5834 results about "Power generation system" patented technology

The invention discloses a distributed optical storage micro-grid control system based on a large model and an energy management method, and the system collects various data through a data collection module, captures a time sequence long-term dependence relation based on a self-attention mechanism through a large model prediction system, and predicts the photovoltaic power generation amount, the load demand and the energy storage charging and discharging demand. The network-forming inverter integration module dynamically adjusts the output power, the energy storage strategy and the interaction power of the power generation system according to a prediction result, the distributed control strategy module adopts a distributed consensus algorithm to realize information sharing and collaborative decision making, and the energy management module makes a multi-time scale plan and introduces an economic optimization model. The energy management method comprises the steps of data collection, real-time monitoring, prediction modeling, plan making, distributed control, economic optimization, system monitoring, fault processing and the like. The method can improve the new energy utilization rate, the electric energy quality and the system stability, adapts to the change of environmental factors, and maximizes the economic and environmental benefits of the micro-grid.

The invention discloses a wave power generation efficiency optimization control method and device based on artificial intelligence. The method comprises the steps that S1, a marine environment data set is collected; s2, forming a preprocessed marine environment data set; s3, according to the preprocessed marine environment data set and the structure parameters of the wave energy power generation system, constructing an optimization objective function; s4, performing global search on the optimization objective function by using a bitter fish optimization algorithm, initializing an optimization population, and determining a plurality of candidate optimal parameter regions; s5, adopting an adaptive jellyfish search algorithm to perform local fine search on the area where the candidate optimal parameters are located, updating and optimizing the key control parameters, and obtaining the key control parameters for further improving the electric energy conversion efficiency; and S6, the key control parameters are applied to the wave energy power generation system, and dynamic closed-loop feedback control is formed. According to the invention, the system is always in an optimal working state, so that the electric energy conversion efficiency is further improved, and the energy loss is remarkably reduced.

The invention relates to the technical field of ocean renewable energy power generation, and particularly discloses a floating type wind wave combined power generation system model prediction control method, which comprises the following steps: establishing a nonlinear mathematical model of a floating type wind wave combined power generation system; determining a steady-state working condition point of the system; carrying out linear processing on the nonlinear model; constructing a discrete time prediction model; designing a target function; defining a state and an input constraint condition; performing real-time rolling optimization solution; and dynamically feeding back a correction mechanism. Starting from a wind wave excitation mechanism, on one hand, response in a turbulent wind frequency band is reduced through fan variable pitch control, and on the other hand, response in a wave frequency band is reduced through wave energy power generation device PTO control, so that tower footing load is effectively reduced, and pitching motion of a platform is restrained. Global multi-objective optimization is realized by designing an objective function, defining constraint conditions and solving the objective function.

The invention discloses a layered energy management method of a fuel cell hybrid tramcar with self-adaptive working condition perception. In the recognition layer, a sliding window mechanism is adopted to extract time domain and frequency domain features of load conditions, feature data are clustered based on a spectral clustering algorithm driven by a deep auto-encoder, a data set with category labels is obtained, and a deep dynamic learning vector quantization neural network classifier is trained; in the strategy layer, a double-delay depth deterministic strategy gradient reinforcement learning algorithm is adopted, a reward function is constructed, and lithium battery SOC fluctuation penalty term limit parameters in the reward function are adaptively adjusted according to the real-time load working condition category output by the recognition layer; training the reinforcement learning agent to obtain an optimal power distribution scheme between the multi-stack fuel cell power generation system and the lithium battery; and according to the performance degradation degrees of different fuel cell stacks, a distributed cooperative control strategy considering performance difference is adopted to distribute the output power of each stack, so that the coordinated control of the running state of the multi-stack fuel cell power generation system is realized.

The invention relates to the technical field of peak regulation of power generation systems, in particular to a multi-mode power generation system for a new energy large base and an operation method of the multi-mode power generation system. The multi-mode power generation system comprises a thermal power station and a fused salt energy storage power station. The thermal power station comprises a boiler, a first turbine, a first water return unit and a first generator; the fused salt energy storage power station comprises a high-temperature fused salt tank, a low-temperature fused salt tank, a fused salt heating unit, a steam-water heating unit, a second water return unit, a second steam turbine and a second generator; an air inlet of the fused salt heating unit is configured to obtain steam flowing out of the boiler, and a second discharging opening of the fused salt heating unit is connected with the first water return unit; an air outlet of the steam-water heating unit is connected with the first steam turbine and the second steam turbine. The first water return unit and the second water return unit are connected with a second feeding port of the steam-water heating unit. The multi-mode power generation system can set different operation modes according to different requirements, so that the new energy large base can meet higher requirements.

The invention discloses a control method and device for a supercritical carbon dioxide recompression cycle power generation system, and the method comprises the steps: predicting the load change of the supercritical carbon dioxide Brayton cycle power generation system according to the historical operation data and current operation state of the supercritical carbon dioxide Brayton cycle power generation system; predicting the surge risk of the compressor according to the load change of the supercritical carbon dioxide Brayton cycle power generation system; according to the load change of the supercritical carbon dioxide Brayton cycle power generation system, the split ratio is adjusted, so that the recompression Brayton cycle power generation system operates at the optimal efficiency; and the flow, pressure and temperature of a compressor working medium in the supercritical carbon dioxide Brayton cycle power generation system are adjusted according to the surge risk, so that the compressor works in a non-surge area. When the supercritical carbon dioxide Brayton cycle power generation system approaches the surge boundary, the system adjusts the opening degree of the bypass valve in advance for flow release, so that active closed-loop control of surge prediction-response-relief is achieved, a compressor is effectively prevented from entering an unstable area under sudden load change, start and stop or extreme disturbance, and the service life of the compressor is prolonged. And the safety stability and the operation continuity of the system are obviously improved.

The invention discloses an intelligent optimization control method for a wave power generation device based on an improved MPC, and the method comprises the steps: collecting the wave height, period, flow velocity and device motion posture data in real time through a multi-source sensing module, constructing an exciting force prediction model based on a bidirectional long-short-term memory network, and achieving the precise prediction of the wave exciting force of n control periods in the future; prediction data and real-time feedback signals are input into an improved jellyfish search optimization algorithm, through a two-stage chaotic mapping perturbation mechanism, the convergence speed and the global optimization ability of the algorithm are remarkably improved, and finally optimal electric damping control parameters are output. Compared with a traditional MPC method, the method has the advantages that a feed-forward-feedback composite control framework is formed by fusing deep learning prediction and an intelligent optimization algorithm, so that the energy efficiency conversion efficiency of the power generation system is improved.

The invention relates to a sustainable and stable output control method for grid-connected output power of a photovoltaic power generation system, and belongs to the technical field of photovoltaic power generation. According to the method, based on an existing photovoltaic power prediction model, a constant output power reference value of each time period is formulated, visual advance of the photovoltaic power generation power and adjustability of the photovoltaic power generation output power by a power grid are realized, and the problems of randomness, intermittency and uncontrollability of a photovoltaic power generation system under the influence of environmental meteorological factors are solved. Through the time-phased method, the power fluctuation needing to be adjusted of the energy storage system is remarkably reduced, so that the configuration capacity required by energy storage is effectively reduced, the cost is reduced, and the economical efficiency and the operation efficiency of the system are improved. Through the coordinated operation strategy of the photovoltaic-storage combined system, the stability and controllability of the photovoltaic system are enhanced, and stable grid connection of the photovoltaic system is ensured. According to the invention, large-scale grid connection of photovoltaic power generation is promoted, and the economic benefit of the photovoltaic-energy storage combined system and the operation reliability of the power grid are further improved.

This application provides a wind-resistant, stable power generation agricultural-solar hybrid system, including pillars, beams, photovoltaic supports, and photovoltaic panels erected in farmland. The photovoltaic panels are equipped with a buffer mechanism and an overload release device. The buffer mechanism effectively absorbs kinetic energy and reduces the swaying amplitude and speed of the photovoltaic panels through its elasticity, and automatically resets the photovoltaic panels after strong winds. The overload release device protects the photovoltaic panels from damage caused by strong winds. This application overcomes the technical defects of existing static wind-resistant systems, reduces system wind resistance, can withstand super typhoons, provide stable power generation and irrigation, and promote agricultural production.

The invention provides a fused salt heat storage coupled compressed air energy storage cooperative power generation system and a control method thereof.The fused salt heat storage coupled compressed air energy storage cooperative power generation system comprises a data acquisition module, a multi-target optimization decision algorithm based on dynamic programming, an energy distribution module, a dynamic adjustment module and a safety protection module; a multi-objective optimization decision algorithm based on dynamic programming automatically switches system working modes, an energy distribution module optimizes fused salt and air flow of a high-temperature fused salt air heat exchanger, and a dynamic adjusting module adjusts fused salt pump flow, compressor rotating speed and valve opening in real time. And the safety protection module is used for monitoring and preventing over-temperature, fused salt solidification and pipeline corrosion. The problems that in the prior art, a fused salt heat storage type photo-thermal power generation system is insufficient in heat storage capacity under the extreme weather condition, a compressed air energy storage system depends on fossil fuel, the afterburning efficiency is low, and the energy loss is caused due to the low system coupling degree can be effectively solved.

The invention discloses a generator access control method of an energy storage power generation system. The method comprises the following steps: connecting a generator to an alternating current side of an energy storage converter through a control switch; when the energy storage converter is in an off-grid state, if the total power supply amount of the energy storage converter meets the load requirement, the generator is disconnected with the load through the control switch, and at the moment, the energy storage converter carries out loading independently; if the total power supply quantity of the energy storage converter does not meet the load requirement, judging the output power of the generator; if the output power of the generator is not overloaded relative to the load demand, the control switch is closed to enable the generator to be loaded independently, and the energy storage converter seals waves; otherwise, the control switch is closed to enable the energy storage converter and the generator to be jointly loaded. The method has the advantages that the energy storage converter is subjected to wave sealing after the generator is connected into the system, power can be prevented from being accumulated on the bus for a long time, and the overvoltage risk of the bus is avoided.

The invention discloses an expressway slope photovoltaic grid-connected power generation system for cross energy fusion, and relates to the technical field of expressway slope photovoltaic grid-connected power generation. Comprising a main power grid dispatching sensing module, a reverse power transmission characteristic data acquisition module, an impact strength evaluation and classification module, a graded power regulation and control execution module and a self-adaptive regulation and control feedback module, the reverse power transmission characteristic data acquisition module is used for acquiring electrical characteristic data and power fluctuation characteristic data of the photovoltaic grid-connected point in real time and constructing a reverse power transmission evaluation data set when the judgment result is that the photovoltaic grid-connected point encounters transient reverse power transmission; and the impact strength evaluation and classification module determines the impact strength of the reverse current when the photovoltaic grid-connected point encounters transient reverse power transmission based on the constructed reverse power transmission evaluation data set, and classifies the impact strength. According to the invention, the problem that the photovoltaic grid-connected point cannot be dynamically regulated and controlled under the impact of transient reverse power transmission is solved, and the self-adaptive power regulation and control effect of impact strength identification and grading response is realized.

The invention provides a transient current capability improvement control system and method of a wind and light power generation system. The system comprises a self-synchronizing voltage source control module, a junction temperature prediction module, a transient current improvement control module, a current instruction calculation module and a transient current precise control module. According to the invention, online observation of the junction temperature of the wind-solar converter power device can be realized, the maximum short-circuit current which can be output can be accurately predicted, the DC bus voltage, the switching frequency and the modulation strategy are adjusted when the power grid has a fault, the junction temperature of the power device is reduced, and the transient current endurance capability of the power device is improved. And the transient current is accurately controlled to limit the utilization of the transient capability of the power device.

The present invention relates to a system, apparatus, and method for the dual-purpose functionality of capturing carbon dioxide (CO2) from atmospheric and flue gas sources and concurrently generating electrical energy. More specifically, this patent application focuses exclusively on the non-ionized hydrogen gas turbine variant of the apparatuses and methods for capturing carbon dioxide and electrical energy generating system invention. The invention embodies an integrated system designed for the efficient capture of CO2 and simultaneous production of clean electricity. To simultaneously generate electric power at maximum efficiency and capture carbon dioxide, the present invention comprises different integrated processes, integrated systems, and techniques. The present system comprises; a non-ionized hydrogen gas turbine system unit, a carbon dioxide capturing system unit, a hybrid solar Hydrogen-Oxygen gas generator system system unit and waste heat recovery system unit. Moreover, the system comprises waste-heat-based carbon dioxide absorption and waste-heat-based regeneration sub-units to power carbon dioxide capturing parts by waste heat. All the systems of units are developed, integrated, hybrid, and co-functionally working to simultaneously enhance both CO2 capture efficiency and electricity generation. Through these integrated processes, systems, and techniques, the invention aims to generate and maximize clean electrical power output while effectively capture CO2 and reducing CO2 emission impacts on the environment with a dual solution approach. The invention further includes various alternative embodiments, and invention versions for versatile application in CO2 capture and energy production fields.

The invention discloses an aviation hybrid power turbine power generation system test run rack which comprises a test run platform, a first mounting rack arranged on the test run platform and used for supporting an engine and a second mounting rack arranged on the test run platform and used for supporting a generator. A linear guide rail parallel to the axial direction of the engine, a bottom plate arranged on the linear guide rail in a sliding mode and a driving mechanism used for driving the bottom plate to slide relative to the linear guide rail are arranged on the test run platform, and the first mounting frame is arranged on the bottom plate; the driving mechanism drives the first mounting frame to move through the bottom plate so as to adjust the distance between the first mounting frame and the second mounting frame; the test bench for the aviation hybrid power turbine power generation system can be suitable for combined tests of different engines and generators, can be compatible with complete machine test tests of an aviation hybrid power split type eddy current system or an integrated type eddy current system, and is wide in application range.

The invention provides a multifunctional cycle power generation system and method by a gravity lever. The system comprises a supporting rack and a balance weight arranged on the supporting rack and slidably matched with the supporting rack, wherein engines are arranged on one side or two sides of the balance weight; the input shaft of each engine is connected to a transmission shaft; two or more single-directional clutches are fixedly connected to the middle of the transmission shaft; the locking directions of the single-directional clutches are same, gears are fixed to the peripheries of thesingle-directional clutches, and a rack matched with each gear to drive the transmission shaft to rotate is arranged next to each single-directional clutch; at least one pair of racks is arranged on the upper part and the lower part, separately, the racks and the balance weight which reciprocates are in driving movement and the balance weight is arranged on the supporting rack to swing through a lifting mechanism in a reciprocating manner. As the balance weight which swings in the reciprocating manner pulls the racks to drive the transmission shaft to rotate in the single direction, multiple engines can be driven synchronously to generate electricity synchronously, and the power needed by a supporting rack lifting device is alleviated greatly by means of a swing mode like to a lever, so that the energy sources are saved and the power generation efficiency is improved greatly.

The embodiment of the invention provides a digital simulation modeling method and device of a tandem type hybrid electric propulsion system, computer equipment and a medium, and relates to the technical field of simulation modeling, and the method comprises the following steps: constructing a turboshaft prime mover model, constructing a generator model, connecting the turboshaft prime mover model and the generator model in series to generate a generator set, the power generation groups are connected in parallel to construct a turbine power generation system; constructing a propulsion system; constructing a battery energy storage system; constructing a power transmission and distribution system, and respectively connecting the power transmission and distribution system with a turbine power generation system, a propulsion system and a battery energy storage system; and constructing a comprehensive control and energy management system, and outputting a digital simulation modeling result through a turbine power generation system, a power transmission and distribution system and a battery energy storage system. According to the scheme, a simulation modeling method based on multi-physics field coupling double-power-source dynamic response and energy flow regulation and control provides reliable modeling technical support for engineering application of a tandem type hybrid electric propulsion system.

Disclosed are twin-based systems and methods for predicting solar power generation and optimizing power generation and distribution processes. Employed are a digital twin model of a solar power plant, which includes detailed representations of various components, such as solar panels, inverters, and transformers, as well as real-time weather data and historical data. This advantageously allows for accurate simulations of plant performance under various weather conditions and operational scenarios. Our systems and methods Incorporate novel machine learning algorithms that are trained on historical and real-time data from the digital twin model, weather data, solar power generation data, and other relevant factors. These algorithms utilize an advanced ensemble learning approach, which combines multiple predictive models, such as deep learning, support vector machines, and decision trees, to achieve higher accuracy and robustness in predicting solar power generation

The invention discloses a self-adaptive harmonic current suppression method for harmonic waves of a photovoltaic inverter, which belongs to the technical field of power quality control of a power system and comprises the following steps of: compensating a control strategy through a self-adaptive harmonic component of the photovoltaic inverter by adopting a'detection-reverse injection 'framework; the difference between the residual apparent capacity of the inverter after fundamental wave power supply and the borne harmonic power is used as an adaptive quantity, and the total harmonic distortion rate of the grid-connected point is reduced to the maximum extent on the premise of no overload; the method comprises the following steps: firstly, constructing a real-time harmonic detector based on a cascade generalized integrator; secondly, an inverter impedance model is established from the aspect of impedance stability, and a control parameter stability boundary is determined; then, a self-adaptive harmonic control strategy is introduced into the single-inverter grid-connected system, and a reasonable parameter setting method is provided on the basis of considering stability limitation; afterwards, a capacity-matched harmonic power distribution algorithm is provided for a multi-inverter parallel system, and the efficiency and operation stability of a photovoltaic grid-connected power generation system are improved.

The invention discloses an intelligent prediction and scheduling management system based on hazardous waste incineration waste heat recovery power generation, relates to the technical field of hazardous waste incineration waste heat recovery power generation, and aims to monitor key parameters such as temperature, pressure, flow and flue gas components in the hazardous waste incineration process in real time, and determine the hazardous waste incineration waste heat recovery power generation through data processing and feature extraction. And the hazardous waste incineration heat value, the waste heat boiler steam production amount and the power generation amount are accurately predicted. Meanwhile, the system combines power grid load change and price fluctuation, realizes intelligent regulation and control of equipment operation and maximization of waste heat recovery efficiency and generating capacity through an optimization scheduling algorithm, can improve energy recovery efficiency to the maximum extent, reduces energy waste, improves economic benefits and environmental sustainability of the system, and has wide application prospects. The power generation benefit can be improved in the field of hazardous waste incineration, and reference can be provided for other industrial waste heat recovery power generation systems.

The invention discloses a transcritical carbon dioxide energy storage power generation system for combined supply of cooling, heating and power, and belongs to the technical field of energy storage. Low-pressure carbon dioxide is compressed to be in a supercritical high-pressure state through the structure that the three-stage compressor and the three-stage intercooler are matched; the maximum pressure increase is obtained by using the minimum entropy increase; complete release of high-pressure carbon dioxide is realized through cooperation of a three-stage heat regenerator and a three-stage turbo expander; the condition that the equipment conformity is too high due to single-stage expansion is avoided; the surplus electric energy is stored in the valley period of the electricity price, and the high-voltage carbon dioxide is released for power generation in the peak period of the electricity price, so that economic benefits are obtained through the electricity price difference, and rapid peak regulation capacity is provided for a power grid; the high-pressure carbon dioxide storage tank adjusts the capacity of an air bag through pressure-resistant oil, so that the storage requirement of constant-pressure high-pressure carbon dioxide is met, the material cost of the high-pressure carbon dioxide storage tank is reduced, and the manufacturing cost of a power generation system is reduced; the multi-stage compression efficiency of the low-pressure carbon dioxide storage bag is improved by adopting a double-layer air bag structure.

The invention discloses a range extender power generation system and a control method, and relates to the technical field of power systems. The system comprises an energy storage module, a driving module, a range extender module and a control module, the control module combines model predictive control and reinforcement learning and optimizes energy distribution, so that the system can automatically select an optimal strategy according to different driving working conditions, the energy utilization efficiency is further improved, the total energy consumption is reduced, and the driving efficiency is improved. The efficient cooperative work of the internal combustion engine, the generator and the driving motor is realized; self-adaptive gear shifting control is carried out based on real-time vehicle working conditions, path prediction information and motor efficiency, and it is ensured that a driving motor always works in an efficient area. Besides, the system also has fault diagnosis and fault-tolerant control functions, can detect the performance deviation of the engine and the generator in real time, automatically enters a fault-tolerant mode when a fault occurs, and ensures that the vehicle can safely run to a preset place even under the fault condition by cutting off or adjusting the output of the engine.

The invention discloses an aerostat with a built-in pressure adjusting structure, a wind power generation system and a control method, the aerostat of one embodiment comprises an auxiliary air bag, the pressure adjusting structure arranged in the auxiliary air bag and a pressure control structure arranged outside the auxiliary air bag, the pressure adjusting structure comprises an air duct pipe, a first valve arranged at one end of the air duct pipe, a second valve arranged at the other end of the air duct pipe and a fan arranged in the air duct pipe and located between the first valve and the second valve. The pressure control structure comprises a controller and a differential pressure sensor, and the controller is used for controlling the fan, the first valve and the second valve to exhaust or inflate the auxiliary air bag according to the air pressure, sensed by the differential pressure sensor, of the bag body. According to the embodiment, the pressure adjusting structure of the aerostat is integrally arranged in the auxiliary air bag, the beneficial effects of being compact in structure, good in air tightness and the like are achieved, the stability and reliability of the aerostat are remarkably improved, and the practical application value is achieved.

The invention discloses a wind power generation system. The system comprises a ground device; the floating device comprises an adjusting air floating piece and a first annular air floating piece, the adjusting air floating piece is movably connected with the ground device, the first annular air floating piece is connected with the adjusting air floating piece, and a through duct is defined by the inner wall of the first annular air floating piece; the wind power generation device is arranged in the duct; and the position of the gravity center of the adjusting air floating piece in the extending direction of the duct is adjustable. According to the wind power generation system, the influence of airflow disturbance, temperature change and buoyancy lift gas leakage on the floating device can be reduced, the phenomenon that the pitching posture change amplitude is large is reduced, particularly, the included angle between the wind receiving face of the blade of the wind power generation device and the airflow direction is closer to the optimal value, the effective wind energy area flowing through the blade is increased, and the wind power generation efficiency is improved. And the fluctuation of the wind energy yield along with the posture is reduced, so that the wind energy utilization efficiency and the power generation output power are improved.

The invention relates to the technical field of ocean engineering and renewable energy source development and utilization, and discloses an energy gathering type wave energy power generation system adapting to the water level and an application method thereof.The wave energy power generation system comprises a plurality of wave energy devices, and each wave energy device is composed of a wave energy capturing device and a wave energy power generation device; the wave energy power generation device is installed on the upper portion of the wave energy capturing device, the wave energy gathering device is formed by splicing a plurality of energy gathering plates, one side of the wave energy device is fixedly connected with a plurality of connecting rods, one ends of the connecting rods are fixed to one side of the wave energy gathering device, and the lifting adjusting mechanism is provided with a plurality of pile legs. According to the energy-gathering type wave energy power generation system adapting to the water level and the application method thereof, wave energy can be gathered again in a specific area, the input wave energy level of a wave energy device is improved, the output power and the conversion efficiency of the wave energy device are remarkably improved, and the shielding effect generated after the wave energy device is arrayed is avoided.

An integrated energy system comprising a power plant including at least one nuclear reactor and electrical power generation system, the at least one nuclear reactor being configured to generate steam, and the electrical power generation system being configured to generate electricity, a desalination system configured to receive at least a portion of the electricity and steam to produce brine, an electrolysis process configured to process the brine into Sodium Hydroxide (NaOH), a Sodium Formate (HCOONa) production process configured to receive the Sodium Hydroxide (NaOH) to produce Sodium Formate (HCOONa), a Hydrogen (H2) extraction reactor configured to receive the Sodium Formate (HCOONa) and produce Hydrogen (H2), and a fuel cell configured to receive the Hydrogen (H2).

A gate linkage control method and device and a parallel water supply and power generation system are provided. The method comprises the following steps of: acquiring current gate opening degree information of the parallel water supply and power generation system and a current water level of a third trunk canal, the current gate opening degree information comprising current first gate opening degree information and current second gate opening degree information; determining a target gate linkage control strategy of the parallel water supply and power generation system according to the current gate opening degree information of the parallel water supply and power generation system and the current water level of the third trunk canal; and controlling a gate opening degree of a target gate according to the target gate linkage control strategy of the parallel water supply and power generation system.

The invention relates to the technical field of photovoltaic power generation, and discloses a photovoltaic energy storage cooperative power generation system and method.The photovoltaic energy storage cooperative power generation system comprises a photovoltaic assembly, an intelligent string structure, an energy storage system and an intelligent controller, and the photovoltaic assembly comprises an east assembly and a west assembly and is connected to the direct current end of the same inverter to balance the morning and evening power generation peak values. The group string structure adopts a fixed group string and a switchable group string to be connected in parallel, and the group strings are dynamically switched to be connected and disconnected through an intelligent switch to adapt to irradiation fluctuation. The energy storage system comprises an energy storage battery and a bidirectional converter, a direct current end is connected with the battery, an alternating current end is connected with a grid through an intelligent switch, and charging and discharging scheduling under a peak-valley electricity price strategy is supported. The intelligent controller integrates a power prediction module, an economic dispatching module and an equipment protection module, monitors photovoltaic output, an energy storage SOC and a power grid state in real time, and dynamically optimizes string switching, energy storage charging and discharging and inverter operation parameters. Through east-west assembly power balance, flexible string reconstruction and energy storage intelligent scheduling, power generation income maximization and equipment service life prolonging are realized.

Systems for self-organizing data collection and storage in a power generation environment are disclosed. A system may include a data collector for handling a plurality of sensor inputs from sensors in the power generation system, wherein the plurality of sensor inputs is configured to sense at least one of: an operational mode, a fault mode, a maintenance mode, or a health status of at least one target system. The system may also include a self-organizing system for self-organizing a storage operation of the data, a data collection operation of the sensors, or a selection operation of the plurality of sensor inputs. The self-organizing system may organize a swarm of mobile data collectors to collect data from a plurality of target systems.

The invention discloses a multi-park power-carbon cooperative scheduling strategy considering power generation side life cycle carbon emission. The method comprises the following steps: acquiring related data information in a multi-industrial park system, and constructing a life cycle carbon emission accounting model of a thermal power generation system and a photovoltaic power generation system; a carbon compensation mechanism is provided, the carbon emission reduction characteristic of the photovoltaic power generation system is used for counteracting the life cycle carbon emission of the photovoltaic power generation system in the production, construction and decommissioning stages, and the interior of the life cycle carbon emission responsibility of the photovoltaic power generation system is promoted; an upper-layer model is mainly combined with a carbon compensation mechanism to solve a scheduling strategy of a power distribution network and calculate node carbon intensity, and a lower-layer model is used for calculating node carbon intensity on the basis of dynamic carbon emission factors calculated by the upper-layer model. And performing low-carbon economic dispatching by taking the lowest operating cost and carbon trading cost of the park as a target, solving an optimal production and power-carbon trading strategy of the industrial park through double-layer model iteration, and processing an oscillation phenomenon by adopting a heuristic method based on a bisection method.