39 results about "Distributed generator" patented technology

Provided in the embodiments of the present disclosure are an optimal control method and system for a distribution network with a high penetration of distributed generators, and an electronic device, a computer-readable storage medium and a computer program product. The optimal control method is applied to a centralized control platform. The method comprises: on the basis of an association relationship between power outputs of distributed generators at various levels, performing multi-level forecasting on historical power generation data of each distributed generator, so as to obtain a day-ahead forecasted output value of each distributed generator; for each distributed generator, determining a day-ahead output adjustment value on the basis of historical power flow data and an optimal power flow optimization model; and sending to the corresponding distributed generator the output adjustment value and forecasted output value of each distributed generator as centralized control instructions, so that the distributed generator controls an output value during each control period within the day ahead on the basis of an acquired real-time output measurement value, the acquired output adjustment value and the acquired forecasted output value.

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 method for analyzing active and reactive coupling characteristics of a power distribution network, and relates to the technical field of power distribution networks. S1, analyzing the active and reactive power regulation capability of the multi-flexibility resources of the active power distribution network; s2, researching a power distribution network linearization load flow calculation method considering load voltage static characteristics and PV nodes; and S3, carrying out linear load flow calculation and active-reactive coupling characteristic analysis and research on the power distribution network. According to the active and reactive coupling characteristic analysis method for the power distribution network, a distributed generator is used as a controllable and adjustable power supply to participate in the operation scheduling of the optimal power flow of the power distribution network, and the global optimization of the resources of the active power distribution network is realized through the coordinated scheduling of numerous resources in the active power distribution network; the safety, reliability, quality, economical efficiency and friendliness indexes of system operation are improved, and the key problems of overvoltage, wind curtailment, light curtailment, power blockage, line loss and the like of the active power distribution network are solved.

The invention discloses a power distribution network voltage coordination control method based on an event trigger mechanism, and belongs to the technical field of power distribution control. Dividing the power distribution network into a plurality of sub-regions, establishing a coupling constraint of each region, and decomposing a global optimization problem into optimization problems of each region; a pre-designed ETM-DAL-ADMM algorithm is adopted, a Lagrange function of an optimization problem of each region of a penalty coefficient is linearly processed and dynamically adjusted, local decision variables including boundary variables of each region are updated, inter-region information exchange is carried out according to a preset event triggering mechanism, and a final local decision variable is iteratively solved; and according to the final local decision variable, adjusting the reactive power output of the distributed generator in each region, so that the voltage of the power distribution network conforms to the constraint and the branch loss is minimized. The problem that the stability of the power distribution system cannot be ensured when the communication capability is insufficient in the existing control method can be solved.

A system and method for establishing a microgrid from an existing electrical grid whereby the system provides a remote terminal that collects data from the electrical grid and the microgrid and communicates the data back to and from the microgrid and the electrical grid, whereby the remote terminal unit may continuously monitor specific parameters from the microgrid and the electrical grid, such as distributed generators, converters, and loads, including power levels, charge levels, voltage levels, current flow, temperature, breaker status, and other information pertinent to the microgrid and the electric grid, while the RTU is designed for microgrid islanding and power flow.

A design method, device, equipment and medium of a self-optimizing droop control strategy are disclosed. The features include: obtaining operation parameters and power parameters of a distributed generator set, constructing a multi-objective optimization function according to the operation parameters and the power parameters; determining an optimal operation condition according to the multi-objective optimization function; and designing a self-optimizing droop control strategy for a target droop controller according to the optimal operation condition. By setting the control strategy of the self-optimizing droop controller, optimal distribution of active power and reactive power can be achieved, the accuracy of the distribution of active power and reactive power is improved, the droop controller achieves optimal control in terms of operation cost and effective power, and the distributed generator set of the micro-grid can maintain the optimal operation condition under different load conditions.

The invention relates to a virtual power plant transaction auxiliary calculation method and system, and belongs to the technical field of participation of virtual power plants in power markets. According to the method, a day-ahead virtual power plant optimization model which takes the lowest total cost as an optimization target and comprises the corresponding cost of the day-ahead bidding power of a virtual power plant to an energy market, the power of a virtual power plant flexible load aggregator and the dispatching power of a virtual power plant generator set and energy storage equipment is adopted; obtaining a power track reference value of the flexible load aggregator under constraint conditions corresponding to the power flow equation, the distributed generator set, the energy storage equipment and the flexible load aggregator; calculating a power track actual value of the flexible load aggregator according to a power consumption curve of a flexible load for determining a flexible load operation plan obtained after depolymerization optimization is performed on the reference value, and substituting the power track actual value into a day-ahead virtual power plant optimization model; and obtaining the day-ahead bidding power for determining the day-ahead bidding plan and the scheduling power for determining the day-ahead scheduling decision plan under the constraint condition.

Methods and systems for determining a hosting capacity in a distribution grid are disclosed herein. The methods and systems may use optimization models that consider operating conditions of a distribution grid having a distinct topology, characteristics, and predetermined performance parameters. The determination of a hosting capacity may first consider a lossless power flow model for the distribution grid, which may then be used to arrive at a maximum hosting capacity for the distribution grid. The maximum hosting capacity may be defined as the total capacity of a number of distributed generators connected to the distribution grid such that the performance parameters will be met.

A ship power management method, apparatus, and ship using the same are disclosed for stably connecting a shaft generator to a ship's power system and stably supplying its power. The ship power management method involves connecting a shaft generator to a ship's power system, controlling the generator-side converter of a power converter connected to the shaft generator with a zero-power reference, charging the DC-end capacitor of the power converter, using the current from the DC-end capacitor to magnetize the shaft generator and cause it to generate its own power, controlling the grid-side converter of the power converter with a zero-power reference, controlling the generator-side converter to charge the DC-end capacitor with the power from the shaft generator, and performing secondary voltage control in the power converter so that the shaft generator operates as a distributed generator in the ship's power system.

The invention discloses a distributed micro-grid scheduling method based on improved near-end strategy optimization, and belongs to the technical field of intelligent power grid and artificial intelligence crossing. The invention aims to solve the challenges of the traditional micro-grid scheduling method in the aspects of high-dimensional and dynamic uncertainty, multi-target collaborative optimization and the like caused by renewable energy source grid connection. The method comprises the following steps: firstly, constructing a Markov decision process model of a distributed micro-grid environment comprising a distributed generator set, an energy storage system and photovoltaic and power grid interaction; then, an improved distributed near-end strategy optimization algorithm is adopted as a decision-making core, a plurality of parallel intelligent agents are arranged to interact with the environment to collect data, strategy iteration and optimization are carried out through a unified reward function, and the operation cost and power balance of the microgrid are comprehensively considered by the reward function; and finally, through an optimization strategy obtained through training, real-time and dynamic scheduling is carried out on behaviors such as output, energy storage charging and discharging of a generator set in the microgrid.

The application discloses a power distribution network voltage coordination control method based on an event triggering mechanism and belongs to the technical field of power distribution control. The method comprises the following steps: a global optimization model is constructed; the power distribution network is divided into multiple sub-regions, coupling constraints of each region are established, and the global optimization problem is decomposed into regional optimization problems; a pre-designed ETM-DAL-ADMM algorithm is adopted, a Lagrange function of the regional optimization problem is linearly processed and dynamically adjusted in a penalty coefficient, local decision variables of each region including boundary variables are updated, information exchange between regions is carried out according to a pre-set event triggering mechanism, and final local decision variables are iteratively solved; and reactive power outputs of distributed generators in each region are adjusted according to the final local decision variables, so that the voltage of the power distribution network meets the constraints and branch loss is minimized. The application can solve the problem that the existing control method cannot guarantee the stability of the power distribution system when the communication capability is insufficient.

Provided in the embodiments of the present disclosure are an optimal control method and system for a distribution network with a high penetration of distributed generators, and an electronic device, a computer-readable storage medium and a computer program product. The optimal control method is applied to a centralized control platform. The method comprises: on the basis of an association relationship between power outputs of distributed generators at various levels, performing multi-level forecasting on historical power generation data of each distributed generator, so as to obtain a day-ahead forecasted output value of each distributed generator; for each distributed generator, determining a day-ahead output adjustment value on the basis of historical power flow data and an optimal power flow optimization model; and sending to the corresponding distributed generator the output adjustment value and forecasted output value of each distributed generator as centralized control instructions, so that the distributed generator controls an output value during each control period within the day ahead on the basis of an acquired real-time output measurement value, the acquired output adjustment value and the acquired forecasted output value.

The invention discloses a distributed generator monitoring method based on edge calculation and a related device, and the method comprises the steps: inputting preprocessed multi-dimensional monitoring data into a generator fault recognition model, carrying out the recognition of a generator fault, and obtaining a generator fault recognition result; inputting the generator fault identification result into a fault disposal decision generation model, and performing fault disposal decision generation to obtain a fault disposal decision; and performing space-time association on the preprocessed multi-dimensional monitoring data, the generator fault identification result and the fault disposal decision to obtain a distributed generator monitoring record, encrypting the distributed generator monitoring record, and uploading the encrypted distributed generator monitoring record to a cloud data center for distributed storage. According to the method and the related device, the problems of poor real-time performance, high data transmission pressure, low fault identification accuracy, insufficient reliability and low intelligent degree in the prior art can be solved.

The utility model discloses a triple co-generation distributed power plant reverse power protection system and a power grid system, the triple co-generation distributed power plant reverse power protection system comprises a triple co-generation distributed generator room and a power consumer power distribution room which are connected through a special line, and the power consumer power distribution room is connected with a power grid through a transformer. The power consumer distribution room comprises a current detection device, a signal acquisition device and a first photoelectric converter, and the first photoelectric converter is connected with the signal acquisition device and used for converting electric signals into optical signals. The triple co-generation distributed generator room comprises a second photoelectric converter, an execution protection device and a reverse power protection device, the second photoelectric converter is connected with the first photoelectric converter through an optical cable and used for converting optical signals into electric signals, and the reverse power protection device is connected with the second photoelectric converter and the execution protection device and used for converting the electric signals into electric signals. And when reverse power is detected, the execution protection device is controlled to be disconnected.

A microgrid (MG) controller can control a plurality of distributed generators (DGs) of photovoltaic (PV) arrays. The MG controller can include a power sharing unit configured to share power proportionally in a single current controlled mode (CCM) between the plurality of DGs based on a power capacity for each DG. The power sharing unit can include a robust current droop controller (RCDC) configured to provide proportional active current shared between the plurality of DGs. The power sharing unit can also include a quasi-proportional resonant (QPR) regulator coupled to the RCDC within a unified architecture. The QPR regulator can be configured to regulate a reference current signal.

A method and a system for distributed control of a direct current (DC) microgrid having a plurality of distributed generators (DGs) coupled to a DC bus through a plurality of converters includes measuring local voltage and current of each DG and computing, via a distributed voltage observer, an estimated average bus voltage using neighbor information exchanged over a communication network. Incremental cost (IC) consensus and bus voltage regulation errors are determined and constrained within time-varying performance bounds using an adjustable prescribed performance function (APPF). Control inputs are computed for convergence within a fixed time independent of initial conditions. An event-triggered communication mechanism minimizes data exchange by transmitting updates only when a triggering condition is satisfied. The droop references of the converters are updated to equalize DG ICs within power limits to regulate the estimated average bus voltage of the microgrid towards the nominal bus voltage.

Techniques of distributed generator simulation, analysis, and report generation can include utilizing a core system in which data is managed for the end user automatically. Techniques can include scheduling and allocation of tasks to computers, and providing a simple plain text front-end interface to a user. This can allow a user to perform complex simulations, allocate to optimal computing resources, queue simulation tasks, annotate images, log non-compliance, and / or compile the report. Full reporting can be provided in multiple formats to allow a quick repeat of full studies with simulation changes. The process may be controlled by a human or an artificial intelligence, and task priority may be sorted between multiple engineers while easy changes in system snapshots may be made to use as a basis for system studies, or grid connection studies.

The invention belongs to the technical field of micro-grids, and particularly relates to a micro-grid capacity configuration optimization and investment decision-making method and device considering multiple objectives, and the method comprises the steps: constructing a capacity optimization model considering the economic cost, renewable energy utilization efficiency and carbon emission of a micro-grid; establishing a multi-level evaluation index system covering four dimensions of economy, environment, society and technology; solving the capacity optimization model by adopting a multi-target particle swarm optimization algorithm to obtain an optimal capacity configuration scheme of each distributed generator set, an energy storage battery and a diesel generator; calculating a subjective / objective weight coefficient of each index; based on the game theory, obtaining an optimal subjective weight coefficient and an objective weight coefficient, and calculating a comprehensive weight; and sorting the optimal capacity configuration schemes by utilizing the comprehensive weight and adopting a distance evaluation method based on an average solution to obtain a final decision result. The method can objectively distinguish the advantages and disadvantages of micro-grids of different technical routes, and provides comprehensive quantitative support for investment decision making and policy making.

This invention proposes a distributed control method for distributed generation in a distribution network based on optimal spectral clustering. It employs an active power flow-based spectral clustering method to divide the distribution network into small clusters according to distributed photovoltaic (PV) power, generating balanced clusters and identifying the error between the reference net load and the measured net load. Then, a controller is assigned to each cluster to manage the distributed generation within the cluster. Based on an error minimization method, the DER (Distributed Generation Controller) scheduling dynamically compensates for local net load changes. This controller manages the distributed generation within the cluster to reduce the intermittency of the net load. To address constantly changing grid conditions, the clusters dynamically change to determine a new optimal cluster configuration. Through these dynamically changing clusters, the network load balance is further improved.

This invention discloses a comprehensive load characteristic analysis method and system for distribution networks containing distributed generation (DG) sources, relating to the field of distribution network analysis technology. The method involves periodically performing stability analysis on each connected DG source. When the distribution network load exceeds a preset load threshold, the system first determines whether the stored capacity of the DG source meets the network's needs. DG sources that do not meet the threshold are removed from the power source list, completing the first deletion process. The system then performs a backtesting analysis on the stability of the remaining DG sources. DG sources that fail the backtesting analysis are removed from the power source list, completing the second deletion process. Based on the stability backtesting analysis results, the system dynamically adjusts the output capacity of each DG source. The analysis system dynamically adjusts the output of the DG sources according to the backtesting analysis results to match the distribution network load demand, ensuring the stability and safety of the distribution network under heavy load conditions.

This invention relates to the field of microgrid control technology, and discloses a distributed harmonic control method, device, and multi-inverter system for multi-inverter systems. In this invention, adjacent inverter control units are connected to form a ring network. During harmonic control, the output voltage and output current of the inverter in the inverter control unit are used to separate the fundamental and harmonic components. Based on the obtained fundamental component, the fundamental component of the outer loop reference voltage is calculated. The harmonic power is calculated based on the harmonic current component. Combined with the harmonic power of other interconnected units, a harmonic power sharing controller is calculated to determine the harmonic voltage gain coefficient. Based on this coefficient and the harmonic current component, the harmonic component of the outer loop reference voltage is obtained. The outer loop reference voltage is then calculated, and the control voltage for the corresponding three-phase inverter bridge is obtained from this reference voltage. This invention is unaffected by grid interference and feeder impedance mismatch, compensates for voltage distortion caused by nonlinear loads, and achieves precise harmonic power distribution between the DG (Distributed Generator and Controller).

The application discloses a kind of building load collaborative control methods considering V2B mode user demand, comprising: obtaining building photovoltaic, rigid load power model;The mathematical model of distributed generator is constructed;Electric vehicle battery energy storage mathematical model is constructed;Air conditioning load mathematical model is constructed;Establish power balance constraint equation;Based on power balance constraint equation, the cost model of building load collaborative control is established;Based on the cost model of building load collaborative control, actual building load collaborative control problem is converted into deep reinforcement learning problem;Iterative solution deep reinforcement learning problem, obtain final strategy, control building in distributed generator and each air conditioner.The state matrix and reward function of the deep reinforcement learning algorithm are improved in the application, and a set of efficient, reliable, privacy-friendly building load collaborative control method is constructed, which provides technical support for the practical application of V2B mode, and helps the efficient consumption of renewable energy and the low-carbon transformation of energy system.

The present invention discloses a microgrid distributed secondary voltage control method and system based on voltage constraints, relating to the field of microgrid control technology. The method comprises the following steps: establishing a secondary voltage control model for a distributed generator; designing an event trigger function based on the continuous voltage amplitude information of the generator, and determining a corresponding event trigger mechanism; designing a voltage constraint projection scheme, taking into account the dynamic changes in the load rate to perform load rate adaptive constraints on the voltage amplitude, and using a constraint projection function to project the voltage amplitude of the distributed generator into the range of the voltage constraint; designing a distributed secondary voltage controller based on the voltage constraint projection scheme to perform secondary voltage control on the microgrid. The present invention uses a dynamic event trigger mechanism and a distributed collaborative control strategy, combined with a constrained voltage projection technology, to achieve rapid recovery of the bus voltage to a reference value under constraint conditions and significantly reduce the communication frequency.

The invention discloses a distributed generator set power distribution network fault positioning method, which comprises the steps of decomposing voltage and current before and after a fault into positive, negative and zero sequences, and obtaining an impedance matrix according to impedance of different sequences; inputting fault current, and calculating voltage change according to the total fault current and impedance; fault indexes are determined according to the difference value between the voltage calculated quantity and the measured quantity, and fault section detection is achieved according to comparison of the fault indexes; and finally, further carrying out positioning operation in the positioned fault section to determine a fault point. According to the invention, positioning is carried out based on the impedance matrix, the installation number of PMUs can be reduced under the condition that the precision is ensured in fault positioning of distributed power generation, and the installation cost of equipment is saved.

Disclosed are a ship power management method and apparatus for stably connecting an axle generator to a ship power system and stably inputting power thereof, and a ship using the same. The ship power management method includes: connecting an axle generator to a ship power system; a generator-side converter controlling a power converter connected to the axle generator with a zero power reference; charging a DC link capacitor of the power converter; the shaft generator is excited by using the current of the DC link capacitor so as to realize self power generation; a grid-side converter controlling the power converter with a zero power reference; controlling the generator-side converter to charge the DC link capacitor with the power of the axle generator; and performing secondary voltage control in the power converter such that the axle generator operates as a distributed generator of the marine power system.

A method and system for controlling a photovoltaic solar power generation source operatively coupled to a power grid system at a point of common coupling (PCC) to perform a plurality of dynamic reactive power control based functions including: reactive power set point control, power factor control, and voltage control, when its primary energy source is not available, and available. Voltage control may also prevent PCC voltage from violating a voltage limit caused by real power generation from itself or by real power generation from an additional distributed power generation source operatively connected to said power grid system, or by both. Controlling a battery energy storage based distributed power generation source operatively coupled to a power grid system at a PCC to perform reactive power set point control, power factor control, and voltage control, during both the conditions when its primary energy source is not available, and available is also provided.

The invention discloses a distributed wind power generation driving system. The system comprises fan blades, a hub, a low-speed main shaft, a speed-up transmission mechanism, a high-speed driving shaft and a distributed driving module. The input end of the speed-increasing transmission mechanism is connected with the low-speed main shaft and is in linkage with fan blade input power, the high-speed driving shaft is connected with the power output end of the speed-increasing transmission mechanism, and one or more distributed driving modules are arranged on the high-speed driving shaft. The distributed driving module comprises a driving large tooth and a plurality of driving small teeth which are evenly distributed in the circumferential direction of the driving large tooth and meshed with each other, an input shaft connected with each driving small tooth is in coupling linkage with one pair of generators or a single generator, and mechanical input power of the low-speed main shaft is converted into electric power through a distributed generator set to be output. According to the distributed wind power generation driving system, the weight, the cost and the technical development threshold of a high-power single generator assembly can be greatly reduced, platformization and modular capacity expansion of a high-power fan can be achieved, the fan capacity application range is wide, and the wind power utilization efficiency of a fan unit can be improved.

The application discloses a power distribution network recovery method and device considering switch uncertainty, a three-layer robust post-disaster recovery model based on a linearized Distflow model and a traveling salesman model, considers the failure of elements and remote switches in the process of post-disaster recovery, considers distributed generator rescheduling and network reconstruction technology, solves the repair personnel scheduling problem under the condition of uncertain fault type, and obtains a power distribution network recovery scheme applicable to all possible fault scenarios, reduces the maximum load loss that the power distribution network may suffer under the condition of incomplete fault information, in addition, the model only needs the power distribution network operator to predict the maximum number of various types of faults according to historical data, reduces the required information, effectively reduces the added scene and lightens the calculation burden, can find a global optimal solution in a short time, improves the efficiency of post-disaster recovery of the power distribution network, and provides an efficient tool for power distribution network recovery under the condition of incomplete fault information.

This invention provides a method for calculating carbon emissions in a distributed generation (DG) stochastic output distribution network. The method includes: acquiring raw data of the DG stochastic output distribution network; inputting the raw data into a preset node admittance matrix to determine the distribution probability of parameters at each node in the distribution network, and performing deterministic power flow calculation based on the determined distribution probability to obtain the randomly distributed generator carbon emission intensity; calculating the corresponding judgment coefficient based on the obtained randomly distributed generator carbon emission intensity; determining whether convergence is required based on the judgment coefficient; if convergence is required, redetermining the distribution probability of each node parameter and re-performing the deterministic power flow calculation until convergence is no longer required; if convergence is not required, outputting the obtained randomly distributed generator carbon emission intensity and power flow results as the final calculation result. This invention lays a solid foundation for the comprehensive analysis and evaluation of carbon emissions under various operating conditions and meets the requirements for carbon flow calculation in distribution networks containing DG.