1179 results about "Power dispatch" patented technology

The invention discloses a microgrid running optimization system and method based on power and heat combined dispatching. Running restrains such as the output force characteristic, start, stop and climbing of a distributed type generator set and the charge and discharge characteristics of power and heat energy storage are comprehensively considered, a microgrid power and heat combined dispatching model containing a fan, a photovoltaic cell, a combined heat and power generation system, an electric boiler, a fuel cell and an energy storage (electrical energy storage and heat energy storage) is built, the 0-1 mixed integer nonlinear programming method is adopted for solving the optimal output force and total running cost of all units in the network, and power and heat dispatching contrastive analysis is carried out on the system and a traditional separated generation and combined generation optimization model. In addition, the influences of the heat and power reliability difference on the running are analyzed and discussed, and therefore the heat and power dispatching module is more reasonable, comprehensive and universal.

A system for distributing electric power from a wind farm generating medium to high voltage AC electricity to multiple electrolyser modules for producing hydrogen. A system for distributing electric power from a wind farm generating medium voltage DC electricity to multiple electrolyser modules for producing hydrogen.

The invention discloses a method and architecture for standard and automatic deployment of power dispatching centralized control systems. The method comprises the following steps of: installing a physical machine operation system and configuring an ssh password-free access connection; carrying out networking to download and install open source container cluster arrangement software and start an open source container cluster service; successfully pulling an issued business container mirror image and an issued tool container mirror image from a private mirror image library; compiling a containerarrangement configuration file; uploading the container arrangement configuration file to container arrangement management software, and starting and operating a corresponding container through the container arrangement management software according to specification information of the configuration file; and monitoring whether to adjust business container load. According to the method and architecture, a full-container application deployment manner is used for building power dispatching software background monitoring systems, so that the deployment efficiency and success rate are greatly enhanced, and joint debugging complexity among monitoring subsystem modules is reduced.

The invention discloses a method for calculating the input wind speed of wind generating sets, and provides the method for calculating the input wind speed of the wind generating sets according to the factors, such as the wake effect, arrangement of the wind generating sets and the like in a wind power station. A technical scheme comprises the following steps of: converting a coordinate of a wind blown direction of the wind power station according to the arrangement of the wind generating sets, and determining a sequence of the wind speed obtained by the wind generating sets; calculating the input wind speed of the wind generating sets according to the wake effect among the wind generating sets; simulating the wind speed to obtain the input wind speed of each wind generating set in the wind power station in any wind blown direction; and calculating the output power of the wind power station by using the input wind speed of each wind generating set in the wind power station, and comparing the output power with the measured power of the wind power station, wherein a validation method is reasonable. The input wind speed of the wind generating sets obtained by the method not only can be used for grouping the wind generating sets so as to establish a dynamic model of the wind power station to analyze the dynamic characteristic of the wind power station, but also provides more accurate wind power data for rationally arranging the production plan for a power dispatching department and reducing the reserve capacity of a system.

The invention relates to a time sequence progressive power dispatching method, belonging to the technical field of power dispatching automatization, comprising setting three-level dispatching time sequence steps of monthly power generation scheme, weekly power generation scheme, daily power generation scheme; a dispatching center configures a monthly power generation scheme mould of the next month according to the overhaul management information of each set and monthly load prediction information in the electric power plant of the next month and the planned electric quantity of the next month of each set to obtain the monthly power generation scheme of the next month; the dispatching center configures and solves a weekly power generation scheme mould of the next week according to the monthly power generation scheme of the current month to obtain the weekly power generation scheme of the next week; and the dispatching center configures and solves a daily power generation scheme mould according to the weekly power generation scheme of the current week to obtain the daily power generation scheme issued for power plant for carrying out within t+1 days; the practical generating capacity of each electric power plant is accounted at t+2 day, daily-weekly feedback is carried out at t+2 day, and daily-monthly feedback is carried out at the end of the current month. The method can guide safe and economic operation of electric system better.

The invention discloses a province-city secondary system integrated comprehensive monitoring and process management system in power dispatching and an implementation method for the system. The system is designed on the basis of SOA (service-oriented architecture), a bottom layer is programmed by adopting standard C, a front end is constructed by applying a J2EE (java 2 enterprise edition) technology, and the system is a cluster-type integrated architecture system which is arranged on a plurality of servers; the system is characterized by comprising a real-time monitoring module and a management function module, wherein the real-time monitoring module is used for IT (information technology) monitoring, machine room environment monitoring and service data validating (RTU (remote terminal unit) and OCS (office communication server) monitoring); the management function module comprises IT asset management, operation and maintenance management and professional reports. The system and the implementation method have the beneficial effects that a comprehensive platform is realized, and the automatic monitoring situations can be displayed comprehensively; province-city two-level automatic system data sharing is realized, and valuable data information can be provided for operators on duty automatically; the problem that a closed-loop process is not formed in the conventional automatic internal management is solved.

The invention belongs to the technical field of power system control and relates to a multi-target unit combination intelligent optimization system based on power network state identification. The multi-target unit combination intelligent optimization system is an intelligent dynamic modeling model formed by an optimization calculation module and a power network parameter acquisition module, optimization calculation is related to awaiting distribution amount introduction and distribution result derivation, the power network parameter acquisition module is connected with an energy control system, and the energy control system supplies data to the power network parameter acquisition module. The multi-target unit combination intelligent optimization system based on power network state identification is an improvement of the traditional unit combination optimization mode, automatically identifies a power network real-time operation state by utilizing a knowledge base system and is automatically configured with a multi-target optimization unit combination model according to a certain regulation based on the power network operation state. Starting from power dispatch reality, the invention converts various target optimization problems to optimization sequencing problems based on different regulations of each unit in a feasible range, thereby conveniently dispatching results of observation, explanation and evaluation optimization calculation of decision making persons.

The invention discloses a master station system monitoring model based on power dispatching automation. The master station system monitoring model comprises function modules including a monitoring and acquisition module, an alarm correlation analysis module and a monitoring visualization module. According to the invention, the health conditions of host computer servers are analyzed on the basis of operation states and operating performance index data of the host computer servers of an automatic master station system; the business relationship between the master station system and each component of each host computer server, each database server and each WEB application server can be displayed with levels in a visual graphics way according to the business relationship of the preset master station system and each host computer server, each database server and each WEB application server; and therefore, abnormal information of each server and affected master station systems can be displayed in real time, and a rapid alarm check way and a fault source locating inlet can be provided.

The invention discloses a power dispatching business oriented quantum key dynamic supply method and a management system. The method comprises the following steps: performing stage treatment on variousstations in a dispatching data network according to a default rule, and determining the priority level of each business based on each station; determining the use form of quantum keys according to the importance degree of each business and the predicted business traffic; pre-allocating the quantum keys to each business within the station based on the use form of the quantum keys; based on the priority level of each business and the predicated business traffic, dynamically adjusting the allocation of the quantum keys according to the actual needs; and according to the dispatch network architecture of each stage, the working modes of main and standby stations and the health statuses of links, dynamically allocating an optimal relay route for the quantum keys, and then realizing the encryption transmission of the quantum keys to the dispatching business on the basis of the optimal relay route. The invention can provide a safe and reliable power business dispatching mode, and the safety of power dispatching business data transmission is improved to the largest extent.

The invention relates to a power dispatching automation method and a power dispatching automation system based on a 'cloud computing' dispatching application. A dispatching application service module is deployed in a cloud server. A dispatching pre-processing unit and a historical database are deployed in a local server. Data acquired by substation RTUs is transmitted via a dispatching data network to the dispatching pre-processing unit to complete data acquisition and analysis. Real-time data is transmitted via a broadband network to the dispatching application service module and an upper dispatching module. Historical data is saved to the historical database through a local data interface. A dispatching workstation terminal issues a service request to a scheduling application, and the dispatching application service module triggers a corresponding service and deals with related affairs, and feeds a result back to the request initiator immediately after getting the result, so as to realize power dispatching automation function operation. Deployment is simple. A variety of options can be provided for dispatchers in the aspects of hardware resources, dispatching terminal equipment type and access network type, so that system hardware investment and maintenance are reduced, and the reliability of the system and the flexibility of power dispatching are improved.

A network connection manner of a microgrid energy storage backup power source and a method for dispatching the same are provided. A plurality of renewable energy storage systems of microgrid are jointed, so as to form a backup power source network for dispatching energies of different microgrids, and an improved genetic algorithm is used as a method for dispatching energies of the renewable energy storage systems, for improving the electric power dispatching function of the microgrid, so as to improve the electric power dispatching efficiency of different microgrids, thus achieving high quality power supply and optimal economic operation of an electric power system.

The invention provides a system for automatically generating a single-wire tidal current diagram of a large-screen power transmission network during power scheduling, which relates to the field of the automation of the power scheduling. At present, the single-wire tidal current diagram is mainly drawn artificially, but with the continuous increase of transformer stations and lines, the task of drawing a wiring diagram of the power transmission network with the help of manpower is more and more difficult, and a generated scheduling large-screen wiring diagram presents more and more crowded and disorder states and brings difficulties to scheduling operators to distinguish. The system comprises a data reading module, a data maintenance and management module, an electric power system resource query module, a diagram generation module, a diagram query module, a diagram output module and a system management module. The system fulfills the aim of automatically generating the single-wire tidal current diagram and solves the problems of low efficiency and easy errors caused by relying on manual diagram drawing for a long time.

An intelligent and optimized distribution transformer outage research and judgment system includes an intelligent distribution transformer shutdown system, a production management system, a distribution automation system, an intelligent dispatching management system, an energy management system, a power consumption information acquisition system, and a low-voltage switch state monitoring system. Effective information of multi-source data is acquired from the energy management system, the intelligent dispatching management system, the production management system, a power dispatching assistant decision system and the power consumption information acquisition system. Abnormal outage events are screened and discriminated using the big data technology. Outage events are classified through a distribution transformer outage type mathematical model. Corresponding outage work orders and repair strategies are pushed for different types of distribution transformer shutdown events. Thus, the outage time is reduced, and users are more satisfied with electricity.

The invention discloses a negative-damping low-frequency oscillation and forced power oscillation distinguishing method, relating to scheduling automation of a power system and safety operation of a power grid. The method comprises the following steps of: calculating energy flow direction factors of all generators and load branches based on data acquired by a power grid wide area measuring system (WAMS) when negative-damping low-frequency oscillation or forced power oscillation happens in the power grid; judging whether a definite external disturbance source exists in the power grid; if the definite external disturbance source exists, judging that a low-frequency oscillation mechanism is based on forced power oscillation; and if no external disturbance source exists, judging that the low-frequency oscillation mechanism is based on negative-damping low-frequency oscillation. The negative-damping low-frequency oscillation and forced power oscillation distinguishing method has the advantages that the basis is provided for the power dispatching department to take corresponding measures for rapidly inhibiting oscillation when the power grid has low-frequency oscillation; in addition, the calculating method is simple and feasible, high in calculating speed, capable of meeting the requirement of a real-time oscillation judgment mechanism of the power grid and strong in practicability.

The invention relates to wind power generation, and discloses an energy storage adjusting system for a wind power field. In the energy storage adjusting system, a wind generating set is arranged between the wind power field and a grid-connected transformer; the signal control end of the wind generating set is connected with a central energy storage control system; the central energy storage control system is connected with a lithium power energy storing system and a grid-connected bidirectional inverter through a CAN (Controller Area Network) bus; and the lithium power energy storing system is connected in parallel to the joint of the output end of the wind generating set and the grid-connected transformer through the grid-connected bidirectional inverter. Due to the adoption of the energy storage adjusting system, the problems of power grid voltage fluctuation and frequent connection failure of the wind generating set caused by momentary voltage sag due to grid connection of the wind power filed, arrangement and implementation of a power scheduling plan after the grid connection, and the like are solved, and the beneficial effects of improving the grid connection performance of the wind power field, stabilizing the power output of a smooth wind power field, prolonging the service life of machinery and electric equipment of the system, ensuring stable power grid frequency, and the like are obtained.

The invention discloses a distributed economic dispatch and coordination control method for a micro-grid system, and belongs to the technical field of distributed generation. The distributed economic dispatch and coordination control method comprises the steps that m loads are controlled by n distributed power sources; the first distributed power source is used as a master control unit, the V/f control method is adopted for control, the master control unit is made to supply voltage and frequency references to the other distributed power sources in a micro-grid, and fluctuations of output power and loads of the other distributed power sources are tracked through charging and discharging control; the other distributed power sources are controlled by the PQ control method, provide output power for the micro-grid, and are responsible for power dispatch of the micro-grid; the distributed economic dispatch algorithm is used for calculating output results of the optimum active power of all the distributed power sources. The distributed economic dispatch and coordination control method is used for controlling and coordinating the micro-grid system, so that the generation cost of the system is greatly reduced, system communication traffic is reduced, and system running reliability is ensured.

The invention discloses a method for optimizing electric-quantity-constrained monthly unit commitment and based on an induction target function and belongs to the technical field of power dispatching automation. The method includes building a mathematical model of a monthly unit commitment plan according to unit commitment basic data, building a mathematical model of a loose monthly unit commitment plan and calculating the model to obtain the loose monthly unit commitment plan, counting the number of start-stop variables with the value as 0 or 1 in the loose monthly unit commitment plan, building the induction target function of the mathematical model of the loose monthly unit commitment plan, conducting iteration optimization till the number of the start-top variables with the value as 0 or 1 stops increasing, adopting the induction target function to obtain the monthly unit commitment plan, conducting further optimization if a deviation factor of the monthly unit commitment plan is larger than a deviation threshold and finishing optimization otherwise. The method can be used for optimizing the electric-quantity-constrained monthly unit commitment plan, calculation efficiency is remarkably improved, and the method has important practical significance and good application prospects.

The invention provides an intelligent power grid security and privacy protection data aggregation method based on fog computing. The method comprises the following steps: acquiring, encrypting and uploading a user electricity consumption data report through an intelligent electric meter; performing fine-grained aggregation by using the fog nodes capable of mining local computing power and uploading the fine-grained aggregation to the cloud nodes; completing coarse-grained aggregated data through the cloud node and uploading the coarse-grained aggregated data to the electric power service mechanism; and finally collecting, processing and analyzing the coarse-grained aggregation data by a reliable power service mechanism, and generating a power dispatching scheme according to the analysis results. The method comprises the following specific steps: (1) initializing a system; (2) packaging an intelligent electric meter data report; (3) packaging a fog node fine-grained aggregation report;(4) packaging the coarse-grained aggregation report of the cloud node; and (5) reading the aggregation report by the power service mechanism. The method has the advantages that the security and integrity of user privacy data are protected, multi-resolution aggregation is carried out on the user privacy data, the transmission consumption is reduced, and flexible power dispatching is realized.

The invention discloses an alternating current and direct current interconnected power grid wind and fire coordination dynamic economy scheduling optimization method and belongs to the technical field of electric power scheduling automation. The method comprises the following steps: dynamic economy scheduling optimization fundamental data is obtained, a main model for dynamic economy scheduling optimization and sub-models for a plurality of periods of time are constructed; the main model for dynamic economy scheduling optimization is subjected to solving operation; an optimal solution is obtained; a calculation result is transmitted to the sub-models for the plurality of periods of time; the optimal solution for the main model is substituted into the sub-models and serves as a known condition for constructing a sub-model constraint, optimization objects of all the sub-models are subjected to parallel computing and verifying operation; if the optimization objects omega of all the sub-models are 0 or reach a maximum number of iterations, the obtained result is used as an optimal solution for the alternating current and direct current interconnected power grid wind and fire coordination dynamic economy scheduling optimization. The method disclosed in the invention can be used for optimizing a current electricity generating plan for an alternating current and direct current interconnected power grid containing wind power and thermal power; calculation precision and calculation efficiency are effectively improved, safety of a power generation and transmission plan is safeguarded, and important practical significance and good application prospects can be realized.

The invention discloses a power dispatching production management system based on cloud computing and a realization method of the power dispatching production management system. The system supports panoramic real-time presentation of diversified and isomerous mass data; the real-time panoramic data presentation refers to real-time visualization of various result indexes obtained through analysis of operating data, display design provides a friendly visualization mode for user experience and adapts to characteristics of diversity and isomerization of a current terminal, so as to develop an omnibearing monitoring and analyzing system on the basis of a visualization technology, therefore, the sensory ability of dispatching persons to power grid states can be improved, and the dispatching persons can rapidly and effectively respond to emergency situations; the power dispatching production management system can schedule maintenance plans in a rolling manner and has the functions of monthly plan high-class statistic analysis display and automatic generation of power failure information.

The invention provides a multilevel joint coordination automatic voltage control method based on decision trees, which relates to the technical field of power system dispatching automation. The method aims to solve the control problem of joint coordination between upper-level and lower-level systems in the same power system, and meanwhile, the decision tree method adopting data mining can also be used to solve the technical problem of the joint coordination between upper-level and lower-level station equipment in the systems of the same level. The method comprises the following implementation processes: 1) performing automatic voltage control AVC construction and practical operation; 2) establishing a data warehouse and node attributes; 3) putting up a decision tree; 4) testing samples; 5) adjusting the node attributes and cutting branches; 6) verifying the samples; and 7) generating a coordination strategy. The data mining method based on decision trees has the characteristics of high intuitionistic property, easy operation and capability of flexibly expanding the node attributes. The method can extract results to be predicted from a great amount of relevant information, which provides bases for power dispatching automatic control decision.

The invention relates to a power transaction method based on a block chain, and belongs to the field of energy internet. According to the method, a power seller and a power purchaser are respectivelyused as a node, and N nodes jointly construct a block chain technical platform; an acknowledged master node is selected according to the voting system of the block chain, wherein the master node automatically formulates a power unit price according to the requirements of a power seller and a power purchaser; Transaction request data of the electricity seller and the electricity purchaser are sentto the block chain platform, and the data are stored in the block chain. Data interaction and storage of the electricity selling party and the electricity purchasing party pass through the block chainplatform, and after a transaction occurs, a result is stored in each node; And the transaction result notifies the power dispatching module to dispatch the electricity seller to the electricity purchaser, and the transaction is finished. According to the invention, the energy power transaction is more effective and reliable, the transaction is transparent, and the transaction information can be prevented from being tampered.

A site management system (11) is provided for a power system (8) at site in a utility distribution grid (10). The power system (8) includes multiple fuel cell power plants, e.g., fuel cells, (18) and one or more loads (14), for selective connection/disconnection with the grid (10). The site management system (11) controls the power plants (18) in an integrated manner, alternatively in a grid connected mode and a grid independent mode. The multiple power plants (18) at the site may be viewed and operated as a unified distributed resource on the grid (10). The site management system (11) provides signals representative of the present power capability (Kw Capacity—88) of each of the power plants (18), and a signal (Total Kw Capacity—95) representative of the total present power capability at the site. These power representations are used to appropriately assign power dispatch loadings to the respective fuel cellspower plants (18) in the grid connected mode and in the grid independent mode, and may also be used for load shedding.