64 results about "Virtual inertia" patented technology

This application discloses a power grid construction system and control method. The system includes a first AC system access port, a first transformer, a second transformer, a first converter, a supporting capacitor, a second converter, a coupling module, a third converter, a second AC system access port, a DC bus, an energy storage device, and a comprehensive control unit. The control method sets multi-level early warning thresholds for voltage and frequency, divides the grid into collaborative grid construction optimization and islanded grid construction modes, and executes differentiated control logic on the three converters respectively, achieving proactive virtual inertia support for the power grid and islanded grid power supply assurance. This invention is based on power flow control technology between power transformers (TPFC) to realize grid construction across voltage levels, improve the grid's ability to absorb new energy sources and maintain power supply to important loads, and is applicable to power flow control and grid construction between voltage levels.

This invention relates to the field of frequency regulation technology at the grid connection point of wind power converters, providing an adaptive regulation method and system for the frequency of wind power converters at the grid connection point. By dynamically capturing transient signals in the instantaneous values ​​of the three-phase voltage and current at the grid connection point (PCC) and quantifying their disturbance intensity and type characteristics, the virtual inertia and damping coefficient can be adaptively adjusted to generate an active power command that precisely matches the actual disturbances in the power grid. This refined regulation enables the wind power converter to provide highly differentiated frequency support for different disturbances, significantly enhancing the frequency stability of the power grid, while effectively suppressing unnecessary power fluctuations and energy losses, thus improving the economy and reliability of system operation.

The present application relates to the technical field of flexible power distribution and transformer expansion, and discloses a transformer multi-module expansion method and device based on active damping and double-sided aggregation network construction, which constructs a circuit mathematical model through acquisition of system electrical signals to provide a precise calculation basis for double-sided control and guarantee reliable execution of control logic. The high-voltage side uses a virtual synchronous generator network control containing active damping to generate a current reference and realize current aggregation control, which can accurately regulate power flow, avoid circulating current problems caused by traditional transformer parallel connection, and provide virtual inertia and damping support to improve the stability of the high-voltage side power grid. The low-voltage side generates a voltage reference through similar network construction control and completes voltage aggregation control, which can actively reshape the impedance characteristics of the low-voltage side port and effectively suppress system oscillation. The overall method can adapt to multiple operating modes, realize flexible expansion of transformer multi-modules, and take into account power regulation accuracy, system operation stability and equipment economy.

The application discloses a large data optimized nonlinear cooperative control method and system of a converter station, and relates to the technical field of converter station control. The method comprises the following steps: obtaining real-time voltage and real-time current of a target converter station grid-connected point, and calculating real-time power grid impedance and impedance fluctuation rate; identifying the current power grid working condition type according to the impedance fluctuation rate; when the working condition is identified as a disturbance working condition, taking the real-time power grid impedance as input, and obtaining preliminary virtual inertia parameters and preliminary damping parameters through a double-branch cooperative regression network; based on the real-time power grid impedance and the impedance fluctuation rate, performing nonlinear correction on the preliminary virtual inertia parameters and the preliminary damping parameters to obtain target virtual inertia parameters and target damping parameters, generating control output, performing amplitude limiting processing through a saturation function to obtain nonlinear cooperative control instructions, and driving the converter station to perform flexible synchronous output. The application realizes real-time adaptive optimization of virtual inertia and damping parameters under weak power grid working conditions, and suppresses transient overshoot, oscillation and harmonics.

This invention relates to the field of photovoltaic power generation grid-connected control technology, specifically disclosing a virtual inertia grid-connected control method and system for photovoltaic power generation systems. The method includes: S1: Real-time detection of the grid connection frequency; S2: Calculation of the frequency deviation based on the grid connection frequency and the rated frequency; when the frequency deviation is less than the frequency drop threshold, a grid frequency drop is determined to have occurred, and a virtual inertia response is initiated; S3: Virtual inertia response is performed using closed-loop control based on short-time super-maximum power point active power enhancement; S4: After the virtual inertia response ends, the photovoltaic power generation system is controlled to seamlessly return to maximum power point tracking steady-state operation. This invention can quickly provide active inertia support without derated operation when the grid frequency drops, thereby improving the energy utilization rate of the photovoltaic system.

This invention discloses an active disturbance rejection energy feedback control method and system for a variable frequency drive motor, belonging to the field of motor drive control technology. The method includes: employing a virtual synchronous motor control strategy for the grid-side rectifier of the back-to-back inverter to provide virtual inertia and damping to the power grid; employing vector control for the motor-side inverter; establishing a small-signal model of the system; and adaptively tuning the virtual inertia and damping parameters based on the model response characteristics and DC voltage constraints to achieve active disturbance rejection energy feedback during regenerative braking. The system includes: a back-to-back inverter, a grid-side rectifier controller, a motor-side inverter controller, and a parameter tuning module, which work together to implement the above method. This invention effectively suppresses the impact of feedback power on the power grid, fully utilizes the buffering capacity of the DC capacitor, and achieves efficient energy feedback while ensuring DC voltage stability, thereby improving the overall energy efficiency and operational safety of the system.

The present application relates to a kind of independent microgrid virtual inertia optimal configuration method, device, equipment and medium, wherein method includes independent microgrid optimal inertia configuration part and fast frequency index evaluation part;The independent microgrid optimal inertia configuration part is with renewable energy load shedding, energy storage charge-discharge capacity and related parameters as optimization variable, constructs the virtual inertia optimization configuration model considering independent microgrid transient frequency nonlinear constraint, solves the virtual inertia optimization configuration model, obtains independent microgrid optimal inertia configuration scheme;Fast frequency index evaluation part is to the frequency dynamic response model of independent microgrid is Latin hypercube sampling, obtains the associated parameter of influence frequency dynamic response, then fitting associated parameter and the relationship function of independent microgrid maximum frequency change rate and frequency minimum point, to quickly evaluate frequency index.The present application can realize independent microgrid inertia configuration cost optimization under the constraint of system frequency stability.

The application discloses a kind of energy storage inverter control parameter setting method for frequency modulation, it is related to power system frequency modulation technical field, it can solve the problems of static, poor cooperation, real-time deficiency and not considering energy storage constraint in existing energy storage inverter control parameter setting.The present application comprises: the basic range of virtual inertia coefficient, damping coefficient and droop coefficient is calibrated based on engineering constraint;With minimizing frequency deviation peak value, minimizing power oscillation amplitude and maximizing energy storage utilization efficiency as optimization goal, output power model is constructed and initial parameters are solved;Real-time data is collected to identify disturbance type and intensity, and control parameters are dynamically adjusted according to the difference correction strategy of load mutation disturbance or new energy fluctuation disturbance;Establish a verification index system, and ensure the effectiveness of parameters through closed-loop feedback adjustment.The present application realizes the dynamic matching of control parameters, system frequency modulation demand and energy storage operating state.

The application discloses a power grid frequency safety optimization method, device, equipment and medium. By quantifying physical inertia and virtual inertia uniformly and realizing dynamic partitioning based on electrical distance, accurate identification and quantitative evaluation of inertia void in the power grid are realized. Further, the minimum inertia demand of the partition is introduced into the power market clearing model as a rigid safety constraint, allowing new energy to participate in market bidding as a virtual inertia service provider, and through the optimization of joint decision of power and inertia resources, the resource allocation scheme with the lowest total social cost is automatically generated on the premise of ensuring frequency safety, realizing the coordinated optimization of safety and economy. Finally, the marginal price of inertia resources is extracted from the optimization model, and a node inertia scarcity index is further constructed, which is converted into an intuitive economic signal and frequency safety warning, thereby systematically improving the stability and power supply reliability of power grid operation.

The application discloses a network type converter optimization control method suitable for high-efficiency energy storage of a liquid flow battery, the method introduces a deep reinforcement learning algorithm to optimize PI control parameters of the converter on the basis of taking into account real-time evaluation of the SOC of the liquid flow battery, and gives a PI control parameter design criterion suitable for a PCC current change rate; in order to effectively improve the response speed of the output damping of the converter and improve the stability thereof, the obtained PI control parameters are used for optimization control of virtual inertia of the converter, and the high efficiency of the converter energy storage system in inhibiting random power fluctuation of the PCC is verified accordingly. The deep reinforcement learning algorithm is applied to the optimization control of the network type converter, the dynamic performance index of the converter is improved through PI parameter optimization, and on the premise of taking into account system stability, the network type converter can quickly respond to disturbance change to inhibit disturbance impact of the PCC, and the application of the long-time energy storage technology of the liquid flow battery in the new energy field is promoted.

The application provides a flexible polymer virtual inertia frequency modulation control method and electronic equipment, and relates to the technical field of new energy auxiliary frequency modulation. The method comprises the following steps: establishing a heterogeneous energy collaborative frequency modulation system model considering system frequency deviation, operation state and dynamic constraints of each heterogeneous energy unit in the flexible polymer, and linearizing the model into a state space model suitable for model predictive control; constructing a system frequency prediction function for minimizing frequency deviation and control cost, and solving system frequency information at the next moment through model predictive control rolling optimization; according to the solved system frequency information, fusing system frequency change rate and unit state information, and dynamically adjusting the virtual inertia control coefficient of each unit in the flexible polymer; in the frequency recovery stage, taking the pre-generated virtual inertia response stage switching time as the control locking condition, and closing the virtual inertia controller of part or all units. The application can improve the dynamic response and steady-state recovery performance of the power system frequency.

The application provides an online evaluation method and system for new energy virtual inertia, comprising: collecting operation data in a new energy station; obtaining virtual inertia according to a physical model of rotational inertia of the collected operation data, and obtaining each index by substituting the operation data into a calculation method of an evaluation index system of new energy virtual inertia; and evaluating the new energy station based on each index; the application can accurately monitor, evaluate and count the virtual inertia level and change trend of the new energy power supply and energy storage station, and provides an effective technical means for dispatching operation personnel to master the inertia support capacity of the new energy and energy storage station in real time.

This invention provides a control method and system for PLC virtual inertia dynamic simulation. First, outliers are removed from the raw power grid frequency measurements. Then, using a discrete state observer, a simplified dynamic model of the power grid frequency is established, and state estimation is actively performed based on the model and noisy measurements. This simultaneously obtains smooth and real-time estimated angular frequency and estimated rate of change of angular frequency, fundamentally avoiding the problem of direct differential amplification of noise and overcoming the response delay caused by traditional filters. This significantly enhances the frequency support capability and dynamic stability of the power grid, ensuring the safe and reliable operation of the power system.

This invention relates to the field of frequency control technology for new energy systems, and particularly to a method and system for online identification and evaluation of virtual primary frequency regulation for wind and solar turbine units. The method includes: determining the steady-state output power benchmark, maximum available power, and reserve capacity of the doubly-fed induction generator (DFIG) and photovoltaic (PV) units; collecting frequency data and active power data at the grid connection point and preprocessing them to obtain time-series data; dividing the time-series data into stages, and identifying the actual effective parameters corresponding to the virtual primary frequency regulation control components online during the steady-state frequency regulation stage; identifying the actual effective parameters corresponding to the virtual inertial control components online during the transient inertial stage; and evaluating the validity of the parameters based on the actual effective parameters, reserve capacity, and controller preset parameters to determine whether the DFIG and PV units have entered a power saturation state. This invention effectively solves the problem that existing new energy units easily enter a power saturation state under large disturbance conditions, causing theoretical control parameters to fail to reflect actual frequency regulation capabilities.

The application discloses a kind of micro-grid system's network type inverter adaptive control method and system, belong to micro-grid operation control technical field, method includes: obtaining the transient security analytical constraint condition when micro-grid system endures big disturbance;Build the upper agent optimization model with the objective function of minimizing the virtual inertia and virtual damping of network type inverter, and after solving current optimal control parameter is input to lower full-order system verification model and is carried out dynamic simulation evaluation, whether micro-grid system meets preset safety condition is judged: if meet, then output final optimal control parameter, otherwise, then according to simulation data updates transient security analytical constraint condition, and is solved again to upper agent optimization model, until preset safety condition is met.The application can effectively isolate the prediction error caused by simplified model, realize the online adaptive correction and optimal configuration of control parameter, improve the response stability and rapidity of micro-grid system.

The application relates to the technical field of power grid frequency modulation, and discloses a power grid frequency modulation real-time analysis method and system. The method comprises the following steps: a power grid frequency modulation real-time analysis method comprises the following steps: constructing a virtual inertia coefficient and a droop coefficient parallel structure to process a frequency disturbance signal; calculating a frequency change rate threshold according to load disturbance and power change of a thermal power unit; obtaining a frequency control interval identifier through double-interval comparison and discrimination; dynamically adjusting energy storage power output through a proportional-integral control algorithm; and obtaining a frequency modulation analysis result through closed-loop feedback calculation of a frequency deviation root mean square error and energy storage cycle equivalent. The application solves the problems of missing frequency change rate and frequency deviation collaborative discrimination and fixed frequency modulation strategy that cannot be adaptively adjusted in the existing energy storage frequency modulation technology.

This invention relates to a hybrid energy storage railway power regulator technology under a virtual motor control system. It introduces a virtual inertial element into the current compensation strategy of the railway power regulator and employs virtual DC motor control in the hybrid energy storage system. Power quality is managed through the railway power regulator, and regenerative braking energy is recovered and utilized by connecting to the hybrid energy storage device. A segmented adaptive power allocation strategy based on the filtering time constant of the energy storage unit's state of charge and a dynamic adjustment strategy for limited power within the hybrid energy storage system are adopted. By adjusting the filtering time constant, "shallow charging and discharging" of the battery is ensured, with the supercapacitor handling the remaining power after the battery bears part of the load. A virtual inertial element is introduced to provide inertial support compared to the traditional control of railway power regulators, and virtual DC motor control is used for the hybrid energy storage system. This results in frequency stability under load fluctuations, as well as better dynamic performance and anti-interference capabilities.

The application discloses a virtual synchronous machine grid-connected control method based on fractional order lead filter correction, which is obtained by reconstructing a traditional virtual synchronous machine rotor motion equation, namely, replacing an integer order virtual inertia link with a fractional order virtual inertia link, and additionally adding two control degrees of freedom, namely, active power feedforward compensation parameters and forward channel proportional correction parameters, to form the virtual synchronous machine grid-connected control method based on the fractional order lead filter correction, so as to improve the response performance of active power and output frequency of the virtual synchronous machine grid-connected system, effectively solve the dynamic oscillation problem of the active power and output frequency of the traditional virtual synchronous machine grid-connected system under internal active power instructions, external grid frequency and other disturbances, shorten the adjustment time of the active power and output frequency and reduce the overshoot of the active power, and be applicable to the field of virtual synchronous machine grid-connected control in power electronic technology.

This invention relates to the field of grid-connected technology for medium-frequency grid-connected wind turbines, and particularly to a multi-objective optimization method for the control parameters of the grid-side converter of a medium-frequency grid-connected wind turbine. The method includes: determining the grid-connected model of the grid-side converter of the medium-frequency grid-connected wind turbine, and calculating the range of virtual inertia and virtual damping; establishing a multi-objective optimization function with the optimization objectives of minimizing the overshoot of the power response of the grid-side converter, minimizing the maximum frequency fluctuation of the frequency response, and maximizing the damping ratio of the dominant oscillation mode; constructing a multi-objective optimization model using the parameter combination of virtual inertia and virtual damping as population parameters and the multi-objective optimization function as the applicability function; and solving the multi-objective optimization model using a particle swarm optimization algorithm to obtain the optimal solution for the parameter combination of virtual inertia and virtual damping. This method can improve the control parameters of the grid-side converter, thereby achieving better stability, and can also serve as an initial value selection method for adaptive control.

The application relates to a charging pile control method and device and computer equipment, the method comprises the following steps: acquiring current frequency information of a grid-connected point of a charging pile, acquiring static virtual inertia parameters and static virtual damping parameters of the charging pile, then determining an inertia adjustment amount and a damping adjustment amount of the charging pile according to the frequency information, the static virtual inertia parameters and the static virtual damping parameters, adjusting the virtual inertia parameters of the charging pile according to the inertia adjustment amount to obtain target virtual inertia parameters, adjusting the virtual damping parameters of the charging pile according to the damping adjustment amount to obtain target virtual damping parameters, finally generating a driving control signal of the charging pile according to the target virtual inertia parameters and the target virtual damping parameters, and controlling the charging pile to work according to the driving control signal. In the above method, the static parameters are dynamically corrected by introducing the inertia adjustment amount and the damping adjustment amount, and the adaptability of the charging pile to different operating conditions is improved.

This application discloses a method and system for suppressing broadband oscillations in photovoltaic grid-connected systems. First, the operating parameters of the photovoltaic grid-connected system within a first time period are acquired. Then, based on the operating parameters, a broadband oscillation detection result is generated. The broadband oscillation detection result indicates whether broadband oscillations exist in the photovoltaic grid-connected system within the first time period. Finally, in response to the presence of broadband oscillations in the photovoltaic grid-connected system within the first time period, a suppression strategy is executed. The suppression strategy includes at least one of the following strategies: an adaptive virtual inertia damping control strategy and a virtual impedance strategy based on wide-area measurement. This application can effectively suppress broadband oscillations in photovoltaic grid-connected systems, ensuring the safe, stable, and economical operation of the power grid.

This invention discloses a GFM-VSG system suitable for grid-type virtual synchronous machines, relating to the fields of power electronics and new energy power generation technology. The system aims to solve problems such as inaccurate stability assessment and unclear oscillation propagation mechanisms in grid-type virtual synchronous machines (VSGs) under weak grid conditions due to grid strength disturbances and internal coupling effects. The system constructs a unified frequency-voltage coupling model, introduces a virtual inertia and damping dynamic response calculation module, derives the coupling transfer function set using small-signal linearization methods, and defines the propagation gain M. X ᵧ serves as a quantitative criterion for oscillation propagation effects, forming a complete stability analysis framework. This system can quantitatively assess the impact of grid intensity disturbances on the output electrical quantities of the VSG, accurately identify the main risk sources of oscillation propagation, and provide a theoretical basis for the optimal design of controller parameters.

This invention discloses a frequency regulation device with frequency event crossover and seamless grid connection / off-grid switching capabilities. This invention relates to the field of power grid technology. It involves real-time monitoring of the main grid frequency, constructing a frequency sequence, calculating the rate of change, plotting a frequency change rate fluctuation curve, and locking the crossover trigger point based on real-time frequency values. A tiered off-grid control strategy is employed, recording the voltage amplitude, frequency, and phase parameters at the grid connection point in real time, and assessing the severity level of the event. When the event reaches the first severity level, the droop coefficient is dynamically increased through an adaptive gain coefficient, and a virtual inertia is introduced to execute a feedback response, achieving dynamic adjustment of the power command. When the event reaches the second severity level, the solid-state switch is immediately disconnected, and the inverter is switched to a locked output state. After completing the off-grid transition, the main grid stability index is continuously assessed. By gradually adjusting the microgrid voltage amplitude, frequency, and phase to synchronize with the main grid, seamless secondary grid connection is ultimately achieved.

This invention relates to the field of negative pressure control technology, and proposes a collaborative control method and system for negative pressure systems based on modular assembly. The method includes: adjacent nodes in a negative pressure pipeline network engaging in handshake communication, and determining the influence coefficient of each node based on the flow relationship between the nodes after communication; predicting the pressure fluctuation curves of neighboring nodes based on the action intentions of all neighboring nodes around the current node, and weighting and superimposing the influence coefficients according to the pressure fluctuation curves to obtain the feedforward compensation signal of the current node; performing virtual inertia before the feedforward compensation signal is superimposed on the current node; and compensating the current node according to the corrected collaborative control quantity. This invention can improve the efficiency of collaborative control of a negative pressure system based on modular assembly.

The application provides a kind of network or follow network type wind power station fast frequency response parameter joint scheduling method, belongs to wind power technical field. Specifically includes the following steps: S1. the coupling model construction of station energy or power reserve and fast frequency response parameter;S2. the system frequency space-time response model construction based on structure reservation model;S3. the discrete solution of system dynamic model based on collocation method;S4. the objective function and constraint condition construction of joint scheduling model. The application constructs the quantitative mapping relationship between wind speed, rotor speed and virtual inertia, damping coefficient of fan, solves the problem that parameter configuration of traditional method may cause fan off-grid. The frequency space-time dynamic model discretization processing technology based on collocation method realizes the accurate description of local frequency safety. A kind of multivariable joint scheduling framework is proposed, which breaks the limitation of traditional scheduling only focusing on power distribution.

This application provides a method and system for the operation and management of energy storage systems for power quality fusion assessment. The method involves frequency domain decoupling of voltage and current time-series signals to obtain multiple frequency sub-band components; extracting features from all frequency sub-band components to obtain a deep feature map; determining the type label of composite power quality disturbances and the attention weight vector of all frequency sub-bands based on the deep feature map; determining the dominant constraints based on the type labels; determining the frequency band weighting coefficients of each constraint item based on the attention weight vectors; prioritizing the frequency band weighting coefficients through the dominant constraints to obtain a set of modulated weighting coefficients; and determining the virtual inertia and power factor angle based on the set of weighting coefficients to perform power quality compensation on the power grid. Based on this scheme, the frequency domain decoupling characteristics of composite power quality disturbances can be introduced into the dynamic weighted fusion process of energy storage control parameters to achieve constraint priority modulation and adaptive compensation under disturbance scenario perception.

The application relates to the technical field of new energy power generation transient stability parameter design, and discloses a parameter design method for transient stability improvement under asymmetric fault of grid-connected type converter, which comprises the following steps: calculating a virtual inertia lower limit based on a maximum frequency change rate constraint; solving a transient synchronous stability boundary based on a transient synchronous stability constraint; and obtaining a parameter feasible region that simultaneously satisfies the maximum frequency change rate constraint and the transient synchronous stability constraint. According to the application, the parameter feasible region of damping and inertia is depicted on the basis of considering the frequency change rate constraint and the transient synchronous stability constraint; and the parameter design method can be used for parameter design of the grid-connected type converter under asymmetric fault for the purpose of transient stability improvement.

This invention proposes a photovoltaic virtual synchronous generator frequency and voltage regulation method and system based on adaptive control, belonging to the field of photovoltaic power plant grid-connected power generation technology. It aims to achieve coordinated control between maximum power point tracking (MPPT) and grid-connected frequency and voltage regulation in the photovoltaic system. By integrating MPPT control and VSG control into a unified control framework and introducing an adaptive adjustment mechanism based on multi-source information such as solar illumination, grid status, and load disturbances, key control parameters such as virtual inertia and damping coefficient are dynamically adjusted. This balances energy utilization efficiency and system stability, improving the system's dynamic response capability and grid-friendliness under complex operating environments.

This invention discloses a method for calculating the virtual inertia of a photovoltaic-storage system based on a virtual synchronous machine, belonging to the field of new energy power generation technology. Addressing the complex frequency response characteristics of photovoltaic-storage systems based on virtual synchronous machines, this invention first constructs per-unit power balance equations for both grid-connected and off-grid modes. Based on this, it constructs frequency response transfer function models for both grid-connected and off-grid modes. Then, it derives analytical expressions for system frequency changes and calculates key frequency response indicators. This invention can quantitatively reveal the virtual inertia J. vsg and virtual damping coefficient D vsg The quantitative relationship between control parameters and these key performance indicators helps guide the optimal design of VSG controller parameters and the precise and rational scheduling of power in photovoltaic energy storage systems.

Abstract A bidirectional electric vehicle (EV) charger that incorporates blockchain, smart load, and network stabiliser functionalities. The charger can both charge EVs and discharge energy back to the grid during unstable periods. The invention uses measurement of voltage and frequency to detect disturbances, fast home load management for smart load shedding (i.e. adjusting energy consumption based on grid conditions to enhance grid stability), and blockchain technology for secure energy trading between EV owners and grid operators. 12 / 13 BRIEF DESCRIPTION OF THE DRAWINGS Figure-1 shows that how the overall view of the offered invented system. Figure-2 shows the charger’s flowchart of the different mode of operation 12 / 13 BRIEF DESCRIPTION OF THE DRAWINGS Home Solar generation can't be used when grid is off It needs reference and the invented charger can do it. Electric Vehicle Block-Chain Based Smart EV-Charger as a Network Stabilizer - Generate virtual Inertia V2G mode - Use Blockchain base Smart Contracts - Disconnect from the network and using V2H mode - Support as smart load - Using the modern protection scheme to detect grid instability - Support home's solar generation in case of grid outage - Grantee the money back to EV owners in case of grid support Figure-1 shows that how the overall view of the offered invented system. Invented Charger's mode of operation Block-Chain Based Smart EV-Charger as a Network Stabilizer Mode A Mode Mode C Grid support Smart Load Standalone power source Grid unstabale Grid unstabale Independent Detected Detected Power Needed Isolate from Grid Isolate from Grid Direct injecting power to the grid based on the AS4777.2 and utility requirements Smart Load mode, by disconnecting the home loads EV owner can energize from the grid and start supply the home and use the Blockchain Garantee payment and managing the home loads Solar generation in case of grid outage. Off grid camping as Blockchain Garantee payment another example. Blockchain Payment Blockchain Payment Return to Mormal Condition Return to Mormal Condition Figure-2 shows the charger's flowchart of the different mode of operation 20 24 28 71 38 22 D ec 2 02 4 H o m e 2 0 2 4 2 8 7 1 3 8 2 2 D e c 2 0 2 4 M o d e A M o d e B M o d e c S t a n d a l o n e p o w e r s o u r c e G r i d u n s t a b a l e D e t e c t e d D e t e c t e d P o w e r N e e d e d B l o c k c h a i n P a y m e n t B l o c k c h a i n P a y m e n t R e t u r n t o M o r m a l