781 results about "Islanding" patented technology

The invention discloses a micro-grid dynamic coordination control method and system for distributed energy, and relates to the technical field of micro-grid energy management. The method comprises the steps of 1, collecting multi-source micro-grid data in real time, performing edge calculation and data preprocessing operation, and performing early judgment of an island mode; 2, converging the structure and state of each micro-grid, dynamically constructing and updating a micro-grid topological graph, analyzing the structure change and health condition of the micro-grid topological graph, and evaluating the comprehensive risk of micro-grid nodes; 3, calculating the actual distributable power of each type of loads, and carrying out autonomous control and elastic mode switching; and step 4, on the basis of the actual distributable power of each type of loads, evaluating the collaborative energy scheduling capability of the micro-grid in real time, performing role identification and implementing an optimization strategy. The problem of island emergency scheduling response lag caused by sudden failure of a main network due to some extreme events along with continuous expansion of the access scale of distributed energy and a micro-grid is solved.

The invention discloses a non-impact grid-connected recovery method, system and device for a coal mine isolated network power supply system and a medium, and belongs to the technical field of non-impact grid-connected recovery of power supply systems, and the method comprises the steps: monitoring the operation state of an isolated network, and obtaining voltage, frequency and phase parameters; preparation before grid connection is executed, and main network parameter confirmation and equipment verification are completed; performing parameter synchronous adjustment based on the controller to complete dynamic matching of voltage, frequency and phase; pre-synchronization control is implemented to realize phase prediction and power pre-balance; executing closing operation and performing impact suppression; carrying out stability regulation and control after grid connection, wherein the stability regulation and control comprise oscillation suppression and smooth load loading; and when grid connection is abnormal or fails, an emergency processing branch is entered, and standby power supply switching or island splitting control is triggered. Through multi-dimensional synchronous control, impedance reconstruction and hierarchical coordination mechanisms, high-precision and low-impact grid connection of multiple energy units under extreme working conditions is realized, and the grid connection stability and success rate of a coal mine isolated network power supply system are remarkably improved.

The invention provides an anti-islanding protection method based on cloud edge collaboration, and the method comprises the steps: obtaining historical fault data, carrying out the data processing of the historical fault data, obtaining a fault mode discrimination result, judging whether a micro-grid has an islanding operation risk or not through combining the topological structure information of a power grid, real-time operation data, and load demand prediction data, and obtaining an islanding protection result. If so, acquiring power output fluctuation data; the output power of the power supply and the load demand power are monitored in real time, if the output fluctuation of the power supply exceeds a voltage protection constant value or the load demand power exceeds a frequency protection constant value, the edge computing gateway starts a local anti-islanding control strategy, and meanwhile, the charging and discharging power of the power distribution network is adjusted; in the anti-islanding control strategy execution process, the edge computing gateway continuously collects real-time operation state data of the micro-grid, the power supply duration, the electric energy quality and the standby capacity of the micro-grid under islanding operation are evaluated according to the operation state data, and the multi-target optimization model and the operation constraint condition of the micro-grid are dynamically adjusted.

The invention relates to the technical field of hydrogen production, in particular to a micro-grid hydrogen production system based on dynamic optimization control and a multi-mode energy scheduling method. Comprising a renewable energy power generation unit which comprises at least two distributed power supplies with different power generation characteristics; the multi-stage hydrogen production device is configured to receive the electric energy output of the renewable energy power generation unit and perform proton exchange membrane water electrolysis hydrogen production; the hybrid energy storage system comprises a super capacitor bank and a lithium ion battery pack which are connected in parallel to the direct current bus through a bidirectional DC / DC converter; the dynamic optimization controller is internally provided with a multi-time-scale coordination algorithm and is used for acquiring meteorological prediction data, load demand data and an energy storage SOC state in real time; the multi-mode scheduling module comprises three working modes including an island operation mode, a grid-connected operation mode and an emergency standby mode; according to the scheme, hydrogen production economy, equipment durability and power supply reliability can be considered at the same time.

The invention relates to an active splitting and isolated island operation method based on load importance under a disaster condition, and belongs to the technical field of power systems and automation thereof. On the basis of disaster types and power supply area characteristics, constructing a load importance dynamic grading system, optimizing the weight through an analytic hierarchy process-index weight optimization collaborative algorithm, and combining with real-time updating to generate a grading result; the method comprises the following steps: deploying wide-area and local monitoring devices to collect power grid data, setting a safety threshold, triggering a splitting decision when the safety threshold exceeds the limit and the trend deteriorates, calculating an instability rate by using a multi-parameter collaborative instability pre-judgment algorithm, and starting pre-splitting preparation; and the main control center calls a target splitting section optimization algorithm to determine a section in combination with the grading result and the power grid data, generates a splitting instruction after verifying the stability of the island through load flow calculation, and performs classified stability control on the split island. The method can realize accurate load grading, early instability pre-judgment, guarantee of important load power supply such as medical treatment and the like, reduces catastrophe loss, and is suitable for power grid management and control under various disasters.

The invention provides a self-adaptive constraint model active mismatch prediction control method based on voltage and current ripple resistance of a power converter in a hybrid energy storage system, and the method comprises the steps: building an island DC micro-grid system model, collecting the voltage and current information of a system, and designing a model prediction control frame of a power loop and a cost function of the model prediction control frame; designing a model predictive control framework of the current loop and a cost function of the model predictive control framework; designing an active model mismatch mechanism to enhance the response capability to dynamic change; determining an optimization problem with a normal value, and designing an adaptive constraint optimization algorithm to dynamically adjust constraint parameters and optimize control performance; and designing a steady-state and dynamic-mode trigger for adapting to the running state of the system. According to the invention, the trajectory tracking precision of the system under dynamic and steady-state working conditions can be significantly improved, current ripples caused by control delay can be effectively eliminated, damage to electrical equipment due to overlarge ripples can be avoided, and the service life of the equipment can be prolonged.

The invention relates to the technical field of distributed energy storage and intelligent power grid control, in particular to an intelligent distributed energy storage cluster collaborative management system. Comprising a state acquisition module used for acquiring local power grid state parameters of an edge computing node in real time; the power grid state parameters comprise power grid frequency, power grid voltage and a heartbeat communication state with the cloud management platform; the risk calculation module is used for calculating quantified island risk indexes; the mode judgment module is used for determining a current operation mode decision; the mode switching module is used for switching the system from a vertical cooperative mode to a horizontal autonomous mode when the island risk index is greater than an island switching threshold value; and when the island risk index is smaller than or equal to the island switching threshold value, the system is maintained to operate in the vertical cooperation mode. According to the system, misjudgment and missed judgment of a traditional single threshold value mode are overcome, it is ensured that the mode switching module can be switched to the horizontal autonomous mode from the vertical cooperative mode in time under the real risk, and decision making is accurate and reliable.

The invention relates to the technical field of new energy intelligent decentralized control, and discloses a distributed photovoltaic power station intelligent monitoring method and system, and the method comprises the steps: collecting electrical state parameters, and carrying out the normalization processing; performing anomaly detection and island detection based on a multi-dimensional deviation fusion mechanism; generating a power support parameter through a self-adaptive reactive power injection mechanism; under the island mode, loading voltage frequency double-droop combined control; and after the main network is recovered, grid-connected reconnection is realized based on a phase progressive phase locking mechanism. Compared with the prior art that multi-dependence centralized master station judgment and scheduling cannot realize fault isolation and independent operation in time especially under the condition that main network communication is abnormal or frequency fluctuation occurs in a far-end island edge node, the technical problem that fault isolation and independent operation cannot be realized in time in the prior art is solved. Autonomous monitoring of an individual power station level and stable operation of an island are realized, and the stability of the system in a weak network or island operation scene is improved.

The invention discloses an island micro-grid operation scheduling method and device. According to the scheme, the method comprises the steps that power generation characteristic modeling is conducted on a distributed power source and an energy storage system of a diesel storage island micro-grid; constructing a function taking the minimum daily total operation cost as a target, wherein the function covers the operation cost of a diesel generator and an energy storage system and the pollutant treatment cost; establishing a power impact type load mathematical model including power characteristics, system dynamic frequency response characteristics, micro-grid dynamic frequency safety constraints and diesel generator frequency control constraints; establishing a micro-grid operation constraint model which has constraints such as power balance, Distflow power flow, energy storage, charging, discharging and capacity, diesel generator output and climbing rate; and solving the model by using a particle swarm optimization algorithm, generating a diesel generator output, energy storage system charging and discharging and frequency modulation reserve capacity distribution strategy, and obtaining an island microgrid optimal operation scheduling decision.

The invention relates to the technical field of micro-grid control, and discloses a micro-grid adaptive switching control method and system based on multi-source information fusion, and the method comprises the steps: obtaining the internal operation parameters of a micro-grid, and the state parameters of an external large power grid connected with the micro-grid; the internal operation parameters and the external large power grid state parameters are fused, and a real-time comprehensive operation state model of the micro-grid is constructed; based on the real-time comprehensive operation state model, adaptively determining a target operation mode of the micro-grid; and according to the target operation mode, generating and executing a smooth switching control instruction of the micro-grid. According to the method, the multi-source operation information of the large power grid inside and outside the microgrid is fused, the comprehensive operation state model is constructed in real time, the target operation mode is adaptively selected, and switching control is smoothly executed, so that efficient and stable switching of the microgrid between multiple modes such as grid connection and island can be realized, and the power supply reliability, the system stability and the electric energy quality are improved.

The invention provides a photovoltaic power station anti-islanding protection method, device and equipment and a storage medium, and relates to the technical field of power system protection. The method comprises the following steps: controlling an inverter of a photovoltaic power station to continuously inject a disturbance signal into a photovoltaic grid-connected system, and monitoring power measurement data of a grid-connected point after the disturbance signal is injected; when the electric power measurement data exceed a preset threshold range, determining that the electric power measurement data is abnormal; determining an abnormal duration in combination with historical power measurement data; and if the abnormal duration is greater than the abnormal duration threshold, the grid-connected switch is controlled to be switched off, and anti-islanding protection of the photovoltaic power station is realized. According to the method, the disturbance signal is actively injected, the detection sensitivity is remarkably improved, the abnormal duration is analyzed in combination with historical data, the islanding effect and instantaneous fluctuation are effectively distinguished, misjudgment is reduced, the islanding detection precision is remarkably improved, it is ensured that the islanding effect can be recognized and processed timely and accurately, and the islanding detection efficiency is improved. And the safety and the reliability of the operation of the photovoltaic power station are further enhanced.

The invention discloses a multi-mode hybrid energy storage cooperative control method and system for a megawatt-level network-building type energy storage power station, and the method comprises the steps: S1, collecting the frequency, voltage amplitude and phase of a power grid, and the charge state and temperature of each energy storage branch, and generating real-time monitoring data; s2, determining an operation mode of the energy storage power station based on a comparison result between the frequency deviation and the voltage deviation in the real-time monitoring data and a preset threshold value; s3, based on the operation mode of the energy storage power station, performing double-layer decomposition on the power instruction through a high-pass filter and a low-pass filter to generate a super-capacitor power instruction and a lithium battery power instruction; s4, generating an internal potential amplitude and a phase angle by adopting a virtual synchronous machine algorithm; and S5, on the basis of the amplitude and the phase angle of the internal potential and the detection result of the power grid connection state, executing switching control of a network construction type control mode or a network following type control mode. The millisecond-second level multi-time scale power optimal distribution is realized; self-adaptive inertia and voltage support is carried out; and island / grid-connected seamless switching is realized.

The invention relates to the technical field of energy storage systems, and provides a self-adaptive power distribution method and system for multiple energy storage units of an island microgrid. According to the invention, a discrete consistency algorithm is adopted to realize coordination control of multiple units, each unit only exchanges information with adjacent units, and power distribution targets of all the units are converged to a consistent value through iterative computation, so that the communication bottleneck and the single-point fault risk of centralized control are avoided; according to the invention, a complete fault-tolerant processing mechanism is designed, the operation state of each energy storage unit is monitored in real time, topology updating and power redistribution are automatically carried out when a unit fault is detected, and the self-healing operation of the system is realized. Experiments show that compared with a traditional method, the method has remarkable advantages in key performance indexes such as capacity balance among energy storage units, system operation efficiency, communication overhead and fault recovery time, and the operation efficiency and reliability of the island microgrid system are remarkably improved.

The invention relates to the field of clean energy, and provides a distributed secondary control method for an island micro-grid system based on event triggering, which comprises the following steps: S1, connecting adjacent distributed units in an island micro-grid through a local communication link, and constructing a distributed control architecture to eliminate dependence on a central controller; s2, triggering communication of the local communication link based on a preset threshold value, and transmitting a secondary control signal when the system state deviation exceeds the threshold value; s3, performing cooperative calculation on the secondary control signal by using the distributed control architecture, adjusting frequency and voltage deviation, and shielding original power data; and S4, connecting a newly added distributed unit to the distributed control architecture through the local communication link, thereby reducing high communication burden and single-point fault of centralized control of the island microgrid.

The invention provides a coordinated control method and device for flexible interaction of an optical storage and charging micro-grid and a power distribution network, and belongs to the technical field of intelligent power grids and distributed energy management. According to the method, through a day-ahead, intra-day and real-time three-layer coordination control architecture, the system operation cost is optimized, and the power grid stability is improved. The day-ahead layer generates a 24-hour scheduling plan based on photovoltaic output prediction, electric vehicle charging requirements and time-of-use electricity price; the intra-day layer performs rolling optimization in combination with real-time photovoltaic / load fluctuation, and dynamically allocates V2G and energy storage adjustment tasks; the real-time layer adopts adaptive droop control, monitors power grid abnormity and triggers cross-layer cooperation, and also sets photovoltaic fluctuation compensation and island mode switching conditions. Collaborative optimization is realized among the layers through bidirectional data channels. According to the method, the defect of interactive control of the optical storage and charging micro-grid and the power distribution network in the prior art is overcome, the adaptability of the system to distributed energy fluctuation is enhanced, the V2G resource potential is fully played, and the coping capacity under the abnormal condition of the power grid is improved.

The invention discloses an active island detection method and system based on harmonic impedance characteristic identification, and the method comprises the steps: analyzing the harmonic impedance difference of grid-connected points in a grid-connected state and an island state, and building a state criterion based on resonant frequency deviation and impedance amplitude through the comparison of the frequency response characteristics of island impedance and grid-connected impedance; fitting the grid impedance into an RLC parallel model in a selected frequency band, and mapping the topological difference of the power grid into a parameter difference; embedding a low-voltage ride-through strategy in the control of the voltage source converter, and adjusting reactive current in a grading manner according to the voltage drop degree of a grid-connected point; fundamental waves and harmonic waves are separated through a cascade notch filter, two synchronous harmonic waves are injected into the system through constant current control, and it is ensured that injection signals of a multi-voltage source converter are in the same phase in a phase locking link; and solving an overdetermined equation set based on the double-frequency response data to identify RLC parameters, setting an island criterion, and synchronously completing island judgment in a low-voltage ride-through time window. Detection precision is improved, dynamic response is optimized, and power generation efficiency is improved.

The present application discloses a microgrid control method and apparatus, a microgrid, and a storage medium. A power type energy storage device is connected within a microgrid, and the microgrid control method comprises: when it is determined that the microgrid is in an unplanned islanding mode, controlling the power type energy storage device to enter a power support mode, wherein the power type energy storage device charges and discharges the microgrid in the power support mode; when the power type energy storage device is in the power support mode, carrying out source-load power adjustment on the microgrid; and once the microgrid reaches a source-load power balance, controlling the power type energy storage device to exit the power support mode. According to the microgrid control method, during unplanned islanding of the microgrid, flexible source-load power adjustment can be carried out thereon within a relatively sufficient time frame, thereby ensuring the stable operation of the microgrid.

The invention discloses a power distribution network power supply recovery method and system considering multi-type distributed power supply cooperation, and the method comprises the steps: enabling a fault section to be successfully isolated, and carrying out the non-voltage switching-on of a network-following type DG in an intertripping power-losing region; constructing a source-load balance island based on the network construction type DG, and preferentially recovering an important load; when there is no contact, the upstream switch of the fault point carries out non-voltage reclosing to process an instantaneous fault, and island grid connection is planned; when connection exists, an optimal connection switch is optimized according to the capacity of a connection line and the capacity of a power-losing load, closing is carried out after an unrecoverable section is cut off, and staged power restoration is achieved by circularly cutting off the unrecoverable load, grid connection of the grid-following type DG and updating the recoverable capacity by considering the capacity of the adjacent grid-following type DG. And when an island adjacent section is recovered, the connected switches are subjected to synchronization grid connection. According to the invention, through a multi-type DG cooperative control strategy, the maximum capacity safety recovery of a non-fault section load is realized, the active support capability of the DG is fully exerted, and the reliability of the power distribution system is remarkably improved.

The invention discloses a method and a device for detecting networking and grid-connected capabilities of a networking type energy storage system, and belongs to the field of power system detection. The method comprises the following steps: disconnecting the energy storage system from an external power grid, testing whether the energy storage system is independently started or not, and establishing a stable voltage; a dynamic power compensation algorithm is adopted to ensure that the voltage and the frequency are kept stable under load fluctuation, and a time domain response analysis method is adopted to ensure that the recovery time is less than or equal to 200ms; the grid-connected power is gradually increased or reduced, and the adjustment and response capability of the system within the rated power range of 0-100% is tested; applying voltage disturbances with different amplitudes, observing the dynamic response of the tested energy storage system, and testing whether the system can operate stably and keep active power output; a main power grid is simulated to be disconnected, whether an energy storage system recognizes and enters an island mode is detected, and the island detection speed is increased by using an improved positive and negative sequence impedance measurement method. A positive and negative sequence impedance measurement algorithm is adopted, the disconnection state of the main power grid is detected more quickly, island detection time is remarkably shortened, and fluctuation of voltage and frequency is reduced.

The invention relates to the technical field of comprehensive energy optimization scheduling, in particular to a shared energy storage optimization scheduling method and system considering island operation. According to the shared energy storage optimization scheduling method, a double-layer optimization framework of a double-layer energy storage optimization model is adopted, and island operation constraints of regional integrated energy subsystems are introduced on the optimization basis of minimizing the operation cost of a multi-regional integrated energy system; a real-time shared energy storage scheduling scheme obtained by solving a double-layer energy storage optimization model not only can optimize the operation cost of the multi-region integrated energy system based on historical operation data and real-time operation data, but also can meet the island operation emergency energy constraint requirement of a region integrated energy subsystem; the power grid disconnection risk caused by the real-time load change of the system is handled, the power supply reliability of the system under the extreme working condition is improved, and then the robustness of the energy storage dynamic correction strategy of the multi-region integrated energy system is improved.

The invention relates to the technical field of micro-grid control, and provides an island micro-grid distributed control method, system and device and a storage medium. Comprising the following steps: performing voltage compensation gain and frequency compensation gain calculation based on droop control output of each distributed power generation unit, droop control output of all neighbor distributed power generation units, and a voltage dynamic tracking error and a frequency dynamic tracking error which are obtained by calculating a microgrid global recovery target to obtain secondary adjustment output; and after corresponding items in the droop control output and the secondary regulation output are summed to generate comprehensive reference output, voltage synthesis is carried out according to the comprehensive reference output to obtain voltage regulation output for output control of a corresponding inverter. Based on a distributed regulation and control mechanism for cooperatively calculating the compensation amount of each power generation unit by using neighbor information and a global recovery target, the dynamic response speed and the power distribution precision can be improved, voltage drop and frequency deviation caused by load disturbance are effectively eliminated, and rapid recovery is realized.

The invention relates to the technical field of micro-grid control, in particular to a source-grid-load storage and charging integrated control method and system based on a micro-grid, and the method comprises the steps: considering the current SOC, health state and charging and discharging rate of a battery energy storage system, and evaluating the available capacity and charging and discharging capability of the battery energy storage system; according to the predicted charging load curve, the photovoltaic output curve and the energy storage state evaluation result, taking peak load shifting, photovoltaic consumption and charging station power supply guarantee as targets, generating a scheduling strategy by using an optimization algorithm, and determining a power distribution relationship among a photovoltaic system, a battery energy storage system and a charging station in each time period; and executing a scheduling strategy generated by the energy management module through three stages of regulation and control units, wherein the three stages of regulation and control units are respectively used for limiting grid-connected power fluctuation of the micro-grid, optimizing local energy distribution and island switching, regulating active power and reactive power and carrying out harmonic suppression. And stable operation of the micro-grid and stability of electric energy quality are ensured.

The invention discloses a parallel converter cooperative grid-connected control method and device based on a fuel cell power generation grid-connected system, and the method comprises the steps: generating a PWM drive signal of a converter through employing a droop control strategy and a sliding mode control strategy when the converter of each power generation unit operates; operating data of each power generation unit and the health state of the fuel cell are collected in real time, information interaction data of adjacent power generation units are combined, and voltage and frequency compensation values of each power generation unit are calculated and used for conducting primary correction on the PWM driving signal; the amplitude deviation between the frequency, the voltage and the phase angle at the common coupling point of the alternating current bus of the power grid and each power generation unit is obtained in real time, a trigger instruction used for controlling switching of a grid-connected mode and an island mode is generated based on the deviation, and a synchronization item is generated based on the deviation in the grid-connected mode and used for conducting secondary correction on the PWM driving signal. The method can improve the stability and operation efficiency of the system, and ensures that the system is stably switched between the grid-connected mode and the island mode.

A microgrid island division method based on a cumulative foreground theory and a transfer learning thought comprises the following steps: step 1, aiming at a day-ahead decision-making scene, taking income maximization in a scheduling period as a core target, integrating short-term renewable energy output prediction and electricity price fluctuation data, and constructing a capacity optimization configuration model; 2, constructing a double-layer model, constructing a transaction decision model by the upper-layer model by taking energy storage power station revenue maximization as a target, and determining a power station quotation strategy; the lower layer model takes the sum of the electric energy cost and the frequency modulation service cost as the target to construct a combined clearing model of the electric energy and the frequency modulation market; and 3, solving the double-layer model constructed in the step 2. According to the method, energy storage can participate in an electric energy and frequency modulation market through strategic quotation under a reasonable market mechanism, and an energy storage power station is stimulated to optimize resource allocation, so that the frequency modulation pressure of a power system is reduced, the energy storage economic benefit is improved, and the stability and resource utilization efficiency of the power market are further improved.

The invention discloses a distributed power supply-containing power distribution network self-healing method and system based on defect identification, and the method comprises the steps: inputting operation data into a defect identification model, obtaining a defect identification result, correcting a feeder load rate and a weighted structure entropy according to the defect identification result to generate a candidate solution set, inputting the candidate solution set into an upper layer optimization model, and obtaining a defect identification result; taking the maximization of the load recovery amount in the island as a target, combining with a line medium to guide a search direction and adopting a second-order cone relaxation method to carry out optimization solution to obtain a load recovery scheme in the island, and inputting the candidate solution set and the load recovery scheme into a lower-layer optimization model to obtain a load recovery scheme in the island; carrying out iterative solution under a constraint condition by combining an improved star-sparrow optimization algorithm which introduces an inertia weight and a learning factor, and obtaining a load recovery result after fault reconstruction; and determining a target switch operation sequence and a load recovery strategy based on the load recovery result to perform self-healing of the power distribution network so as to improve the self-healing capability and the operation reliability of the power distribution network.

An inertia cooperative control method of an integrated optical storage alternating current and direct current hybrid micro-grid comprises the steps that firstly, according to static and dynamic power capacities of energy storage units in direct current sub-grids and allowed direct current voltage deviation, sub-grid equivalent virtual resistance and virtual capacitance are calculated; secondly, RC + R type parallel virtual impedance parameters are distributed according to the power proportion of each energy storage unit, and multi-energy-storage cooperative response power disturbance according to the capacity is achieved; then, a phase angle is generated based on the mapping relation between direct-current side voltage and frequency, an alternating-current voltage amplitude instruction is determined in combination with reactive power droop control and feeder impedance voltage drop compensation, and a dq-axis voltage instruction is generated through virtual impedance compensation; normalized three-phase modulation waves are obtained through voltage-current double closed-loop control and dq / abc coordinate transformation, and six paths of PWM signals are generated to drive an interconnection converter after the normalized three-phase modulation waves are compared with triangular carrier waves. The method does not need to depend on external communication, has the capabilities of autonomous inertia support, voltage and frequency coordinated regulation and reasonable multi-source power distribution, and improves the stability and dynamic response performance of the system under island operation.

The invention discloses an island microgrid distributed energy storage locating and sizing method and device based on data driving. The method comprises the following steps: acquiring a power generation power prediction value of each photovoltaic unit and a load power prediction value of each load node; determining the island power supply gap, the full life cycle cost and the energy storage charge and discharge efficiency of the micro-grid; giving out constraint conditions of operation of the micro-grid; constructing an island micro-grid simulation model based on the constraint condition of micro-grid operation; constructing a multi-objective optimization function based on the island power supply gap, the full life cycle cost and the energy storage charge and discharge efficiency of the micro-grid; and in combination with the analysis of the island microgrid simulation model and the multi-objective optimization function, giving the site selection and capacity of each energy storage unit to be configured. According to the method, a source-load uncertainty rule and time-space correlation characteristics are directly learned from historical data, distributed energy storage locating and sizing are guided, actual operation characteristics of an island microgrid are accurately matched, and reasonable configuration of an energy storage unit is achieved.

The invention discloses an island micro-grid voltage frequency control method and system based on deep reinforcement learning, and the method comprises the steps: S1, building a mathematical model of a distributed power supply grid-connected inverter in an island micro-grid, employing droop control as an inverter control strategy, and building a voltage and current double-closed-loop model based on droop control; s2, designing a secondary voltage controller based on a deep Q network algorithm based on the mathematical model established in S1; s3, designing a secondary frequency controller based on a DQN algorithm based on the mathematical model established in S1 and the secondary voltage controller in S2; and S4, establishing an island micro-grid model containing multi-distributed power supply access, and embedding the voltage controller and the frequency controller trained in the S2 and the S3 into the island micro-grid for online application so as to realize voltage and frequency control of the island micro-grid. The method has the advantages of eliminating voltage and frequency deviation and the like.

The invention discloses a power distribution network island grid-connected smooth switching control method and system, belongs to the field of power distribution networks, and particularly relates to power distribution system control, and the method comprises the steps: carrying out the feature extraction of a first voltage signal at the island side of a power distribution network and a second voltage signal at the main network side of the power distribution network, and obtaining a quantitative feature value; inputting the quantized characteristic value into an inrush current prediction model to output a closing inrush current prediction range, calculating a width value and a peak amplitude of the prediction range corresponding to each phase time sequence to identify a target phase interval, and evaluating stability contribution of each phase time sequence in the target phase interval to determine a target closing time sequence; and adjusting the output characteristic parameters of the inverter according to the target closing time sequence to obtain an inverter output signal, performing iterative optimization to adjust phase difference compensation, and generating a grid-connected control instruction to control grid-connected smooth switching of the power distribution network island, so that smooth switching during grid connection of the power distribution network island and the main network can be realized, and the stability of the power distribution system is improved.

The invention discloses a wind turbine generator life extension dynamic evaluation method and system based on multi-source data fusion, and belongs to the technical field of new energy. According to the method, multi-modal detection is carried out on key parts such as blades, a gearbox, a generator and a tower by collecting multi-source data such as basic parameters, historical operation data, environmental data and design files of a wind turbine generator, and residual life evaluation is carried out based on material performance, operation data and numerical simulation. And performing economic evaluation by combining cost-benefit analysis and investment payback period analysis, and finally comprehensively giving a life extension dynamic evaluation conclusion. The method solves the problems of data island, insufficient dynamic prediction capability, lack of economic analysis, low detection efficiency and the like in a traditional evaluation method, provides a scientific and comprehensive basis for the decision-making of the life extension of the wind turbine generator, and has remarkable economic benefits and engineering application values.