure data monitored by at least part pressure sensor change, by the terminal equipment comprehensive analysis of remote inspection well cover corresponding multiple pressure sensor monitored pressure data, can judge whether the displacement or lifting condition of inspection well cover appears, to be able to avoid traffic accident caused by inspection well cover anomaly in time.

The utility model discloses a ceramic tile plate drying machine for ceramic tile production, and relates to the technical field of drying machines. The ceramic tile plate drying machine for ceramic tile production comprises a box body, a circulating mechanism and a waste heat recovery mechanism, the waste heat recovery mechanism comprises a mounting box, coiled heat exchange rows are installed in the mounting box at equal intervals, a water inlet box is fixedly installed at one ends of the heat exchange rows, a servo motor is fixedly installed on one side of the water inlet box, and a valve plate is fixedly installed at the output end of the servo motor. Air entering the air inlet box can drive the baffle to rotate, the number of rotation turns of the baffle is detected in real time through power-on operation of the encoder, the real-time air flow can be obtained, then the servo motor is controlled through the wire to be powered on and operate to drive the valve plate to rotate, and an external water source can enter the heat exchange row through the rotating valve plate; and hot air in the mounting box can exchange temperature with a water source through the heat exchange row, so that the function of stably supplying heat by utilizing waste heat is realized.

The intelligent energy storage control system comprises an energy storage battery pack, a battery management module, a background control module, an intelligent analysis module, an electric appliance module and a safety module, the energy storage battery module is used for realizing mutual conversion between electric energy and chemical energy, monitoring the temperature and humidity of a battery pack, and sending battery data to the intelligent analysis module; the battery management module is used for regulating and controlling the voltage, the current and the charge-discharge rate of the energy storage battery pack; the background control module is used for regulating and controlling the analyzed electric energy storage data and distributing the processed data to the safety module and the electric appliance module; the electric appliance module is used for controlling current and voltage among electric appliances; the power equipment is utilized more effectively, the power utilization cost is reduced, and the application of renewable energy sources can be promoted.

The utility model discloses a kind of push-pull windows with heat insulation function, it is related to push-pull window technical field, including fixed window frame and heat insulation component, the fixed window frame is integrated structure, and the inside surface slidingly connected with sash window frame in fixed window frame, the heat insulation component is set to sash window frame surface, and heat insulation component includes first fixed groove, second fixed groove, nylon sealing gasket, polyurethane filler, hollow glass, nano ceramic heat insulation film, Low-E coated glass and scratch-proof film, the first fixed groove is opened in the inside surface inner end of sash window frame, and the second fixed groove is opened in the inside surface outer end of sash window frame. The push-pull window with heat insulation function, by heat insulation component, so that the device can greatly enhance the heat insulation performance of push-pull window whole, can significantly reduce indoor and outdoor heat exchange, reduce air conditioning or heating energy consumption, save electricity expense, by movable assembly, so that the device can reduce the friction of slide rail, reduce slide rail abrasion, to prolong its service time.

The invention discloses a photovoltaic power generation device and a photovoltaic system, and relates to the technical field of photovoltaic power generation, the photovoltaic power generation device comprises a photovoltaic power generation device main body of a rectangular frame structure, and the outer wall of one side of the photovoltaic power generation device main body is provided with a photovoltaic assembly used for directly converting solar energy into electric energy. An inverter for converting direct-current electric energy generated by the photovoltaic power generation device body into alternating-current electric energy is arranged on the outer wall of the top end of one side of the photovoltaic power generation device body, a cold cleaning mechanism is arranged on the side, close to the photovoltaic assembly, of the photovoltaic power generation device body, and an irrigation mechanism is arranged on the side, away from the photovoltaic assembly, of the photovoltaic power generation device body; shading mechanisms are arranged on the two sides of the photovoltaic module, an active inserting mechanism is arranged on the rear side of the orientation frame, a water storage tank, a guide pipe, a wiping plate and a rotating rod are matched with one another, a cold cleaning mechanism can effectively remove dust, dirt and other impurities accumulated on the plate face, and therefore the clean state of the plate face is kept.

The utility model belongs to air conditioning technical field relates to a kind of direct current air conditioner, including outdoor unit and control box, the outdoor unit is equipped with first direct current brushless motor, the control box is equipped with second direct current brushless motor and third direct current brushless motor, the first direct current brushless motor is equipped with first driving device, the second direct current brushless motor is equipped with second driving device, the third direct current brushless motor is equipped with third driving device, the outdoor unit, the first direct current brushless motor, the control box, the second direct current brushless motor, the third direct current brushless motor, the first driving device, the second driving device and the third driving device are connected by electricity. Air conditioner compressor motor, outdoor fan motor and indoor fan motor are all replaced with direct current brushless motor, and corresponding driving device is matched for it, so that the use of air conditioner is more reliable, and hardware conditions are provided for intelligent management of next step air conditioner, which can be generally applicable to railway locomotive field etc.

The invention discloses a control method of an intelligent electric fan based on X-band radar induction, and relates to the technical field of electric fan equipment. The intelligent electric fan comprises an electric fan body and an X-band radar sensor, the electric fan body is provided with a controller, the controller is connected with the X-band radar sensor, and the X-band radar sensor transmits collected data to the controller; the controller judges whether the human body gets close or moves or not according to the received radar signals, and the original gear of the electric fan is adjusted according to the movement change. The position and movement of the human body are accurately sensed through the X-band radar sensor, image information of a user does not need to be collected, the privacy of the user is protected, the wind speed can be automatically adjusted according to the position and movement changes of the user, the energy-saving effect is achieved while the use requirement of the user is met, and the use experience of the user is improved.

The invention provides a distributed energy storage device and an energy storage system. The distributed energy storage device and the distributed energy storage system comprise an energy storage unit used for storing energy; the power conversion unit is used for converting the direct current of the energy storage unit into alternating current; the controller is used for controlling the charging and discharging process of the energy storage unit; and the communication module is used for communicating with an energy storage system. The distributed energy storage device and the distributed energy storage system provided by the invention have the advantages that the use is convenient, and the artificial intelligence of the energy management system is realized through the steps of data preprocessing, feature engineering, model selection, model training and optimization, model verification and testing, model deployment and updating and the like.

The present application relates to the field of refrigeration technology, and provides a control method and system for cooling oxidation tank by using low-valley electricity price, which comprises the following steps: starting a refrigeration device at a preset low-valley electricity price period of power grid, adjusting refrigeration power of the refrigeration device according to temperature deviation of cold storage medium, and cooling the cold storage medium in the energy storage pool; in response to a cooling instruction of the oxidation tank, the cold storage medium in the energy storage pool exchanges heat with the oxidation tank through a circulating cooling pipeline, and the medium flow of the circulating cooling pipeline is adjusted according to temperature deviation of tank liquid of the oxidation tank, so as to continuously cool the oxidation tank. The present application can transfer the refrigeration electricity load from the peak electricity price period to the low-valley electricity price period, so as to fully utilize the difference between peak and valley electricity prices to reduce electricity cost, and effectively reduce the refrigeration operation cost of surface treatment production.

The present invention provides a user-side energy storage capacity configuration method based on a particle swarm algorithm, which belongs to the technical field of new energy access to the Internet, constructs an objective function; defines constraints based on power balance conditions and energy storage charging and discharging conditions; obtains and inputs known parameter values, and uses a particle swarm algorithm to optimize and iterate the optimal solution composed of unknown parameters, and calculates the optimal solution and objective function value; changes the configured maximum energy storage discharge power and maximum energy storage charging power according to a preset step size, and iteratively optimizes the unknown parameters again, and calculates the optimal solution and objective function value; compares all the obtained objective function values, obtains the maximum value, and outputs the corresponding optimal solution energy storage maximum charging and discharging power. The present invention solves the problem that the excess photovoltaic power generation cannot be absorbed in the self-generation and self-use mode and the surplus power access to the Internet, and can improve energy utilization efficiency.

The invention discloses a battery charging and discharging method and system suitable for a lamp. The method comprises the steps that the geographic position of the lamp and electricity price information are acquired according to longitude and latitude; a target electricity price time period is predicted through the day-ahead electricity price of the place where the lamp is located, whether the current lamp is in the target electricity price time period or not is judged, and a corresponding charging and discharging strategy is executed, and the target electricity price time period is the current day lowest electricity price time period; according to the real-time electricity price and the actual use condition of the lamp, the strategy of mains supply and battery discharging is dynamically adjusted to optimize the charging and discharging strategy; the maximum energy storage threshold value of the battery and the remaining capacity of the battery are obtained, the required charging amount is calculated, the charging duration is calculated according to the required charging amount, and charging is carried out according to the charging duration matched with the target electricity price period, so that the problems of short supply of power in the peak power consumption period and great surplus of power in the valley power consumption period are solved; the time period with the lowest electricity price is intelligently selected for commercial power supply or charging, and the electricity utilization cost is reduced.

The application relates to a household energy management method and system based on fusion of action mask deep reinforcement learning, and belongs to the field of household energy intelligent management. The method comprises the following steps: collecting environment parameters of a household energy system, and constructing a mathematical model of the household energy system; based on a household energy scheduling problem, a household energy management Markov decision process based on time sequence feature perception and a safe action mask is constructed; an improved DQN network fusing a double-channel time sequence prediction module is constructed and trained; based on real environment parameters of a to-be-tested day, the improved DQN network after training is adopted to output a final household energy system optimization scheduling result. Under the premise of strictly guaranteeing the system physical safety boundary and user comfort (including indoor temperature control and on-time completion of a load task), the application realizes global minimization of household electricity cost through intelligent scheduling, and effectively overcomes the limitations of high calculation complexity of a traditional model-driven method and poor flexibility of a rule control method.

The invention discloses a cooperative control method for load priority and demand control of a photovoltaic energy storage system, relates to the technical field of new energy, and aims to solve the technical problem of low energy utilization efficiency. Calculating the target power of the energy storage system based on the photovoltaic power generation power and the load target power; and judging whether the photovoltaic power generation power is greater than the load target power. According to the cooperative control method for load priority and demand control of the photovoltaic energy storage system provided by the embodiment of the invention, efficient coordination among photovoltaic power generation, the energy storage system and the power grid load can be realized through organic combination of a load priority strategy and demand control; according to the method, the system can dynamically adjust the working state of each part according to the actual power demand, the utilization efficiency of energy is optimized, and meanwhile, the method can meet the load demand of a user to the maximum extent on the premise of demand control, so that the economic benefit is improved.