67 results about "Distributed generator" patented technology

Disclosed a decision-dependent chance-constrained optimal model for enhancing resilience of power distribution system under renewable generation uncertainty through strategically setting-up and activating dispatchable diesel generators, renewable distributed generations, battery energy storage systems, and switchable devices. By incorporating the information of decision variables, a moment-based ambiguity set is employed to depict the uncertainty arising from renewable distributed generators. By leveraging convex approximations to handle the considered joint chance constraints, the disclosed model is transformed into a tractable mixed-integer second-order conic programming problem to be solved.

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 provides a power grid supply and demand balance regulation and control method based on an improved multi-objective particle swarm optimization algorithm, and the method comprises the steps: taking the capacity of the power of each line of a power distribution network in each line as a constraint, taking the minimum cost, the minimum loss and the minimum voltage deviation as objective functions, and constructing a multi-optimization objective function; a multi-optimization objective function is solved based on improved multi-objective particle swarm optimization, and a power grid supply and demand balance regulation and control scheme is obtained; and performing supply-demand balance regulation and control on the power grid by adopting the power grid supply-demand balance regulation and control scheme. According to the method, three objectives of loss reduction, voltage deviation and minimum cost are taken as a total objective of optimization, and an optimal solution is obtained by adopting an improved multi-objective particle swarm optimization algorithm, so that the capacity of the distributed generator set can be optimized, and the electricity consumption in the peak period can be effectively managed, thereby realizing supply and demand balance of a power grid, reducing line congestion, and improving the reliability of the power grid. The power grid stability and operation efficiency are improved.

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.

Disclosed a decision-dependent chance-constrained optimal model for enhancing resilience of power distribution system under renewable generation uncertainty through strategically setting-up and activating dispatchable diesel generators, renewable distributed generations, battery energy storage systems, and switchable devices. By incorporating the information of decision variables, a moment-based ambiguity set is employed to depict the uncertainty arising from renewable distributed generators. By leveraging convex approximations to handle the considered joint chance constraints, the disclosed model is transformed into a tractable mixed-integer second-order conic programming problem to be solved.

The invention relates to the technical field of micro-grids, and discloses an AC micro-grid distributed power control method with quantitative event triggering. According to the method, due to droop control in an island DC micro-grid, distribution of reactive power and unbalanced power in a system cannot be guaranteed, and a distributed control method with quantitative event triggering is provided for solving the problem. According to the control scheme provided by the invention, communication is reduced on the basis of realizing reactive power and unbalanced power distribution among distributed power generation units by adding a designed distributed secondary controller with a quantitative event triggering method, and parts which cannot be accurately distributed can be readjusted by a negative feedback system through PI control; in addition, the proposed method does not need global power information, each distributed generator only communicates with a neighbor when meeting a triggering condition, the communication burden of a micro-grid communication network is greatly reduced, the stability of the method is proved through a Russell invariant set principle, and Zeno behaviors are also eliminated through an anti-security method.

The invention is suitable for the technical field of wind power generation equipment, and provides a distributed power generation vertical shaft fan which comprises a fan support, a main transmission shaft, a fan main shaft base, a wind power detection device and at least one distributed power generation unit. The fan impeller is divided into a spiral impeller structure and a lift-drag composite impeller structure, the distributed power generation unit comprises a power generation device base and a main driving outer gear, the power generation device base is rotationally provided with a plurality of power generation driving gears, and the power generation driving gears are meshed with the main driving outer gear; the power generation driving gear is in driving connection with the distributed generators through the power generation driving shaft, the main transmission shaft drives the main driving outer gear to drive the distributed generators to generate power, the electromagnetic clutch is arranged between the power generation driving shaft and the distributed generators, and the number of the distributed generators connected to the load can be flexibly adjusted according to working conditions. And maximum utilization of energy is realized.

The invention discloses a virtual power plant economic dispatching system based on distributed power generation. The system comprises a model objective function construction module which constructs an objective function for maximizing the economic benefit of a virtual power plant within a set time period; the output planning module obtains virtual power plant planned output based on distributed power generation under the corresponding condition; the operation constraint module constructs the operation constraint of the virtual power plant, and solves the model to obtain the power output of each distributed generator set; the energy storage control module is used for compensating the output deviation of the virtual power plant through combined operation of pumped storage hydroelectric generation and an energy storage battery; and the economic dispatching operation module obtains an optimized dispatching power generation plan of the future virtual power plant in each time period according to the distributed future power generation curve of the uncontrollable power supply, the time-of-use electricity price and the power generation cost. The operation economic benefits of the virtual power plant are improved.

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 microgrid distributed secondary voltage control method and system based on voltage constraint, and relates to the technical field of microgrid control. The method comprises the following steps: establishing a secondary voltage control model of the distributed generator; designing an event trigger function according to the continuous voltage amplitude information of the generator, and determining a corresponding event trigger mechanism; designing a voltage constraint projection scheme, performing load rate adaptive constraint on the voltage amplitude by considering the dynamic change of the load rate, and projecting the voltage amplitude of the distributed generator into a voltage constraint range by adopting a constraint projection function; and designing a distributed secondary voltage controller based on the voltage constraint projection scheme, and performing secondary voltage control on the micro-grid. Through a dynamic event triggering mechanism and a distributed cooperative control strategy and in combination with a constraint voltage projection technology, the bus voltage is quickly recovered to a reference value under a constraint condition, and the communication frequency is remarkably reduced.

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.

The invention relates to a cold and heat storage and release device and a control method thereof. The cold and heat storage and release device is mainly composed of an energy storage tank, a circulating pump, an energy storage heat exchanger, an energy release heat exchanger, a plurality of electric valves, pipelines and a control system. The system is suitable for scenes with waste heat resources, such as a natural gas distributed generator set and the like, and can be cooperatively used with a solar heat collection device, an electric boiler and the like. By means of the system, the energy utilization rate of the heating and cooling system can be increased, peak load shifting of energy is achieved, and remarkable economic benefits are achieved.

The present disclosure proposes a power line carrier communication method and device for a mine emergency microgrid, which is applied to a mine emergency microgrid. The mine emergency microgrid includes: a battery and a plurality of distributed generators, the battery and the distributed generator are respectively connected to a common AC bus based on an inverter, and the battery is located upstream of the current of the distributed generator. The method includes: the inverter corresponding to the target generator parses the upstream PLC signal from the upstream current; according to the upstream PLC signal, the unit load information of the upstream generator is determined, wherein the unit load information of the upstream generator is used to instruct the target generator to adjust the power; the inverter corresponding to the target generator removes the upstream PLC signal in the common AC bus, and injects a new PLC signal into the downstream current according to the unit load information of the target generator. Thus, the communication system constructed based on PLC can realize the dynamic redistribution of the output power of the generator, thereby ensuring the power supply safety of the emergency microgrid.

The invention provides a method and system for improving power supply energy and economic benefits of a regional power grid by considering energy storage. The method comprises the steps of constructing a model foundation, setting a model, solving the model and the like, designs and realizes a power grid system comprising a distributed generator, a wind turbine, an energy storage system and a load, and aims to enhance the performance of the energy storage system in a power grid and utilize wind energy. And meanwhile, the efficiency, power output, investment, operation and maintenance cost and the like of the distributed generator and the wind turbine are calculated and set in detail. According to the method, the fitness function and the constraint condition are formulated, and the model is solved through the dragonfly optimization algorithm, so that the overall performance optimization of the power grid system is realized, the stability and the flexibility are improved, and the operation cost is reduced.

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 distributed generator system scheduling optimization method and system based on dual decomposition, and the method comprises the steps: obtaining the operation data of a power distribution system, including distributed generators and public utilities; the distributed generator is used as a sub-agent, and the public utility is used as a main agent; constructing a scheduling objective function by taking power generation cost minimization as an objective, setting constraint conditions based on operation data, and constructing a scheduling optimization problem; converting the scheduling target problem into a corresponding dual problem by using a Lagrange dual function, and proving that the optimal solutions of the scheduling target problem and the corresponding dual problem are the same based on a Slater condition; the decomposed dual problem comprises a sub-agent optimization problem and a main agent optimization problem; solving a main agent optimization problem by using a subgradient descent method, and carrying out convergence analysis on an optimal solution; iteratively updating the step length and the gradient until a termination criterion is met, and obtaining an optimal scheduling vector; the method has expandability, is suitable for distributed generator deployment, and makes full use of generator capacity.

The invention provides a micro-grid fixed time dynamic event trigger control method based on an observer, and belongs to the technical field of micro-grid operation control. The control method comprises the following steps: judging whether the voltage and frequency of primary droop control of a power control variable of an ith DG unit in the time-delay island micro-grid deviate from reference values or not, if so, performing secondary control, and if not, performing secondary droop control; by designing a voltage recovery variable, a frequency recovery variable and an active power recovery variable of micro-grid fixed time dynamic event trigger control based on an observer, the output voltage and the output frequency of a distributed generator are recovered to reference values within convergence time. According to the optimization method, the fixed-time dynamic event triggering observer with the confidence factor observes the transmission delay state, the adverse effect of delay on the control performance is limited, operation of each DG unit in the micro-grid is coordinated, the control performance of the micro-grid is guaranteed, and the stability of the system is improved.

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.