CN102867239A - Low-carbon dispatching module for intelligent operation control system of regional power generation company - Google Patents
Low-carbon dispatching module for intelligent operation control system of regional power generation company Download PDFInfo
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- CN102867239A CN102867239A CN2012103347753A CN201210334775A CN102867239A CN 102867239 A CN102867239 A CN 102867239A CN 2012103347753 A CN2012103347753 A CN 2012103347753A CN 201210334775 A CN201210334775 A CN 201210334775A CN 102867239 A CN102867239 A CN 102867239A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention relates to a low-carbon dispatching module for an intelligent operation control system of a regional power generation company. The low-carbon dispatching module for the intelligent regional power generation company operation control system is characterized in that the low-carbon dispatching module comprises a power market analysis module, a marketing management module, a bidding network module and a direct power purchase module for big users; the power market analysis module is divided into a power demand unit, a power supply unit, a dispatching unit and a synchronous analysis unit; the marketing management module is divided into an electricity and heat quantity management unit, an electricity and heat price management unit and an electricity and heat charge management unit; the bidding network module is divided into an assistant bidding decision-making unit, a quotation management unit and a market quotation unit; and the direct power purchase module for big users is divided into a big user contract management and settlement part and a direct power supply information part. The low-carbon dispatching module has the beneficial effects that the low-carbon dispatching module can carry out energy-saving automatic power generation dispatching and create the highest benefit for the society and enterprises; and the low-carbon dispatching module can be used for finding the position of a company in the market and the reason of difference, judging the relative competitiveness of the company and putting forward a management measure for improvement.
Description
(1) technical field
The present invention relates to a kind of composition module of regional generation company operation intelligence managing and control system, particularly a kind of low-carbon (LC) scheduler module for regional generation company operation intelligence managing and control system.
(2) background technology
Follow the foundation of group company's zone management and control pattern, the management and control effect of regional company highlights day by day.For the mating area production and operating activities provide modernized management and control means, current urgent need makes up the information-based monitor supervision platform that every Production﹠Operations Management such as a full management of Jian, technical management, administration of energy conservation, environmental protection management, the marketing, fuel management are integrated, thus the feasible region centralized management." regional generation company operation intelligence managing and control system " is exactly the software systems of developing for satisfying this demand.For carrying out the marketing, be used for Regional Electric Market is analyzed to satisfy, divide power distributing amount to unit by coal consumption height, benefit size Automatic Optimal, improve marketing management and control level, realize the needs of greatest benefit, hereby invented a kind of low-carbon (LC) scheduler module for regional generation company operation intelligence managing and control system.
(3) summary of the invention
The present invention provides the low-carbon (LC) scheduler module that is used for regional generation company operation intelligence managing and control system that a kind of system is complete, efficient is high, powerful in order to remedy the deficiencies in the prior art.
The present invention is achieved through the following technical solutions:
A kind of low-carbon (LC) scheduler module for regional generation company operation intelligence managing and control system, it is characterized in that: comprise Electricity market analysis module, marketing management module, the module of surfing the Net at a competitive price and Direct Purchase of Electric Energy by Large Users module, described Electricity market analysis module is divided into power generation needs, generating supply, dispatching distribution and four unit of Synchronization Analysis; The marketing management module is divided into electric heating measuring management, the management of electric heating valency, three unit of electric heating expense management, the module of surfing the Net at a competitive price is divided into the aid decision making of surfing the Net at a competitive price, bidding management, three unit of market conditions, and large user's direct power supply module is divided into large user's contract management and clearing, direct power supply information two parts.
Described power generation needs unit is by assay the whole network conditions of demand, comprise that electric network composition, network load equilibrium condition, security constraint, electrical network maximum load, minimum load, average load, peak-valley difference, deferrable load and rate of load condensate, consumption structure form and the electric weight plan of needs, grasp the electrical network conditions of demand.
Described generating feed unit is grasped generating supply capacity situation and each several part structure situation by analyzing Generation Side electric weight turnover structure, each genco's installed capacity, electricity price, coal consumption and unit output situation; By to electrical network supply and demand and generating supply comparative analysis, diagnose each unit generation ability of branch office, electrical network demand space size, electrical network how much to remain the generating space, share, ratio, importance and the dynamic status change of judgement branch office in market.
Described dispatching distribution unit is according to seasonal need for electricity Variation Features and the curve that generated electricity the day before yesterday, set up the mathematical model of system, prediction day, month, year electric weight conditions of demand, in conjunction with turnaround plan and power constraint, be optimized distribution according to unit coal consumption height with to company's contributrion margin degree size sequence, output coal consumption sequence and generating contributrion margin degree sequence voltameter are drawn allocative decision, and coordinate the relevant departments such as government, electrical network, assign the electric weight plan or carry out load scheduling according to this scheme.
Between coal consumption before and after each set optimization of described Synchronization Analysis element analysis, contribution degree difference, each genco integrating ampere hour meter draw completion rate, utilize hour, the difference of checking energy, pass judgment on unit generation market share ability, affect the generated energy link, market is moved towards, for the formulation of marketing strategy provides technical support.
The invention has the beneficial effects as follows: can realize the energy-saving power generation Automatic dispatching, be society and enterprise's creation greatest benefit; The company that can find out position and reason of discrepancies in market are passed judgment on its relative competitiveness, propose improved management act.
(4) embodiment
This embodiment utilizes automatic analysis, the management that realizes electricity market information of computer software, realized by four module, comprise Electricity market analysis module, marketing management module, the module of surfing the Net at a competitive price and Direct Purchase of Electric Energy by Large Users module, the Electricity market analysis module is divided into power generation needs, generating supply, dispatching distribution and four unit of Synchronization Analysis; The marketing management module is divided into electric heating measuring management, the management of electric heating valency, three unit of electric heating expense management, the module of surfing the Net at a competitive price is divided into the aid decision making of surfing the Net at a competitive price, bidding management, three unit of market conditions, and large user's direct power supply module is divided into large user's contract management and clearing, direct power supply information two parts.
The Electricity market analysis module is divided into power generation needs, generating supply, dispatching distribution and four unit of Synchronization Analysis.Display area electrical network need for electricity situation, analyze each genco's market share situation and unit generation ability, predict electrical network electric weight plan of needs and carry out electric weight optimization distribution, unit index of correlation and the main electricity market indicator difference of each electricity power group before and after Synchronization Analysis is optimized according to coal consumption and to company's contribution degree.It thes contents are as follows:
1. power generation needs
By analyzing the essential informations such as electric network composition, network load equilibrium condition, security constraint, electrical network maximum load, minimum load, average load, peak-valley difference, deferrable load and rate of load condensate, consumption structure composition and electric weight plan of needs, grasp the electrical network conditions of demand.
2. generating is supplied with
(dispatch from foreign news agency enters Shandong and unit inside the province by analyzing Generation Side electric weight turnover structure; Inside the province in the unit tracking public, local, provide for oneself, wind-powered electricity generation accounting example situation), each genco's installed capacity, electricity price, coal consumption and unit output situation (operation, for subsequent use, fall and exert oneself, face and repair), grasp generating supply capacity situation and each several part structure situation.
By to electrical network supply and demand and the supply comparative analysis of generating electricity, diagnose each unit generation ability of branch office and electrical network demand balance, electrical network how much to remain the generating space, share, ratio, importance and the dynamic status change of judgement branch office in market.
3. dispatching distribution
According to seasonal need for electricity Variation Features and the curve that generated electricity the day before yesterday, set up the mathematical model of system, prediction day, month, year electric weight plan situation, in conjunction with border conditions such as turnaround plan, power constraints, be optimized distribution according to unit coal consumption height with to company's contributrion margin degree size sequence, output coal consumption sequence and generating contributrion margin degree sequence voltameter are drawn allocative decision, and coordinate the relevant departments such as government, electrical network, assign the electric weight plan or carry out load scheduling according to this scheme.
4. Synchronization Analysis
Analyze that integrating ampere hour meter between coal consumption before and after each set optimization, contribution degree difference, each genco is drawn completion rate, utilized hour, the difference of checking energy, pass judgment on unit generation market share ability, affect the generated energy link, market is moved towards, for the formulation of marketing strategy provides technical support.
The marketing management module section is divided into electric heating measuring management, the management of electric heating valency, three unit of electric heating expense management, the part of surfing the Net at a competitive price is divided into the aid decision making of surfing the Net at a competitive price, bidding management, three unit of market conditions, and large user's direct power supply partly is divided into the unit such as large user's contract management and clearing, direct power supply information.
Adopt the low-carbon (LC) scheduler module for regional generation company operation intelligence managing and control system of the present invention, its constructing technology route is:
(1) load prediction mainly utilizes electricity needs seasonality, periodicity characteristics, adopt historical data to excavate and numerical analysis method, in conjunction with historical data and trend analyses such as GDP, electricity market elasticity coefficient and needs for electricity, next year year, a month power consumption demand are predicted to electrical network.
(2) consider the border conditions such as unit is adjustablely exerted oneself, economic performance, turnaround plan, power constraint, maximum load, minimum load.
(3) by above-mentioned multiple goal multiple constraint kinematic nonlinearity planing method is found the solution, and carry out electric weight optimization according to company's unit coal consumption size, contributrion margin degree size sequence and distribute, the result is outputed to Excel.
(4) Excel Output of for ms data.The optimized allocation that mainly comprises unit commitment load, prediction electric weight.
Claims (5)
1. low-carbon (LC) scheduler module that is used for regional generation company operation intelligence managing and control system, it is characterized in that: comprise Electricity market analysis module, marketing management module, the module of surfing the Net at a competitive price and Direct Purchase of Electric Energy by Large Users module, described Electricity market analysis module is divided into power generation needs, generating supply, dispatching distribution and four unit of Synchronization Analysis; The marketing management module is divided into electric heating measuring management, the management of electric heating valency, three unit of electric heating expense management, the module of surfing the Net at a competitive price is divided into the aid decision making of surfing the Net at a competitive price, bidding management, three unit of market conditions, and large user's direct power supply module is divided into large user's contract management and clearing, direct power supply information two parts.
2. the low-carbon (LC) scheduler module for regional generation company operation intelligence managing and control system according to claim 1, it is characterized in that: described power generation needs unit is by assay the whole network conditions of demand, comprise that electric network composition, network load equilibrium condition, security constraint, electrical network maximum load, minimum load, average load, peak-valley difference, deferrable load and rate of load condensate, consumption structure form and the electric weight plan of needs, grasp the electrical network conditions of demand.
3. the low-carbon (LC) scheduler module for regional generation company operation intelligence managing and control system according to claim 1, it is characterized in that: described generating feed unit is grasped generating supply capacity situation and each several part structure situation by analyzing Generation Side electric weight turnover structure, each genco's installed capacity, electricity price, coal consumption and unit output situation; By to electrical network supply and demand and generating supply comparative analysis, diagnose each unit generation ability of branch office, electrical network demand space size, electrical network how much to remain the generating space, share, ratio, importance and the dynamic status change of judgement branch office in market.
4. the low-carbon (LC) scheduler module for regional generation company operation intelligence managing and control system according to claim 1, it is characterized in that: described dispatching distribution unit is according to seasonal need for electricity Variation Features and the curve that generated electricity the day before yesterday, set up the mathematical model of system, prediction day, month, year electric weight conditions of demand, in conjunction with turnaround plan and power constraint, be optimized distribution according to unit coal consumption height with to company's contributrion margin degree size sequence, output coal consumption sequence and generating contributrion margin degree sequence voltameter are drawn allocative decision, and coordination government, the relevant departments such as electrical network assign the electric weight plan or carry out load scheduling according to this scheme.
5. the low-carbon (LC) scheduler module for regional generation company operation intelligence managing and control system according to claim 1, it is characterized in that: between coal consumption before and after each set optimization of described Synchronization Analysis element analysis, contribution degree difference, each genco integrating ampere hour meter draw completion rate, utilize hour, the difference of checking energy, pass judgment on unit generation market share ability, affect the generated energy link, market is moved towards, for the formulation of marketing strategy provides technical support.
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Cited By (7)
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| CN103632045A (en) * | 2013-11-19 | 2014-03-12 | 中国南方电网有限责任公司 | Computing method for assessing provincial-level power grid power generation dispatching ideality |
| CN103903193A (en) * | 2014-03-31 | 2014-07-02 | 陕西省地方电力（集团）有限公司 | Power supporting system and method |
| CN105678416A (en) * | 2016-01-05 | 2016-06-15 | 中国电力科学研究院 | Intelligent decision system for constructing and reconstructing power distribution area |
| CN106447403A (en) * | 2016-10-17 | 2017-02-22 | 国网重庆市电力公司电力科学研究院 | User priority classification method in large-user direct power purchase environment |
| CN109726875A (en) * | 2019-03-08 | 2019-05-07 | 华北电力大学 | A kind of power scheduling prediction technique based on three public scheduling and economic load dispatching |
| CN111651461A (en) * | 2020-06-17 | 2020-09-11 | 深圳库博能源科技有限公司 | Energy storage operation monitoring method and system based on machine learning |
| CN115169753A (en) * | 2022-09-07 | 2022-10-11 | 东方电子股份有限公司 | Comprehensive energy management system based on block chain |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103632045A (en) * | 2013-11-19 | 2014-03-12 | 中国南方电网有限责任公司 | Computing method for assessing provincial-level power grid power generation dispatching ideality |
| CN103632045B (en) * | 2013-11-19 | 2017-07-07 | 中国南方电网有限责任公司 | A kind of computational methods for assessing provincial power network power generation dispatching ideality |
| CN103903193A (en) * | 2014-03-31 | 2014-07-02 | 陕西省地方电力（集团）有限公司 | Power supporting system and method |
| CN105678416A (en) * | 2016-01-05 | 2016-06-15 | 中国电力科学研究院 | Intelligent decision system for constructing and reconstructing power distribution area |
| CN106447403A (en) * | 2016-10-17 | 2017-02-22 | 国网重庆市电力公司电力科学研究院 | User priority classification method in large-user direct power purchase environment |
| CN109726875A (en) * | 2019-03-08 | 2019-05-07 | 华北电力大学 | A kind of power scheduling prediction technique based on three public scheduling and economic load dispatching |
| CN111651461A (en) * | 2020-06-17 | 2020-09-11 | 深圳库博能源科技有限公司 | Energy storage operation monitoring method and system based on machine learning |
| CN111651461B (en) * | 2020-06-17 | 2020-12-18 | 深圳库博能源科技有限公司 | Energy storage operation monitoring method and system based on machine learning |
| CN115169753A (en) * | 2022-09-07 | 2022-10-11 | 东方电子股份有限公司 | Comprehensive energy management system based on block chain |
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Application publication date: 20130109 |