CN112149965A - Energy-saving power generation dispatching support system - Google Patents

Energy-saving power generation dispatching support system Download PDF

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CN112149965A
CN112149965A CN202010920214.6A CN202010920214A CN112149965A CN 112149965 A CN112149965 A CN 112149965A CN 202010920214 A CN202010920214 A CN 202010920214A CN 112149965 A CN112149965 A CN 112149965A
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张炀
史军
祝宇翔
程韧俐
车诒颖
李江南
钟雨芯
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Shenzhen Power Supply Bureau Co Ltd
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Abstract

The invention discloses an energy-saving power generation dispatching support system, which realizes the power grid load forecasting of a plurality of days in the future in a short term and the compilation of a short-term energy-saving dispatching plan by the mutual cooperation of various modules such as a basic parameter management module, a static safety verification module, a bus load forecasting module, a short-term system load forecasting module, a short-term bus load forecasting module, a day-ahead plan compiling module, an information inquiring and publishing module and the like.

Description

Energy-saving power generation dispatching support system
Technical Field
The invention relates to the technical field of power grid dispatching, in particular to an energy-saving power generation dispatching support system.
Background
The southern power grid implements a four-stage dispatching system of 'unified dispatching and hierarchical management', and a power dispatching mechanism is divided into four stages: the first-level dispatching is a power dispatching control center of a power grid in south China; the second-level scheduling is a provincial (autonomous region) level scheduling mechanism; the third-level scheduling is a region (city, state) level power scheduling mechanism; the four-level scheduling is a county-level power scheduling mechanism. The dispatching mechanisms at all levels are in the upper-lower level relation in the dispatching service activity, and the lower level dispatching mechanisms must obey the dispatching command of the upper level dispatching mechanisms. No matter the ownership and the operation right of the power plant and the transformer substation in the network belong to, the power plant and the transformer substation must obey the dispatching command of a corresponding dispatching mechanism. And each level of power dispatching mechanism of the southern power grid is responsible for organizing, commanding, guiding and coordinating the operation of the power grid under jurisdiction, and professional management work such as power grid dispatching, operation modes, water and electricity dispatching, relay protection, power communication, dispatching automation and the like, so that the safe, economic, high-quality and environment-friendly operation of the power grid is ensured.
When a certain level of scheduling mode is upgraded from the original regional scheduling to a provincial scheduling mechanism, the scheduling jurisdiction and scheduling responsibility of the certain level of scheduling mode are greatly changed, such as the Shenzhen power supply bureau. In order to adapt to the change of scheduling responsibilities and facilitate the development of corresponding scheduling services, the existing scheduling service system of the power supply bureau with the changed scheduling mode needs to be upgraded and modified, and meanwhile, a scheduling service system adapting to the change of the scheduling responsibilities is built.
Disclosure of Invention
The technical problem to be solved by the invention is to provide an energy-saving power generation dispatching support system to realize the compilation of a short-term energy-saving dispatching plan and the optimized distribution of the load of a power grid when a certain stage dispatching mode in the power grid is changed, and meet the short-term safety requirement of the power grid.
In order to solve the above technical problem, the present invention provides an energy-saving power generation scheduling support system, including:
the basic parameter management module is used for managing all basic parameters for energy-saving scheduling planning;
the static security check module is used for setting and managing security check related parameters, and performing security check and result display on various plans;
the bus load forecasting module is used for forecasting the load requirements of different buses in each time period;
the short-term system load prediction module is used for acquiring the change rule of the system load along with various factors according to the historical data, meteorological data and holiday data of the power grid load, establishing a first prediction model, and predicting the system load of multiple days in the future by using the first prediction model;
the short-term bus load prediction module is used for acquiring the change rule of the bus load along with various factors according to the historical data, meteorological data and holiday data of the bus load, establishing a second prediction model, and predicting the bus load of multiple days in the future by using the second prediction model;
the day-ahead planning module is used for preparing data and a scheme for planning, and calling corresponding planning calculation service according to the prepared data and the scheme to realize the specific planning of the plan;
and the information inquiry and release module is used for inquiring, printing, exporting and downloading various project plans finally formed by the system.
Further, the energy-saving power generation scheduling support system further includes:
the evaluation and analysis module after execution is used for analyzing each index in the plan execution process;
and the system management module is used for providing a uniform system management environment for the whole system and providing a uniform client authority access management function.
Further, the basic parameter management module includes:
the basic data management submodule is used for managing various static data;
the operation data management submodule is used for managing various dynamic data;
the static data includes at least: the method comprises the following steps of (1) power grid information, basic attributes of a power generation group or a power plant, geographic position attributes and attribution relations, and registration parameters of each unit of the power plant;
the dynamic data includes at least: the system comprises unit sequencing information, primary energy information, power generation consumption, emission and heat supply information, a power generation and transmission equipment overhaul and commissioning operation plan, a power purchase/sale plan, a standby plan, a tie line plan, monitoring elements, a unit fixed output plan, subarea standby management and meteorological data.
Further, the static security verification module includes:
the safety check calculation control submodule is used for setting and managing safety check related parameters;
the static safety check submodule is used for supporting manual selection of various plans which are not checked at present or interface selection of external plan files, realizing safety check of the plans according to the set current control parameters, and has the functions of progress of the safety check process and graphical monitoring of results of corresponding stages;
and the static security check display submodule is used for displaying the static security check result.
Further, the static security check display submodule supports a display mode at least including: tables, curves, graphs;
the supported display perspectives include at least: station diagrams, tidal current diagrams, geographical wiring diagrams;
the supported display means at least comprise: and displaying the trend section in a single time interval, and displaying the trend in a rolling way in multiple time intervals.
Further, the day-ahead planning module includes:
the data preparation submodule is used for preparing basic data, constraint condition options, optimization targets and corresponding algorithm options for planning and managing different planning schemes formed by different selections;
and the planning sub-module is used for calling corresponding planning computing service according to the prepared data and scheme so as to realize the specific planning of the plan.
Further, the planning sub-module includes:
the initial plan compiling submodule is used for calculating the total power generation load of the regulating and managing units according to the obtained load prediction, the tie line plan, the hydropower plan, the fixed output plan and the like and according to the power balance relation, decomposing the output of the regulating and managing units in 96 time intervals, and realizing the initial power generation plan compiling;
the safety constraint power generation plan compiling submodule is used for calculating an optimal power generation plan meeting various constraints according to a set optimization target and in consideration of various set constraint conditions;
the practical correction submodule is used for correcting the plans in the same power plant so as to ensure that the output of the whole power plant is unchanged in each period after correction and balance distribution among the power plants is not carried out;
and the safety checking submodule is used for carrying out safety checking and displaying on the planning process.
Further, the system management module includes:
the planning process control and management submodule is used for realizing the flow control and management of the planning process according to the process requirement of specific planning;
the system parameter setting and managing submodule is used for setting and managing system parameters;
the resource monitoring submodule is used for analyzing and counting the system performance, monitoring the equipment state and monitoring and controlling all planned processes;
the safety management submodule is used for managing system authority setting and user login;
and the system log submodule is used for carrying out trace management on important operation behaviors of the system.
Further, the short-term system load forecasting module forecasts the system load of multiple days in the future, and the method at least comprises the following steps:
time series methods, artificial neuron network methods, and similar day methods.
Further, the short-term bus load forecasting module forecasts the bus load of multiple days in the future, and the method at least comprises the following steps:
a proportional distribution method, a time series method, an artificial neuron network method, and a similar daily method.
The embodiment of the invention has the beneficial effects that: through the mutual cooperation of all modules, the power grid load prediction in a short period (multiple days in the future) and the compilation of a short-period energy-saving scheduling plan are realized, when a certain level of scheduling mode is upgraded from the original regional scheduling to a provincial scheduling mechanism, the change of scheduling responsibility can be adapted, the development of corresponding scheduling services is facilitated, the level of power grid scheduling management is improved, the user experience degree is good, and the satisfaction degree is high.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of an energy-saving power generation scheduling support system according to an embodiment of the present invention.
Fig. 2 is another schematic block diagram of an energy-saving power generation scheduling support system according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments refers to the accompanying drawings, which are included to illustrate specific embodiments in which the invention may be practiced.
Referring to fig. 1, an embodiment of the present invention provides an energy-saving power generation scheduling support system 100 for meeting a short-term safety requirement of a power grid, including:
a basic parameter management module 101, configured to manage all basic parameters of energy-saving scheduling planning;
the static security check module 102 is used for setting and managing security check related parameters, and displaying security check and results of various plans;
the bus load forecasting module 103 is used for forecasting the load requirements of different buses in each time period;
the short-term system load prediction module 104 is used for finding out the change rule of the system load along with various factors according to the historical data, meteorological data and holiday data of the power grid load, establishing a first prediction model, and predicting the system load of multiple days in the future by using the first prediction model;
the short-term bus load prediction module 105 is used for finding out the change rule of the bus load along with various factors according to the historical data, meteorological data and holiday data of the bus load, establishing a second prediction model, and predicting the bus load of multiple days in the future by using the second prediction model;
the day-ahead planning module 106 is used for preparing data and schemes for planning, and calling corresponding planning calculation services according to the prepared data and schemes to realize the specific planning of the plan;
and the information inquiry and publishing module 107 is used for inquiring, printing, exporting and downloading various project plans formed by the system finally.
It can be understood that, according to the technical scheme provided by this embodiment, through the mutual cooperation of the basic parameter management module, the static security verification module, the bus load forecasting module, the short-term system load forecasting module, the short-term bus load forecasting module, the day-ahead plan compiling module, the information query and release module and other modules, the short-term (multiple days in the future) power grid load forecasting and the short-term energy-saving dispatching plan compiling are realized, when a certain-stage dispatching mode is upgraded from the original regional dispatching to the provincial dispatching mechanism, the technical scheme provided by this embodiment can adapt to the transformation of dispatching responsibilities, facilitates the development of corresponding dispatching services, improves the level of power grid dispatching management, and has good user experience degree and high satisfaction degree.
Referring to fig. 2, an energy-saving power generation scheduling support system 200 according to another embodiment of the present invention for meeting the short-term safety requirement of the power grid includes:
a basic parameter management module 201, configured to manage all basic parameters of energy-saving scheduling planning;
the static security check module 202 is used for setting and managing security check related parameters, and displaying security check and results of various plans;
the bus load forecasting module 203 is used for forecasting the load requirements of different buses in each time period;
the short-term system load prediction module 204 is used for finding out the change rule of the load along with various factors according to the historical data, meteorological data and holiday data of the power grid load, establishing a model and forecasting the system load of multiple days in the future by using the model;
the short-term bus load prediction module 205 is used for finding out the change rule of the bus load along with various factors according to the historical data, meteorological data and holiday data of the bus load, establishing a model, and forecasting the bus load of multiple days in the future by using the model;
a day-ahead planning module 206, configured to prepare data and a scheme for planning, and call a corresponding planning calculation service according to the prepared data and scheme to implement specific planning of a plan;
and the information inquiry and publishing module 207 is used for inquiring, printing, exporting and downloading various project plans formed by the system finally.
The post-execution evaluation and analysis module 208 is used for analyzing various indexes in the plan execution process;
and the system management module 209 is used for providing a uniform system management environment for the whole system and providing a uniform client right access management function.
It can be understood that, according to the technical scheme provided by this embodiment, through the mutual cooperation of the basic parameter management module, the static security verification module, the bus load forecasting module, the short-term system load forecasting module, the short-term bus load forecasting module, the day-ahead plan compiling module, the information query and release module and other modules, the short-term (multiple days in the future) power grid load forecasting and the short-term energy-saving dispatching plan compiling are realized, when a certain-stage dispatching mode is upgraded from the original regional dispatching to the provincial dispatching mechanism, the technical scheme provided by this embodiment can adapt to the transformation of dispatching responsibilities, facilitates the development of corresponding dispatching services, improves the level of power grid dispatching management, and has good user experience degree and high satisfaction degree.
In order to facilitate understanding of the energy-saving power generation dispatching support system meeting the short-term safety requirement of the power grid, the functions, principles and characteristics of each component module of the system are specifically described as follows:
the first basic parameter management module is used for managing all basic parameters for energy-saving scheduling planning, and the basic parameters can be divided into two categories from the update frequency of data: namely a base dataclass and a run dataclass. In a research state, basic data can be automatically adopted or manually set data under various possible conditions such as certain typical conditions, extreme conditions and the like, a data template is established, and plan research and analysis of various possible conditions are carried out. The various types of data in the historical state completely adopt the historical data, and the data is not allowed to be modified in any form.
Preferably, the basic parameter management module includes:
the basic data management submodule is used for managing various static data;
the operation data management submodule is used for managing various dynamic data;
the static data includes at least: the method comprises the following steps of (1) power grid information, basic attributes of a power generation group/power plant, geographic position attributes and attribution relations, and registration parameters of each unit of the power plant;
the dynamic data includes at least: the system comprises unit sequencing information, primary energy information, power generation consumption, emission and heat supply information, a power generation and transmission equipment overhaul and commissioning operation plan, a power purchase/sale plan, a standby plan, a tie line plan, monitoring elements, a unit fixed output plan, subarea standby management and meteorological data.
And the basic data management submodule is used for realizing the management of various types of static data, namely various types of data which are almost invariable or have infrequent change frequency. The basic data management realizes the addition, deletion, modification and version management of the basic data, supports the corresponding query of various historical information and version information, and supports the batch import of data in file formats such as EXCEL and the like.
The basic data management submodule mainly realizes the management of the following data:
1) and (3) power grid information: the method comprises the following steps of setting the existing power grid mechanism, basic attributes, geographical position attributes, nameplate parameters and power transmission and transformation technical performance parameters of a power grid model and equipment thereof;
2) basic attributes, geographical location attributes, attribution relations and the like of the power generation group/power plant and the like.
3) Registering parameters of each unit of the power plant: the method comprises the steps of unit type, available capacity, minimum technical output, climbing rate, start-stop cost, start-stop time parameters, auxiliary service capacity, AGC (automatic gain control) regulation rate, fuel type and the like.
And the operation data management submodule is used for realizing the management of various dynamic data, namely various data which are operated daily and change at any time, including the prediction or planning information of the data and the corresponding actual occurrence information. The operation data management realizes the addition, deletion, modification and version management of the operation data, supports the query of various historical information and version information, also supports the analysis and comparison of prediction information or plan information and actual operation information, and supports the diversified display of query and analysis results in the modes of charts, tables and the like.
In the aspect of data acquisition, besides manual maintenance, batch import of data in file formats such as EXCEL and the like is also supported, for example, the data has an external system responsible for daily maintenance, the system has a corresponding external interface, and the data can be automatically acquired through the interface in a standard mode or the interface acquisition is manually started.
The data management submodule is operated to mainly realize the management of the following data:
1) unit sequencing information: government assigned unit sequencing list
2) Primary energy information: the primary energy information comprises prediction data and actual data of primary energy such as coal conditions, water conditions, wind conditions, sun and sunshine conditions and the like.
3) Power generation consumption, emission and heat supply information: coal consumption information, equal micro coal consumption information, sulfide emission information and heat supply distribution information of the hot spot unit for power generation of the thermal power unit.
4) And (3) generating and transmitting equipment maintenance and commissioning and decommissioning plan: and (4) maintenance plans and commissioning and decommissioning plan information of all equipment related to the tidal current operation of all the main dispatching units and the power grid network in the whole network.
5) Purchase (sale) of electricity plan: a plan for buying (selling) electricity for a medium-long period such as year and month and a plan for actually buying electricity. The system supports detailed viewing and analysis of the power purchase and sale plan, such as each gateway, each tie line historical curve, actual curve, plan curve contrast chart.
6) Standby planning: the system power generation side standby, the rotary standby and the AGC adjustment standby are set according to the proportion or the absolute value, and can be classified and managed according to the power generation types and used for standby analysis and monitoring and early warning calculation of the power generation plan in the day ahead.
7) And (4) connecting line planning: the system supports the link plan query in a graph and table form and can query according to the general plan, the grouping plan and the branch plan. On the basis of automatically acquiring the latest tie plan, the total tie plan, the grouped tie plan, and each branch plan may be manually adjusted. The system provides the function of setting form single data and batch data.
8) A monitoring element: the monitoring elements currently set comprise a power transmission section, a transformer and a branch circuit, and the system can inquire power transmission limit values of the monitoring elements, provide table and graphic limit value display, provide table limit value modification, support time-interval element limit value setting, and provide list monitoring element addition and deletion.
9) And (3) unit fixed output plan: the system provides a table and graph mode to display the fixed plan of the unit.
10) And (3) partition standby management: the standby of the generating side, the rotating standby and the AGC adjustment standby are set according to the unit partition, classified management can be performed according to the generating type, a system supports table and graphic display, and a table single data and batch data partition standby setting function is provided.
11) Meteorological data: the meteorological data are important factors of load prediction, and the system supports the viewing and analysis of the meteorological data, such as historical curves, actual curves and prediction curve comparison graphs of meteorological temperature, sunlight and other data.
Second, preferably, the static security check module comprises:
the safety check calculation control submodule is used for setting and managing safety check related parameters;
the static safety check submodule is used for supporting manual selection of various plans which are not checked at present or interface selection of external plan files, realizing safety check of the plans according to the set current control parameters, and has the functions of progress of the safety check process and graphical monitoring of results of corresponding stages;
and the static security check display submodule is used for displaying the static security check result.
And the safety check calculation control submodule is used for realizing the setting and management of relevant parameters of safety check. The system supports a graphical interface to inquire the control parameters of the current security check calculation and supports the graphical interface to set various control parameters used in the security check calculation.
The control parameters of the safety check mainly comprise:
1) whether to carry out N-1 check;
2) whether ground state power flow check is carried out or not;
3) participating in a check period;
4) a balancing machine mode.
The latest check calculation control parameters are automatically used in the safety check calculation.
The static safety check submodule supports manual selection of various plans which are not checked at present, or an interface selects an external plan file, specifically realizes safety check of the plans according to the set current control parameters, and has the functions of progress of the safety check process and graphical monitoring of results of corresponding stages.
The static security check can select one or more of the following security check functions according to different control parameter settings so as to meet the security check service requirements of different time periods:
1) automatically generating check section tidal current data according to the equipment state, bus load prediction, unit power generation plan, network model and normal position setting, wherein the calculation result of the tidal current data is accurate and credible, and the node voltage is basically consistent with the actual historical similar section;
2) performing ground state static security check, and performing check analysis on the transmission section and the branch;
3) and performing N-1 static safety check, and performing check analysis on the line, the transformer and the direct current transmission element.
4) Correcting the optimized calculation result according to the checking result;
5) controlling and displaying a computing process, and displaying a computing progress and a computing state in each time period;
6) and the expected fault selection supports the definition and selection of the expected faults participating in the safety check, and supports the manual selection of the fault combination participating in the safety check.
The static security check display submodule realizes the display of a static security check result and mainly comprises the following functions:
and from various angles of the time dimension, the monitoring element dimension and the expected fault dimension, the safety checking result is displayed in various modes such as a table, a curve, a station diagram, a super-flow diagram, a geographical wiring diagram and the like.
And displaying the time intervals of heavy load, ground state out-of-limit and expected fault out-of-limit in the safety check calculation in the time dimension, and displaying the load flow and the check result in a plan mode at any time interval. The number of elements with overload and out-of-limit in each time period can be displayed.
And displaying the number of time intervals of overloading, out-of-limit and anticipated fault out-of-limit in the safety check calculation from the monitoring element dimension, and displaying the planned power flow of each principle in each time interval.
And displaying the number of the time intervals when the overload and the out-of-limit occur in a certain expected fault situation and the names of the elements with the most serious out-of-limit in a certain time interval from an expected fault dimension.
Preferably, the static security check display submodule supports a display mode at least including: tables, curves, graphs;
the supported display perspectives include at least: station diagrams, tidal current diagrams, geographical wiring diagrams;
the supported display means at least comprise: and displaying the trend section in a single time interval, and displaying the trend in a rolling way in multiple time intervals.
And the bus load forecasting module is used for completing a bus load forecasting function and forecasting the load requirements of different buses in each time period. The method has the advantages that the prediction and management of the bus load are implemented, the prediction precision of the bus load is improved, the management level of the load prediction work is improved, operating personnel can more accurately analyze the safe operation level and the stability margin of the power grid under the predicted load level, and powerful technical support is provided for the day-ahead safety check and energy-saving power generation scheduling work of the power grid.
1) The bus load prediction is required to distribute load prediction or system load or externally input regional load so as to complete the prediction of the bus load within a certain period of time (adjustable from 5 minutes to 1 hour) on a specified day;
2) the bus load prediction can be carried out on the basis of a common load data model and a date model to forecast the region and a single bus;
3) the bus load prediction has the functions of load data model creation and management;
4) the bus load prediction has the functions of load date model creation and management;
5) the provincial and local integrated bus load prediction function can be realized;
6) the network parameter correction and identification function is provided;
7) the method has the function of statistical analysis of load prediction errors.
And the fourth and short-term system load prediction module is mainly used for finding out the change rule of the load along with various factors according to the historical data, the meteorological data and the holiday data of the power grid load, establishing a proper model and forecasting the system load of multiple days in the future by using the model. The predicted method mainly comprises a time sequence method, an artificial neuron network method, a similar day method and the like.
The short-term system load prediction result is as follows:
1) the whole system is loaded in a time-sharing way;
2) the time-zone loads are differentiated individually.
The functions mainly comprise:
1) and (3) load comprehensive query: inquiring and comparing multiple calendar history loads and predicted load curves;
2) weather data management: inquiring and inputting management of historical measured weather information and predicted weather information;
3) festival and holiday definition management: the system is used for defining the start and end date of the holiday and the holiday type, and is used for load prediction classification and sample organization;
4) processing historical load pseudo data: automatically checking historical load data, identifying phenomena of loss of sampling points, abnormal sampling of partial measuring points and the like in the historical load, and correcting invalid data in the historical load to form a usable prediction sample;
5) and (3) prediction sample management: providing various prediction sample query and manual correction means such as graphs, curves and tables, and maintaining the prediction samples;
6) setting prediction parameters: the method comprises the following steps of allowing manual setting of prediction days, load partitioning, prediction time intervals, multi-prediction algorithm weight coefficients, prediction algorithm control parameters, automatic prediction starting time and the like;
7) and (3) load prediction: the load forecasting calculation is allowed to be started manually, can be started automatically according to the setting, and the load forecasting result is displayed in various forms such as graphs, curves and tables;
8) manual intervention: and various data display means and data modification means such as graphs, curves and tables are provided, and load forecasting personnel are assisted to flexibly adjust the forecasting result. The adjusting means comprises single data modification, specified range absolute quantity adjustment, specified range relative quantity adjustment, specified range reference historical load change trend, mouse load curve drawing, integral point load correction and automatic linear interpolation, specified range historical load taking, specified range historical predicted load taking and the like;
9) and (4) analyzing a prediction result: and analyzing and predicting daily power of the load, maximum power, minimum power, a maximum power occurrence period, a minimum power occurrence period, average power and the like. Analyzing the change of the electric quantity and the maximum and minimum predicted load with the previous day-to-day ring ratio, the last week-to-day ring ratio, the last month-to-day ring ratio and the last year-to-day ring ratio;
10) and (3) error analysis: analyzing the maximum error, the minimum error, the arithmetic mean error and the mean square error of the predicted load, wherein the maximum error, the minimum error, the arithmetic mean error and the mean square error comprise absolute errors and relative errors;
11) the prediction algorithm self-learns: and (4) automatically adjusting the weight coefficient of each prediction algorithm according to the analysis of the recent load prediction result, and improving the load prediction precision.
And fifthly, a short-term bus load prediction model is mainly used for finding out the change rule of the bus load along with various factors according to the historical data, the meteorological data and the holiday data of the bus load, establishing a proper model and forecasting the bus load for multiple days in the future by using the model. The forecasting method mainly comprises a proportion distribution method, a time sequence method, an artificial neuron network method, a similar daily method and the like.
The short-term bus load prediction result is as follows:
1) each bus is loaded in a time-sharing way;
2) and (5) the corrected bus load distribution coefficient.
The functions mainly comprise:
1) and (3) load comprehensive query: inquiring and comparing multi-calendar history loads and predicted load curves of each bus in different areas and different voltage grades;
2) weather data management: query and input management of historical measured weather information and predicted weather information are shared with a system load prediction function;
3) festival and holiday definition management: the system is used for defining the start and end date of the holiday and the holiday type, is used for load prediction classification and sample organization, and is shared with a system load prediction function;
4) processing historical load pseudo data: automatically checking historical load data, identifying phenomena of loss of sampling points, abnormal sampling of partial measuring points and the like in the historical load, and correcting invalid data in the historical load to form a usable prediction sample;
5) and (3) prediction sample management: providing various prediction sample query and manual correction means such as graphs, curves and tables, and maintaining the prediction samples;
6) setting prediction parameters: the method allows manual setting of prediction days, prediction time intervals, multi-prediction algorithm weight coefficients, prediction algorithm control parameters, automatic prediction starting time and the like;
7) and (3) load prediction: the load forecasting calculation is allowed to be started manually, can be started automatically according to the setting, and the load forecasting result is displayed in various forms such as graphs, curves and tables;
8) manual intervention: and various data display means and data modification means such as graphs, curves and tables are provided, and load forecasting personnel are assisted to flexibly adjust the forecasting result. The adjusting means comprises single data modification, specified range absolute quantity adjustment, specified range relative quantity adjustment, specified range reference historical load change trend, mouse load curve drawing, integral point load correction and automatic linear interpolation, specified range historical load taking, specified range historical predicted load taking and the like;
9) and (4) analyzing a prediction result: and analyzing the predicted load daily electric quantity, the maximum electric power, the minimum electric power, the maximum electric power occurrence period, the minimum electric power occurrence period, the average electric power and the like of each bus. Analyzing the change of the electric quantity and the maximum and minimum predicted load with the previous day-to-day ring ratio, the last week-to-day ring ratio, the last month-to-day ring ratio and the last year-to-day ring ratio;
10) and (3) error analysis: and analyzing the maximum error, the minimum error, the arithmetic mean error and the mean square error of the predicted load of each bus, including the absolute error and the relative error. And counting the bus prediction qualified rate, the bus point with the maximum average prediction error and the bus point with the minimum average prediction error. Counting the prediction error according to multiple strategies such as regions, voltage grades and the like;
11) the prediction algorithm self-learns: and (4) automatically adjusting the weight coefficient of each prediction algorithm according to the analysis of the recent load prediction result, and improving the load prediction precision.
Sixthly, the day-ahead planning module comprises:
the data preparation submodule is used for preparing basic data, constraint condition options, optimization targets and corresponding algorithm options for planning and managing different planning schemes formed by different selections;
and the planning sub-module is used for calling corresponding planning computing service according to the prepared data and scheme so as to realize the specific planning of the plan.
And the data preparation sub-module is used for automatically preparing basic data for planning (the basic data mainly comes from automatic acquisition and data declaration of the basic data management module), constraint condition options and optimization targets and corresponding algorithm options. The data preparation sub-module performs these functions and manages the different options to form different planning scenarios.
The data preparation sub-module allows basic data to be queried, manually input and manually adjusted, and regular data verification is performed on all data after data preparation is completed; and providing a graphical interface to inquire and set calculation control parameters such as a current optimized calculation target, safety check setting and the like.
1) Optimizing the target:
the coal consumption of system power generation is lowest;
the system network loss is minimum;
scheduling by three public methods;
the electricity purchasing cost of the system is lowest;
the system has the lowest environmental protection emission (power generation sulfide and CO 2);
the electric power market;
the above targets are combined for multi-objective optimization.
2) And (4) controlling options:
calculating the time period: 5-15 minutes;
voltage class: alternating current is 500KV and 220 KV; 800KV and 500KV direct current;
area range: whole network, province (district);
and (3) algorithm control: SCUC/SCED, equal micro-increment rate method, etc.;
safety check calculation control: whether to carry out N-1 check; whether ground state power flow check is carried out or not; participating in a check period; a balancing machine mode.
3) Optimizing calculation control:
the unit combination mode is as follows:
and (3) fully automatic unit combination: and the power generation planning module automatically calculates and generates an optimal unit combination plan according to the optimization target and the constraint condition, and simultaneously generates a unit output plan.
Inorganic group combination: the power generation planning module determines a unit combination plan according to the initial state of the unit, namely, the power generation planning module does not adjust the start and stop of the unit and only performs optimization calculation on the unit output plan. And the adjustment of the user on the unit combination state is supported, and the unit output plan is optimized on the basis of the unit combination plan adjusted by the user.
Semi-automatic unit combination: manually appointing the start-stop plan of part of the units, and performing combination optimization on the rest units and performing output optimization on the units without appointed fixed output by the power generation plan software.
And (3) adjusting and controlling the machine set:
adjusting the average adjustment amount;
adjusting the average adjusting proportion;
performance priority tuning (adjustable capacity, unit capacity).
And (3) constraint condition control:
whether to use ground state security constraints;
(whether monitoring element security constraints are used;
whether a fixed output constraint is used;
whether partition constraints are used.
The machine set is adjusted to participate in control:
and setting which units participate in regulation, wherein the units which do not participate in regulation are processed similarly according to the fixed output plan, and the plan is not adjusted in the calculation process.
4) Basic data:
the day-ahead planning is mainly prepared by the following data:
calculating system load prediction in a period;
calculating the bus load prediction in a period;
a device status;
fixing a force output plan;
planning the output of the small unit;
planning water and electricity;
a power grid model;
stabilizing the section;
a coal consumption curve;
a sulfide emission index;
setting a network normal position;
the latest power generation plan on the previous day;
a unit output reduction plan;
system standby requirement: the method comprises AGC adjustment standby, rotation standby and power generation side standby, and is used for standby capacity check;
and (3) partition standby requirement: the method comprises the steps of subarea AGC adjustment standby, rotary standby and power generation side standby, and is used for power generation planning;
the unit combination state: the latest unit combination state is used for initial planning and compiling;
network constraints;
the unit/power plant finishes the electric quantity and plans the electric quantity;
and (4) exchanging plans across zones.
5) Constraint conditions are as follows:
the day-ahead planning mainly considers the following constraints and fully prioritizes the constraints:
electric quantity balance: the power consumption of the system is kept balanced in each time period;
electric power balance: the power consumption of the system is kept balanced in each time period;
and (3) standby of the system: the rotating standby and the installed standby of the system at each time interval meet the minimum standby requirement;
and (3) unit operation constraint: the maximum output force, the minimum output force, the climbing speed and the starting and stopping times of the unit are restrained;
and (3) restricting the generating capacity of the unit: the maximum generating capacity and the minimum generating capacity of the unit are constrained;
and (3) machine group constraint: the method comprises the following steps of step reservoir power generation capacity incidence relation constraint, machine group maximum power generation capacity, minimum power generation capacity, maximum power and minimum power constraint;
and (3) power grid safety constraint: the power grid stable section constraint, the ground state safety constraint, the expected failure safety constraint and the direct current transmission power constraint are met;
and (3) energy storage unit constraint: the pumped electricity quantity is matched with the generated electricity quantity for constraint, and the upper reservoir water level constraint, the lower reservoir water level constraint and the final stage water level requirement constraint are carried out.
And after the data preparation is finished, the data verification is passed, and the planning sub-module calls corresponding planning calculation service according to the prepared data and the scheme to realize the specific planning of the plan.
All the plan must pass static safety check, and can select whether to carry out dynamic and steady safety check according to the requirement, the dynamic safety check must be realized by calling a scheduling pre-decision system, and the static safety check is realized by calling in the system.
The system supports the compilation and execution of single or multiple day-ahead planning schemes, monitors the execution progress of the executing planning scheme on line, and can check the result feedback of each execution stage in real time. Meanwhile, according to the management requirement, the system can immediately terminate some planning schemes.
The whole planning process mainly comprises initial planning, safety constraint power generation planning, practical correction, safety check display and the like.
Preferably, the planning sub-module comprises:
the initial plan compiling submodule is used for calculating the total power generation load of the regulating and managing units according to the obtained load prediction, the tie line plan, the hydropower plan, the fixed output plan and the like and according to the power balance relation, decomposing the output of the regulating and managing units in 96 time intervals, and realizing the initial power generation plan compiling;
the safety constraint power generation plan compiling submodule is used for calculating an optimal power generation plan meeting various constraints according to a set optimization target and in consideration of various set constraint conditions;
the practical correction submodule is used for correcting the plans in the same power plant so as to ensure that the output of the whole power plant is unchanged in each period after correction and balance distribution among the power plants is not carried out;
and the safety checking submodule is used for carrying out safety checking and displaying on the planning process.
And the initial plan compiling submodule is used for calculating the total power generation load of the regulating and managing units according to the obtained load prediction, the tie line plan, the water and electricity plan, the fixed output plan and the like according to the power balance relation and decomposing the output of the regulating and managing units in 96 time periods so as to realize the initial power generation plan compiling. The system may also obtain an initial plan from the short-term transaction management application in the event that the electricity market or electricity purchase and sale transaction covers the short-term transaction.
Initial planning does not take grid safety constraints into account. In the initial planning, different decomposition modes are respectively adopted for the power generation plan of the dispatching unit according to different dispatching modes, for example, an energy consumption priority sequence is adopted in an energy-saving dispatching mode, a power purchase price priority sequence is adopted in a market mode, and a power generation progress proportion mode is adopted in a three-public mode for decomposition.
And in the initial planning process, checking the power balance relation and the unit output range of each time period of the whole system, and if the power balance or output out-of-limit cannot be met, giving warning information to prompt a user to intervene.
And the safety constraint power generation plan compiling sub-module is used for calculating the optimal power generation plan meeting various constraints according to the set optimization target and various set constraint conditions.
The safety constraint power generation planning adopts a safety constraint economic dispatching optimization algorithm based on a linear programming algorithm.
The consideration of the power grid safety constraint can be divided into the following five levels, the calculation response time of each level is different, and a user can set the power grid safety constraint considering which level according to the requirement.
1) Grid safety constraints, known as unconstrained power generation planning (unconstrained should strictly be a grid-free safety constraint), are not considered;
2) considering power transmission section constraints;
3) considering monitoring element constraints including critical legs other than power transmission cross-sections;
4) all transmission sections, transformers and branches are considered;
5) consider an N-1 break-safe constraint, consider a predefined fail-safe constraint.
And the practical correction submodule is used for realizing correction on the plan inside the same power plant, ensuring that the whole plant output is unchanged in each period after correction, and not carrying out balance distribution among power plants.
After the dispatching plan is practically corrected, the optimization target and the safety check calculation process can be restarted, and the optimization performance caused by comparison and adjustment is reduced.
The practical correction function mainly comprises:
1) the reverse frequent regulation of the unit is smooth:
the method is used for eliminating the problems that the total output of a plurality of units in a plant is stable, and the output of the units fluctuates obviously and the practicability is lacked due to the fact that different units frequently carry out reverse adjustment. At the moment, the output of a plurality of units in the plant is smoothly distributed, and the frequent change of the output of the units is eliminated.
2) Smoothing the curve of the unit:
the preliminary consideration is smoothing according to the system load trend.
3) Adjusting a vibration area of the unit:
according to the set vibration region setting, the adjustment and distribution of the unit output in the vibration region are eliminated by balancing the output distribution among the units in the plant.
4) Adjusting the dead zone of the unit:
when the output adjustment of the units is lower than a certain range, the output adjustment of a plurality of units in the plant is merged into one unit, and the adjustment frequency of other units is reduced.
5) Starting and stopping mill adjustment:
when the output adjustment of the unit needs to start and stop the coal mill, the output of other units in the plant is adjusted, and the adjustment amount of the unit needing to start and stop the coal mill is reduced.
The planning process comprises safety check, and the safety check submodule used in the day-ahead power generation planning mainly has the functions of:
1) automatically generating checking section flow data according to the equipment state, bus load prediction, unit power generation plan, network model and normal position setting;
2) performing ground state safety check, and performing check analysis on the transmission section and the branch;
3) performing N-1 safety check, and performing check analysis on the branch circuit and the transformer element;
4) sending the checking result to the optimized computing service according to a specified format, and receiving a calling request of the optimized computing service;
5) controlling and displaying a computing process, and displaying a computing progress and a computing state in each time period;
6) the method comprises the following steps of selecting an expected fault, supporting definition and selection of the expected fault participating in safety check, and supporting manual selection of a fault combination participating in safety check;
7) and calling an external system to perform dynamic security check.
According to the technical scheme, the unit and power grid constraints are fully considered according to the next day load prediction, the maintenance arrangement is combined, the unit combination and the unit load distribution are carried out according to the selected optimization target, the 96-point power distribution plan is determined, the load distribution result meets the safety requirements of the power grid normal mode and the N-1 mode, the power grid dispatching management level is improved, and the user experience degree and the satisfaction degree are high.
Seventh, information inquiry and release module:
the system user can inquire and issue module inquiry, printing and inquiry according to the authority given by the system to derive WORD/EXCEL and download various project plans formed by the system finally and related analysis results, even various information such as calculation parameters and the like.
The plan can be directly issued to an information disclosure platform, a power plant or other systems with requirements, such as DMIS/EMS and the like according to requirements through an approval plan; the system authorizes the user to also inquire and download the plan that has been released currently and historically.
In addition, the system can also inquire the output and load balance conditions of the whole network and the operation information of each power plant and each unit, check and analyze energy conservation and economic indexes after the energy-saving scheduling plan is compiled, check and analyze the relevant tidal current data and curves of each line, check and analyze the relevant tidal current data and curves of each section, check out line out-of-limit information, influence information on the blocking contribution rate and the comprehensive contribution rate of each node before and after the blocking management, and the like. The system supports various modes such as graphs and tables for checking analysis results, also provides a printing function for query results, and can also output energy-saving scheduling plan results to WORD/EXCEL files according to a format and a statistical mode specified by a user.
And the evaluation and analysis functional module after execution is used for realizing the analysis of various indexes in the planned execution process, including the analysis of electricity charge and electricity price, coal consumption rate and coal consumption, an actual power generation structure and the analysis of coal saving benefits, so that the comprehensive analysis and evaluation of economic benefits, social benefits and energy saving and consumption reduction benefits generated by implementing energy saving power generation scheduling are carried out, and a basis is provided for the decision of government departments.
1) The system has a plan differentiation statistical analysis function, performs statistics on various data, and analyzes plan differences under different targets, such as safety stability difference, energy consumption difference, electricity purchase cost difference and the like;
2) the graphical result display function is good;
3) post-evaluation analysis includes at least the following:
analyzing the electricity price;
analyzing coal consumption;
analyzing the actual electricity price;
analyzing actual coal consumption;
analyzing a power generation structure;
energy saving and consumption reduction analysis;
analyzing the benefit of resource optimization configuration;
analyzing energy-saving benefits;
scheduling plan pre-evaluation;
scheduling and running comprehensive evaluation;
analyzing economic compensation;
evaluating the unit competitiveness;
and (5) planning execution condition analysis.
4) A scheduling evaluation analysis method;
5) and (4) displaying an evaluation result:
the system provides a visual analysis tool, tracks and displays real-time information of power grid dispatching in real time, adopts a virtual map as a display carrier, realizes an information retrieval mode with multiple layers, multiple attributes and multiple key indexes, and applies various graphic display tools such as radar maps, pie charts and the like.
Ninthly, the system management module includes:
the planning process control and management submodule is used for realizing the flow control and management of the planning process according to the process requirement of specific planning;
the system parameter setting and managing submodule is used for setting and managing system parameters;
the resource monitoring submodule is used for analyzing and counting the system performance, monitoring the equipment state and monitoring and controlling all planned processes;
the safety management submodule is used for managing system authority setting and user login;
and the system log submodule is used for carrying out trace management on important operation behaviors of the system.
The system management module is used for providing a uniform system management environment for the whole system, and comprises functions of realizing management system level parameter setting of each main function of the system, realizing monitoring and clustering management of main service processes of the system, providing uniform client authority access management and the like.
A planning process control and management submodule:
the flow control and management of the planning process can be realized according to the process requirements of specific planning, and the basic requirements on the flow control and management are as follows:
1) the flow control programming tool should provide a friendly human-machine interface to accomplish the following operations, including:
the method comprises the steps of executing a flow cycle, starting time, executing sequence and cycle of each service and delay time of event triggering;
determining the execution sequence;
and (5) starting and stopping operation.
2) The flow chart of the specific execution of each flow gives graphical display, and marks the current running service function, the end time and the like;
3) the method has the advantages that the method carries out flow arrangement and control through a script arrangement mode;
4) various functional services and calculation analysis service definitions can be customized into new services through any combination;
5) the creation, calling and destruction of the service flow do not affect the functions and performances of each public service and the calculation analysis service;
6) the process control can be started periodically, manually or by events, and the starting time and period can be defined;
7) the flow control is abnormally interrupted before the completion due to software or hardware faults, a prompt is given in an alarm mode, and the reason for stopping is visually displayed;
8) the service execution process after service arrangement can be monitored and recorded;
9) the process control and management should have perfect authority management, at least supporting the following functions:
defining the authority of the user for using the calculation analysis service according to the role and the user;
the content of the calculation analysis service used by the user is determined by the permission setting;
the service registration of the third-party system must also be authenticated and controlled by the authority.
The system parameter setting and managing submodule mainly realizes the following functions:
1) configuration management of system operation modes, such as configuration and management of application clusters;
2) configuration management of automatic fault switching and manual switching;
3) setting and managing system-level application parameters, environment parameters and the like;
4) event information should be generated in fault switching, manual switching and parameter setting;
5) data, backup and restoration of setting parameters.
The resource monitoring submodule mainly realizes the following functions:
1) analyzing the performance of the statistical system in a table, pie chart and other graphical representation modes, such as: CPU load, network resources, process resources, memory, disk occupation, etc.;
2) monitoring the equipment state, identifying the faults of computer equipment and network equipment in the system and corresponding fault types and giving an alarm, such as detectable equipment faults of switch faults, computer faults (such as overhigh CPU load rate, hard disk errors or capacity overrun, non-fatal errors of an operating system and the like) and the like;
3) all planned processes can be monitored and controlled;
4) the alarm information can be sent to the related personnel through mails and the like according to the requirements.
The safety management submodule mainly realizes the following functions:
1) and (3) permission setting:
a) only the system administrator has the right to operate the authorization password, and the authority of other operators is authorized by the system administrator;
b) the system has a perfect network login mechanism, and ensures the network security of the system;
c) the operation authority and the use range of various operators are comprehensively set according to roles and users;
d) the remote access automation system must be authenticated.
2) User login: the user must log in when entering the system operation, the intranet user logs in through an account and a password, and the extranet user logs in through a USB KEY and an account password.
The system log submodule is used for carrying out trace management on important operation behaviors of the system and mainly realizes the following functions:
1) carrying out brief log record on system management or functional operation to realize detailed record of key operation;
2) the log files are managed and stored in a unified mode, and inquiry and statistics are carried out in a man-machine interface mode.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
As can be seen from the above description, the embodiments of the present invention have the following beneficial effects: through the mutual cooperation of all modules, the power grid load prediction in a short period (multiple days in the future) and the compilation of a short-period energy-saving scheduling plan are realized, when a certain level of scheduling mode is upgraded from the original regional scheduling to a provincial scheduling mechanism, the change of scheduling responsibility can be adapted, the development of corresponding scheduling services is facilitated, the level of power grid scheduling management is improved, the user experience degree is good, and the satisfaction degree is high.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention, and it is therefore to be understood that the invention is not limited by the scope of the appended claims.

Claims (10)

1. An energy-saving power generation scheduling support system characterized by comprising:
the basic parameter management module is used for managing all basic parameters for energy-saving scheduling planning;
the static security check module is used for setting and managing security check related parameters, and performing security check and result display on various plans;
the bus load forecasting module is used for forecasting the load requirements of different buses in each time period;
the short-term system load prediction module is used for acquiring the change rule of the system load along with various factors according to the historical data, meteorological data and holiday data of the power grid load, establishing a first prediction model, and predicting the system load of multiple days in the future by using the first prediction model;
the short-term bus load prediction module is used for acquiring the change rule of the bus load along with various factors according to the historical data, meteorological data and holiday data of the bus load, establishing a second prediction model, and predicting the bus load of multiple days in the future by using the second prediction model;
the day-ahead planning module is used for preparing data and a scheme for planning, and calling corresponding planning calculation service according to the prepared data and the scheme to realize the specific planning of the plan;
and the information inquiry and release module is used for inquiring, printing, exporting and downloading various project plans finally formed by the system.
2. The energy-saving power generation scheduling support system according to claim 1, characterized by further comprising:
the evaluation and analysis module after execution is used for analyzing each index in the plan execution process;
and the system management module is used for providing a uniform system management environment for the whole system and providing a uniform client authority access management function.
3. The energy-saving power generation scheduling support system according to claim 1, wherein the basic parameter management module includes:
the basic data management submodule is used for managing various static data;
the operation data management submodule is used for managing various dynamic data;
the static data includes at least: the method comprises the following steps of (1) power grid information, basic attributes of a power generation group or a power plant, geographic position attributes and attribution relations, and registration parameters of each unit of the power plant;
the dynamic data includes at least: the system comprises unit sequencing information, primary energy information, power generation consumption, emission and heat supply information, a power generation and transmission equipment overhaul and commissioning operation plan, a power purchase/sale plan, a standby plan, a tie line plan, monitoring elements, a unit fixed output plan, subarea standby management and meteorological data.
4. The energy-saving power generation scheduling support system according to claim 1, wherein the static safety verification module includes:
the safety check calculation control submodule is used for setting and managing safety check related parameters;
the static safety check submodule is used for supporting manual selection of various plans which are not checked at present or interface selection of external plan files, realizing safety check of the plans according to the set current control parameters, and has the functions of progress of the safety check process and graphical monitoring of results of corresponding stages;
and the static security check display submodule is used for displaying the static security check result.
5. The energy-saving power generation scheduling support system according to claim 4, wherein the static security check display submodule supports a display mode including at least: tables, curves, graphs;
the supported display perspectives include at least: station diagrams, tidal current diagrams, geographical wiring diagrams;
the supported display means at least comprise: and displaying the trend section in a single time interval, and displaying the trend in a rolling way in multiple time intervals.
6. The energy-saving power generation scheduling support system according to claim 1, wherein the day-ahead planning module includes:
the data preparation submodule is used for preparing basic data, constraint condition options, optimization targets and corresponding algorithm options for planning and managing different planning schemes formed by different selections;
and the planning sub-module is used for calling corresponding planning computing service according to the prepared data and scheme so as to realize the specific planning of the plan.
7. The energy-saving power generation scheduling support system according to claim 6, wherein the planning sub-module includes:
the initial plan compiling submodule is used for calculating the total power generation load of the regulating and managing units according to the obtained load prediction, the tie line plan, the hydropower plan, the fixed output plan and the like and according to the power balance relation, decomposing the output of the regulating and managing units in 96 time intervals, and realizing the initial power generation plan compiling;
the safety constraint power generation plan compiling submodule is used for calculating an optimal power generation plan meeting various constraints according to a set optimization target and in consideration of various set constraint conditions;
the practical correction submodule is used for correcting the plans in the same power plant so as to ensure that the output of the whole power plant is unchanged in each period after correction and balance distribution among the power plants is not carried out;
and the safety checking submodule is used for carrying out safety checking and displaying on the planning process.
8. The energy-saving power generation scheduling support system according to claim 2, wherein the system management module includes:
the planning process control and management submodule is used for realizing the flow control and management of the planning process according to the process requirement of specific planning;
the system parameter setting and managing submodule is used for setting and managing system parameters;
the resource monitoring submodule is used for analyzing and counting the system performance, monitoring the equipment state and monitoring and controlling all planned processes;
the safety management submodule is used for managing system authority setting and user login;
and the system log submodule is used for carrying out trace management on important operation behaviors of the system.
9. The energy-saving power generation scheduling support system according to claim 1, wherein the short-term system load prediction module predicts the system load for a plurality of days in the future by a method including at least:
time series methods, artificial neuron network methods, and similar day methods.
10. The energy-saving power generation scheduling support system according to claim 1, wherein the short-term bus load prediction module predicts bus loads for a plurality of days in the future by at least:
a proportional distribution method, a time series method, an artificial neuron network method, and a similar daily method.
CN202010920214.6A 2020-09-04 2020-09-04 Energy-saving power generation dispatching support system Pending CN112149965A (en)

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CN112994001A (en) * 2021-04-26 2021-06-18 南昌五钜信息科技有限公司 Power equipment control system based on energy internet platform
CN113642792A (en) * 2021-08-12 2021-11-12 中国南方电网有限责任公司 Medium-and-long-term unit combination accurate modeling technical method comprehensively considering complex large power grid operation constraint conditions
CN113746088A (en) * 2021-10-08 2021-12-03 重庆金专新晟科技有限公司 Power grid overall balance analysis system based on data lake

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CN108898246A (en) * 2018-06-19 2018-11-27 深圳供电局有限公司 A kind of load prediction management system based on electric system
CN111105081A (en) * 2019-12-04 2020-05-05 深圳供电局有限公司 Energy-saving power generation scheduling technology support method, device and equipment based on spot market

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CN101630840A (en) * 2009-08-12 2010-01-20 电子科技大学 Intelligent control system for microgrid energy
CN104933516A (en) * 2015-05-27 2015-09-23 华南理工大学 Multi-time-scale power system robustness scheduling system design method
CN108898246A (en) * 2018-06-19 2018-11-27 深圳供电局有限公司 A kind of load prediction management system based on electric system
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112994001A (en) * 2021-04-26 2021-06-18 南昌五钜信息科技有限公司 Power equipment control system based on energy internet platform
CN113642792A (en) * 2021-08-12 2021-11-12 中国南方电网有限责任公司 Medium-and-long-term unit combination accurate modeling technical method comprehensively considering complex large power grid operation constraint conditions
CN113746088A (en) * 2021-10-08 2021-12-03 重庆金专新晟科技有限公司 Power grid overall balance analysis system based on data lake

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