26results about How to "Meet load demand" patented technology

The invention provides a radiation air conditioning system. The radiation air-conditioning system comprises a radiation air-conditioning plate, an indoor heat exchanger, a compressor, an outdoor heat exchanger and an indoor temperature detection device, and the controller is configured to close a radiation air-conditioning plate electromagnetic valve and open a heat exchanger electromagnetic valve after a starting-up signal is obtained; if the change rate d of the compressor frequency within the time t0 is not larger than the preset change rate d1, when the evaporation temperature is smaller than the dew point compensation temperature, the opening degree of the first electronic expansion valve is gradually reduced till the evaporation temperature is not smaller than the dew point compensation temperature, and the opening degree of the first electronic expansion valve is S1 at the moment; if S1 is not smaller than the preset opening degree Sa, a radiation air conditioner plate electromagnetic valve is opened, a heat exchanger electromagnetic valve is opened, and circulation is carried out again; if S1 is smaller than the preset opening degree Sa, a radiation air conditioner plate electromagnetic valve is closed, and a heat exchanger electromagnetic valve is opened; and if the continuous operation time of the compressor is t10 and the first temperature difference value delta T belongs to the target temperature interval [delta T1, delta T2], the electromagnetic valve is opened and closed according to the capacity section where the frequency of the compressor is located.

The invention discloses an integrated energy system planning optimization method and computing equipment, and the method comprises the steps: obtaining various equipment parameters, load demand data and energy prices in an integrated energy system, taking the lowest annual total cost of the integrated energy system as a first target, and taking the highest integrated energy efficiency as a second target; the total annual cost comprises the annual investment cost, the energy purchase cost, the annual operation and maintenance cost, the stepped carbon transaction cost and the wind curtailment and light curtailment penalty cost, and the comprehensive energy efficiency is used for representing the ratio of the total energy supply amount to the total energy consumption amount of each type of equipment in the comprehensive energy system; and solving the planning optimization model by using a simulated annealing chaos particle swarm complementary algorithm to obtain an optimal solution, and determining the optimal capacity configuration of each type of equipment in the integrated energy system based on the optimal solution. According to the method, the optimal capacity configuration of each type of equipment in the integrated energy system can be reasonably planned on the premise of meeting the load requirement of the system.

The invention provides a high-cold and high-altitude area sentry post and community high-quality life system configuration method based on cooperation of electricity, heat, oxygen and hydrogen, and the method comprises the following steps: 1, determining the load demands of a high-cold and high-altitude area sentry post and community high-quality life system, determining the daily change data of basic parameters, and obtaining basic data; step 2, configuring and analyzing high-quality living systems of sentries and communities in alpine and high-altitude areas; analyzing daily oxygen supply capacity, daily electricity consumption of an air compressor, rated power of a bidirectional energy storage converter and capacity configuration of a chemical battery, determining rated power of a photovoltaic water electrode heat storage boiler and capacity of a heat storage tank, determining photovoltaic installed capacity, determining daily change data of basic parameters, and producing hydrogen; and the total heat provided by the type selection of hydrogen using equipment and the configuration of biomass or other energy fuel capacity. The heating power of the photovoltaic water electrode heat storage boiler can be reduced, and the living comfort of local people is improved.

The invention discloses a day-ahead-day two-stage optimization scheduling method and system for an RSOC integrated energy system. The method comprises the steps that the RSOC integrated energy system is established based on running characteristics of the RSOC; respectively establishing an RSOC variable working condition operation model, a combined heat and power generation model and a multi-element load demand response model based on the RSOC comprehensive energy system; based on the RSOC variable working condition operation model, the combined heat and power generation model and the multi-element load demand response model, jointly establishing a day-ahead-intra-day two-stage optimization scheduling model; optimizing the day-ahead-intra-day two-stage optimization scheduling model based on a day-ahead plan scheduling target and a day-ahead constraint condition to obtain optimal operation state data of system equipment; and based on the optimal operation state data, the intra-day rolling optimization target and the intra-day constraint condition, performing rolling adjustment on the day-ahead-intra-day two-stage optimization scheduling model to obtain an optimal scheduling operation scheme. Under the condition of ensuring stable and reliable operation of the comprehensive energy system, the operation cost of the system is reduced, and the optimization control precision of the system is improved.

The invention discloses a hydrogen-light-electricity-heat coordinated integrated comprehensive energy system and an operation method, the system adopts a power controller to carry out energy management on the system, when the load demand fluctuates, according to the set priority principle of system operation, the operation mode of the system is converted in real time, and coordination control of energy balance is carried out, so that the load demand is optimized. The reasonable distribution of the power can reduce the problem of light abandoning, the maximum utilization of energy is realized, the overall efficiency of the system is improved, and the system can better cope with the change of the load demand and stably operate for a long time. The system integrates photovoltaic power generation, fuel cell power generation, water electrolysis hydrogen production, energy storage, hydrogen storage and heat storage, complementation and supply and demand collaboration of various energy sources are achieved, the comprehensive energy efficiency of the system is improved, and various load requirements of electricity, hydrogen and heat can be met at the same time. Wherein the hydrogen is prepared by utilizing electric energy generated by photovoltaics, and in the process of producing green hydrogen by utilizing renewable energy sources, zero carbon emission is realized, and the utilization of clean energy sources is realized.

The invention provides a multi-target-based configuration method for a network-forming type flow liquid energy storage system. The configuration method for the network-forming type flow liquid energy storage system comprises the following steps: step (1), collecting working information of the energy storage system and working information of a related power grid; (2) judging whether the output electric energy of the energy storage system meets the requirements of a power grid or not, and if so, entering a step (4); if not, entering the step (3); (3) adding a discharge battery of the energy storage system, increasing the output electric energy of the energy storage system, and returning to the step (1); (4) calculating the working characteristic value of each battery pack of the energy storage system; and (5) performing work control configuration on the energy storage system according to the work characteristic values of the battery packs. The invention provides a multi-objective-based configuration method for a network-forming type flow liquid energy storage system, which can ensure that the energy storage system meets the demand of a power grid load and improve the working reliability.

The invention provides an integrated energy system operation optimization method based on multi-strategy combination optimization, and relates to the technical field of integrated energy system regulation and control, and the optimization method comprises the steps: building an available power prediction model of an integrated energy system; obtaining a load demand of a to-be-optimized integrated energy system, and constructing an operation optimization model based on the outsourcing energy price and the load demand; solving the operation optimization model by taking each energy conversion equipment control strategy as a to-be-optimized variable according to a grey wolf optimization algorithm introducing a convergence factor nonlinear updating strategy and an elite wolf rollback strategy and an available power prediction model to obtain each optimal energy conversion equipment control strategy; and controlling the operation of the corresponding energy conversion equipment according to the optimal control strategy of each energy conversion equipment. The convergence factor nonlinear updating strategy and the elite wolf rollback strategy are introduced to consider the convergence speed and the optimization precision of the grey wolf optimization algorithm, so that the accuracy of the subsequent comprehensive energy system operation optimization result is ensured.

The invention provides a radiation air conditioning system. The radiation air-conditioning system comprises a radiation air-conditioning plate, an indoor heat exchanger, an electronic expansion valve, a radiation air-conditioning plate electromagnetic valve and a heat exchanger electromagnetic valve; the controller is configured to close the electromagnetic valve of the radiation air conditioner plate and open the electromagnetic valve of the heat exchanger after a starting signal is obtained; when the difference value delta T between the indoor environment temperature value and the preset indoor environment temperature value belongs to a target temperature interval [delta T1, delta T2], when the evaporation temperature is not smaller than the dew point compensation temperature, and if the compressor frequency is not smaller than the preset compressor frequency f2, a radiation air conditioner plate electromagnetic valve is closed, and a heat exchanger electromagnetic valve is opened; if the compressor frequency is smaller than f2 and larger than or equal to f1, a radiation air conditioner plate electromagnetic valve is opened, and a heat exchanger electromagnetic valve is opened; if the compressor frequency is smaller than f1, a radiation air-conditioning board electromagnetic valve and a heat exchanger electromagnetic valve are opened firstly, and if it is detected that the compressor frequency is smaller than f1 again, the radiation air-conditioning board electromagnetic valve is opened, and the heat exchanger electromagnetic valve is closed; f2 is greater than f1, and the control logic is relatively simple.

The present invention discloses a method for dynamic economic and emission optimization scheduling in combination with a plug-in vehicle power generation unit, which belongs to the field of microgrid scheduling and includes the following steps: using the power demand in each time period and the number of plug-in vehicles that can be connected to the power grid as input parameters of the model; constructing a power generation unit optimization scheduling model; using a peak shaving and valley filling algorithm to allocate the charging and discharging of plug-in vehicles, and reasonably allocating the charging and discharging behaviors of plug-in vehicles to different time periods according to the power demand during peak and valley periods; using a multi-objective genetic algorithm to optimize the power generation of the power generation unit; and obtaining the power generation of the power generation unit at each moment and the number of plug-in vehicles connected to the power grid through optimization and solution. The present invention can effectively balance the power load and significantly improve the safety and stability of the power grid operation by coordinating the charging and discharging behaviors of plug-in vehicles with power generation units, discharging plug-in vehicles during peak periods and charging during valley periods through the coordinated scheduling of the charging and discharging behaviors of plug-in vehicles and power generation units.

The invention discloses a 220kV substation main transformer capacity and outgoing line interval coordinated planning method, which comprises the following steps: acquiring working data information of a target power system, and sorting and analyzing the working data information; determining a target frame structure of the 110kV and 35kV power grids; selecting a 110kV and 35kV power grid load ratio; selecting a capacity-load ratio of the target area according to the load increasing speed; calculating the number of main transformers of the 110kV power grid and the 35kV power grid, and further calculating the outgoing line interval requirement of the 110kV power grid and the 35kV power grid; according to the load requirements and development potentials of different areas, the configuration of the main transformer capacity and the outgoing line interval is dynamically adjusted, and the outgoing line interval requirements under different load ratio conditions are optimized in combination with the capacity-load ratio of the target area. According to the method, the defects of a traditional method when load change is rapid or development space pre-judgment is insufficient are overcome, the economical efficiency, reliability and flexibility of power grid planning are improved, and the stability and coping capacity of a power grid are effectively improved.

The invention discloses an energy-saving optimization control method and system of an air compression station building, a medium and a product, and belongs to the field of air compression station building energy-saving control, and the method comprises the steps: collecting multi-source operation data of the air compression station building in a current sampling period; based on the multi-source operation data, the real gas consumption of the user in the current sampling period is calculated through the mass conservation relation among the gas supply amount, the gas storage variable amount and the gas consumption; inputting the real gas consumption of the user into a preset gas consumption prediction model, outputting gas consumption prediction data in future preset time, and solving to obtain gas supply distribution of each air compressor based on the gas consumption prediction data and a preset power-gas supply relation model of each air compressor; and on the basis of all the air supply distributions, an operation instruction is generated, all the air compressors are controlled to operate, and energy-saving optimization control is completed. By implementing the method, the problem that in the prior art, due to the fact that the outlet flow of the air compressor is directly adopted as the user gas consumption, gas consumption requirement recognition is not accurate can be solved.

The invention discloses a regional power grid photovoltaic oriented flame-light storage system scheduling method, which relates to the technical field of power system scheduling, and is characterized by comprising the steps of data acquisition and prediction, establishment of a main equipment model of a power system, establishment of a flame-light storage peak regulation hierarchical scheduling model comprising an upper layer model and a lower layer model, and determination of a target function. Constraint conditions are set, the solving process of the fire storage peak regulation hierarchical scheduling model is determined, the upper-layer model solves the optimal scheduling of the unit start-stop peak regulation stage with the minimum equivalent net load fluctuation of the power system as the target, and the lower-layer model solves the output scheduling of each unit with the minimum operation cost in the scheduling period of the power system as the target. Performing linearization processing on a function which is inconvenient to be brought into the fire storage peak regulation hierarchical scheduling model for solving, and finally performing a simulation test by taking a real scene as a case; the method has the effects of improving the photovoltaic absorption level of the regional power grid and reducing the operation cost of a power system.

The invention relates to an island micro-energy network two-stage optimization method considering hydrogen energy gradient utilization, which belongs to the field of comprehensive energy and comprises the following steps: constructing an island micro-energy network integrated with a hydrogen energy gradient utilization device; based on historical data of wind power, photovoltaic and photo-thermal power stations and output of energy supply equipment, storage equipment, a gas turbine and a hydrogen fuel cell of an island micro energy grid, a day-ahead stage objective function with the day-ahead market net profit maximization as an objective is constructed; solving the day-ahead objective function based on day-ahead supply and demand balance constraint, unit constraint and demand response constraint to obtain day-ahead market electricity, heat and gas transaction volume; constructing a real-time stage objective function with the minimum real-time market deviation adjustment cost of the island micro-energy grid as an objective; and solving the real-time objective function based on the real-time supply and demand balance constraint, the unit constraint, the demand response constraint, the uncertainty of supply and demand cooperation and the current electricity, heat and gas transaction volume of the market to obtain the optimal solution of the output of each unit and the reduction volume of the demand side capable of reducing the load.

The embodiment of the invention discloses an optimal scheduling method and device for a power system, electronic equipment and a storage medium. The method comprises the following steps: acquiring historical operation data and power consumption data of the power system and current environment data at the current moment; inputting the historical operation data, the power consumption data and the environment data into a pre-established optimization scheduling model, and obtaining a net present value of the power system according to an upper layer model of the optimization scheduling model; and inputting the net present value into a lower-layer model of the optimal scheduling model, obtaining an optimal scheduling strategy based on the lower-layer model and the net present value, and controlling the operation of the power system according to the optimal scheduling strategy. According to the method, the maximum energy efficiency is obtained while it is ensured that the photovoltaic power generation capacity meets the load requirement, the power system can more effectively configure resources, and the energy utilization efficiency is improved.

The invention relates to a capacity planning method and device for a light hydrogen storage integrated energy system. The method comprises the following steps: acquiring energy data of the photo-hydrogen storage integrated energy system; the energy data comprises the power of equipment in the light-hydrogen storage integrated energy system and the load demand for the light-hydrogen storage integrated energy system; inputting the energy data into the first-stage planning optimization model to obtain the equipment capacity of the light-hydrogen storage integrated energy system; and inputting the equipment capacity into the second-stage operation optimization model to obtain the updated power of the equipment in the light-hydrogen storage integrated energy system, and returning to the step of inputting the energy data into the first-stage planning optimization model to obtain the equipment capacity of the light-hydrogen storage integrated energy system. By adopting the method, the capacity planning accuracy of the light-hydrogen storage integrated energy system can be improved.

The application relates to the technical field of micro-grid energy management, and discloses a micro-grid dynamic coordination control method for distributed energy. The method acquires a data set of multiple monitoring nodes of a micro-grid in a historical operation interval; performs multi-resolution fluctuation analysis on an energy output data set, an energy demand data set and a system frequency data set to generate an output fluctuation index, a demand fluctuation index and a frequency fluctuation index; takes the fluctuation index as a guide variable, adopts a group optimization algorithm to explore in a micro-grid control parameter space, and locates an optimal control interval; periodically adjusts distributed power generation units and load units in the micro-grid according to the optimal control interval, generates a regulation and control instruction set and executes the regulation and control instruction set to achieve dynamic coordination control. The application realizes accurate interval positioning and efficient coordinated operation of micro-grid control, and effectively improves the stability and regulation and control efficiency of a distributed energy system.

The invention discloses a dynamic economy and emission optimization scheduling method combined with a plug-in type automobile power generation unit, which belongs to the field of micro-grid scheduling and comprises the following steps of: taking electric quantity requirements of each time period and the number of plug-in type automobiles capable of being accessed to a power grid as input parameters of a model; constructing a power generation unit optimization scheduling model; a peak clipping and valley filling algorithm is adopted to distribute charging and discharging of the plug-in type automobile, and charging and discharging behaviors of the plug-in type automobile are reasonably distributed to different time periods according to the electric quantity requirements of the peak period and the valley period; using a multi-target genetic algorithm to optimize the power generation amount of the power generation unit; and through optimization solution, the generating capacity of the generating unit at each moment and the number of plug-in automobiles connected to the power grid are obtained. According to the invention, through the charging and discharging behaviors of the plug-in type automobile and the cooperative scheduling of the power generation unit, the plug-in type automobile is discharged in the peak period, and is charged in the valley period, the power load can be effectively balanced, and the safety and stability of the operation of the power grid are obviously improved.

The invention provides a power distribution network multi-stage extension planning method and device considering carbon emission reduction, and relates to the technical field of power distribution network planing.The method comprises the steps that firstly, a carbon quota quantitative model is constructed by applying an exponential function with reference to the node load of the initial stage and the capacity of a transformer substation, so that volatility characteristics in the carbon emission reduction process are effectively reflected; then processing the constraint of the radial topology of the power distribution network by using a method of combining incremental ring detection and depth-first search, and ensuring that the planning process can adapt to the actual demand of multi-stage expansion through a broken line ring opening thought; and then, taking minimization of the sum of the construction cost, the operation cost and the carbon cost of the power distribution network in the planning period as an objective function to construct a multi-stage expansion planning model and carrying out solving. And the method is verified based on a planning example of the 24-node power distribution network. According to the method, the multi-stage extension planning model containing the carbon emission cost can be constructed, and a reference scheme is provided for realizing efficient and reliable operation of the power distribution network.

The invention discloses a multi-source synchronous regulation and control method and system for an intelligent micro-grid, and belongs to the technical field of new energy power generation control. Output parameters of multi-source power generation equipment are collected in real time, reference parameters of the micro-grid are set, and the multi-source power generation equipment is synchronously controlled through a constructed PID control model; pID parameters are dynamically adjusted based on real-time feedback of the multi-source power generation equipment, the PID control model is optimized, synchronous control over the multi-source power generation equipment and the micro-grid is achieved, the response speed and stability of the micro-grid are improved, and energy loss is reduced; after synchronous control, a multi-source coordination model is constructed based on load demand, energy supply, energy storage state and economic cost, the multi-source coordination model is solved by using an ant colony optimization strategy, an energy scheduling optimization scheme is formulated, the overall energy utilization efficiency is improved, and the overall energy cost is reduced.

The invention relates to the technical field of heat pump control, and discloses a multi-heat-pump linkage control method, device and system and a storage medium, which are used for balance control of multiple heat pumps, meet the load requirement, start the heat pumps to operate in the optimal interval, improve the energy efficiency, reduce the energy consumption and reduce the cost. The multi-heat-pump linkage control method comprises the steps that the first actual starting number and multiple operation condition parameters of the heat pump centralized control system in the current adjusting period are obtained; determining the maximum conversion rate corresponding to each started heat pump in a preset heat pump performance monitoring table according to the plurality of operation condition parameters; a centralized control conversion rate reference value is determined according to the maximum conversion rates corresponding to the multiple heat pumps, and a target operation frequency interval corresponding to the centralized control conversion rate reference value is obtained; and performing linkage control on each heat pump in the heat pump centralized control system according to the plurality of operation condition parameters, the first actual starting number and the target operation frequency interval.

The embodiment of the invention discloses a multi-target control method for a photo-thermal integrated solar energy and hot water system, and the method comprises the steps: determining a first prediction time domain according to the fluctuation condition of the output of each energy device in the day-ahead prediction; performing secondary prediction on the output of each energy device in the first prediction time domain by taking economy and emission as optimization targets; determining a second prediction time domain according to the dynamic response of each energy device and the first prediction time domain; with supply and demand balance as a target, predicting parameters of each energy device in the second prediction time domain according to the output of each energy device in the first control time domain in the secondary prediction; according to the prediction parameters of the energy devices in the second control time domain, the energy devices are controlled until the second control time domain ends; returning to the operation of determining the second prediction time domain until the first control time domain ends; and returning the operation of determining the first prediction time domain until the prediction time domain of the day-ahead prediction is ended.

The invention belongs to the technical field of photovoltaic regulation and control, and particularly discloses a distributed photovoltaic group regulation and group control method, a distributed photovoltaic group regulation and group control system and a program product. Real-time output parameters and real-time environment parameters of all distributed photovoltaic power stations in the distributed photovoltaic cluster are collected in real time for power evaluation and analysis, the adjusting power of all the distributed photovoltaic power stations is determined, and then corresponding power adjusting control parameters are generated and synchronously sent to all the distributed photovoltaic power stations; efficient distributed photovoltaic group dispatching and group control are realized, and the load requirement of a power grid is met. According to the invention, real-time distributed photovoltaic cluster automatic power generation regulation and control can be carried out according to the power grid load demand, the power grid load is timely and effectively balanced, the condition of power grid overload or insufficient power supply is avoided, and the economical efficiency and stability of a photovoltaic cluster power supply system are improved.

The application provides a control method of an axial flow variable pitch unit and relates to the field of automatic control. The axial flow variable pitch unit suitable for the control method comprises a control unit, an excitation system, a speed regulation system, a water pressurizing system, a draft tube and guide vanes, wherein the water pressurizing system comprises a water pressurizing main valve and a supplementary air valve. When the unit is in a power generation working condition, the active power thereof is reduced to a preset value, the loss of excitation protection, the loss of step protection and the reverse power protection are sequentially exited, the speed regulation system enters a phase modulation mode, the guide vanes are fully closed, the water pressurizing system is used for water pressurizing, and the water pressurizing main valve and the supplementary air valve are sequentially opened. When the water level is reduced to a preset minimum water level, the water pressurizing main valve is closed, the water level is controlled through the supplementary air valve, the excitation system enters the phase modulation mode, the active power is absorbed and the reactive power is emitted, and the unit operates in a phase modulation working condition. The control method adds the phase modulation working condition operation mode to the axial flow variable pitch unit, so that the axial flow variable pitch unit can absorb a small amount of active power from a system and provide reactive power to the system.

The present invention relates to the field of electric energy storage technology, and in particular to an energy-saving storage system for new energy electric power, comprising an energy collection module, an electric energy storage module, an information collection module, an energy supply analysis module, an intelligent control module and a correction module, wherein the energy collection module is used for collecting electric energy converted from wind energy and solar energy in real time, and the electric energy storage module is used for storing electric energy; the information collection module is used for continuously monitoring the power generation rate and the grid load to provide data support; the energy supply analysis module is used for determining the type of electric power storage; the intelligent control module is used for dynamically adjusting the electric energy storage and transfer cycle; the correction module is used for providing instant electric power compensation when the power supply and demand are unbalanced to ensure the stability of the grid; the present invention improves the storage efficiency of new energy electric power and the adaptability of the grid through intelligent control and refined management of electric energy storage equipment, and provides strong support for the efficient use of new energy electric power and the stable operation of the grid.

The invention relates to the technical field of power grid coordinated planning, in particular to a flexible power distribution network multi-energy coordinated planning method. Firstly, multi-energy information and demand information including various energy supply node and load node data are collected. Then, a real-time planning model and a prediction planning model are established, and decision variables, objective functions and constraint conditions of all the models are determined; and then obtaining current information, and performing energy matching based on the real-time planning model, including real-time energy scheduling, result evaluation and preparatory energy scheduling. And finally, judging a real-time energy scheduling result, if the real-time energy scheduling result is not satisfied, determining an energy shortage amount, preparing to input and then executing a prediction planning model, and distributing energy based on a greedy algorithm to realize efficient energy management and supply and demand balance. The method comprehensively considers the multi-energy characteristics and the supply-demand relationship, dynamically plans and dispatches, improves the energy utilization efficiency, and enhances the stability and adaptability of the power distribution network.

The present application belongs to the technical field of high-efficiency energy-saving air conditioner, and discloses a finned tube heat exchanger, a multi-system heavy load air conditioner main unit and an equipment platform. The finned tube heat exchanger is provided with heat exchange tube groups penetrating through the fin plate in parallel along the short side direction of the fin plate; the heat exchange tube groups are connected to different compressors to construct different air conditioner unit main units; the air conditioner main unit comprises at least two air conditioner unit main units; and the air conditioner main unit equipment platform is provided with the air conditioner main unit in the transverse direction. The combination of multiple small-power air conditioner unit main units in multiple air conditioner main units can more efficiently meet the wide variation and partition variation of the building heat load, and increase the flexibility of the air conditioning system. The present application also comprises the combination of the air conditioner unit main unit and the air energy water heater main unit, and the combination of the air conditioner unit main unit and the air energy water heater main unit. The present application improves the utilization coefficient of the whole two-in-one finned tube heat exchanger, and improves the COP of the two systems of the air conditioner unit main unit and the air conditioner unit main unit (air energy water heater main unit).