1713 results about "Electric network" patented technology

The invention relates to a virtual power plant optimization operation method and system based on data center shared energy storage and load space-time migration, and the method comprises the steps: quantifying the electric energy utilization efficiency of a data center according to the power consumption of IT equipment, the power consumption of refrigeration equipment and the power consumption of other auxiliary equipment in a data center power consumption model; in the load space-time migration model, delay processing time calculation is carried out on batch processing loads, and the load migration amount across the data centers is calculated among the data centers; dynamically distributing the energy storage capacity of each data center in the shared energy storage model, and sharing the energy storage investment cost by adopting a Shapley value; in the double-layer optimization model, the upper-layer model generates an electricity price signal and a demand response instruction according to the wind and light output prediction data, the real-time electricity price of the power grid and the initial load demand of each data center, and transmits the electricity price signal and the demand response instruction to the lower-layer model; and the lower-layer model feeds back the obtained data center response and the electrical load to the upper-layer model. Compared with the prior art, the method has the advantages of high collaboration, high efficiency, high consumption and the like.

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 micro-grid control method, a program product and a readable storage medium. The micro-grid control method comprises the following steps: acquiring operation data of a micro-grid and each piece of network-forming equipment thereof, and environment data of an environment where the micro-grid is located; performing multi-source feature fusion processing on the collected operation data and environment data, and predicting the energy output, load demand and power fluctuation amplitude of the microgrid in a future preset time period based on the fused features; based on the prediction result and the current state of each piece of network construction type equipment, optimizing the voltage parameter and the frequency parameter of each piece of network construction type equipment; and issuing the optimized voltage parameters and frequency parameters serving as parameter adjustment instructions to the corresponding network construction type devices, so that the network construction type devices operate based on the issued parameter adjustment instructions. The method has the advantages that the voltage parameter and the frequency parameter of each piece of network construction equipment can be optimized, and a key foundation is laid for stable and efficient operation of the micro-grid.

The invention discloses a cooperative parameter optimizing and setting method and system for a network construction type reactive power compensation device, terminal equipment and a storage medium, and belongs to the field of power system control. The method comprises the steps of obtaining operation condition data and a power flow initial value of a power grid region where a reactive power compensation device to be set is located, constructing a discretization state space model, calculating a damping ratio according to a calculated system characteristic root, and determining a dominant oscillation mode; respectively changing the installed capacity, configuration points and control parameters of the reactive power compensation device to be set in a preset step length, and generating a characteristic root moving track; the installed capacity, the configuration points and the control parameters are continuously optimized based on the feature root moving trajectory until the preset stabilization capability index is larger than 0 and the optimized feature root real part is smaller than 0, the optimal installed capacity, the optimal configuration points and the optimal control parameters of the to-be-set reactive power compensation device are obtained, the to-be-set reactive power compensation device is adjusted, and the to-be-set reactive power compensation device is adjusted. According to the invention, the problem of lack of cross-band parameter setting in the prior art is solved.

The invention belongs to the technical field of power load prediction and artificial intelligence, and provides a microgrid short-term load prediction method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the preprocessing of historical operation data, and obtaining training data; embedding the electric power feature as a physical prior feature vector into an LSTM neural network to obtain a physical embedded vector, and fusing the training data with the physical embedded vector; pre-training the fusion sequence by using an LSTM neural network to obtain a first physical constraint LSTM model; a Wasserstein GAN is used to generate a confrontation framework for joint training, and a second physical constraint LSTM model is obtained; freezing a discriminator of the second physical constraint LSTM model and performing joint training to obtain a micro-grid short-term load prediction model and predict the real-time operation data to obtain a short-term load prediction result. The short-term load prediction accuracy of the micro-grid can be improved.

The invention discloses a rapid communication and redundancy control method for an AGC substation of a distributed photovoltaic power station, and the method comprises the following steps: S1, receiving an automatic power generation control instruction from a power grid dispatching system in parallel and uploading real-time operation data of the photovoltaic power station through two independent communication links; according to the invention, the reliability and robustness of the system are fundamentally improved; by constructing a physical basis of parallel work of two paths of independent communication links and combining real-time state monitoring and a millisecond-level rapid switching mechanism, the method thoroughly changes the fragile situation that the whole substation is disconnected and the function is paralyzed due to a single communication channel or a power supply fault of a traditional system; when the main optical fiber link is interrupted due to construction damage or equipment failure, the system can automatically and seamlessly switch all communication services to the standby Ethernet or wireless link without depending on manual intervention, and it is ensured that the transmission path of the scheduling control instruction is always smooth.

The invention belongs to the technical field of quality detection, and discloses an electrical automation quality detection method and system. The method comprises the steps of collecting original voltage and current signals of a PCC point of a power grid and performing FFT to obtain a background harmonic frequency set and a background harmonic amplitude set; generating an initial frequency grid based on a preset target frequency band, and generating a sparse frequency grid in combination with the background harmonic waves; calculating the estimated signal-to-noise ratio of each candidate frequency, performing ascending sorting to obtain an injection sequence, injecting sinusoidal signals, collecting PCC point voltage response and total current, and calculating a frequency impedance data pair; performing rational function fitting based on the frequency impedance data to obtain a broadband impedance curve; analyzing the curve, extracting quality characteristic parameters, and performing quality judgment according to the parameters; according to the method, the technical problem that the grid-connected stability quality of a single new energy converter cannot be quickly and automatically qualified in a production line offline detection scene in the prior art is effectively solved.

The invention discloses an electric power system multi-source forced oscillation positioning method based on a graph attention network and variational mode decomposition. The method comprises the following steps: acquiring power grid topology data of a target electric power system and attribute data of each node; inputting the power grid topology data and the attribute data of each node into a pre-trained target network model, wherein the topology perception space decoupling network processes the power grid topology data and the attribute data of each node and outputs the energy contribution degree of each node; the frequency domain time decoupling network processes the attribute data of each node and the corresponding energy contribution degree and outputs a synchronous machine component and a fan component; and the physical constraint oscillation classification network processes the synchronous machine component and the fan component and outputs a multi-source forced oscillation positioning result. According to the invention, the modeling of the electrical connection relation between the power grid nodes is realized through the topology perception space decoupling network, and the decoupling of the synchronous machine and the fan component is realized through the frequency domain time decoupling network, so that the precision of oscillation source space positioning is improved.

The invention relates to the technical field of radio frequency power matching, and discloses a direct-current radio frequency hybrid high-power network matching optimization method. The method comprises the following steps: collecting current fluctuation data of a direct-current power supply module and power reflection data of a radio-frequency emission module, and generating a hybrid network impedance characteristic set; calling a power grid topology analysis engine to analyze the set to obtain an impedance track characteristic matrix; performing dynamic trajectory optimization on the matrix based on a preset frequency domain stability constraint rule to generate corrected impedance trajectory distribution; fusing the corrected track distribution and the radio frequency load dynamic response data, and constructing multi-band matching topological feature representation; performing parameter decoupling on the topological feature representation through a nonlinear matching mapping engine to generate an optimal matching parameter configuration table; and finally adjusting the voltage stabilization coefficient of the DC power supply module and the tuning capacitance value of the radio frequency emission module according to the configuration table. According to the method, efficient matching optimization of the hybrid network is realized, and the stability and adaptability of system operation are improved.

The invention belongs to the technical field of power system operation and motors, and particularly relates to an energy storage type phase modifier control method which comprises the steps that a rotating shaft of a double-fed motor is connected with a flywheel to serve as an energy storage type phase modifier; the rotor winding is connected to a power grid through an excitation system and a transformer in sequence, and the excitation system is electrically connected by a reactor, a back-to-back converter and a filter in sequence; the stator winding is directly connected to a power grid; the control system decouples reactive power and active power, vector control is carried out on exciting current to absorb or release power, and reactive power-voltage support and active power-frequency support of the power grid are completed. The method overcomes the defects that a traditional direct-current excitation phase modulation mode can only modulate phase and cannot modulate frequency, or is cumbersome and slow in response. The system can meet the requirement of wide-range variable-speed operation, quickly store / release a large amount of rotor kinetic energy, inhibit the voltage and frequency fluctuation of a power grid, and is especially suitable for stations with high new energy occupation ratio. The invention also provides a non-transitory readable recording medium storing the program of the method and a system comprising the medium, and the program can be called through a processing circuit to execute the method.

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 provides a V2G service-oriented multi-granularity data on-demand sharing security aggregation method, and relates to the technical field of data security. The method comprises the following steps: acquiring multi-dimensional and multi-granularity power utilization data interacted between an electric vehicle and a power grid, and obtaining compressed data of each dimension based on super-incremental sequence compression; summing and aggregating the compressed data in the jurisdiction of the charging station, and obtaining an encrypted aggregation result by adopting Paillier homomorphic encryption; when a user accesses, a request is verified through an access authorization judgment function constructed by an RBAC model, and ciphertext aggregation (homomorphic addition is executed on global data, and differential ciphertext operation is executed on single-pile data to construct single-pile encrypted data) is executed as required after verification is passed; a complete decryption result is obtained through collaborative decryption by adopting a threshold decryption mechanism, and then target power consumption data is obtained through super-incremental sequence decoding. According to the method, on-demand access of multi-granularity data is realized, transmission overhead is reduced, data leakage and unauthorized access are completely eradicated through double guarantee of permission and encryption, and V2G multi-scene requirements are met.

A control system for a direct current (DC) microgrid is described. The control system includes a DC bus with a positive bus line and a negative bus line, DC battery circuits with a positive coupler connected to the positive bus line and a negative coupler connected to the negative bus line, switches including a control input terminal located in each DC battery circuit, a distributed generator circuit connected to the DC bus, a constant load power circuit connected to the DC bus, a computing device connected to each control input terminal, the DC bus, the distributed generator circuit and the constant load power circuit. The computing device includes an electric circuitry, a memory, and at least one processor to determine a DC bus voltage, determine the SoC of the DC battery circuits, generate PWM signals that control the DC bus voltage, and balance the SoC of the DC battery circuits.

The invention discloses a self-adaptive coordination dynamic voltage control method and system based on a micro-grid, and relates to the field of micro-grid self-adaptive coordination dynamic voltage control. In order to solve the defects that an existing micro-grid model cannot adapt to complex disturbance and dynamic load and cannot accurately reflect the actual network state when regulating and controlling the dynamic voltage of the micro-grid, the current operation mode of the micro-grid is analyzed; when the synchronization error is smaller than the tolerance, the PCC is closed and switched to a grid-connected operation mode; if the current large power grid is normal, the grid-connected operation mode is maintained; if the current large power grid is abnormal, starting island detection and judging that the current microgrid is in an off-grid operation mode; executing a corresponding grid-connected control strategy, an off-grid control strategy or a switching pre-control strategy according to the voltage value; and when the execution of the current control strategy is detected to be abnormal, automatically terminating the execution of the current control strategy, rolling back to the previous safe state, and starting a standby plan at the same time. The method is mainly used for carrying out adaptive coordination dynamic control on the output voltage of the micro-grid.

The invention discloses a VSG transient stability control method based on PSS power angle compensation and integral reactive loop cooperation, and the method comprises the steps: constructing an improved rotor motion equation compensation mechanism based on a power system stabilizer, and based on the dynamic parameters of the voltages vabc and pcc at a PCC point and the currents iabc and pcc flowing into the PCC point which are collected in real time, carrying out the compensation of the current iabc and pcc at the PCC point under the condition that the working condition is that the voltage of a power grid drops greatly. The dynamic characteristic of active power is ensured; constructing a PSS parameter optimization method based on zero point position constraint; an integral link is embedded in the traditional voltage-reactive droop characteristic, integral reactive loop control is constructed, and steady-state voltage deviation is eliminated; the output compensation power angle delta and the output voltage amplitude E are cooperatively applied and converted into dq-axis voltage components Ed and Eq, the dq-axis voltage components Ed and Eq are sent to a voltage and current double closed loop, a driving signal is generated through SVPWM, and the stability of the system is enhanced.

The invention relates to the technical field of new energy grid-connected control, in particular to a fault stage transient stability analysis method and system for a following-constructed network type converter series-parallel system, and the method comprises the steps: enabling a constructed network type converter to be equivalent to a controlled voltage source series impedance, enabling a following network type converter to be equivalent to a controlled current source, and enabling the controlled current source to be equivalent to a controlled voltage source series impedance; the whole series-parallel system is equivalent to a scene in which double voltage sources and a single current source are jointly connected in parallel to a PCC point, and a series-parallel system model is constructed; according to the series-parallel system model, respectively representing an active power coupling term of the network-building type converter and a voltage coupling term of the network-following type converter under the condition of considering parallel connection of the network-following type converter and the network-building type converter; according to the coupling term, remodeling an active loop control structure of the network-constructing converter and a phase-locked loop synchronization structure of the network-following converter, and obtaining a transient analysis model of the series-parallel system considering the coupling term; the transient stability of the hybrid system in the power grid fault stage is analyzed through the transient analysis model, and the influence on the transient stability is effectively represented.

The invention provides an electric power computing network multi-dimensional resource scheduling method, device and platform and a storage medium, and belongs to the technical field of electric power computing power networks, and the method comprises the steps: obtaining the request information of a current service terminal and the computing power resource information of a cloud side computing node; determining an end-to-end time delay constraint, a cloud edge computing power resource constraint and a cloud edge end network bandwidth constraint of the intelligent server; according to the cloud edge computing power unit price and the network bandwidth unit price, determining an objective function of computing network multi-dimensional resource scheduling optimization by taking minimization of the network bandwidth and the cloud edge computing power overhead as an optimization objective; solving the plurality of scheduling constraint models to obtain an optimal solution; and outputting a computing network multi-dimensional resource scheduling strategy according to the optimal solution. According to the method, under the condition that different computing network resource service quality requirements of multiple services are considered, by dynamically deploying multi-dimensional resources such as network bandwidth, cloud computing power and edge computing power, the low response delay requirements of key services such as environmental risks and equipment faults in power grid operation are effectively met, and meanwhile it is ensured that the computing network resource consumption economical efficiency is optimal.

A system, a method, and / or a computer program for mounting a cable device on an electric cable of an electric grid, and dismounting therefrom, the mounting device including a first coupling part arranged to attach the mounting device to a flying vehicle, a second coupling part arranged to attach the cable device to the mounting device, and a navigation part operative to enable a user to navigate the flying vehicle so as to direct a slot of the cable device to the electric cable, and / or automatically navigate the flying vehicle to direct the slot of the cable device to the electric cable, and / or enable a user to navigate the flying vehicle to the cable device, and / or automatically navigate the flying vehicle to the cable device.

The invention belongs to the technical field of community power distribution network dispatching, and particularly relates to a community power distribution network and emergency energy storage vehicle joint distributed optimization method, which comprises the following steps of S1, dividing an original topological structure of a community power distribution network into a plurality of mutually independent sub-regions by adopting a robust self-adaptive partitioning algorithm; s2, for each sub-region, constructing a corresponding reactive power optimization model by taking minimization of network loss, voltage deviation and emergency energy storage vehicle operation cost as targets; s3, adopting an improved ADMM algorithm to carry out joint scheduling optimization solution; the improvement comprises setting the penalty parameter as a penalty parameter which is dynamically adjusted according to a preset rule and a residual error; and S4, scheduling the community power grid system and the emergency energy storage vehicle by using the joint optimization scheme obtained in the step S3. According to the method, on the premise that the voltage stability of the community power distribution network is guaranteed, efficient scheduling of the emergency energy storage vehicles is achieved, and joint optimization of voltage control of the community power distribution network and scheduling of the emergency energy storage vehicles is achieved.

The invention discloses a coordination control method and related equipment for a network-construction-type flexible direct current converter station. The method comprises the following steps: firstly, determining the maximum capacitive reactive power capacity of the network-construction-type flexible direct current converter station; simulating a fault through time domain simulation, and calculating dynamic reactive power required for guaranteeing the stability of the transient voltage of the hub bus; selecting a parallel capacitor bank close to a grid-connected point to form a collaborative resource set, and initializing and distributing the input capacity of the collaborative resource set; taking the flexible direct current reference voltage, the active power and the capacitor input capacity as boundaries, taking maximization of a static voltage stability index as a target, executing continuous power flow optimization, calculating reactive power reserve capacity, and sending a control target after conditions are met. According to the invention, excessive consumption of flexible direct-current reactive power reserve is avoided by determining the capacity reference, and the dynamic reactive power demand is accurately calculated to ensure fault support; the cooperative capacitor bank supplements insufficient static resources and reduces flexible DC burden; through continuous power flow optimization, overall planning of steady-state and transient-state voltage stability is achieved, and the comprehensive supporting capacity of the network-constructing flexible direct current power supply to the voltage stability of the power grid is effectively improved.

The invention discloses a village island micro-grid virtual synchronous machine parameter optimization and cooperative control method oriented to frequency support, and relates to the technical field of electrical automation, and the method comprises the steps: obtaining village power distribution network parameters and load side parameters, and basic technical parameters of each virtual synchronous machine unit; constructing a standard dynamic model of the virtual synchronous machine based on the obtained parameters; introducing uncertainty integrated design on the basis of the standard dynamic model of the virtual synchronous machine, and performing equivalent aggregation on all the virtual synchronous machines to obtain a virtual synchronous machine uncertainty model; based on the uncertainty model of the virtual synchronous machine, establishing a cooperative control model by taking system frequency fluctuation minimization as a target; and solving the cooperative control model by using a commercial solver, and solving the power of each device. According to the invention, by constructing an optimization and cooperative control mechanism oriented to frequency support, the problem of over-limit of frequency deviation and frequency change rate is effectively suppressed, and the dynamic response capability of the island micro-grid under the condition of sudden load change is improved.

The invention discloses a micro-grid energy coordination control method considering communication topology dynamic change, which belongs to the technical field of electric energy control and management, and comprises the following steps: monitoring a communication connection state between control nodes, and generating a topology change event; evaluating energy supply capability and communication reliability and adjusting influence in energy coordination to generate adaptive weights; in combination with real-time sensor information and historical operation data, short-term energy prediction data is generated, in combination with adaptive weight, a global energy distribution consensus is achieved, and then an energy distribution decision is generated; in the execution process, the topology change event and the deviation between the short-term energy prediction data and the real-time energy data are monitored, and if a deviation threshold value is exceeded, an event signal is triggered to drive the control strategy to be updated. According to the method, the adaptive weight is generated by monitoring the communication topology and the energy state, and distributed negotiation and event triggering updating are performed in combination with short-term prediction, so that the energy coordination robustness and the operation stability of the micro-grid in a dynamic environment are improved.

The invention provides a power cooperative control method, device and system based on load removal and a medium. The method is applied to a micro-grid configuration flexible interconnection device for micro-grid fault protection. After the fault is positioned, a VSG low-voltage ride-through strategy is adopted to carry out current limiting, an importance quantification model is constructed for loads, and according to a real-time operation condition, a shearable load with the minimum influence on the system is screened to carry out priority removal; and dynamic power transmission adjustment of the flexible interconnection device is synchronously triggered, a micro-grid power flow path is reconstructed, and finally a fault is removed based on a current limiting and directional element protection method. According to the invention, system protection is realized by fusing intelligent load removal and flexible power adjustment, and the fault isolation speed and the stability of the microgrid system are effectively improved.

The invention discloses a network construction type virtual synchronous generator control method and device, a controller and a storage medium, and the method comprises the steps: determining an active power small signal increment according to an active power feedback value and an active power reference value, and obtaining an active power small signal correction according to a power angle small signal, and then the angular frequency compensation amount is determined according to the power small signal correction amount and the active power small signal increment, and the angular frequency compensation amount is used for compensating the angular frequency variable amount, which is equivalent to increasing the damping torque opposite to the oscillation trend, quickly consuming the oscillation energy and quickly returning the system to a steady state. The problem of underdamping of the virtual synchronous generator is solved, the probability of frequency oscillation when the inverter executes active adjustment is reduced, and the stability of a power grid is improved. Besides, transient vector feed-forward compensation is added in voltage loop control, so that the transient stability of network construction voltage and the response speed of the system are improved, and the problem that the response speed of the system is reduced due to damping increase is solved.

The invention is suitable for the technical field of smart power grids, and relates to a low-voltage transformer area undisturbed topology identification method and system, a medium and a terminal, and the method comprises the steps: S10, cleaning and screening original communication and measurement data; s20, the RSSI between the devices is converted into the distance between the nodes, and an undirected weighted graph is formed; s30, determining an affiliation relationship between the meter box and the electric meter by using a clustering algorithm; s40, performing constraint matching on the transformer, the line and the meter box node according to the power utilization information, and optimizing the topological structure by using the law of conservation of energy and the Kirchhoff's current law; and S50, evaluating the accuracy of the identification result by using the adjusted Lam index and the normalized mutual information. The method is simple in process and convenient to operate, a complete topological structure is constructed step by step on the premise of not adding extra hardware, uninterruptible power and not injecting characteristic signals by relying on electric power data of an existing intelligent electric meter, a communication signal and an electricity utilization information acquisition system, and high-precision and automatic identification of the topological structure of the transformer area is achieved.

The invention provides a system platform and method for checking adjustment characteristics of a control system based on semi-physical simulation, and belongs to the technical field of power system control equipment detection. The system comprises an all-digital real-time simulation system (ADPSS), a water turbine governor to be tested, a physical interface communication module, a wave recording device and a signal interaction module. A full-electromagnetic example model constructed based on PSASP is built in the ADPSS, a closed-loop detection environment is constructed through the physical interface communication module and a water turbine governor to be detected, bidirectional signal transmission is achieved through the signal interaction module, and key parameters are recorded through the wave recording device. The method comprises the steps of simulation environment establishment, signal interactive transmission, multi-dimensional detection and check and result judgment and output. According to the method, multi-dimensional checking of the speed regulator acquisition and display function, the transfer function consistency, the grid-connected performance and the like and power grid stability influence verification can be completed without field installation, the coverage scene is comprehensive, the checking precision is high, and the method is suitable for performance detection of different types of speed regulators and has remarkable practical value.

The invention discloses a frequency sweep measurement method and system. The method comprises the following steps: acquiring a fundamental frequency reference phase of each measured equipment access point at a measurement moment; executing rough scanning of the first-stage injection; analyzing the coarse scanning response data to identify a target frequency band which needs to be subjected to second preset resolution measurement; executing fine scanning of second-stage injection for the target frequency band; and analyzing the fine scanning response data, and obtaining a stability contribution evaluation result of each tested device to the power grid system based on an analysis result of the fine scanning response data and an analysis result of the coarse scanning response data. According to the scheme of the invention, the method can achieve the quick recognition of the potential key frequency region in a broadband range through the hierarchical rough scanning and fine scanning strategies, and avoids the time-consuming high-resolution measurement in a whole frequency band. And then, high-resolution fine scanning is performed on the identified target frequency bands in a targeted manner, so that accurate and detailed response data can be obtained in the key region.

The invention discloses an intelligent fusion terminal power quality monitoring evaluation data processing method and system. The method comprises the following steps: dividing a plurality of intelligent fusion terminals into consensus evaluation groups according to a power grid topological structure, and allocating reputation values to the terminals; and each terminal periodically measures the electric energy quality parameter and generates a prediction interval of the group consensus value in the current evaluation period. And then, according to the actual measurement value and the reputation value of each terminal, a group consensus value is determined by calculating a weighted cumulative weight. And dynamically adjusting the reputation value of each terminal by comparing the group consensus value with the prediction interval of each terminal. And finally, outputting the group consensus value and the updated reputation value, and generating an electric energy quality comprehensive evaluation result based on the group consensus value. Meanwhile, each terminal adaptively updates a measurement error compensation model in the terminal according to the deviation between a self-measurement value and a group consensus value. According to the invention, the credibility of the power quality monitoring data and the accuracy of the evaluation result are effectively improved.

The invention discloses a new energy micro-grid distributed rolling collaborative optimization control method and related equipment, and the method comprises the steps: building a centralized rolling optimization model of a new energy micro-grid system in each rolling optimization period based on a predetermined optimization target and system constraints; wherein the preset optimization target comprises port voltage deviation minimization of the micro-grid node, operation degradation cost minimization of an energy storage device in the micro-grid node, and light abandoning rate minimization of a photovoltaic unit in the micro-grid node; the system constraints comprise a power flow balance constraint and a droop control constraint of each micro-grid node, and a charge state constraint of an energy storage device; the centralized rolling optimization model is decoupled into distributed sub-problems corresponding to the micro-grid nodes; and a distributed alternating direction multiplier method is adopted, information interaction is carried out through each micro-grid node and adjacent nodes, and each distributed sub-problem is solved in parallel, so that an optimal control strategy of all micro-grid nodes in the next control period is obtained. The method does not need to build a complex and high-cost communication network to transmit a large amount of data, reduces the dependence on a complex communication platform and line, improves the control reliability, and avoids the control failure of the whole micro-grid when a communication system breaks down. Meanwhile, the calculation burden in a large-scale network is relieved, and the control response speed is increased.

The invention provides a communication link switching method and device and electronic equipment, and relates to the technical field of intelligent power grid communication. The method comprises the following steps: acquiring a task demand type and a first real-time state parameter of a current link; the first real-time state parameters are input into a trend prediction model, predicted state parameters are obtained, and the trend prediction model is a model which is pre-constructed and trained based on a historical state parameter set and used for analyzing the link state change trend; determining whether the current link meets a preset degradation condition or not based on the task demand type and the predicted state parameter; if the current link meets the preset degradation condition, pre-connection operation is executed on a target candidate link, and the target candidate link is determined from a preset candidate link set based on the task demand type; and after the pre-connection operation is completed, switching the current communication task from the current link to the target candidate link. According to the invention, the problem of communication interruption caused by link failure can be avoided, and the stability and real-time performance of intelligent power grid communication are improved.