670results about "Polyphase network asymmetry elimination/reduction" patented technology

The invention relates to the technical field of power dispatching management and control, and discloses a power distribution network power dispatching method based on a virtual power plant AI large model and demand response, and the method comprises the steps: collecting the operation data of a power distribution network, and constructing a feature vector; an AI large model is adopted to calculate and predict load output, and joint uncertainty information is output; calculating a system power unbalance amount, and generating a scheduling strategy; issuing a scheduling instruction corresponding to the scheduling strategy and executing the scheduling instruction; comprehensive performance evaluation indexes are calculated, and whether a performance reduction reason diagnosis mechanism is started or not is judged; according to the method, the AI large model is adopted, the load power, the photovoltaic output and the wind power output are predicted at the same time through a multi-task learning strategy, and the correlation among multiple variables is fully utilized; by constructing a multi-objective optimization model, comprehensively considering economy, safety and reliability and adopting an improved particle swarm optimization algorithm for solving, coordinated optimization configuration of demand response resources is realized, power grid fluctuation is effectively reduced, and power supply reliability is improved.

The embodiment of the invention discloses a collaborative optimization method and device for the power quality of a high-permeability transformer area. The method comprises the following steps: acquiring three-phase voltage, three-phase current and environment temperature data; the voltage deviation, the three-phase unbalance degree, the total harmonic distortion rate and the reactive vacancy of the high-permeability transformer area are calculated based on the three-phase voltage and the three-phase current; taking voltage deviation as a primary optimization target, considering optimization of three-phase unbalance degree, total harmonic distortion rate and reactive vacancy, constructing a multi-target optimization function, and carrying out dynamic constraint on an optimization process based on environment temperature data; solving the multi-objective optimization function by adopting an optimization algorithm to obtain a group of optimal decision variables, and converting the decision variables into corresponding control instruction sets; and the control instruction set is issued to the on-load voltage regulating transformer, the reactive compensation equipment and the power electronic compensation module for execution. Therefore, the problems of voltage out-of-limit, harmonic pollution and imbalance are effectively solved through a multi-target cooperation and temperature self-adaption mechanism.

The invention is suitable for the technical field of power electronics and power transmission, and provides a low voltage ride-through control method and system for a network construction type converter, and the method comprises the steps: carrying out the conventional VSG control according to a VSG control strategy, and continuously monitoring the difference between the voltage of a power grid and a set reference value, so as to judge whether a fault occurs or not; when it is detected that the power grid breaks down, homodyne control is carried out on an active power control ring and a reactive power control ring of the grid-forming type converter so as to fix the phase and the amplitude of the output voltage of the converter; calculating and injecting a positive sequence compensation voltage and a negative sequence compensation voltage according to the drop degree of the power grid voltage; and according to the predicted impact current value, dynamically calculating and inputting adaptive virtual impedance. The power angle and the voltage in the fault period can be ensured to be stable, transient overcurrent is effectively restrained, and large power fluctuation is not caused.

The invention discloses a global cooperative control method and system for unbalanced fault ride-through of a multi-terminal DC power grid, and the method comprises the steps: constructing a fault detection model based on the positive sequence voltage drop depth and the negative sequence voltage size of the AC side of each converter station, automatically judging an unbalanced fault, and carrying out the fault detection when the fault is detected. Calculating the maximum allowable active current based on a fault station unbalanced current control model to carry out current limiting control on the converter station; and carrying out output power adjustment on the DC voltage deviation of the non-fault station based on the non-fault station power cooperation model. Asymmetric fault ride-through is carried out by using a constrained and optimized current instruction generation algorithm, and the capacity of a converter is dynamically and accurately distributed and utilized in a limited manner, so that the voltage support capability of a fault alternating-current power grid is maximized, and globally optimized adaptive power distribution is realized; the power of the non-fault station is calculated and distributed in a centralized manner and is dynamically adjusted according to the real-time available capacity, so that the self-adaption and global optimization of the running state change of the power grid are realized, and the fault handling toughness and reliability of the power grid are improved.

The invention relates to the technical field of photovoltaic power generation cloud platforms, and discloses a multi-site energy storage cluster cloud scheduling platform based on photovoltaic power generation prediction, and the platform employs a real-time data collection and space-time synchronization module to carry out the timestamp alignment and space grid processing of multi-source heterogeneous data. In combination with a dynamic priority scheduling mechanism of a prediction task distribution module based on volatility and a power grid security situation, the effects of cooperative execution of prediction tasks and priority guarantee of key tasks are achieved; through containerized parallel reasoning and consistency Hash load balancing technology of a distributed prediction calculation module, time consistency of a multi-node prediction result is ensured, and a rolling optimization algorithm and a time sequence constraint embedding strategy of a unified scheduling decision module are adopted. Accurate calculation of power generation unbalanced power and time sequence consistency generation of an energy storage strategy are achieved, and through instruction verification and conflict detection and filtering frequency reduction processing of a smoothing module, the effects of prolonging the service life of equipment and guaranteeing stable operation of a power grid are achieved.

The invention relates to a DSTATCOM harmonic current detection and tracking control method, which comprises the steps of collecting instantaneous current and instantaneous voltage of a load side of a power distribution network, processing a power distribution network instruction current signal detected in real time through an improved dq0 compensation amount detection algorithm, obtaining a to-be-compensated negative-sequence frequency doubling component and a to-be-compensated specific subharmonic component, and carrying out harmonic current tracking on the to-be-compensated negative-sequence frequency doubling component and the to-be-compensated specific subharmonic component. The obtained negative sequence frequency doubling component and the specific sub-harmonic component to be compensated are sent into a current inner loop, three-phase reference voltage is obtained through a PIR controller, generation of PWM pulses is controlled, then on-off of a DSTATCOM bridge arm switching tube is controlled, and a closed-loop control system is formed. A path for extracting an orthogonal component in instruction current is reconstructed, the positive sequence fundamental current detection error under the three-phase imbalance working condition is remarkably reduced, a compensation current control strategy based on a PIR controller is adopted in a current inner loop, and zero-static-error tracking of a frequency doubling component and a low-frequency harmonic component in compensation current is achieved.

Disclosed in the present invention are an operation and maintenance method and apparatus for severe overload and three-phase imbalance of a distribution transformer, and a medium. The method comprises: by quantifying the degree of difference between devices as the distance between two points, performing clustering analysis on an operation and maintenance state of a distribution transformer, so as to obtain a classification result; and on the basis of a short-term single-phase severe overload category and a short-term three-phase severe overload category in the classification result, establishing a multi-objective optimization model and solving same, so as to obtain a multi-objective optimization result, and on this basis, formulating a day-ahead source-load distribution transformer operation and maintenance plan and performing operation and maintenance control on a distribution network. The present invention provides an operation and maintenance method and apparatus for severe overload and three-phase imbalance of a distribution transformer, and a medium. Solving a multi-objective optimization model to obtain a multi-objective optimization result can ensure that operational risks caused by three-phase imbalance are reduced while balancing three-phase loads, such that differentiated operation and maintenance can be achieved by means of a day-ahead source-load distribution transformer operation and maintenance plan, thereby solving the problem of difficulty in managing severe overload and three-phase imbalance of a distribution transformer to formulate a targeted operation and maintenance plan.

The embodiment of the invention discloses an unbalanced load control method, device and equipment based on parallel energy storage converters. A specific implementation mode of the method comprises the following steps: acquiring an electrical information set of the converter; for each parallel energy storage converter, the following generation steps are executed: carrying out sequential extraction on converter three-phase voltage information and converter three-phase current information; performing voltage frequency recovery control on the parallel energy storage converter to obtain a positive sequence voltage component set; performing voltage and current inner and outer loop control on the positive sequence voltage component set to obtain a converter bridge arm voltage control information set; performing suppression control on the three-phase negative sequence electrical information set and the three-phase zero sequence electrical information set to obtain a converter compensation signal set; and generating a converter switch control information set, and performing unbalanced load control processing on the parallel energy storage converter. According to the embodiment, the regulation and control capability and timeliness of the parallel energy storage converter under the unbalanced load condition can be efficiently regulated, and the safety of the energy storage converter is improved.

The invention discloses a distribution network electric energy quality robust optimization method for high-permeability roof photovoltaic access, and belongs to the technical field of distribution network large-scale roof photovoltaic aggregation, quality improvement and consumption, and the method comprises the following steps: constructing a distribution network hierarchical control architecture; the node voltage, the harmonic distortion rate and the three-phase unbalance degree of the power distribution network are monitored in real time; establishing a linear power flow model based on the collected load and photovoltaic output data, and defining constraint conditions; combining the photovoltaic output fluctuation interval and the load fluctuation interval to construct a robust optimization model with the purpose of maximizing the photovoltaic access capacity; according to the method, the photovoltaic output interval and the load interval are defined, the optimization model with the maximum photovoltaic capacity as the target is constructed, the constraint generation algorithm is used for solving, the uncertainty is actively adapted, compared with a traditional deterministic optimization model, the photovoltaic bearing capacity is improved, the problem that the node voltage fluctuation exceeds the safety range due to photovoltaic output intermittence is avoided, and the photovoltaic output efficiency is improved. And the maximum photovoltaic access capacity is realized to restrict the consumption of the distribution network.

The invention relates to an asymmetric fault ride-through cooperative control method and system for a virtual synchronous generator, and belongs to the technical field of power electronics and new energy power generation. Aiming at the problems of three-phase current asymmetry, overcurrent, transient instability and the like faced by a virtual synchronous generator when a power grid has an asymmetric fault, the method comprises the following steps: firstly, setting a negative sequence current reference to be zero through positive and negative sequence separation control so as to keep output current symmetry, and freezing a reactive power ring; secondly, comprehensively considering current amplitude limiting, voltage supporting capacity and system capacity, and dynamically calculating optimal solutions of positive sequence excitation reference amplitudes under different fault depths; finally, positive and negative sequence power components and excitation dynamic changes are considered, an active reference instruction real-time dynamic adjustment method is provided, and a power angle is controlled to be stabilized at a target value by adjusting a power reference value in real time. The method can effectively improve the transient stability during the fault ride-through period, maximally supports the power grid voltage while ensuring that the current is not out of limit, and improves the system capacity utilization rate.

The invention discloses a control method for a self-adaptive voltage-regulating and energy-saving solid-state transformer of a power distribution network, which relates to the technical field of power distribution network regulation and control, and comprises the following steps: firstly, acquiring voltage, current, power and constraint information of a low-voltage side in the operation of the solid-state transformer, detecting natural voltage-regulating events such as superior tapping deflection, voltage regulator action and reactive switching, and performing voltage regulation on the solid-state transformer; establishing an evidence chain record containing a timestamp, a steady-state window and a quality identifier, and not injecting identification disturbance; secondly, intercepting a steady-state window and avoiding a transient state according to an evidence chain, estimating voltage-power elasticity, and performing confusion filtering and quality scoring; constructing a regression baseline in parallel, synthesizing a contrast baseline and an event anchoring calibration baseline, fusing to obtain anti-fact baseline power and uncertainty, and calculating energy saving amount; and finally, according to the uncertainty, the quality score, the end margin and the device constraint gating, the voltage setting is updated, and safe rollback is carried out, so that the energy-saving amount can be audited, the control is more stable, and the out-of-limit risk is reduced.

The enclosure and / or mounting framework for a modular multilevel energy system includes a set of similar cabinets configured for orthogonal alignment of modules. The cabinets are configured so that modules of a particular phase are oriented along an axis parallel to a reference plane. Modules of the same level but different phases of the multilevel arrangement are mounted within each cabinet and positioned so that the modules for each phase are at a defined distance from the reference plane. The cabinets are positioned equidistant and orthogonal to the reference plane, minimizing the distance for connections between modules of the same phase across multiple cabinets and facilitating convenient addition or removal of levels. The framework also facilitates data and reference signal connections between the modules' local control devices and between the local control devices and a master control device for the system.

The invention discloses a power distribution network multi-target feeder network reconstruction optimization method and device considering a distributed power supply, equipment and a storage medium, and the method comprises the steps: triggering a multi-mode reconstruction process through presetting an optimization target, a time scale and a safety constraint parameter; integrating real-time data and prediction data into a unified analysis section by adopting a dynamic weighted fusion algorithm; on the basis of load rate calculation and state evaluation results, a load unbalance degree, network loss and a cost function of operation times are considered to search a transfer path, a weight coefficient is dynamically adjusted, and an optimization strategy is generated; and generating a strategy combination through loop iteration, and executing and generating a report after multi-layer security check. According to the power distribution network multi-target feeder network reconstruction optimization method and device considering the distributed power supply, the equipment and the storage medium provided by the invention, multi-target optimization of load balance and line loss reduction of the transformer and the line is realized on the premise of meeting security constraints, and the economy and reliability of power distribution network operation are improved.

The invention discloses a district energy storage three-phase charging and discharging control method based on a fuzzy control strategy, and the method comprises the steps: obtaining the historical load data and related characteristic data of a district, determining an optimal parameter combination of a variational mode decomposition model based on the historical load data through employing a subwolf optimization algorithm, decomposing the historical load data through the combination, and obtaining a district energy storage three-phase charging and discharging control result. And obtaining a plurality of intrinsic mode components. And inputting the IMF components and the feature data into a constructed time convolutional network prediction model, and performing load prediction and reconstruction on each component to obtain a transformer area short-term load prediction value. A predicted operational dataset is obtained based on the predicted load. A double-layer fuzzy controller is constructed based on transformer area historical load data, energy storage charging and discharging power of each phase is obtained through a fuzzy reasoning method, and dynamic power balance and cooperative control of three phases of a transformer area energy storage system are achieved. According to the invention, load randomness, three-phase imbalance and energy storage regulation and control requirements of the transformer area can be effectively met, and the power quality and power supply reliability of the transformer area are improved.

The invention relates to the technical field of intelligent operation of a power distribution network, in particular to an intelligent three-phase imbalance treatment method, which comprises the following steps of: firstly, acquiring three-phase current, three-phase voltage and electrical characteristic quantity of each single-phase load, and carrying out commutation adaptability evaluation on the load based on a real-time power factor, a current harmonic distortion rate and a load power flow direction; and calculating the three-phase unbalance degree of each power supply branch, identifying an extreme branch with the unbalance degree exceeding the standard, and screening out loads with optimal commutation adaptability parameters to form a candidate load set. And generating a commutation priority sequence for the candidate load through a historical commutation frequency and real-time contribution degree two-factor model. And triggering zero-millisecond seamless commutation under the conditions of meeting a safe voltage threshold and equal voltage time, verifying a switching result after commutation, limiting the number of commutation times of single treatment, and monitoring the three-phase unbalance degree in real time until the three-phase unbalance degree is recovered to a qualified range. According to the invention, the accuracy and safety of the commutation decision can be improved, and the dynamic balance adjustment of the three-phase load is realized.

The invention, which relates to the technical field of the new energy vehicle power supply system, discloses a dynamic load balancing power supply system for a new energy vehicle charging pile cluster, comprising a data acquisition module, a load prediction and decision module, a dynamic power distribution execution module and a safety protection and communication module. The data acquisition module is used for monitoring three-phase electrical parameters, temperature and electric energy quality data of the charging pile cluster in real time; the load prediction and decision module is connected with the data acquisition module and is used for predicting a load trend based on historical and real-time data and generating a dynamic regulation and control strategy; the dynamic power distribution execution module is connected with the load prediction and decision module, accurate prediction and rapid dynamic regulation and control of the charging load can be achieved, the problems of three-phase imbalance, transformer loss, harmonic pollution and the like of a power distribution system caused by randomness and volatility of charging behaviors are effectively solved, and the intelligent graded safety protection capability is achieved.

The invention discloses a novel flexible distribution transformer based on a hybrid voltage regulation topological structure and a control method. The transformer comprises a mechanical on-load voltage regulation unit used for realizing wide-range and low-frequency voltage basic regulation; the power electronic voltage regulating unit is used for realizing continuous and rapid fine voltage regulation; wherein the output end of the mechanical on-load voltage regulation unit and the compensation end of the power electronic voltage regulation unit are connected in series to jointly form a hybrid voltage regulation loop, so that the flexible distribution transformer can cooperatively perform wide-range basic voltage regulation and high-precision dynamic compensation; according to the invention, the OLTC can operate at a better position, and switching is carried out only when necessary, so that the action frequency of the OLTC is reduced, and the overall reliability of the system is improved.

The invention relates to a transformer area group optimization method and device, computer equipment and a readable storage medium. The method comprises the following steps: obtaining voltage, current and frequency of each edge node in a to-be-optimized transformer area group, photovoltaic output data of the transformer area group, energy storage charge and discharge state data and electric vehicle charging power data, and presetting various operation constraints set for the transformer area group; and inputting the voltage, the current, the frequency, the photovoltaic output data, the energy storage charge and discharge state data, the electric vehicle charging power data and the various operation constraints into a pre-constructed multi-target optimization model, obtaining optimization strategies meeting the various operation constraints, and performing optimization guidance on the operation of the transformer area group according to the optimization strategies. The transformer area group level multi-objective optimization task is calculated through the cloud high-performance computing cluster, so that an optimization strategy which is more adaptive to the current transformer area group is obtained, edge setting is controlled according to the optimization strategy to execute optimization output, and the load balance and operation robustness of the transformer area group are ensured.

The invention relates to a direct-hanging type energy storage inverter power module SOC equalization control method and hardware suitable for an unbalanced output current working condition, and the method comprises the steps: carrying out the state sensing of a power grid, carrying out the positive and negative sequence separation based on a double-dq coordinate system, and obtaining the amplitude and phase information of current and voltage components; generating a three-phase basic voltage reference value meeting the power demand of the power grid based on the deviation between the decoupled current component and the current instruction; according to the unbalanced working condition parameters of the power grid and the charge state difference of each phase of battery, the zero-sequence voltage injection amount required by inter-phase equalization is calculated; calculating the voltage compensation amount of each power module according to the charge state difference of each power module in the same phase; synthesizing the three-phase basic voltage reference value, the zero-sequence voltage injection quantity and the voltage compensation quantity of each power module to generate a modulation signal of each power module; a switch control signal is generated through pulse width modulation, and inter-phase and intra-phase adaptive SOC equalization control is realized; hardware is implemented based on the method.

The invention discloses an impedance-adjustable series hybrid cascade static synchronous compensator and a control method thereof. The method comprises the following steps: acquiring grid-connected point voltage and load current information, and performing positive and negative sequence component analysis on the grid-connected point voltage and load current information; calculating a compensation line current component with the same size and opposite phase as the positive and negative sequence components of the load current so as to compensate the reactive power and the negative sequence current of the grid-connected point load; zero-sequence injection current used for in-phase active power balance is calculated, and reference operation current of each cascade branch is obtained; calculating the output reactive power of each phase based on the cascade branch voltage of each phase and the reference operation current, calculating the corresponding trigger angle of each phase thyristor under the condition that the adjustable impedance bears all phase voltages and generates all reactive power, and generating a pulse control signal to realize the control of the adjustable impedance; and each phase cascade converter adopts quasi-proportional resonance control to track the reference operation current, and generates a corresponding PWM signal to respectively control each phase cascade converter.

The present application belongs to the field of flexible AC transmission and distribution and power electronics, and discloses a unified power quality conditioner and method to achieve the goal of power quality management. The device comprises a DC bus and a compensation unit and a regulating unit connected thereto; the compensation unit comprises a series compensation subunit and a parallel compensation subunit; the series compensation subunit is used for compensating the load voltage; the DC bus is used for providing compensation energy for the series compensation subunit; the parallel compensation subunit is used for compensating the load harmonic, three-phase imbalance and reactive current, and also used for providing voltage support for the DC bus and energy for the series compensation subunit; the regulating unit comprises a parallel super capacitor energy storage system and a photovoltaic power generation system; the super capacitor energy storage system comprises a super capacitor and a first DC / DC converter; the photovoltaic power generation system comprises a photovoltaic array and a second DC / DC converter. The present application solves the coupling problem of the series and parallel inverters of the device, and makes the DC side bus voltage stable.

The invention relates to the technical field of digital ring main unit power distribution operation regulation and control, and discloses an intelligent power distribution operation regulation and control system of a digital ring main unit, which comprises a state sensing module, a logic judgment unit and an execution regulation and control module, the logic discrimination unit identifies a feeder power distribution state according to the power flow distribution data and generates a topology reconstruction scheme; the execution regulation and control module drives a switch to act, migrates the feeder loop to a target bus section, forms transition impedance by using closing pre-breakdown current during migration, inhibits transient inrush current, drives an impedance compensation branch to access according to a zero-sequence current vector of the feeder loop, and counteracts neutral point potential drift by using potential bias generated by reactive power injection; according to the method, the power distribution topology is converted from static hard connection to logic remapping, circuit transient state physical process reconstruction and stock hardware redundancy mining are utilized, node power vector balanced distribution is achieved under the condition that the feeder line continuous power receiving state is maintained, and power flow randomness conflicts are eliminated.

A voltage regulation method, system and device for a high photovoltaic-penetration distribution transformer area, and a medium. The method comprises: constructing a solution framework for a voltage regulation problem of a high photovoltaic-penetration distribution transformer area by defining the state, action, and reward of a reinforcement learning agent; by interacting the agent with a simulation environment, training a policy function of the agent to obtain a trained policy network; and inputting an actual environment state in which voltage regulation is to be performed into the trained policy network to obtain a voltage regulation policy outputted by the agent. In the method of the present application, a voltage regulation policy for the distribution transformer area can be calculated when neither a distribution transformer area topological parameter nor predicted photovoltaic output is determined; and the voltage of each node of the distribution transformer area is within an allowable range, while the degree of three-phase voltage imbalance is minimized, thereby realizing precise voltage regulation of a high photovoltaic-penetration flexible interconnected distribution transformer area under conditions of unknown distribution transformer area parameters and inaccurate predicted photovoltaic data.

The invention discloses an unbalance compensation method and system for an energy storage converter, and belongs to the field of power electronics and electric energy quality treatment. The system comprises a power instruction analysis module, a current reference generation module, a negative sequence current control loop module, a zero sequence control loop module, a positive sequence control loop module, a pulse width modulation module, a first conversion module and a second conversion module, the current reference generation module is respectively connected with the negative sequence current control loop module and the positive sequence control loop module; the third end and the fourth end of the negative sequence current control loop module are connected with the pulse width modulation module through the second conversion module; the third end and the fourth end of the zero sequence control loop module and the third end and the fourth end of the positive sequence control loop module are connected with the pulse width modulation module through the first conversion module. According to the method, the energy storage and compensation functions of the PCS can be seamlessly integrated under a unified control framework, so that the control system is greatly simplified, and the performance is remarkably improved.

The invention relates to the technical field of electric energy quality treatment, in particular to a collaborative treatment system and method based on multi-class electric energy quality adjustment resources. The system comprises an electric energy quality disturbance generation device, an electric energy quality interference source device, a harmonic current generation device, a line impedance simulation device, a data acquisition device, an electric energy quality diagnosis module and a coordinated scheduling module. According to the invention, independent or coupled simulation of various disturbance types such as voltage sag, harmonic wave, imbalance and flicker is supported based on various types of power quality regulation resources, optimal scheduling and cooperative control of various types of regulation resources such as source, network and load are realized, modular design is realized, plug and play and test verification of various treatment devices are supported, and the power quality regulation system is suitable for large-scale popularization and application. Through line impedance simulation and multi-working-condition setting, an actual power grid operation environment is approached, and the system is especially suitable for a high-proportion new energy and power electronic equipment access scene.

The invention discloses an intelligent reactive power automatic compensation control device and method, and relates to the technical field of reactive power compensation of a power system. The device comprises a power supply input module, a sampling and signal conditioning module, a high-speed ADC module-block, an FPGA high-speed processing unit, a data storage module, an AI decision unit, a control driving module, a multi-channel capacitor switching device and a capacitor bank module. Through combination of the multi-channel capacitor switching device and an intelligent dynamic control technology, matrix-type accurate switching control of the capacitor bank is realized, the corresponding capacitor bank can be flexibly switched based on reactive power data dynamically acquired in real time, instant accurate compensation of reactive power capacity is achieved, and the reactive power capacity of the capacitor bank is accurately compensated. And the adaptability and the flexibility of compensation under different load working conditions are ensured.

The invention provides a load balancing method and system for an automobile charging demand, and is applied to the field of electric data processing. According to the method, the charging load distribution information is identified and dynamically managed and controlled under the multi-layer architecture of the power distribution network, closed-loop control from load identification to model construction to risk prediction to constraint update is realized, the operation state of the charging pile and the operation constraint of the power distribution network can be sensed in real time under the condition of centralized charging of the electric vehicle, and the reliability of the system is improved. The power demand is predicted in advance, a potential risk area is identified, local feeder overload, voltage out-of-limit and electric energy quality deterioration are prevented, risk node power can be actively reduced by introducing risk upper limit judgment and protection measures, three-phase loads are balanced, and stable power supply is guaranteed.

The embodiment of the invention relates to the technical field of intelligent compensation control, and provides an energy storage converter compensation control method and system based on electric energy quality assessment, and the method comprises the steps: firstly carrying out the comprehensive quantitative assessment of the electric energy quality of a grid-connected point, and precisely recognizing the severity of voltage deviation, harmonic waves, imbalance and other problems; then, on the basis of a multi-attribute utility theory, converting each electric energy quality index and an active task demand into a dynamic weight so as to scientifically quantify real-time urgency of different compensation tasks; and finally, carrying out optimal allocation on the limited capacity of the energy storage converter according to the dynamic weight system. Through the method, a compensation strategy can be converted from a fixed priority mode to a dynamic self-adaptive mode, and it is ensured that when the capacity of the energy storage converter is limited, the current most urgent electric energy quality problem is preferentially processed, so that the comprehensive compensation effect and the power grid supporting capacity of the energy storage system under the complex working condition are remarkably improved.

The invention belongs to the field of flexible power distribution network optimization scheduling, and discloses a middle and low voltage power distribution network layered optimization scheduling method, system, equipment and medium, and the method comprises the following steps: constructing a middle and low voltage flexible power distribution network layered distributed optimization model considering source-network-load-storage multi-element controllable equipment; the middle and low voltage flexible power distribution network layered distributed optimization model is converted into a robust part observable constraint Markov decision process model; and according to the robust part observable constrained Markov decision process model, establishing an optimal scheduling solution algorithm based on original dual Lagrange multi-agent deep reinforcement learning, and solving the robust part observable constrained Markov decision process model to generate a control instruction. The invention provides a new effective way for collaborative optimization scheduling of large-scale controllable resources in a complex environment.