1068 results about "Cogeneration" patented technology

In an intelligent pollution and carbon reduction method based on combustion control and load distribution, a data processing layer, a multi-unit load distribution and operation optimization layer and a single-unit boiler multi-objective combustion optimization layer are used. The data processing layer, the multi-unit load distribution and operation optimization layer and the single-unit boiler multi-objective combustion optimization layer are embedded in a power plant information system in the form of modules. A load distribution and operation optimization method for a multi-source fuel blending combustion unit with economy as an objective is provided to overcome the operation optimization difficulty of the key production process of a multi-source fuel blending combustion cogeneration unit, such as sludge drying-steam distribution.

Disclosed in the present invention are a low-carbon operation method and system for an integrated electric-thermal energy system under a demand response. The method comprises: collecting data in a combined heat and power generation unit, establishing a low-carbon demand response model on a demand side, and constructing an integrated electric-thermal energy system model; on the basis of the integrated electric-thermal energy system model, establishing an optimal scheduling model that satisfies an operational constraint condition and aims to maximize the revenue of an energy supply side; establishing a carbon emission flow model to calculate a carbon emission flow, mapping the carbon emission of the energy supply side to a load side, and establishing the low-carbon demand response model on the demand side by maximizing the consumer surplus as an objective; and using a genetic algorithm to solve the optimal scheduling model that aims to maximize the revenue of the energy supply side, and the low-carbon demand response model on the demand side, obtaining a low-carbon optimization scheduling plan of the integrated electric-thermal energy system, and implementing scheduling of the integrated electric-thermal energy system. According to the present invention, the carbon emission of the integrated electric-thermal energy system is reduced, the cost of energy conservation and emission reduction is reduced, and the low carbon performance and the economical efficiency are both considered.

The invention discloses a wind power-photovoltaic-photo-thermal cold power co-production system integrating heat pump energy storage and suitable for a large energy base, and belongs to the technical field of energy storage. A hot side outlet of a steam generator of the system is connected with an inlet of a second molten salt tank through a fourth molten salt pump, an outlet of the second molten salt tank is connected with an inlet of a first three-way valve through a second molten salt pump, and a first outlet of the first three-way valve is connected with an inlet of a heat collection tower. An outlet of the heat collecting tower is connected with a first inlet of a second three-way valve through a first molten salt pump; an outlet of the second three-way valve is connected with an inlet of a first molten salt tank; the compressor is connected with a hot-side inlet of the first heat exchanger, a hot-side outlet of the first heat exchanger is connected with an inlet of the turbine through a hot side of the second heat exchanger, and an outlet of the turbine is connected with an inlet of the compressor sequentially through a hot side of the third heat exchanger and a cold side of the second heat exchanger. According to the system, cold energy can be supplied to the outside through the heat pump energy storage system in the energy storage stage, cold and power cogeneration is achieved, and the comprehensive energy efficiency of the large energy base is improved.

The invention discloses an energy storage-heat pump linkage heat, power and cold collaborative peak regulation system and an operation method. The system comprises a combined heat and power generation unit, an evaporator, a condenser, a compressor, wind power and photovoltaic power generation equipment, an electric power controller, a cross-seasonal energy storage chamber and the like. Surplus electric quantity of a power grid is consumed through a heat pump and converted into heat energy and cold energy in a power off-peak period, and part of condensed water of a steam turbine is heated through heat storage in a power peak period to improve the power output of a unit; the unit heats heating return water through heat storage release and steam turbine steam extraction in a cascade mode in winter, electric heating peak regulation is achieved, external cooling and electric cooling peak regulation are achieved through electric cooling conversion and cold energy release in summer, and cross-seasonal energy storage and peak regulation are achieved through electric heating and cold conversion in spring and autumn. Power storage is replaced by cold storage and heat storage, peak regulation is promoted through heat supply and cold supply, and the new energy power consumption level can be greatly improved.

The invention relates to the technical field of heat energy recovery, in particular to an efficient multistage waste heat recovery and reutilization combined heat and power generation system which comprises a heat output calculation module, a temperature difference mode analysis module, a heat exchange efficiency analysis module, an optimal parameter identification module, a condenser management module and a condensate water recovery control module. According to the method, temperature, flow and pressure data of multiple positions are collected in real time, the heat fluctuation trend under multiple input conditions is accurately predicted, a basis is provided for follow-up optimization decision making, and through dynamic prediction of a temperature difference mode, the heat exchanger inlet and outlet temperature and the mutual relation between multiple equipment working parameters are combined, so that the heat exchange efficiency is improved. Real-time evaluation of the heat exchange efficiency is achieved, construction of a working model of a heat exchanger is combined, optimal working parameters under multiple temperature gradients are accurately recognized, optimization of working parameters of a condenser and condensate water recovery equipment is combined, the energy utilization rate of the combined heat and power generation system is increased, energy consumption is reduced, and resource waste is reduced.

The invention relates to the technical field of energy system management, and discloses an energy storage scheduling method and device of a combined cooling heating and power system, and the method comprises the following steps: S1, collecting and building a physical model and data of each device of the combined cooling heating and power system; s2, load prediction is carried out by using a long short-term memory (LSTM) neural network; s3, based on a load prediction result, a scheduling optimization objective function is established, and the objective function defines an optimization direction and an evaluation standard; s4, scheduling the charging and discharging processes of the energy storage device by adopting a deep reinforcement learning algorithm; s5, performing real-time scheduling adjustment by using model predictive control; and S6, using rolling horizon optimization to continuously optimize the scheduling strategy on each time step. According to the method, the future load is accurately predicted by adopting the long short-term memory neural network LSTM, and real-time scheduling is realized by combining model prediction control MPC and rolling horizon optimization.

The embodiment of the invention provides an energy storage peak regulation system and method coupling waste heat recovery and water body heat storage. The system comprises a thermal power generation subsystem, a circulating water waste heat utilization subsystem, a water body heat storage subsystem and a heating subsystem. By recycling waste heat of circulating water, the heat efficiency of the unit can be improved under the same combined heat and power generation capacity, the coal consumption rate is reduced, and energy-saving and carbon-reducing transformation is assisted to be achieved. After the water body heat storage technology is coupled, the system can participate in peak regulation and peak service all the year round, and flexible transformation is assisted to be achieved; the diversified heat supply modes of steam extraction heat supply, circulating water waste heat recovery heat supply and heat storage water body heat supply assist in achieving heat supply transformation. The circulating water waste heat utilization technology and the water heat storage technology are deeply coupled with an existing combined heat and power generation unit, and energy-saving and carbon-reducing transformation, flexible transformation and heat supply transformation of the combined heat and power generation unit can be achieved at the same time.

An energy storage system (TES) converts variable renewable electricity (VRE) to continuous heat at over 1000° C. Intermittent electrical energy heats a solid medium. Heat from the solid medium is delivered continuously on demand. Heat delivery via flowing gas establishes a thermocline which maintains high outlet temperature throughout discharge. The delivered heat which may be used for processes including power generation and cogeneration. In one application, there are thermal energy storage units that provide existing power plants with greater system efficiency, safety, and reduced fuel consumption.

The invention discloses a combined heat and power generation system control strategy based on an AME-TD3 algorithm, and belongs to the technical field of combined heat and power generation system optimization control. Comprising the following steps: S1, collecting system parameters and initializing a CHP running state; s2, when a target # imgabs0 # value is calculated, an entropy reward mechanism is introduced; s3, realizing exploration and utilization of an adaptive noise adjustment mechanism and a dynamic balance strategy based on Critic network evaluation; and S4, optimizing the control strategy in real time. Aiming at the problem that an existing TD3 algorithm is insufficient in exploratory performance, an entropy correction item is introduced into calculation of a target # imgabs1 # value, structural correction is conducted on a target value function, strategy updating is more efficient, and the effectiveness of overall strategy optimization is improved; aiming at the problem that random noise in a traditional TD3 algorithm cannot adapt to a complex environment, a dynamic self-adjusting noise generation function is added in a strategy updating process, so that the convergence speed is increased, the stability is enhanced, and the self-adaptive adjustment capability of a system to load fluctuation and environmental condition change is enhanced. The method has good expandability.

The invention provides a virtual power plant dynamic regulation and control method based on deep reinforcement learning. The method comprises the following steps: constructing a virtual power plant dynamic model; the virtual power plant dynamic model comprises a network dynamic model and an equipment dynamic model; constructing a wind power output uncertainty model according to the wind power historical data; constructing a virtual power plant scheduling model based on the virtual power plant dynamic model and the wind power output uncertainty model; the virtual power plant scheduling model is divided into two stages of day-ahead optimization and intra-day adjustment; and optimizing the virtual power plant scheduling model based on a deep reinforcement learning optimization strategy so as to improve the economical efficiency and the real-time performance of scheduling by learning the dynamic characteristics and the scheduling strategy of the equipment. According to the method, the virtual power plant dynamic model containing the wind turbine generator, the combined heat and power generation unit, the heat pump and the electric energy storage unit is established, the accuracy of the model is improved, cooperative regulation and control of all devices in the virtual power plant are achieved, and real-time requirements and economical efficiency are guaranteed.

The invention belongs to the technical field of energy storage, and relates to a compressed air and water coupled multi-energy co-production energy storage system and method, comprising an air compressor, a first heat exchanger, a second heat exchanger, an air turbine and a cooling module; a circulating medium of the first circulating loop is fused salt; the circulating medium of the second circulating loop is water, and the second circulating loop comprises a low-temperature water tank, a first booster pump, a second heat exchanger, a high-temperature water tank, a flash tank, a third heat exchanger, a steam turbine high-pressure cylinder and a heating module which are sequentially communicated end to end. Compression heat generated by compressed air can be stored in fused salt and water, special geographical conditions needed for storing high-pressure air are avoided, meanwhile, in the energy release stage, the stored water is used for flash evaporation and fused salt heating and then enters a steam Rankine cycle to do work, combined heat and power generation can be achieved in winter, combined cooling and power generation can be achieved in summer, and the energy-saving effect is achieved. Therefore, combined supply of different kinds of energy in different seasons is achieved, and the energy supply efficiency is improved.

The invention discloses a multi-microgrid operation optimization method considering supply and demand flexible double responses. The method comprises the following steps: establishing a cost optimization model of multi-microgrid electric energy cooperation sharing; a gas turbine, a waste heat boiler and an organic Rankine cycle power generation device are introduced to construct a supply side response model for flexible output of electricity and heat energy of the cogeneration unit; a demand side establishes a demand side flexible response model by considering transferability and replaceability of the electric heating load; and a multi-microgrid electric energy sharing cooperative operation model is established based on the Nash negotiation theory, and then the model is decomposed into a microgrid alliance benefit maximization sub-problem and a benefit distribution sub-problem. And in the cooperative income distribution sub-problem, the micro-grids negotiate with each other by taking the electric energy contribution and the marginal contribution degree of the micro-grids in cooperation as bargaining capabilities, so that fair distribution of cooperative income is realized. According to the optimization method provided by the invention, the advantages of flexible supply and demand and resource coordination and complementation can be brought into full play, and the condition of unreasonable income distribution of each micro-grid in the multi-micro-grid cooperation system is improved.

The invention relates to the technical field of comprehensive energy systems, in particular to an optimal scheduling method, device and equipment for a comprehensive energy system and a medium, and the method comprises the steps: carrying out mechanism modeling on a hydrogen fuel cell, and carrying out the quantitative analysis of the variable working condition cogeneration characteristics of the hydrogen fuel cell in a feasible region through a piecewise linearization method; taking the minimum sum of the stepped carbon transaction cost, the energy purchase cost and the wind curtailment cost as a target, and establishing a target function of the integrated energy system optimization scheduling considering the thermoelectric variable working condition characteristics of the hydrogen fuel cell; establishing an optimization scheduling constraint condition considering the thermoelectric coupling hydrogen fuel cell; on the basis of a thermoelectric coupling curve obtained by the mechanism model, constructing a comprehensive energy system scheduling model considering the thermoelectric variable working condition characteristics of the hydrogen fuel cell by using a target function and constraint conditions; and solving the integrated energy system scheduling model to obtain the integrated energy system optimal scheduling method. Efficient integration and utilization of renewable energy sources, hydrogen energy and other clean energy sources are promoted.

The invention discloses a combined heat and power generation heat supply unit heat and power load optimization method. The method comprises the following steps that S1, heat and power load data, equipment operation parameters and environment parameters of a combined heat and power generation unit are collected in real time; s2, preprocessing the collected data, including noise filtering, data standardization and feature extraction; s3, constructing a dynamic digital twinborn model based on the preprocessed data, and calculating an optimal thermoelectric load distribution scheme through an improved intelligent optimization algorithm; s4, adjusting thermoelectric load output of the unit according to an optimization result, and verifying a control effect in real time through a digital twin model; and S5, feeding back the actual operation data to the digital twinborn model, and dynamically updating model parameters to improve the prediction precision. The invention belongs to the field of thermoelectric units, and particularly relates to a thermoelectric load optimization method for a combined heat and power generation heat supply unit.

The invention relates to the technical field of hydrogen load capacity configuration, in particular to a multi-scene hydrogen load comprehensive energy system double-layer capacity optimal configuration method, which comprises the following steps of: firstly, constructing a multi-scene model containing strong, weak, discontinuous and non-hydrogen loads based on the time sequence characteristics of hydrogen loads in an industrial park; then a comprehensive energy system mathematical model covering wind and light power generation, hydrogen energy conversion, multi-type energy storage and cogeneration units is established; then, constructing a double-layer capacity optimization configuration model of which the upper layer takes the whole life cycle cost minimization and the lower layer takes the operation cost minimization and the system stability optimization as targets; and finally, solving a Pareto leading edge by adopting a non-dominated sorting genetic algorithm with an elitist strategy, making a decision by utilizing an approximate ideal solution sorting method, and screening out a capacity configuration scheme with optimal comprehensive performance. The problem that a traditional configuration scheme is difficult to adapt to multi-scene hydrogen load fluctuation is effectively solved, and the economical efficiency, the stability and the renewable energy consumption capacity of the system are remarkably improved.

The invention discloses a cold-heat-electricity-hydrogen-water-oxygen combined supply system based on wind and light utilization and an operation method, and belongs to the technical field of comprehensive energy, electric energy of the system is mainly supplied by a wind power generation device, a photovoltaic photo-thermal assembly, a hydrogen fuel cell and a storage battery, and oxygen and hydrogen are generated by a proton exchange membrane water electrolysis device; clean fresh water comes from a hydrogen fuel cell power generation by-product, heat mainly comes from waste heat of a photovoltaic photo-thermal assembly and a power generation device, and cold energy is supplied by an absorption refrigeration device driven by hot water of the system or electric refrigeration. According to the system and the operation method, stable and efficient heterogeneous energy self-sufficiency is achieved by adopting the technologies of power generation device waste heat gradient utilization, plateau hydrogen internal combustion engine output oxygen combustion supporting, hydrogen storage device system internal cooling, wind and light absorption promotion and power grid adjustment through the hybrid energy storage device and the like. The method fully considers the association of wind and light fluctuation, system energy supply and power grid mutual assistance, and has the capability of stable operation of the system under complex and severe conditions.

The invention provides a control method and device for an off-grid assembly type photo-hydrogen storage roof building module. The method comprises the steps that whether the real-time generated power of a photovoltaic power generation system meets a first electric quantity storage condition or not is judged; if the real-time power generation power of the photovoltaic power generation system meets the first electric quantity storage condition, judging whether the storable electric quantity of the battery energy storage system meets a second electric quantity storage condition or not; if the storable electric quantity of the battery energy storage system does not meet the second electric quantity storage condition and the storable electric quantity of the hydrogen storage system meets the hydrogen storage condition, inputting redundant electric quantity into the water electrolysis hydrogen production system; if the real-time power generation power of the photovoltaic power generation system does not meet the first electric quantity storage condition, whether the battery energy storage system has residual electric quantity is judged, and a residual electric quantity judgment result is obtained; and if the judgment result of the residual electric quantity is no, starting the hydrogen production system to supply hydrogen to the hydrogen fuel cell heat and power cogeneration system. Occupation of land resources can be reduced, the bottleneck of single energy storage can be broken through, and photo-hydrogen storage synergistic interaction is achieved.

A thermal energy storage (TES) system converts variable renewable electricity (VRE) to continuous heat at over 900° C. Intermittent electrical energy heats a solid medium. Heat from the solid medium is delivered continuously on demand. Heat delivery via flowing gas establishes a thermocline which maintains high outlet temperature throughout discharge. The delivered heat which may be used for processes including power generation and cogeneration. Configurations of simple cycle systems and combined cycle power plants using thermal energy storage units can provide even greater efficiency and responsiveness.

The invention discloses a combined heat and power system and method for coupling thermochemical energy storage. According to the technical scheme, the combined heat and power system coupled with thermochemical energy storage comprises a thermochemical energy storage device, a compressed air energy storage device, a waste heat boiler and a steam turbine power generation device. In a low ebb of electricity utilization, heat storage is performed on the thermochemical energy storage device by adopting electric energy, and gas exhausted by the thermochemical storage tank is further stored by adopting a compressed air energy storage device; in the power utilization peak or peak, the compressed air energy storage device is started to release energy, the thermochemical energy storage device is started to release heat to the outside, high-temperature gas exhausted through heat release reaction is supplied to the waste heat boiler, steam generated by the waste heat boiler drives the steam turbine power generation device to generate power, and exhausted steam is used for supplying heat to the outside to achieve cogeneration. Thermochemical energy storage, compressed air energy storage, the waste heat boiler and steam turbine power generation are coupled for application, and the energy utilization efficiency of the thermochemical energy storage system is effectively improved.

The invention discloses a high-pressure combustion combined heat and power generation energy storage system and method for hydrogen and oxygen production through electrolysis, and relates to the field of hydrogen energy storage. After the electrolytic cell produces high-pressure hydrogen and oxygen, the high-pressure hydrogen and oxygen are stored in the hydrogen / oxygen storage tank, the system can operate in a hydrogen / oxygen mode, and in the oxygen mode operation, the hydrogen and oxygen steam mixed gas from the oxygen storage tank and the hydrogen / oxygen evaporation compressor are combusted in the high-pressure combustion chamber to generate superheated steam, and then the superheated steam enters the expansion turbine to do work; due to excessive oxygen, dead steam after acting is separated into two working media through a gas-liquid separator, that is, gas enters a cooler to be cooled and then returns to a combustion chamber through a hydrogen / oxygen evaporation compressor, drainage water generated after liquid enters a heat supply heat exchanger is pressurized through a water pump and then enters a high-temperature combustion chamber, and therefore clean utilization of hydrogen energy and cyclic regeneration of the working media are achieved. The system can realize high power generation efficiency and excellent environmental protection performance, and is suitable for regions requiring stable consumption of fluctuating renewable energy sources, power and heat supply and the like.

The invention belongs to the technical field of carbon dioxide energy storage, and particularly relates to a supercritical carbon dioxide energy storage system with combined cooling, heating and power, which realizes combined cooling, heating and power by recycling waste heat of a combined cooling, heating and power system and improves the energy utilization rate of the system. Carbon dioxide generated by the combined cooling heating and power system is captured and stored in the exhausted oil and gas reservoir high-pressure gas chamber and the exhausted oil and gas reservoir low-pressure gas chamber through the carbon dioxide capturing system, energy is stored through the stored carbon dioxide gas, and the stability maintaining effect on electric energy is achieved while carbon emission is reduced. The energy release unit is in heat exchange connection with the carbon dioxide capture system, the temperature of high-pressure carbon dioxide in the energy release stage is increased, and the comprehensive energy utilization rate and efficiency of the system are further improved.

The utility model provides a peak-shaving steam supply system for deep waste heat utilization of a thermoelectric unit, which deeply recovers cold end waste heat and flue gas waste heat of a cogeneration unit, is coupled with a two-stage compression heat pump, extracts waste heat to heat demineralized water, and serves as a primary heat source for supplying industrial steam, so that the waste heat participates in external heat supply; the superheater utilizes the generating capacity of the unit to enable industrial steam to reach steam supply parameters, the waste heat of the unit and the generating capacity are combined for external steam supply, the circulating heat efficiency is improved, the steam supply capacity is improved, meanwhile, the on-grid electricity is reduced, thermoelectric decoupling is achieved, the unit adjusting operation interval is expanded, the operation cost and pollutant emission are reduced, and peak regulation or spot transaction earnings are improved. And a clean, low-carbon, flexible, efficient, economical and energy-saving combined heat and power generation system is constructed.

An energy storage system converts variable renewable electricity (VRE) to continuous heat. Intermittent electrical energy heats a solid medium. Heat from the solid medium is delivered continuously on demand. An array of bricks incorporating internal radiation cavities is directly heated by thermal radiation. The cavities facilitate rapid, uniform heating via reradiation. Heat delivery via flowing gas establishes a thermocline which maintains high outlet temperature throughout discharge. Gas flows through structured pathways within the array, delivering heat which may be used for processes including calcination, hydrogen electrolysis, steam generation, and thermal power generation and cogeneration. Low temperature waste heat from energy production can be recovered and used to improve overall system efficiency.

The invention discloses a multi-time-scale park integrated energy system distribution robust optimization scheduling method, which comprises the following steps of: constructing an electric heating collaborative system model taking a combined heat and power generation unit as a core, and introducing a carbon transaction mechanism; constructing a confidence set in combination with a 1-norm and an infinity-norm, and respectively making a robust start-stop plan and a flexible operation strategy in day-ahead and intra-day two-stage scheduling; a column and constraint generation algorithm is adopted to decompose the constructed day-ahead and intra-day two-stage model into a main problem and a sub-problem for repeated iterative solution, and an optimal scheduling scheme with both economical efficiency and robustness is obtained. According to the method, the uncertainty of new energy prediction is fully considered, and the coping of the park to the randomness of the new energy can be better played through processing of different time scales.

The invention relates to the technical field of energy testing, in particular to a self-adaptive dynamic energy testing method based on combined heat and power generation, which comprises the following steps: constructing a thermoelectric coupling transfer model and a working condition identification model, and inputting power generation power and heat supply power into the thermoelectric coupling transfer model to correct model parameters, inputting the environmental parameters into a working condition recognition model, recognizing a current working condition type based on a preset working condition feature library, calling an initial test scheme from a test scheme library according to the current working condition type, and generating a dynamic test scheme through a machine learning algorithm in combination with the parameters corrected by the thermoelectric coupling transfer model; and controlling the test equipment to execute a test based on the dynamic test scheme, collecting test data in real time, calculating a system performance index according to the test data, comparing the system performance index with a preset threshold value, and generating feedback information for adjusting the test scheme. Therefore, the problems that in the prior art, a test scheme is fixed and cannot adapt to complex working conditions, and performance evaluation is incomplete are solved.

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 heat supply and power generation decoupling method and system for improving the peak regulation capacity of a heat supply unit, and relates to the technical field of thermal power generation. Through the synergistic effect of a phase change heat storage technology and efficient electric heating equipment, the peak regulation capacity of the heat supply unit is remarkably improved, and through reasonable configuration of system components, the heat supply and power generation decoupling efficiency is improved. Balance of economical efficiency and high efficiency of the system is achieved, operation cost is reduced, operation parameters can be monitored in real time through the intelligent control unit, intelligent regulation and control can be implemented on the basis of monitoring data, meanwhile, a self-adaptive learning function is achieved, a control algorithm is optimized from historical operation data, efficiency of the system is improved, and the service life of the system is prolonged. By configuring an intelligent sensor network, a communication module and a user interface, communication safety and visual friendliness of user operation can be ensured, the problem that the peak regulation capacity of a traditional combined heat and power generation system is insufficient is effectively solved, and the system has high practicability and popularization value and is worthy of popularization. And an innovative solution can be provided for improving the overall peak regulation performance and economy.

The invention provides a cogeneration unit peak regulation capability evaluation method, which comprises the following steps: firstly, constructing a thermodynamic system mathematical model, solving system coupling parameters under a deep peak regulation working condition through a multi-layer iterative loop architecture, and generating a multi-working-condition data set which covers a full working condition and meets physical consistency; secondly, deducing a linear qualitative relation equation of the power, the main steam flow and the heat supply steam extraction flow, preprocessing a data set, training a pure data driving model as a performance reference, introducing the linear qualitative relation equation as a physical constraint item into a loss function, and constructing and training a PINN; and finally, the rated boundary condition of the peak regulation capacity is determined, a thermal characteristic curve is obtained through PINN simulation, the peak regulation capacity range and the real-time peak regulation margin under different heat supply requirements are calculated, and the result is transmitted to a power system dispatching platform. According to the method, the all-working-condition peak regulation evaluation precision and reliability can be improved, and the flexibility and universality of the model are enhanced.

The invention discloses a multi-energy microgrid dynamic balance control and energy scheduling method and system. The multi-energy micro-grid dynamic balance control and energy scheduling method comprises the following steps: establishing a dynamic electric and thermal load prediction model of a rotary hearth furnace; a multi-energy micro-grid framework containing biomass power generation, photovoltaic power generation, gas turbine combined cooling heating and power generation, flue gas waste heat power generation and energy storage is constructed; establishing a system dynamic balance model and a multi-objective optimization framework considering production process constraints; designing a hierarchical dynamic balance joint control strategy; and scheduling by adopting a multi-time scale optimization algorithm. Through multi-energy complementation, waste heat gradient utilization and intelligent optimization scheduling, economical, reliable, low-carbon and efficient operation of energy supply of the rotary hearth furnace is achieved, comprehensive energy consumption and carbon emission are remarkably reduced, and an effective solution is provided for green low-carbon transformation of a high-energy-consumption industrial process.

The invention provides a combined heat and power system and a control method thereof, and relates to the technical field of combined heat and power. The system comprises a fuel gas heat and power cogeneration subsystem, a heat supply subsystem and a fused salt heat storage subsystem, the fuel gas heat and power cogeneration subsystem is used for fuel gas power supply, the fused salt heat storage subsystem can convert solar energy and / or flue gas generated by power supply into heat energy of high-temperature fused salt to be stored, and the heat supply subsystem conducts primary heating on heat supply return water through geothermal energy; and flue gas and / or high-temperature fused salt generated by power supply are / is used for conducting secondary heating on heat supply return water. Geothermal energy, solar energy and fused salt heat storage are coupled, and renewable energy sources are fully utilized for heat and power cogeneration, so that the power supply requirement and the heat supply requirement of a user are met. In the ground source heat pump unit, primary heating is conducted through geothermal energy, heat supply return water is heated into warm water, then the warm water is secondarily heated into hot water through smoke in the gas heat and power cogeneration system, the compression ratio of a compressor in a ground source heat pump can be reduced, and power consumption of the compressor is reduced.