131 results about "Grid scheduling" patented technology

The present invention discloses a master station smart power grid scheduling technology support system-based clock synchronization method, comprising the following steps of: S1, connecting a plurality of clock sources to a local area network, and setting priorities of the clock sources; S2, setting the clock source status monitoring service on a clock acquisition server, and updating the priorities of the clock sources in real time; S3, determining a main clock acquisition server and a standby clock acquisition server by using node management provided by a smart power grid scheduling technology support system, and acquiring clocks; S4, comparing the clock information of a local clock with acquired clock information of the clock source with the highest priority by the main clock acquisition server, and if a difference exists, synchronizing the local clock; and S5, exchanging a piece of clock synchronization message with another working node by the main clock acquisition server, and calculating and eliminating the time delay and updating the time of the another working node by the another working node. The method improves the time accuracy of the smart power grid scheduling technology support system, and ensures the consistency of the system clock.

The invention relates to a grid scheduling method based on energy optimization, which includes: 1. energy resources are the research focus of scheduling and factors such as initial energy value, network bandwidth, etc. are taken into consideration; 2. the energy optimization is achieved to ensure minimum energy consumption in the resource scheduling and the energy consumption in the grid resource scheduling is divided into calculation consumption and network communication consumption; 3. the optimization of time span is taken into consideration so as to ensure the load balance of the resource in the process of energy optimization; 4. a grid scheduling method based on energy optimization with a comprehensive consideration of energy constraint and time constraint is proposed. The method has the advantages that: 1. the limitation of singleness of resource type in the traditional resource scheduling calculation is changed; 2. the energy optimization is taken as the research focus of the scheduling model; 3. the problem of load imbalance caused in the process of energy optimization is solved; 4. an energy cost function is defined on the basis of time span optimization and energy optimization and the grid resource scheduling method based on energy optimization is proposed on the basis of the cost function.

The invention relates to a method for achieving power network dispatching automatization, which comprises a VPN fiber broadband, a communication integrate server, a dispatching main station system, a video watchdog subsystem and a network talking subsystem, wherein the VPN fiber broadband is connected with the communication integrate server and the dispatching main station system, and the communication integrate server can dispatch telecontrol equipment of a substation in VPN. The method builds VPN in each dispatching substation of country power network through utilizing Internet resources, and the VPN is used as a telecontrol channel for dispatching automatization, the video display of the video watchdog subsystem is connected with the dynamic operation of the dispatching subsystem, the network talking subsystem adopts a novel network telephone, and the talking costs zero in VPN, and recording can be done in real time. The method integrally achieves the functions of remote metering, remote signaling,remote monitoring, remote regulating, remote watching and remote calling, which supports a mobile short message mode and the mobile office of an IE browsing mode.

The invention discloses a geographic information system short-term load prediction method based on mesh method. According to the invention, the method includes the following steps: in a power system,combining short-term load prediction with a geographic information system, based on the data provided by the geographic information system, preliminarily dividing region load into mesh loads; in accordance with the division rules of load uses and load density, further dividing the mesh loads; using a Spectral Multi-Manifold Clustering method and a simple fuzzy clustering method, based on the givenload influence factors and load waveform changes, combining the mesh loads; and on the basis of the aforementioned steps, using a short-term prediction method of BP, RBF neural network, obtaining theresult of short-term load prediction. According to the invention, the method herein uses an improved multi-level mesh segmentation method, can obtain the total result of load prediction by combiningthe mesh loads, not only meets prediction precision, and also reduces the workload of load prediction. The method herein can easily and fast obtain the changes of respective load waveforms and the changes of the total load waveform and provides reasonable and effective basis for work, such as grid scheduling.

The invention discloses a grid scheduling control system comprising a data analysis and processing center, a communication module, a monitoring module and a scheduling module. The communication module is communicatively connected with an information acquisition module. The information acquisition module includes a current transformer, a voltage transformer and an acquisition terminal. The communication module is also communicatively connected with a power control module and a smart terminal. The power control module comprises a relay controller communicatively connected with the communication module. The relay controller is connected with a relay connected in series with a standby power supply. The grid scheduling control system utilizes the controllable load amount of a user to shut down the low-priority household appliances of the user by using the smart terminal to reduce the total load amount of the user, thereby reducing the maximum power load of the power grid at the peak hours of power consumption, reducing the cost of equipment such as transformers and power lines in the construction of the power grid and the replacement and maintenance cost of the transformers, and improving energy efficiency.

The invention provides an assistant decision making method for quick power rationing of regional power grids. Based on an intelligent regional power grid scheduling technology support system, the assistant decision making method includes the steps of S1, establishing a corresponding relation table according to a line disconnecting sequence table and a regional system model; S2, according to real-time load data of equipment, the line disconnecting sequence table and a target value of for load relief, performing line disconnecting sequence optimizing computation to obtain a line disconnecting operation table of line disconnecting equipment with load relieved; S3, acquiring real-time monitoring information of line disconnecting load and displaying the same on a man-machine interaction interface, manually adjusting the line disconnecting operation table by selecting a line disconnecting strategy on the man-machine interaction interface, and obtaining breakers, corresponding to the line disconnecting equipment, in the line disconnecting operation table according to the corresponding relation table; and S4, remotely operating a breaker switch sequence provided by the line disconnecting operation table and needs to be operated. By the aid of the assistant decision making method for quick power rationing of the regional power grids, manual operation steps as well as manual computation are reduced, operation time of the power rationing is greatly shortened, and operational accuracy is improved.

The invention relates to a system for realizing multidirectional issuing of relay protection operation information in a smart grid. The system comprises a universal Internet area, a mobile accessing management area, a power office affair handling management area and a power production large area, wherein the universal Internet area, the mobile accessing management area, the power office affair handling management area and the power production large area are successively connected. The power production large area comprises the components of a transformer substation terminal station which is used for acquiring and uploading information of relay protection equipment in real time; and a scheduling end main station which is connected with the transformer substation terminal station through a power data network and is furthermore connected with the power office affair handling management area for performing analysis, processing and multidirectional issuing on the received data of each substation. The system and the method for realizing multidirectional issuing of the relay protection operation information the smart grid have advantages of greatly improving grid scheduling operation management efficiency, reducing workload and technical difficulty of operation personnel in professional maintenance, ensuring safe and stable operation of the transformer substation, realizing an advantages in efficiency, practicability and economic benefit, and laying the basis for high-efficiency operation of relay protection.

The invention provides a method for integrating a system, in particular to a method for integrating a time series database with an intelligent grid scheduling technology support system so that the time series database is integrated with the intelligent grid scheduling technology support system and the intelligent grid scheduling technology support system can realize the holographic recording of the grid operation process and the efficient data inquiry on the basis of operating stably. The method provided by the invention has the advantages that: the integration of the time series database with the intelligent grid scheduling technology support system is realized, the whole grid operation process change storage mechanism can be realized according to the characteristic of the time series database, the sampling data submitting frequency is raised to the second level from the original minute level, and advanced technical means and powerful data support are provided for the fine operation analysis of the regional grid scheduling monitoring.

The invention provides a demand response effect evaluation method based on a demand response baseline. A demand response amount is determined according to a baseline executing a demand response and a load curve executing a demand response, the demand response amount is evaluated, a demand response effect evaluation factor is obtained, and the demand response effect evaluation factor reflects demand response effects. Based on parameter recognition, the demand response baseline is determined, and thus, a prediction speed is ensured, influence factors such as the weather are included in a consideration range, an accurate demand response baseline determination method is acquired, and a new idea is provided for calculating the demand response reduction amount. Due to the new calculation method for researching the demand response baseline, the potential of a user participating the demand response project is dug, the project effects are evaluated, the demand response participation enthusiasm is improved, a power company can be helped to make a more effective power grid scheduling scheme, reasonable power resource allocation is realized, and the power grid efficiency is improved.

The invention discloses an optimized dispatching method of a micro-energy network based on an improved quantum particle swarm algorithm, which comprises the following steps: establishing an objectivefunction of the daily cost of the micro-energy network; calculating the output constraint of equipment in the micro-energy network; establishing Quantum particle swarm optimization (QPSO) model, and the population size, setting the maximum number of iterations and the upper and lower limits of the domain search radius of QPSO model to calculate the optimal output of each equipment and the daily minimum cost of micro-energy network. A method for optimize dispatch of micro-energy grid based on improve quantum particle swarm algorithm of that invention can realize the consumption of renewable energy, minimizes the daily operation economy and the environmental treatment cost under the reliable operation of the micro-energy grid, and provide a new solution algorithm for the optimization dispatch problem of the micro-energy grid containing renewable energy and energy storage.

The invention provides an automatic pull trial detection and control device for a single-phase earth fault of a power distribution network. The device comprises a telemetry acquisition module, a remote signal acquisition module, a fault signal acquisition module, a logic judgment module, a policy control module and a policy execution module, which are connected with a central processing unit; when a bus has a single-phase earth fault, the fault signal acquisition module receives a signal, the central processing unit judges the fault, and the telemetry acquisition module and the remote signal acquisition module automatically acquire a voltage value of the monitored bus, an action signal of an arc suppression coil and a single-phase earth signal of the bus, and compare the data with the criteria set by the logic judgment module, to determine the property of the fault; the policy control module makes a control policy, and the policy execution module forms a remote control operation sequence according to the control policy, and pushes the remote control operation sequence to an automatic grid scheduling system for executing via a communication interface. The device adopting a technical support system for judging can be more accurate, and can shorten the fault line searching time, reduce the probability of misoperation and improve the fault processing efficiency.

The embodiment of the invention provides a comprehensive early-warning control system for grid scheduling. The system comprises a management maintenance tool, a logical analysis center and a foreground application, wherein the management maintenance tool comprises a data center, a model center and a graphic center; the data center is used for storing the real-time database information of a grid application system; the model center is used for completely describing all attributes of grid equipment; the graphic center is used for acquiring a graphic interface from each application system, converting the format of the graphic interface into a vector graphic format, and leading in the data center for storage; and the logical analysis center is used for acquiring all kinds of data and graphs from the data center, performing analysis and logical checking according to a preset model, and outputting data which is required by service analysis to the foreground application.

The present invention discloses a research method of renewable energy power plant active power prediction error correlation. The method comprises the steps of (S1) modeling renewable energy power plant active power prediction error probability distribution, (S2) modeling the joint cumulative probability distribution function between renewable energy power plant active power prediction errors, (S3) applying a Kendall rank correlation coefficient to quantize the correlation between the renewable energy power plant active power prediction errors, and (S4) summarizing a renewable energy power plant active power prediction error distribution characteristic and correlation. According to the method, the adverse effect of a renewable energy active power uncertainty on grid scheduling and a renewable energy power generation enterprise is quantized, the scheduling of related departments to make a set start and stop plans and arranging the maintenance and repair of a set is facilitated, the rotation standby requirement of a system can be reduced, thus the operating cost is saved, and the market competitiveness of a novel energy power generation enterprise is improved.

The invention discloses an online monitoring method for peak load regulation capability of a thermoelectric generator unit, and belongs to the technical field of online monitoring of the peak load regulation capability of the thermoelectric generator unit. The method comprises uploading real-time data in the DCS system of a monitored thermoelectric generator unit to a main monitoring device; thensearching for groups of heat supply steam extraction amount and corresponding maximum power or minimum power by using a designed heat supply operating condition map of the monitored thermoelectric generator unit; by using an actual calculation database in the main monitoring device, calculating the maximum power or minimum power of the monitored thermoelectric generator unit under the real-time heat supply steam extraction amounts at a background in real time, and outputting the same to a human-machine interface in order to provide a reference for a grid scheduler and provide reliable data support for the rational scheduling of the grid. The method can monitor the peak load regulation upper limit and the peak load regulation lower limit of the thermoelectric generator unit under differentreal-time heat supply steam extraction amounts in a heat supply season in real time, and provides important data support for a grid scheduling department to scientifically and rationally formulate theload scheduling curve of the thermoelectric generator unit.

The invention discloses a mobile grid task scheduling method based on energy and time constraint, which comprises the following steps: adding all resources in a grid to a resource set; for each task in a task set, obtaining the resources of which the total energy needed for completing the task is less than self residual available energy; obtaining the task execution time that the found resources execute the task so as to obtain expected completion time; and preferably scheduling a machine-task pair with the relatively short expected completion time. The method reduces the influence on the grid task scheduling caused by unstable network connection and the limited energy of equipment so that a grid scheduling system is capable of obtaining relatively good performances.

The invention discloses a remote sensing image processing system used for realizing the rapid processing of a remote sensing image, and comprises a space grid system module used for establishing a space grid system, wherein the space grid system totally comprises 2n levels of grids; a remote sensing image storage module used for storing grid data of grids from the first stage to the L stage of theremote sensing image, with L being a positive integer smaller than or equal to n; wherein the L-th-level grid is the maximum grid level corresponding to the remote sensing image determined accordingto the resolution; and a spatial grid scheduling module used for determining the grid codes of the grids corresponding to the query points and obtaining the grid data of the grids corresponding to thequery points from the remote sensing image storage module according to the grid codes of the grids corresponding to the query points. The invention further discloses a method and a device for establishing the spatial grid system.

The invention provides an evaluation method and system for a regional power grid dispatching system mechanism. various aspects of a scheduling system and a mechanism are completely covered; scientificand reasonable, the applicability is wide; the qualitative indexes are quantified by preprocessing the evaluation index data; carrying out segmentation processing and assignment processing to establish an index evaluation standard with a unified evaluation standard; the method can directly and accurately evaluate all single evaluation indexes of the regional power grid and the whole scheduling system mechanism, can visually compare the evaluation results of different evaluation objects, and provides an effective tool and means for the diagnosis evaluation and optimization improvement of the regional power grid scheduling system mechanism.

The invention relates to a mobile-device-based grid scheduling situation sensing system comprising an identity verification module, a data access module, a local situation sensing and calculating module, a local situation sensing information interaction module, and an inquiring and displaying module. To be specific, the identity verification module is used for logging in a situation sensing system by different valid users; the data access module connected with a server is used for obtaining correlated data of a power grid at a server side; the local situation sensing and calculating module is used for calculating grid local situation sensing information associated with the different valid users according to the correlated data of the power grid and local sensing information; the local situation sensing information interaction module connected with the local situation sensing and calculating module and the server is used for carrying out interaction of the grid local sensing information with the server; and the inquiring and displaying module connected with the data access module and the local situation sensing module is used for inquiring and displaying the correlated data of the power grid or the grid local sensing information. Compared with the prior art, the provided system has the following beneficial effects: sharing of local situation sensing information of various users can be realized; and the efficiency and reliability of the follow-up scheduling decision making can be improved.

The invention discloses a spatial grid scheduling method and a spatial grid scheduling device, which are used for realizing the effective scheduling of a remote sensing image. The method comprises thefollowing steps of establishing a spatial grid system; obtaining the coordinate values of the query point, wherein the coordinate values comprise a first longitude value and a first latitude value; converting the first longitude value into a 2n-bit first binary value, wherein the first nine bits of the first binary value represent the integer bits of the first longitude value, and the tenth bit to the 2n-th bit represent decimal bits of the first longitude value; reserving the front L bits of the first binary value, and obtaining a second binary value at other positions 0; converting the first latitude value into a 2n-bit third binary value, wherein the first nine bits of the third binary value represent integer bits of the first latitude value, and the tenth bit to the 2n-th bit represent decimal bits of the first latitude value; reserving the front L bits of the third binary value, and obtaining a fourth binary value at other positions 0; and taking the second binary value and the fourth binary value as the two-dimensional codes of the L-th-level grid corresponding to the query point, wherein L is greater than or equal to 1 and is less than or equal to 2n.

The invention provides a safety risk prediction method and system for grid scheduling staff. According to the method and system, firstly, the specific amount of labor of the grid scheduling staff is obtained; secondly, the ratio of the specific amount of labor to the preset bearable amount of labor is calculated to obtain the labor intensity of the grid scheduling staff; thirdly, searching is performed on a preset safety risk and labor intensity relation table according to the labor intensity, and prediction information corresponding to the labor intensity is output, wherein the prediction information can reflect the labor load degree of the grid scheduling staff. Management staff can adjust the specific amount of labor according to the labor load degree to avoid safety accidents caused by long-term high-intensity high-pressure work.

The invention discloses a distributed photovoltaic power station energy management system comprising a field monitoring module for acquiring the generated power set value information of each power station photovoltaic system, receiving the allocation information of a control module, and setting a power value; the control module for allocating power to each unit inverter, receiving the power set value information of a grid scheduling module, and sending the power set value information to a field monitoring module; an inverter monitoring module for monitoring the power information of each unit inverter and returning the power information to the control module; and the grid scheduling module for sending a total power set value to the control module for global allocation, and sends the grid scheduling information to the control module. The invention also discloses a distributed photovoltaic power station energy management method. The distributed photovoltaic power station energy managementsystem and method can obtain the operating state of a distributed photovoltaic power station and performs management control, achieve in-station management of the distributed photovoltaic power station, and upload the relevant data to a scheduler. The scheduler issues an active power value such that the distributed photovoltaic power station can correctly execute operations.

The invention relates to a day-ahead power generation planning method based on a wind power heating system with heat storage, comprising the following steps: acquiring the next-day initial heat storage capacity of a wind power heating system and the predicted heating load and maximum electrical load of each sampling point next day, establishing a related energy balance model, a related electric power model and a related heat storage capacity model, and acquiring the electrical load of each sampling point next day through the three models and carrying out day-ahead power generation based on the electrical load. According to the invention, day-ahead power generation is carried out based on the electrical load of each sampling point next day acquired according to the relationship between the needed heat and the power consumption, so that safe and economic grid scheduling is ensured, and the wind power heating system can be conveniently added to a day-ahead power generation scheduling system of the grid. The invention further discloses a system.

The invention discloses a method for determining the peak load regulation contribution of grid-connected generating units based on statistical analysis. The method is characterized comprising steps of: determining the total load rate increase and decrease section of direct-regulated thermal power generating units and the increase and decrease load sub section of each generating unit participatingin the peak load regulation; determining that a generating unit makes a positive contribution to the peak load regulation of the whole grid when the load increase and decrease of the generating unit in the corresponding section is consistent with the load increase and decrease of the total load rate of the section, or determining that the generating unit makes a negative contribution to the peak load regulation of the whole grid when the load increase and decrease of the generating unit in the corresponding section is inconsistent with the load increase and decrease of the total load rate of the section. The method of statistical analysis evaluates and ranks the peak load regulation effects of different generating units fairly and objectively by using a peak load regulation contribution index so as to screen out the generating unit having the largest contribution during the peak load regulation of the grid. It is possible to accurately monitor and analyze the peak load regulation participation and performance of the peak load regulation generating units, so as to form a market mechanism for rewards and punishments of grid scheduling.

The invention provides a cross-grid scheduling work order creation method. The method comprises the steps of obtaining the number of vehicles in each current parking site; setting parking network points of which the number is greater than or equal to a set threshold value as starting point grids; setting the parking network points with the number smaller than a set threshold value as vehicle returning grids; obtaining the state of the vehicle in each parking network point from a vehicle management system in real time; according to the method, determining the number of vehicles needing to be dispatched in the vehicle returning grid according to the state of the vehicles, matching the corresponding starting point grid for the vehicle returning grid according to the position of the vehicle returning grid and the number of the vehicles needing to be dispatched, and creating the corresponding cross-grid dispatching work order. The creating efficiency of the dispatching work order is improved, and the labor cost is reduced.