24results about How to "Reduce network loss" patented technology

The invention discloses a power distribution network regulation and control method and system. The method comprises the steps that new energy output data, obtained through prediction, of a target power distribution network are acquired; inputting the new energy output data into the power distribution network operation model to obtain power flow data of each node; sensitivity analysis is carried out on the power flow data, clustering is carried out based on a sensitivity analysis result, and nodes are divided into a plurality of initial node groups; correcting the initial node group based on the topological structure information to obtain a plurality of target node groups; respectively inputting the power flow data into a pre-constructed mobile emergency power supply scheduling model and a hybrid intelligent soft switch regulation and control model, and generating a primary regulation and control scheme according to an output result; calculating a reactive power demand of the target node group according to the power flow data and the real-time voltage data, and generating a secondary regulation and control scheme according to the reactive power demand; and executing the primary regulation and control scheme and the secondary regulation and control scheme. According to the method provided by the invention, the real-time voltage regulation and control requirement of the power distribution network is met.

The invention relates to the technical field of image recognition and processing, and discloses a main network energy storage power station planning system and method based on wind-solar space-time correlation, and the system comprises a data collection and preprocessing module which carries out the cleaning and preprocessing of a data collection and preprocessing module; the wind and light space-time characteristic analysis module is used for researching space-time distribution characteristics and reverse peak regulation characteristics of wind power and photovoltaic output and correlation between the space-time distribution characteristics and the reverse peak regulation characteristics; a modeling and simulation module; the scene generation and screening module is used for generating a typical daily operation scene; and the energy storage technology evaluation module is used for comprehensively evaluating the technical performance of different types of stored energy. According to the method, the spatial-temporal distribution characteristics, the reverse peak regulation characteristics and the correlation of wind power and photovoltaic output are deeply researched, the output spatial-temporal correlation model suitable for large-scale wind and light is constructed, the level of accepting and utilizing renewable energy sources by a power grid is greatly improved, and the effect of remarkably improving the absorption capacity of the power grid to the renewable energy sources is achieved.

The invention relates to the technical field of electric power systems, in particular to a power distribution network electric energy quality treatment method and device based on a flexible multi-state switch, and the method comprises the steps: enabling the flexible multi-state switch FMS to be installed on a node in an electric power system according to an actual demand; according to the actual operation data of the three-phase unbalanced power system, a mathematical model of a power distribution network accessed to the FMS is established, the mathematical model of the power distribution network accessed to the FMS comprises an objective function, the objective function takes the minimum total network loss including line loss and FMS operation loss as a reference, and a control strategy and an operation mode of the flexible multi-state switch FMS are determined; the method is applied to FMS-based power distribution network optimization control. A simulation experiment is carried out in an IEEE 33-node power distribution network model, and the result shows that the FMS can effectively reduce the system network loss, improve the voltage level and improve the three-phase unbalance degree. The method provides powerful technical support for application of the flexible multi-state switch in an actual power system.

The invention relates to the technical field of photovoltaic power generation system operation and maintenance, provides a regional power grid multi-point layout new energy synchronous machine reactor system planning and configuration method, and aims to solve the problems of weak voltage supporting capability and transient overvoltage in a high-proportion new energy power system. The method comprises the steps of obtaining power grid basic data, new energy resource data, power system operation data and synchronous machine parameters, training a neural network model by using the obtained data to obtain a planning configuration model, collecting new energy synchronous machine pile system operation data in real time, substituting the new energy synchronous machine pile system operation data into the model to obtain preliminary planning configuration, and verifying the planning configuration through simulation. The historical data and the simulation characteristic data are optimized through a genetic algorithm until a planning configuration scheme meeting the transient overvoltage configuration requirement is found, the stability of a power grid is improved, new energy utilization is optimized, and intelligent planning configuration is achieved.

The invention provides a power distribution network power voltage regulation method adaptive to new energy and related equipment. By explaining AGC and AVC system architectures, conditions and available resources of distributed new energy voltage regulation and power distribution network voltage regulation are comprehensively analyzed and explained, a calculation mechanism of related parameters is introduced and explained, and voltage quality indexes are deeply analyzed in combination with an available equipment operation monitoring function, so that the voltage regulation efficiency is improved. Therefore, the operation state of the power grid is accurately sensed and evaluated. Meanwhile, a line loss classification and calculation mode is defined for the AVC voltage regulation system, a network loss optimization algorithm is realized, and finally an overall architecture of a peak regulation power supply and distribution network voltage regulation and network loss optimization operation mode is constructed. The invention aims to improve response speed and flexibility, adapt to complex power grid structures and variable load conditions, realize optimal reactive power distribution and minimum network loss, reduce dependence on manual intervention, reduce operation and maintenance difficulty and improve application effect in a modern power system.

The invention is suitable for the technical field of optimal scheduling of micro-grids, and provides a distributed optimal scheduling method, system and device of an interconnected micro-grid and a medium. The method comprises the following steps: constructing a target function of a scheduling model by taking power generation fuel cost, maintenance management cost, depreciation loss cost, energy storage device life cost and economic loss of interaction between a micro-grid and a power distribution network as target variables; determining constraint conditions of the scheduling model, wherein the constraint conditions comprise a power balance constraint, an output constraint of each power generation unit, a ramp rate constraint of a controllable power generation unit, a tie line transmission power constraint, a charge and discharge capacity constraint of an energy storage device and an interaction power fluctuation amplitude constraint of a micro-grid and a power distribution network; optimizing the scheduling model by using an improved grey wolf algorithm to obtain an optimized target scheduling model; and inputting the related parameters of each microgrid source obtained in real time into the target scheduling model to generate an optimal solution of the target function, thereby effectively improving the comprehensiveness and accuracy of the optimized scheduling of the interconnected microgrid.

The invention discloses a power distribution network multi-reactive power resource cooperative scheduling method and system, a terminal and a medium, and relates to the technical field of power scheduling. An electric vehicle aggregator is regarded as a charging load and a continuous reactive power compensation device to participate in power grid dispatching; establishing a power distribution network deterministic reactive power optimization model under the participation of the electric vehicle; converting the power distribution network deterministic reactive power optimization model according to the scene data to obtain a scene clustering-based two-stage distribution robust reactive power optimization model; and constraining the probability deviation of each discrete scene, and solving by adopting a column sum constraint generation algorithm. Through scene clustering, EV charging load fluctuation, EV reactive power capacity fluctuation and conventional load fluctuation which are finally caused by various random factors can be effectively represented, and the problem that large-scale electric vehicles participate in distribution network reactive power optimization and are difficult to estimate, regulate, control and cooperate is solved.

The invention relates to the technical field of power distribution networks, in particular to an electrified traffic-power distribution network dynamic double-layer optimization scheduling method, which comprises the following steps of: constructing a target function of a power distribution network optimization scheduling model by taking the minimum sum of active power loss of a power distribution network in all time periods within scheduling time as a target; constructing a power distribution network optimization scheduling model constraint; on the basis that the traffic network is in a mixed DUE state under the balanced path departure rate, constructing a dynamic balance constraint condition in the traffic network optimization scheduling model; constructing a dynamic equilibrium differential variational inequality in the traffic network optimization scheduling model; and constructing an electrified traffic-power distribution network dynamic double-layer optimization scheduling model by taking the power distribution network optimization scheduling model as an upper-layer model and the traffic network scheduling optimization model as a lower-layer model. According to the invention, by controlling the charging electricity price time and space distribution, the comprehensive travel cost of the user is controlled to realize ordered charging, the traffic flow distribution is optimized, the power distribution network loss is effectively reduced, the flexible resources of double networks are fully utilized, and the load fluctuation is stabilized.

The invention discloses a partition-based distributed control method and system for a medium and low voltage AC / DC power distribution network, and relates to the field of power distribution network control, and the method comprises the steps: on the basis of partitions of the medium and low voltage AC / DC power distribution network, setting an agent as a controller in each partition, and carrying out the distributed control through employing a multi-agent technology. The method comprises the following steps: firstly, proposing a distributed control model of the medium and low voltage AC / DC power distribution network, and performing optimization control on adjustable resources in a region to reduce network loss in the region; then, converting the multi-time-scale and multi-device coordinated optimization model into a Markov process, and defining a state space, an action space and a reward function; and finally, solving the Markov process by using an MAPPO algorithm to realize partition-based distributed control of the medium and low voltage AC / DC power distribution network. According to the invention, distributed parallel control can be realized for reducing network loss and eliminating voltage out-of-limit problems, and compared with centralized control, the control complexity of the medium and low voltage AC / DC power distribution network is reduced.

The invention discloses an economical and reliable distribution network form architecture optimization method, which comprises the following steps of: calculating economical and reliable indexes according to basic architecture information of a distribution network and basic information of a load point; taking the minimum economic and reliable indexes as a multi-objective function, and taking the voltage, current, power balance and net rack of the distribution network line as constraint conditions to construct a multi-objective optimization model; a multi-objective optimization quantity value is solved through an ant colony algorithm, an optimal solution set is described to represent an optimized distribution network networking form architecture, a power grid form architecture with higher robustness, convergence and reliability is built, the power failure area is reduced, the influence caused by power failure is reduced, and economic operation of the power distribution network is achieved.

The invention discloses a regulation and control method for realizing power grid demand side response based on pure electric heavy truck load aggregation, and the method comprises the steps: firstly, carrying out the analysis of a load aggregation group, and analyzing the historical baseline load, response capability, power supply price and electricity selling price of a pure electric heavy truck; according to a load aggregation group analysis result, selecting a response load, calculating a predicted income and a price subsidy, and forming an optimal response strategy to be issued; then, receiving a power grid dispatching instruction for a charging station and a pure electric heavy truck user, and implementing demand response; and finally, counting real-time loads, historical baseline loads, loads to be responded and response implementation conditions of different charging stations under different response dates, and realizing demand response monitoring. The load of the pure electric heavy truck serves as the drainage load to participate in power grid demand side management, peak clipping and valley filling of the power grid are effectively promoted, reasonable layout of charging facilities is promoted, the bidirectional interaction capacity of the pure electric heavy truck and the power grid is improved, and the supply and demand balance capacity of the power grid and the energy utilization efficiency are enhanced.

The invention belongs to the technical field of wind power generation, and particularly relates to an offshore wind power reactive power compensation configuration method and system.The configuration method comprises the steps that a reactive power compensation configuration model of an offshore wind power plant is built, and the joints of a current collection circuit of the offshore wind power plant and all draught fans are connected into a reactive power compensation configuration model; the joint of a sending-out submarine cable of the offshore wind plant and the onshore centralized control center is used as a node; calculating a network loss allocation coefficient of each node of the wind power plant by using the reactive compensation configuration model, and obtaining a preset installation node of a reactive compensation device of the wind power plant; and under a full-power working condition, taking the reactive power compensation configuration capacity of each preset installation node as a control variable, taking the minimum set network loss target parameter value as an optimization target, and combining the set constraint conditions to construct an offshore wind power reactive power compensation configuration model, and solving the model through the optimal power flow to obtain the reactive power compensation configuration of the offshore wind power. And obtaining the optimal reactive compensation capacity corresponding to each preset installation node.

The invention relates to the technical field of power system safety, and provides a power distribution system safety operation optimization method and system based on low inertia. The invention discloses a power distribution system safe operation optimization method based on low inertia. The method comprises the following steps: constructing an evaluation model based on a minimum inertia demand by taking minimization of the total operation cost of a system as an optimization target; under a set constraint condition, solving the evaluation model based on the minimum inertia demand by using a grey wolf algorithm to obtain a minimum inertia demand value at each moment; in the process of searching the minimum inertia demand value at each moment, the grey wolf algorithm adopts a convergence factor to determine a search area; the convergence factor is represented as the fractional order power of the ratio of the difference value of the maximum number of iterations and the current number of iterations to the maximum number of iterations. Response reliability of the system to sudden disturbance can be improved.

The present application discloses a method and device for generating control parameters of voltage regulating equipment based on deep reinforcement learning, which relates to the field of power grid operation technology, and its main purpose is to improve the problem that the existing power grid cannot meet the needs of new power grids in reactive power optimization, and thus cannot generate control parameters of voltage regulating equipment that meet the needs. It includes: obtaining the state parameters of the target power grid at a preset time; generating a control parameter generation model based on the completed model training, generating control parameters of the voltage regulating equipment according to the state parameters, the control parameter generation model is constructed based on a reinforcement learning network, and is obtained by model training based on a deep deterministic policy gradient algorithm and the interaction state with the target power grid; controlling each voltage regulating equipment in the target power grid according to the control parameters of the voltage regulating equipment.

The present application belongs to the technical field of power distribution network ring network power supply control, and particularly relates to a ring network switch cabinet dynamic capacity increasing collaborative recovery control method and system based on digital twinning, which first establishes a digital twinning model of the ring network switch cabinet system; when a fault occurs, fault positioning and isolation are completed through the model and the topological structure is updated; then, a short-term emergency capacity increasing threshold is calculated according to real-time operating parameters of the remaining non-fault switch cabinets; a double-layer optimization model is constructed, the outer layer optimizes topological reconstruction with the minimum number of switch operations and the maximum estimated operating margin as the target, and the inner layer optimizes capacity increasing load distribution with the minimum network loss and the maximum actual operating margin as the target; the digital twinning model enters the capacity increasing operating state according to the optimal topological reconstruction and load distribution scheme. The present application can break through the static rated value limit under fault conditions, and realize global optimization of topological reconstruction and load distribution through the double-layer optimization model, thereby maximizing power supply recovery under the premise of ensuring equipment thermal safety.

The invention discloses a method for acquiring a multi-target reactive power optimization model containing a distributed power supply. The method comprises the following steps of: 1, establishing a random output probability model containing wind power and photovoltaic power; 2, converting the random output probability model into a probabilistic load flow calculation model by using a random response surface method RSM; and step 3, establishing a multi-target reactive power optimization model containing the distributed power supply based on the probabilistic load flow calculation model. The objective of the invention is to solve the technical problems that an existing reactive power optimization model does not consider uncertainty caused by grid connection of distributed power supplies, reactive power flow in a network is changed, reactive power of a certain node is insufficient or excessive, and thus unstable operation of a power grid is possibly caused, and even a power failure event is caused. The invention provides a multi-target reactive power optimization technology containing the distributed power supply.

This invention discloses a distribution network voltage control method based on soft coordination between distributed photovoltaic inverters and AVC systems, comprising: 1. Establishing an AVC-in-the-loop operation model based on the nine-zone diagram method, maintaining the original rule-based control logic of the AVC system; 2. Constructing a soft-coordinated control mechanism between the AVC system and the distributed photovoltaic inverter, influencing the distribution network voltage state by adjusting the reactive power output of the inverter; 3. Modeling the control process of the distributed photovoltaic inverter as a Markov decision process, and designing a reward function that includes voltage deviation, network losses, and the number of AVC system equipment actions; 4. Training the inverter reactive power control strategy using a soft actor-commentator algorithm, and verifying it through distribution network examples and AVC-in-the-loop systems. This invention can achieve coordinated voltage control between distributed photovoltaic inverters and AVC systems without changing the original operating rules of the AVC system, thereby reducing distribution network losses, reducing the number of equipment actions, and improving voltage operation stability.

This invention proposes a two-stage optimization method for distribution networks integrating electric vehicles (EVs) and distributed generation. In the first stage, an orderly scheduling of EVs is achieved by establishing a user participation dispatch probability model and a dynamic electricity price model considering load. The optimized EV load is then superimposed onto the distribution network reconfiguration optimization model in the second stage. Finally, network reconfiguration and distributed generation output are used to reduce network losses and node voltage deviations across the entire distribution network. The proposed method reduces peak-to-valley load differences. Considering user participation rates, it not only reduces user charging costs but also improves node voltage levels and reduces network losses.

The present invention proposes a distribution network dispatch optimization method with aggregatable resources as the main body, which belongs to the field of smart grid technology and comprises the following steps: S1: constructing an aggregated power quantification model of aggregatable resources based on the operating characteristics of the aggregatable resources, dynamically quantifying the response power of the aggregatable resources, and realizing the coordinated response among the aggregatable resources; S2: constructing a distribution network Distflow branch flow model by considering three aspects: node power balance, node voltage correlation and line power; S3: considering the network loss of the optimized system operation, the operating cost of each unit in the optimized system operation, the maximum absorption of local distributed renewable energy and the reduction of abandoned power, and establishing an optimization objective function; S4: converging constraint conditions, solving the model constructed in S1-S3, and after calculating the results, sending them to the resource main body under the distribution network for execution. The method can realize multi-objective optimization of low network loss, low operating cost and maximum absorption of renewable energy in the local power grid.

The invention relates to the technical field of power distribution network optimization control, in particular to a power distribution network collaborative optimization control method fusing cable planning and charging load, which enables a planning scheme and an operation strategy to adapt to source load fluctuation in advance by constructing a photovoltaic and charging load probability model, and enables the planning scheme and the operation strategy to adapt to different scenes. A cooperative scheduling strategy of a transformer, a reactive power compensation device and a charging load is optimized and formulated day by day, network-source-load active cooperation is realized, network loss is reduced, equipment utilization efficiency is improved, cable investment cost and long-term operation cost are optimized in a unified manner, a scheme with the lowest comprehensive cost in the whole life cycle is automatically screened out, and the system is suitable for large-scale popularization and application. Long-term economic loss caused by traditional planning and operation splitting is avoided, full-period verification and extreme working condition testing are carried out on the optimal cooperation scheme through digital twin simulation, safety, economic and performance indexes are quantitatively evaluated, an optimization-verification decision closed loop is formed, the scheme is ensured to be feasible, and the implementation risk is reduced.

The present invention discloses a method for planning an offshore wind power distributed power source based on a hybrid improved seagull algorithm, comprising: optimizing the basic seagull algorithm to obtain a hybrid improved seagull algorithm; initializing the parameters of the hybrid improved seagull algorithm; using the initialized hybrid improved seagull algorithm to solve the upper optimization model, obtain the distributed power site selection and capacity information and input it into the lower optimization model for solving, and obtain the distributed power planning information; returning the distributed power planning information to the upper optimization model; calculating whether the total cost meets the conditions, if so, outputting the distributed power planning information, if not, repeating the above steps. The present invention takes demand response into consideration during the planning process, effectively improves the amount of distributed energy consumption, reduces network losses, reduces annual comprehensive costs, realizes economical and efficient, safe and stable operation of the system, and has higher optimization accuracy and faster optimization speed in solving the problem of double-layer planning of offshore wind power distributed power sources.

The application provides a micro-grid planning and designing method, comprising: obtaining historical load and voltage of a power distribution network node and historical load and module performance parameters of each micro-grid; inputting the historical load and voltage of the power distribution network node into an outer power distribution network operation control model to obtain upper and lower limits of exchanged power of each micro-grid and the power distribution network and a first optimal power curve; inputting the upper and lower limits of exchanged power of each micro-grid and the historical load and module performance parameters of each micro-grid into each inner micro-grid optimization configuration model to obtain the number of each module of each micro-grid and a second optimal power curve of the access point of each micro-grid and the power distribution network; comparing the first optimal power curve and the second optimal power curve corresponding to each micro-grid to determine the number of each module of each micro-grid; and the implementation of the application can simplify the micro-grid planning and designing, procurement, manufacturing and assembly process, improve the safety and reliability of the micro-grid and the power distribution network, improve the comprehensive utilization rate of internal energy of the micro-grid and reduce the operation network loss of the power distribution network.

The invention discloses an optimized operation method and system for an active power distribution network containing a distributed power supply, and the method is characterized in that the method comprises the following steps: building an active optimization scheduling model of the active power distribution network with the minimum operation cost of the power distribution network as the target, and building a reactive optimization model of the active power distribution network with the minimum system network loss as the target; constructing a double-layer optimization problem by taking the active power optimization scheduling model as a lower layer and the reactive power optimization model as an upper layer; and optimizing the problem of the solving layer by adopting a particle swarm algorithm to obtain a scheduling plan of the active power distribution network. The optimal operation mode of the active power distribution network is obtained, so that a basis is provided for dispatching of the active power distribution network.

The invention discloses a park micro-grid regulation and control system and method based on a fusion terminal. The system comprises a micro-grid management and control system and the fusion terminal. The method comprises the steps that a fusion terminal collects and preprocesses multi-source data; the micro-grid management and control system receives the real-time operation state data uploaded by the fusion terminal, constructs a multi-target optimization model for optimization, and constructs a full-dimensional constraint condition; the micro-grid management and control system executes multi-target optimization scheduling to generate a regulation and control strategy; and the fusion terminal issues and executes the regulation and control instruction, and carries out closed-loop feedback adjustment at the same time. Multi-protocol data fusion is realized through the fusion terminal, a'source network load storage and charging 'island is broken, and global + real-time regulation and control are realized through cloud-edge collaboration; through multi-objective optimization scheduling, the operation cost is effectively reduced, the network loss is reduced, the new energy consumption rate is improved, the capability of coping with distributed energy fluctuation of the micro-grid is enhanced, and the operation reliability of the system is improved.