911 results about "Regional power" patented technology

The invention relates to a system for power grid thunderstorm disaster warning based on recognition and forecast. The system is characterized by comprising a thunderstorm forecast information module, an early warning data analyzing module, a power grid thunderstorm risk early warning module and a display module all connected with one another in sequence. The invention further relates to a method which adopts the system to perform power grid thunderstorm disaster early warning. The system and the method utilize region thunderstorm characteristic and regional power grid characteristic, and combine the anti-thunderstorm design parameters and the on-site geographical conditions of power grid equipment including various transformer substations, electric transmission lines, pole and the like, so as to realize real-time automatic monitoring on the thunderstorm disaster, perform actual condition analysis quantitatively at a specific time and location and near-disaster early warning and perform fine instructional functions on production and scheduling of power grid.

The invention discloses a short-term electric power load prediction method considering meteorological factors, and belongs to the technical field of electric power load prediction. The method includes: collecting historical load data and meteorological data, and detecting and correcting abnormal data; analyzing the relevance between the load data and the meteorological factors, and determining key meteorological factors; establishing comprehensive meteorological factors according to the relevance between the load and the key meteorological factors; summarizing change characteristics of a daily load curve of a regional power grid, and finding out typical similar days of a prediction day; establishing an Elman neural network short-term load prediction model by employing the selected load and the comprehensive meteorological factors, and training network parameters by employing a firefly algorithm; inputting the comprehensive meteorological factors of a to-be-predicted moment and the corresponding load data to the Elman neural network short-term load prediction model, and outputting a load prediction value of the to-be-predicted moment; and displaying the load prediction value. According to the method, the load data of weekdays, weekends, and official holidays can be accurately predicted, the prediction precision is high, the applicability is high, and reliable basis is provided for making of generation plans for operation personnel of the power grid.

The invention provides a hierarchical protection control system facing a regional power grid. The hierarchical protection control system comprises an in-situ level protection device, a substation area protection control system and a wide area protection control system, wherein the in-situ level protection device is configured according to a traditional protection scheme and adopts a direct sampling direct trip mode or a direct sampling network trip mode; the substation area protection control system is configured according to substations or voltage classes, utilizes an information sharing advantage to improve the backup protection performance, realizes protection functions of backup protection, redundancy protection, failure protection, and the like, and control functions of spare power automatic switching, low-frequency and low-voltage load shedding, and the like, and adopts a network sampling network trip mode; and the wide area protection control system is configured according to areas, realizes functions of wide area backup protection, self-adaptive adjustment of protection fixed values, low-frequency and low-voltage load shedding, power grid state evaluation, safety pre-warning, and the like, and realizes the interaction and the sharing of information of intelligent transformer substations in the areas through a wide area communication net. The hierarchical protection control system has the advantages that the reliability and the selectivity of relay protection can be improved on the basis that protection configuration of the existing power grid is not changed, so high requirements of power grid interconnection, new energy access, and the like on relay protection are satisfied.

A method and system for controlling distributed energy resources is provided. Notification of an upcoming regional power distribution event is received and a distributed energy resource affected by the upcoming event is determined or identified. A first notification message is sent to an affected distributed energy resource asset owner or other administrator to notify the distributed energy resource asset of the event. An event data process is initiated to monitor and collect data associated with the event and an event control process is initiated to control one or more affected distributed energy resource asset during the event. The event control process and the event data process are terminated at the end of the event.

The invention discloses an active power control method of master station-end wind power field subject to wind power grid integration for a large-scale wind power integrated network, and belongs to the technical field of power systems. The method comprises the following steps of: providing a regional power grid active scheduling framework containing wind power field control, predicting newly increased functional short and ultra-short wind power by adopting the control principle of wind power-based predicted ''generating plan tracking'' serving as a main aspect and wind power unit ''direct frequency modulation participation'' serving as a secondary aspect, and describing auxiliary frequency modulation; providing data flow design of an active scheduling system containing wind power field control; providing a wind power field active power control mode to improve the wind power receiving capacity of the power grid by wind power participating power grid active control based on the current wind power control technology; and providing stable section-based wind power field active power control so as to further solve the wind power consume problem under high wind power permeability rate by using the renewable energy source such as maximum dissipated wind power and the like as principle on the premise of ensuring that the wind power of the system is connected to the important section stability margin.

The invention provides online risk analysis system and an online risk analysis method for a regional power grid. The system comprises a display unit, a power grid running risk monitoring unit, an important user monitoring unit, an analysis unit and a risk grading unit; the method comprises the following steps: (1). acquiring the power grid running data and system state; (2). conducting expect fault set selection and fault analysis; (3). judging the result caused by the power grid according to the expect fault, if power supply risk exists, conducting the step (4), otherwise returning the step 2; and (4). calculating risk indicator, and conducting risk grade prompt according to the indicator. The online risk analysis system and the online risk analysis method for the regional power grid comprehensively consider the current state probability, fault possibility and fault seriousness of the system, and help a dispatcher analyze and find hidden risk of the system.

The invention relates to a method for evaluating the new energy development potential of regional power grids based on power generation absorption. New energy power characteristics are described from the level of new energy output power parameters, and power grid structure constraints are described from the level of power grid load flow calculation parameters. Based on a sequential production simulation method, by establishing a multi-period load flow optimization evaluation model and adopting matlab software for programming simulation calculation, a corresponding new energy receptivity evaluation model is established with the power generation of new energy units as the objective function and the new energy wind curtailment/light curtailment rate as the constraint. The new energy development degree of the regional power grids is comprehensively measured, visual development potential measurement indexes are obtained finally, and the new energy receptivity trend of the regional power grids is analyzed in a drawing mode. The power generation of the power grids by renewable energy absorption is simply and visually calculated, and reasons for the insufficient new energy receptivity of the power grids are analyzed. The economy and safety of power grid operation are analyzed based on various operation scenes, and the new energy receptivity of the power grids under various scenes is studied.

The invention provides a cooperative control method and system of a battery energy storage power source participating in secondary frequency modulation of a power grid. The cooperative control method comprises the steps of: mounting the battery energy storage power source in a regional power grid needing the cooperation; obtaining an ACE (Area Control Error) signal from an electric grid control center by a cooperative control module; participating in the secondary frequency modulation of the power grid by the battery energy storage power source, and then dividing a typical application scene to determine the chance and participating degree of participation in the frequency modulation; converting a theoretical frequency modulation command into a practical frequency modulation command, then realizing charge/discharge control of the battery energy storage power source through an energy conversion system, and accordingly helping a traditional frequency modulation power source to finish a secondary frequency modulation process. The transient and steady performances of the secondary frequency modulation of the power grid are improved obviously, the frequent start of the traditional frequency modulation machine set is reduced, and balance between supply and demand of the power grid is maintained rapidly.

The invention provides a relay protection and fault information management system for a regional power grid. The relay protection and fault information management system comprises a sub-station system and a main station system, wherein the sub-station system comprises a plurality of sub-stations, each sub-station is connected with and monitors secondary equipment, collects the data of the secondary equipment, sends the data to the main station system at a scheduling end, receives a control command of the main station system and sends down the control command to the secondary equipment appointed by the main station system; the main station system comprises a plurality of main stations, is connected with the sub-station system by a communication network, collects the data collected by all the sub-stations and sent by the secondary equipment for fault analysis and sends a control command to the appointed secondary equipment. According to the relay protection and fault information management system, the fault conditions can be grasped timely, comprehensively and accurately in scheduling, so as to process the system fault fast and accurately and provide convenience for the concentrated monitoring and the concentrated management of the operating conditions of a relay protection device for the whole network.

The invention provides an assisted decision making method for load transfer in a regional power grid. The method comprises the following steps: (1) setting a target power-off device; (2) performing statistics on load information; (3) analyzing a load transfer strategy; and (4) evaluating economic safety. In the method, remote signalling, remote measuring and power grid topology information existing in a dispatching automation system are utilized fully to fastly and exactly generate a load transfer scheme capable of meeting the requirement of economic and safe operation of the power grid, thereby preventing the situations such as load shedding or long-time power off, out-of-limit overload and the like from happening during the load transfer scheme.

The invention relates to a street lamp system, in particular to a target tracking subsection power supply street lamp system. The target tracking subsection power supply street lamp system comprises a microwave moving target signal detection circuit, a human body infrared detection circuit, a wireless communication circuit, an MCU (Micro Central Unit), a start control circuit, an auxiliary power supply, a light source and a commercial power input interface and is used for solving the conditions that low illumination utilization rate, low light-emitting efficiency of the light source and short service life of the lamp generally exist in the traditional city street lamp illumination, financial and physical resources consumed by the control flow of the illuminating system are great and the like; and the invention has the advantages that: firstly, target tracking and regional power supply illumination are adopted for effectively saving electric energy; secondly, the control over a lamp lightening zone is intelligently realized so as to effectively save labor force and financial resources; thirdly, an ICP (Inductively Coupled Plasma) or an LED (Light Emitting Diode) with high light-emitting efficiency is used to improve the utilization rate of electric energy; and fourthly, the idea of energy saving and emission reduction is accorded and green illumination is carried out.

The invention discloses an optimizing control and capacity planning system and method for involving an energy storage device into machine set frequency modulation. The method comprises the steps that after being connected with a power conversion device and a wave filtering device in sequence, an energy storage unit gets access to a regional power grid, and a logic judgment device is connected with a device for sending an AGC instruction of a dispatching center of the grid, an outlet of a traditional machine set and the power conversion device; the AGC instruction of the dispatching center of the grid is transmitted to the energy storage device and the traditional machine set simultaneously, and the logic judgment device collects the AGC instruction, the outlet power of a power generator and battery electrical charge state information of the energy storage device and judges the outlet power of the energy storage unit at each moment. The optimizing control and capacity planning system and method for involving the energy storage device into the machine set frequency modulation have the advantages that the energy storage device in introduced into the power generation side, the frequency modulation effect can be improved, and the problems that in a traditional frequency modulation mode, the response speed is low, the modulation precision is low, and machine set 'back-modulation' and dead zone vibration exist, can be effective inhibited.

The invention discloses a method for calculating the optimal admitting ability for wind power multipoint access of a regional power grid and belongs to the technical field of wind power penetration methods of the power grid. The method for calculating the optimal admitting ability for the wind power multipoint access of the regional power grid comprises the steps that the installed capacity of all wind power plants is initialized, and data such as the local wind speed are acquired; the output condition of all the wind power plants is calculated, and unit commitment and optimization within all dispatching cycles are conducted, so that an annual unit commitment mode of an electric power system comprising the wind power plants is obtained; power flow calculation is conducted based on each period of time, whether an operation constraint condition of the system is met is verified, and a final objective function value is calculated after simulation is conducted on the system for more than 8760 hours; the installed capacity of the wind power plants is updated, optimized iteration is conducted on an objective function, and optimal solution of the wind power generating capacity is achieved, namely the optimal admitting ability of the power grid which enables the economical efficiency of the system to be optimized on the premise that the safety and stability constraint conditions are met is achieved. According to the method for calculating the optimal admitting ability for the wind power multipoint access of the regional power grid, an optimal wind power admitting capacity calculation model with the largest net earning of a wind power plant and power grid combination system (with the environmental benefit considered) as the purpose is established, and suggestions can be provided for the proper establishment of the installed capacity of the regional wind power plants.

The invention relates to a pollution flashover index forecasting method for a regional power grid, belonging to the technical field of transmission and distribution monitoring. The method of the invention comprises the following steps: (1) forecasting the current value of the equivalent salt deposit density in real time by an insulator surface equivalent salt deposit density forecasting model; (2) forecasting pollution flashover critical voltage by an insulator pollution flashover critical voltage forecasting model; (3) forecasting the insulator pollution flashover index of the power grid by a pollution flashover graded forecasting and prewarning model; and (4) judging the state. The invention has the advantages of providing a multivariable equivalent salt deposit density time sequence forecasting model based on phase space reconstruction, solving by a supporting vector machine model, solving the forecasting problem under the conditions of small sample of equivalent salt deposit density data and noise, and improving the forecasting prediction.

The invention provides a deep Q network based regional power-grid operation point dispatching optimization method. The method comprises the steps that a dispatching configuration of a regional power-grid operation point dispatching center is determined; a dynamic decision process for dispatching operation points of regional power grid is modeled into a corresponding Markov decision process model which comprises state, action, cost and optimization target function; the deep Q network is used to carry out strategy resolution on the Markov dynamic decision process; the operation point of the regional power grid comprises a routine thermal power set output of a next dispatching period, thermal power set output and the flexible load reduction amount; and dispatching of the operation point of the region power grid comprises, at least, that the power grid operation point in the next dispatching period is determined dynamically according to wind power and load power short-term prediction information and operation point information in the present period. Thus, effective response to randomness of the new energy output and load demands can be made, source-load interactive dispatching potential gives a full play, dynamic balance of the power of the regional power grid is maintained, and the operation efficiency of the power grid system is improved.

The invention provides a block chain electricity transaction peak shaving and frequency modulating system based on distributed electric storage facilities. The block chain electricity transaction peakshaving and frequency modulating system comprises a household block chain electricity meter (1), distributed electric storage facilities (2) and a block chain control cloud platform (3) with a charge-discharge peak shaving and frequency modulating control function. The charge wall and storage battery charge-discharge system is arranged inside a regional power grid (4), the block chain control cloud platform (3) is used, intelligent control is carried out on the charge-discharge system in combination with an intelligent bidirectional electricity meter of a belt block chain module, a great dealof electricity is stored when the price for electricity is at a low ebb at night, and electricity is sold at high price at peaks demand for electricity in daytime, so that the design capacity of a transmission and distribution network can be greatly reduced, and the difference between peak and valley of the power grid can be optimally and flexibly balanced; and moreover, auxiliary service such aspower grid peak shaving and frequency modulation based on storage batteries can be carried out by using an intelligent contract of block chains.

The invention relates to the field of electric vehicle charging and provides an intelligent ordered charging management system for an electric vehicle and an ordered charging control method. The intelligent ordered charging management system for the electric vehicle comprises a terminal network cloud platform, an electric vehicle power battery APP system, an intelligent ordered charging management module, a charging station management system, an intelligent implementing network terminal server, a neural network algorithm module, a retired battery mobile type energy storage system and an energy storage inverter. The intelligent ordered charging management system has the advantages that the neural-network-based control system for intelligent ordered charging management of the electric vehicle intelligently manages and controls the charge-discharge time sequence of all electric vehicle power batteries in a charging station in combination of a mobile energy storage system built by retired power batteries, peak clipping and valley filling of the regional power grid are realized, the purchase cost of the charging station is reduced, and the operating efficiency of the charging station of the electric vehicle is maximized.

The invention relates to the technical field of power supply and distribution of regional power systems, and discloses a charging scheduling system and a control method thereof. An electric mobile orderly charging intelligent scheduling control system comprises a cluster controller (2) and a regional power supply (7), wherein power main loops of a plurality of alternating current charging piles (1) are connected with a power line of the cluster controller (7), communication links of the charging piles (1) are connected with the cluster controller (2) via a communication module (6), P6 and P4 are detected and compared via the cluster controller (7), and thus the charging piles are controlled and scheduled. According to the system provided by the invention, the cluster controller receives information of charging modes of the charging piles, schedules priorities of the charging piles according to the set charging modes of the charging piles, and meanwhile reasonably adjusting overall load power for charging the electric mobiles, thus avoiding overloaded working of the regional power supply.

The invention relates to a key node recognition method for a regional power grid, and the basic flow of the method comprises the steps: inputting a power system topological structure and electrical characteristic parameters; calculating the values of evaluation indexes of a node; obtaining a node importance evaluation decision making matrix according to the values of the evaluation indexes; generating a node importance evaluation decision making matrix of a standard regional power grid; giving consideration to a Gini coefficient and a Kendall correlation coefficient, and solving the objective weights of the indexes through a CRITIC method; and solving an evaluation result of the node importance through a TOPSIS method. According to the technical scheme of the invention, the method gives full consideration to the physical features of the network topological structure and the operation state parameters of the power grid. The method can achieve the better recognition of the key node of the power grid, avoids the subjectivity of manual determination of the weights, and enables an evaluation result to be more suitable for the actual operation conditions of the power grid.

The invention discloses a multifunctional station line loss management system, and belongs to the field of power generation, power transformation or power distribution. The system comprises an existing transformer area digitalization management system, wherein the transformer area digitalization management system reads power supply and sale quantity information of each outgoing line or each user of a transformer substation to compute line loss; a list of line loss rates of the users in a previous month is exported from the transformer area digitalization management system; a line loss distinguishing data model is established to screen high line loss rate transformer areas; line loss data exception transformer areas are locked; the users in the line loss data exception transformer areas are counted according to power quantity differences of the users during flat and peak load periods; and exceptional power utilization periods are automatically distinguished by comparing the power quantity differences during the flat and peak load periods. The system can increase a distinguishing success rate of transformer area/station line loss factors, can progressively improve an integral line loss control level of transformer areas/stations by virtue of a spiral rising working mode, can gradually reduce an integral line loss rate of a regional power supply network, and can be widely applied to the field of operation analysis and power utilization management of power systems.

The invention relates to a method for cooperatively controlling reactive voltage of a wind farm. In the method, a reference voltage value of a busbar is calculated through a logic link according to measured active power, reactive power and a given reference value of reactive power, and the reactive power of each wind turbine is regulated in real-time based on the reference voltage value. The method can cooperatively control reactive output of each wind turbine to enable reactive output of a grid-connection point of a wind farm to meet the variation of system loads so as to restrain the fluctuation of busbar voltage caused by the variation of surrounding loads as well as resist voltage fall of a control point caused by faults of a local electric network, thereby maintaining stable voltage of the wind farm accessing a regional power grid.

The invention provides a simulation verification method for low voltage ride through (LVRT) of a wind farm. The method comprises the following steps of: analyzing operating characteristics of a wind generation set according to a verified wind generation set electric simulation model; establishing a wind farm electric simulation model, and verifying whether the wind farm has LVRT or not; and establishing a regional power system simulation model comprising the wind farm electric simulation model, and verifying influence of wind farm grid connection on secure and stable operation of a power system. The invention provides a complete and effective method for verifying the LVRT of the wind farm; and the method has positive significance on judging whether the wind farm meets the grid connection requirement or not, avoiding large-scale wind power off-line accidents and ensuring secure and stable operation of a power grid, and lays a foundation for establishing and perfecting a wind power grid-connected authentication system in China.

The invention discloses a dispatching method for power network load with extensive participation of air conditioner loads of large-scale institutional buildings. The dispatching method comprises the following steps: firstly, performing short-time load prediction on a regional network supply load and the air conditioner load of each institutional building in a region, and counting the industry type of each institutional building and the type of air-conditioning equipment in each institutional building; determining a regulation and control scene that the air conditioner loads of the institutional buildings participate in the dispatching of the regional network supply load, and selecting a combination mode and a control strategy that the air conditioner load of each institutional building participates in the dispatching of the power network load; calculating the controllable capacity of the air conditioner load, participating in the dispatching of the power network load, of each institutional building in the region, and determining a regulation and control target of the air conditioner loads of the large-scale institutional buildings in the region; calculating the optimal combined regulation and control capacity of the air conditioner loads, participating in the dispatching of the regional power network load, of all the institutional buildings in the region. The dispatching method disclosed by the invention is suitable for regulating and controlling network supply loads for regions with higher electricity consumption for the air conditioner loads of the institutional buildings in the national range in summer and contributes to the development of a Chinese power network load dispatching technology; a regional power network load curve can be improved.