23results about How to "Smooth power fluctuations" patented technology

The invention belongs to the technical field of distributed resource control of a power distribution network, and particularly relates to a distributed resource cooperative control method based on layering and partitioning autonomy of the power distribution network. The method comprises the following steps: S100, proposing an active power grid layering and zoning control strategy oriented to feeder autonomy; s200, establishing a power distribution network area power regulation and control information model of hierarchical and distributed control; and S300, realizing distributed resource cooperative control based on layering and partitioning autonomy of the power distribution network. According to the distributed resource cooperative control method provided by the invention, the distributed photovoltaic, user load and distributed energy storage coordinated control in the transformer area is realized by combining a feeder-autonomous-oriented active power distribution network layered and partitioned control strategy and utilizing the edge computing capability of the transformer area intelligent fusion terminal, the distributed photovoltaic absorption capability is improved, and the distributed resource utilization rate is improved. Energy supply and demand imbalance caused by distributed photovoltaic randomness is stabilized, and the economic operation level of a power distribution area is improved.

The invention discloses a county power distribution network partition autonomous optimization method and system based on a dynamic partition strategy. The method comprises the steps of collecting power distribution network data, evaluating the comprehensive adjustment capability of various adjustable resources of a power distribution network, and constructing a dynamic partition index system. And under the zoning framework of the county power distribution network, constructing an autonomous zoning optimization model with the minimization of the network loss as an optimization target. And solving the model by adopting an improved genetic algorithm to realize minimization of the loss of the county power distribution network. And a dynamic updating mechanism of the partition structure is designed, and continuous optimization of a partition result is realized. According to the county power distribution network partition autonomous optimization method and system based on the dynamic partition strategy, evaluation and optimization of the comprehensive adjustment capability are achieved, and the operation efficiency and stability of the power distribution network are remarkably improved. The method has the remarkable advantages in the aspects of dealing with voltage fluctuation, power fluctuation and resource adjusting capacity, and the problems which cannot be dealt with in the prior art are solved.

The invention provides a wind, light, fire and nuclear storage integrated scheduling architecture based on a complex and uncertain environment of a cold region power grid, and relates to the technical field of power grid system processing, the architecture comprises a data acquisition and monitoring layer, an analysis and decision layer, a control execution layer and an evaluation and optimization layer, the anti-freezing and deicing technology of the power transmission line effectively improves the reliability of equipment in severe environments such as low temperature and ice and snow, guarantees the stability of power transmission of a power grid, reduces equipment faults and power failure accidents caused by cold environment factors, enhances the anti-risk capability of the whole power grid, and improves the safety of the whole power grid. According to the method, characteristics and complementary relations of multiple energy sources of wind, light, fire and nuclear storage are comprehensively considered, peak regulation and frequency modulation analysis and decision making and integrated regulation and control analysis and decision making are carried out, and by constructing a reasonable operation scene and a scheduling model, optimal configuration and cooperative operation of power generation resources can be achieved under different operation conditions.

The invention discloses an electrolytic bath rotation value control method based on wind power prediction error condition distribution, solves the problem of excessive starting and stopping times of an electrolytic bath or unbalanced time when the electrolytic bath continuously operates in an unhealthy state during control of a renewable energy coupling hydrogen production system, and belongs to the field of electrolytic bath operation control. The method comprises the steps that a joint distribution model of wind power plant output power prediction data based on a Copula function is established and solved, and dynamic distribution of wind power prediction errors is obtained according to the distribution model, wherein a control strategy is divided into upper-layer control and lower-layer control; the upper layer control reads power prediction distribution data and prediction error distribution characteristics of the wind power plant, judges the running state of an electrolytic cell array, and predicts the number of electrolytic cells required in each running state in the next rotation period; and the lower-layer control reads the real-time wind power generation power of the electrolytic bath in the running state in the corresponding time period, and performs power distribution on the running power of the electrolytic bath in the fluctuating state according to the corresponding round value optimization strategy.

The invention discloses a combined control method and system of a gravity energy storage hybrid electrochemical energy storage system. The combined control system of the gravity energy storage hybrid electrochemical energy storage system comprises a gravity energy storage system with a storage block and an electrochemical energy storage system with a storage battery and a super capacitor. The method comprises the following steps of: obtaining a power difference of a power instruction required by the gravity energy storage system according to different moments of acceleration, constant-speed and deceleration motion of a storage block; and carrying out power optimization distribution control on the power difference according to the frequency, respectively obtaining the charging and discharging power of the storage battery and the super capacitor, and carrying out charging / discharging supplement by utilizing the electrochemical energy storage system to realize the combined control on the gravity energy storage hybrid electrochemical energy storage system. According to the scheme, the gravity energy storage, the storage battery and the super capacitor can be subjected to power distribution at different time scales, cooperative control over the electricity-gravity hybrid energy storage system is achieved, and the overall performance of the system is effectively improved.

The invention discloses a multi-agent-based control method and system for an improved consistency algorithm. The method comprises the following steps: building a coordinated voltage control model of a light-hydrogen-storage system consisting of a distributed photovoltaic system and a hydrogen energy storage system; in the photovoltaic power generation process, an inverter is responsible for stably transmitting reactive power to a power network, a certain adjusting capacity is reserved, and the voltage of a photovoltaic grid-connected point is adjusted and controlled by absorbing or releasing reactive electric energy; the hydrogen energy storage system monitors the voltage change condition by using the peak clipping and valley filling characteristics of the hydrogen energy storage system, plays a role in smoothing the influence brought by photovoltaic power generation fluctuation in a certain interval range, and optimizes an electrolytic cell; the principle of a consistency algorithm is analyzed, a typical finite time consistency algorithm is improved, and control gains c1 and c2 are introduced, so that the multi-agent system achieves average consistency within limited time; according to the invention, the control time of the photovoltaic inverter and the hydrogen energy storage system is reduced, and the reliability of a multi-agent coordinated voltage control strategy is improved.

The invention relates to a self-adaptive wavelet packet wind power stabilizing method based on a time scale, and the method comprises the steps: dividing a time domain based on a set time scale, carrying out the self-adaptive wavelet packet decomposition, and carrying out the stabilizing of fluctuation out-of-limit data in adjacent time domains through employing an arithmetic average method; based on the characteristics of the energy storage equipment and the node energy distribution condition, the correlation between the hybrid energy storage power components is analyzed by using the energy entropy difference, the energy type and power type energy storage power components are obtained, and hybrid energy storage capacity optimization is carried out by combining the maximum charging and discharging power and the energy change; the method comprises the following steps: dynamically partitioning an energy storage SOC, improving a fuzzy control membership function, and optimizing a hybrid energy storage power instruction by adopting two-stage fuzzy control so as to reduce SOC out-of-limit of the energy storage system. According to the method, power fluctuation can be effectively stabilized, the hybrid energy storage component can be more accurately distributed, meanwhile, SOC out-of-limit can be effectively reduced, and the electric energy quality is improved.

The invention discloses a power scheduling method and device based on a flexible load and pumped storage, and terminal equipment, and the method comprises the steps: taking the maximum flexible load income in a scheduling period as a first target, taking the minimum output fluctuation variance in the scheduling period as a second target, constructing a cooperative scheduling model, and solving the cooperative scheduling model, obtaining a load scheduling result in the scheduling period, a power generation power value of the target pumped storage power station in the scheduling period and a power utilization power value of the target pumped storage power station in the scheduling period; and then, according to a scheduling result, regulating and controlling a reducible load, a transferable load and a transferable load, and according to the power generation power value and the power utilization power value, controlling a target pumped storage power station. According to the method, pumped storage is combined with three types of flexible loads including the transferable load, the transferable load and the reducible load to cooperatively perform power scheduling, so that the power system can keep stable power output under different working conditions.

The invention provides an internal power distribution method for a battery energy storage system, which belongs to the technical field of electric energy storage and comprises the following steps of: constructing a charge-discharge function taking SOC as a variable; acquiring a power regulation instruction issued by the power dispatching center, performing distribution by combining a charging and discharging function, and then performing regulation according to a limiting condition; summing the power regulation instructions of all the battery units, calculating the power regulation instructions issued by the power dispatching center and the residual power deviation of the instruction sum, distributing the battery units which do not reach the maximum charging and discharging power in combination with a charging and discharging function, and adjusting according to limiting conditions; and ending the power distribution when a power distribution completion condition of the energy storage system is met, and continuing the distribution when the power distribution completion condition is not met. According to the method, the equalization speed and degree of the SOC of the battery unit are improved, the sustainable regulation and control capability of the BESS is improved, the power regulation instruction tracking effect of the BESS is improved, new energy power fluctuation is stabilized, and safe and stable grid connection of new energy is assisted.

The invention discloses a cooperative control method for a cascaded common DC bus type optical storage system, and the method comprises the steps: 1, collecting the voltage and current of each photovoltaic array, and calculating the output power of each array; 2, collecting the input voltage and current of each H-bridge circuit, and calculating the input power, the average value and the difference value of each H-bridge circuit; 3, calculating a compensation modulation wave of each H-bridge circuit; 4, voltage and current of a common coupling point are collected, and active power and reactive power transmitted between the system and the power grid are calculated; 5, active and reactive power reference values are calculated; 6, calculating the phase angle and the amplitude of the virtual internal potential; 7, calculating the modulation wave of each H-bridge circuit, adding the modulation wave with the compensation modulation wave, and modulating and outputting a driving signal; 8, calculating a reference value of a voltage outer ring of each bidirectional DC / DC converter; and 9, calculating a modulation signal, modulating the modulation signal and outputting a driving signal. According to the invention, the coordination control of the photovoltaic equipment and the energy storage equipment of the cascaded common DC bus type optical storage system can be realized, and the safety and the reliability are improved.

The invention discloses a micro-grid stability enhancing method and system based on ocean energy, and relates to the technical field of micro-grids, and the method comprises the steps: carrying out the load prediction of a micro-grid according to a future time zone, and obtaining the load demand of the micro-grid; performing power generation characteristic prediction on the ocean energy power generation system to obtain an ocean energy power generation prediction map; performing multi-energy complementary scheduling on the ocean energy power generation system to obtain an ocean energy power generation strategy; according to the ocean energy power generation strategy, micro-grid stability is enhanced, and an optimized power generation strategy is obtained; and performing power supply management on the micro-grid according to the ocean energy power generation system based on the optimized power generation strategy. The technical problems that in the prior art, due to power generation intermittency and volatility when ocean energy is connected into the micro-grid, power of the micro-grid is unbalanced, and operation stability and power supply reliability are reduced are solved, and the purpose of optimizing the power supply reliability through prospective load and power generation prediction and multi-energy complementary optimization scheduling is achieved. The power fluctuation is effectively stabilized; and the power supply reliability and the operation stability of the micro-grid are improved.

The application discloses a kind of network type variable-speed pumped storage unit low voltage ride through control method and system, when grid drop fault occurs, grid-side converter maintains transient power angle stability by improving virtual synchronous control (VSG) active power ring, and introduces PI control in reactive power ring to improve response speed, according to low voltage ride through standard calculation and output power instruction;At the same time, based on synchronous rotating coordinate system, current positive and negative sequence separation control is implemented to ensure three-phase current balance under asymmetric fault, and virtual impedance is introduced to suppress transient overcurrent, to prevent converter lockout.Machine-side converter utilizes the adjustable characteristics of unit speed, so that the active power of machine-side follows the power of grid-side, and the transient unbalanced energy is converted into rotor kinetic energy storage by increasing rotor speed, so as to suppress the power fluctuation of DC bus and maintain the stability of DC voltage.The application improves the transient stability and grid-connected safety of the unit during low voltage ride through.

The invention provides a new energy unit transient stability optimization method and system based on active feed-forward, and belongs to the field of new energy power generation. The system includes a current command generator and a current controller. The method comprises the steps of collecting terminal voltage and current of a unit, calculating active power and detecting a transient fault; when a fault is detected, generating an active current instruction through active feed-forward control based on power grid voltage information obtained by an active power signal, a fault voltage amplitude signal and phase locking; meanwhile, a reactive current instruction is generated; a current reference instruction is synthesized, and a converter is driven through closed-loop control to provide power support. According to the method, an active feed-forward mechanism is introduced, so that the new energy unit can respond to the power shortage of the power grid in advance, active and reactive support is quickly provided, frequency drop and power oscillation in the transient process are effectively inhibited, and the transient stability of the power system under the access of high-proportion new energy is remarkably improved.

This invention relates to the field of new energy power generation and energy storage, and in particular to a method and system for limiting power distribution, comprising: setting a total power distribution capacity limit value, wherein the total power distribution capacity limit value is an unsigned value representing the maximum absolute value of power allowed at the grid connection point; calculating in real time the total active power at the connection point between the new energy grid-connected equipment and the power distribution facilities; dynamically calculating the power output limit value of the new energy grid-connected equipment based on the total power distribution capacity limit value and the total active power through a closed-loop control algorithm, wherein the power output limit value includes a positive power limit value and a negative power limit value; and controlling the output power of the new energy grid-connected equipment using the positive power limit value and the negative power limit value as boundaries. This invention, through detailed parameter settings, signal processing, algorithm calculation, and hardware control procedures, fully realizes bidirectional power distribution limitation, effectively protecting the safety of user-side power distribution facilities.

The application discloses a substation openable capacity access evaluation method considering flexible resources, and belongs to the field of substation openable capacity evaluation. First, a substation openable capacity calculation model is established, then a substation optimization scheduling model considering flexible resources is established by considering energy storage systems and orderly charging of electric vehicles, the maximum value of the equivalent load of the substation is obtained, and finally, the substation openable capacity calculation model is solved. On the basis of the existing openable capacity research, the energy storage system is considered to participate in peak load shifting and valley filling, and the electric vehicles are considered to be orderly charged. The minimum peak-valley difference of the substation load and the lowest charging cost of the electric vehicle users are taken as the objective functions, the substation optimization scheduling model considering flexible resources is established, the effects of suppressing new energy power fluctuation, improving new energy consumption level and relieving peak shaving pressure are achieved, the power supply potential of the substation is fully tapped, the user side load peak is reduced, and thus the openable capacity of the substation is improved.

The invention provides a micro-grid energy management method based on a hierarchical genetic algorithm. The micro-grid energy management method comprises the steps that whether a gas turbine of a nearby micro-grid is activated or an energy storage battery of the micro-grid is utilized is determined according to the power supply condition; whether unused micro-grid resources exist or not is checked, and gas turbines of other micro-grids continue to be used; if the micro-grid still has insufficient power supply after using the gas turbine, entering a standby process, and using energy storage batteries of other micro-grids; energy storage batteries of other micro-grids are continuously used according to requirements until all power requirements are met; repeatedly executing each micro-grid until the power supply and demand balance of all micro-grids are processed; and updating the current time to the next measurement moment, and circularly executing in a 24-hour operation period. According to the method, two layers of optimization models are established, the upper layer aims at reducing power loss, improving voltage distribution and smoothing power fluctuation of power distribution network operation, and the lower layer aims at reducing MG operation cost and pollution emission.

The invention belongs to the related technical field of energy systems, and provides an energy router optimization method and system based on information physical fusion, an energy router system is constructed into a directed graph model, a node set represents various physical devices, and an edge set represents an energy flow path between nodes; carrying out shortest path search by adopting a path search algorithm, optimizing a minimum loss energy path for a source-load in real time, and generating a dynamic routing table; on the basis of economic flow and power flow, an energy storage carbon collaborative optimization target is introduced, a multi-target optimization model is constructed, and dynamic optimization of an energy transmission path, rapid stabilization of power fluctuation and unified optimization of economic and carbon emission targets are realized.

The invention provides a grid-connected and off-grid control system and method for a wind turbine generator. A control module judges a system operation mode by monitoring a real-time state of a power grid side of a boosting transformer. When the power grid is normal, the wind turbine generator generates power through the boosting transformer in a grid-connected mode and supplies power to the power grid preferentially. And when the power grid has a fault or the voltage fluctuation exceeds a threshold value, switching to an off-grid mode, and supplying power to a local load by the wind turbine generator, the energy storage module and the diesel generator set. The power utilization requirements in the grid-connected mode and the off-grid mode are determined through the simulation load, whether power distribution is reasonable or not is verified according to the power utilization requirements, and stable power supply of the power utilization load is ensured. In the grid-connected mode, the control module adjusts the output power of the wind turbine generator and controls the charging and discharging of the energy storage module according to the demand of a power grid and the power generation capacity of the wind turbine generator, so as to stabilize the power fluctuation; in the off-grid mode, the control module coordinates the output of the wind turbine generator set, the diesel generator set and the energy storage module according to the change of the electrical load.

The invention provides an electrochemical energy storage low-voltage distribution network voltage treatment method based on a heuristic algorithm, and relates to the technical field of power grid dispatching, and the method comprises the steps: 1, carrying out the prediction of a transformer area load; 2, making a first time scale scheduling plan of energy storage equipment, and planning energy storage active power; 3, high-frequency power flow checking is carried out, and a checking result is obtained; step 4, checking whether the node voltage has a voltage out-of-limit risk or not; if the out-of-limit risk exists, executing the step 5; if the out-of-limit risk does not exist, executing the step 6; 5, starting a high-frequency energy storage scheduling plan correction algorithm to obtain a second time scale scheduling plan; step 6, generating a scheduling instruction of this time, and executing an energy storage operation; 7, judging whether the current scheduling period is still in the current scheduling period or not; if the current scheduling period is in the current scheduling period, executing the step 3; if the current scheduling period is not in the current scheduling period, executing the step 1; the problem of out-of-limit of a low-voltage power grid is solved by using electrochemical energy storage equipment.

This invention discloses a fully controlled rectifier on the engine side and its control method. The fully controlled rectifier power conversion scheme of this invention has strong control capability. It can change the hydraulic fluid flow rate by controlling the engine speed, and suppress power fluctuations in conjunction with the hydraulic motor and hydraulic accumulator. It can greatly reduce the capacity of the system energy storage link. At the same time, it has the advantages of high system efficiency and low output current harmonics. Therefore, this invention uses a three-phase voltage-type fully controlled rectifier based on IGBT.

The invention relates to the technical field of information, in particular to an intelligent charging pile control method and system supporting light storage linkage. The method comprises the following steps: obtaining real-time output data of a park photovoltaic power generation system, a park short-time prediction load, charging state information of a new energy vehicle, energy storage state data of a fast charging and discharging energy storage device and vehicle use time of a user; reading the real-time output data, the park short-time prediction load and the energy storage state data according to a preset scheduling period, and judging whether light abandoning and power gaps exist in a next scheduling period; when the light abandoning exists, scheduling the new energy vehicle in a chargeable state to consume the light abandoning electric quantity for charging, and recording the consumed electric quantity; when the power gap exists, the new energy vehicle meeting the preset discharging condition is controlled to reversely discharge towards the park through the charging pile, and the discharging electric quantity is recorded; and respectively carrying out charge metering on the charging electric quantity, the consumption electric quantity and the discharging electric quantity participated by the new energy vehicle to obtain a final charging charge.

This invention relates to a control method for smoothing power fluctuations in new energy grid-connected power in smart power plants. The method includes: collecting power fluctuation data from the new energy grid-connected end of the smart power plant and multi-dimensional state data of battery cell groups within an energy storage cluster; classifying smoothing task types based on the fluctuation characteristics of the power fluctuation data; calculating a suitability index for each battery cell group to each smoothing task type based on a suitability algorithm and multi-dimensional state data to quantify the matching degree of each battery cell group to different smoothing task types; constructing a dual-objective control function that integrates power smoothing and battery cell group consistency based on the suitability index; solving the dual-objective control function to obtain a composite smoothing control command; and driving the corresponding battery cell group to perform charging and discharging actions based on the composite smoothing control command to complete the coordinated smoothing of the energy storage cluster. This invention achieves refined management and control of new energy grid-connected power fluctuations by ensuring grid-connected stability and battery cell consistency.

A wind-solar hybrid energy storage system is composed of a wind power generation system, a photovoltaic power generation system, a power grid system, an electrochemical energy storage system, a heat energy storage system, a load system, a PCS system and a mode switching system, and the wind power generation system, the photovoltaic power generation system and the power grid system are connected in parallel to an alternating current bus through circuits. The electrochemical energy storage system and the thermal energy storage system are also connected in parallel to the alternating current bus through the DC-AC system, and the load system is connected in the alternating current bus through the transformer; and the PCS system and the mode switching system are connected with the whole wind-solar hybrid storage system through logic signals and programming functions to realize process control and mode switching.