CN105896524A - Carbon-emission-analysis-combination-based diversified load control method - Google Patents
Carbon-emission-analysis-combination-based diversified load control method Download PDFInfo
- Publication number
- CN105896524A CN105896524A CN201610159299.4A CN201610159299A CN105896524A CN 105896524 A CN105896524 A CN 105896524A CN 201610159299 A CN201610159299 A CN 201610159299A CN 105896524 A CN105896524 A CN 105896524A
- Authority
- CN
- China
- Prior art keywords
- load
- carbon
- carbon emission
- node
- power
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention relates to a carbon-emission-analysis-combination-based diversified load control method. The method comprises: according to a result of comparison between current load node carbon emission intensity data obtained by calculation and threshold data, difference controlling is carried out on loads with different types; when the current load node carbon emission intensity data obtained by calculation are higher than the threshold data, power supply of a current node system is determined to be in a high carbon power mode and thus a control goal of minimizing power usage by a current node load is set; and when the current load node carbon emission intensity data obtained by calculation are lower than the threshold data, power supplying of the current node system is determined to be in a low carbon power mode, and thus a control goal of increasing power usage by the current node load is set. According to the invention, the carbon emission calculation result is associated with the load control; and controllable characteristics of loads with different types are taken into consideration fully. Therefore, the power consumption way can be adjusted reasonably according to the carbon emission situation of the power grid and thus an objective of carbon emission reduction of the power grid can be achieved.
Description
Technical field
The present invention relates to the multiformity duty control method that a kind of combination carbon emission is analyzed, belong to energy-conserving and emission-cutting technology field.
Background technology
Along with going from bad to worse of industrial expansion and environment, energy-saving and emission-reduction are increasingly becoming the emphasis of concern, wherein realize the low carbonization of electrical network and control and run to be the effective means of energy-saving and emission-reduction.Currently for containing distributed power source network optimization control technical research with application more, its principal concern be new forms of energy dissolve and electrical network fall damage, not with carbon emission direct correlation.In recent years, with carbon emission flow theory as foundation, the carbon intensity of any circuit and node can be calculated in real time based on electric network swim, provide foundation for effectively implementing the operation of electrical network low-carbon (LC) with control.
Summary of the invention
It is an object of the invention to, run to preferably implement electrical network low-carbon (LC), the present invention proposes the multiformity duty control method that a kind of combination carbon emission is analyzed.
Realization the technical scheme is that,
The multiformity duty control method that a kind of combination carbon emission is analyzed, different types of load, according to calculating the current loads node carbon intensity data and threshold data comparing result obtained, is implemented differentiation and is controlled by described method;When calculating the current loads node carbon intensity data obtained higher than threshold data, it is judged that present node system power supply is high-carbon electricity, with the electricity consumption less of present node load for controlling purpose;When calculating the current loads node carbon intensity data obtained less than threshold data, it is judged that present node system power supply is low-carbon (LC) electricity, try one's best Multifunctional electric for controlling purpose with present node load.
Described different types of load, can be divided into conventional interruptible load and the two-way controllable resources of Demand-side by load, and wherein Demand-side generation assets includes distributed power source, microgrid, energy storage, electric automobile.
The described current loads node carbon intensity data obtained that calculate calculate once per hour with threshold data, and threshold data is set as the average carbon intensity of load region.
Described current loads node carbon intensity, uses conventional carbon emission flow theory to calculate.
The average carbon intensity of described load region, whole load region is considered as a node, average carbon intensity eq=(the Ro+Ri+Rs)/Pt in region, wherein Ro is the power supply carbon emission accumulated value outside region, Ri is the power supply carbon emission accumulated value in region, Rs is the carbon emission accumulated value that under current power structure, in region, line loss produces, and Pt is the power load in region.
Described is that the measure controlling purpose is with the as far as possible less electricity consumption of present node load: containing conventional interruptible load in described present node load, the load that will interrupt on the premise of not affecting normal electricity consumption excision;Containing the two-way controllable resources of Demand-side in current loads, distributed power source is control target to the maximum with output, microgrid is with also site power minimum control target, energy-storage system is according to SOC(dump energy) state employing invariable power control of discharge pattern, electric automobile does not charges or changes fast mold filling formula into trickle charge.
Described with present node load try one's best Multifunctional electric be control purpose measure be: keep conventional load properly functioning, containing the two-way controllable resources of Demand-side in current loads, distributed power source loss minimization is for controlling target, microgrid is with also site power swing rate minimum control target, energy-storage system uses invariable power charging control model according to SOC state, and electric automobile preferentially uses high-power fast mold filling formula.
Advantageous Effects of the present invention is, the present invention, with one hour as time interval, calculates acquisition current loads node carbon intensity data and compares with threshold data, during higher than threshold data, judge that present node system power supply is high-carbon electricity, with the electricity consumption less of present node load for controlling purpose;During less than threshold data, it is judged that present node system power supply is low-carbon (LC) electricity, try one's best Multifunctional electric for controlling purpose with present node load.Carbon emission result of calculation is associated by the present invention with spatial load forecasting, has taken into full account the controllable characteristics of dissimilar load, contributes to, according to electrical network carbon emission situation Reasonable adjustment power mode, reaching the purpose of electrical network carbon emission reduction.
Accompanying drawing explanation
Fig. 1 is regional power grid frame diagram.
Detailed description of the invention
The detailed description of the invention of the present invention is as follows.
Fig. 1 show regional power grid frame diagram, and in regional power grid, power supply aspect includes the power supply of outside input, and also distributed power source, such as photovoltaic plant, wind power station etc.;In terms of load, including conventional load, microgrid, electric automobile charging pile and energy-storage system etc..
The present embodiment, with one hour as time interval, calculates acquisition current loads node carbon intensity data and compares with threshold data.
During higher than threshold data, judge that present node system power supply is high-carbon electricity, with the electricity consumption less of present node load for controlling purpose, containing conventional interruptible load in current loads, the load excision will interrupted on the premise of not affecting normal electricity consumption, containing the two-way controllable resources of Demand-side in current loads, distributed power source is control target to the maximum with output, microgrid is with also site power minimum control target, energy-storage system is according to SOC(dump energy) state employing invariable power control of discharge pattern, electric automobile does not charges or changes fast mold filling formula into trickle charge.
During less than threshold data, judge that present node system power supply is low-carbon (LC) electricity, try one's best Multifunctional electric for controlling purpose with present node load, keep conventional load properly functioning, containing the two-way controllable resources of Demand-side in current loads, distributed power source loss minimization is for controlling target, and microgrid is with also site power swing rate minimum control target, energy-storage system is according to SOC(dump energy) state employing invariable power charging control model, electric automobile preferentially uses high-power fast mold filling formula.
Current loads node carbon intensity is used by the present embodiment conventional carbon emission flow theory calculate, the average carbon intensity of load region, whole load region is considered as a node calculate, average carbon intensity eq=(the Ro+Ri+Rs)/Pt in region, wherein Ro is the power supply carbon emission accumulated value outside region, Ri is the power supply carbon emission accumulated value in region, Rs is the carbon emission accumulated value that under current power structure, in region, line loss produces, and Pt is the power load in region.
Claims (7)
1. one kind combines the multiformity duty control method that carbon emission is analyzed, it is characterised in that different types of load, according to calculating the current loads node carbon intensity data and threshold data comparing result obtained, is implemented differentiation and controlled by described method;
When calculating the current loads node carbon intensity data obtained higher than threshold data, it is judged that present node system power supply is high-carbon electricity, with the electricity consumption less of present node load for controlling purpose;
When calculating the current loads node carbon intensity data obtained less than threshold data, it is judged that present node system power supply is low-carbon (LC) electricity, try one's best Multifunctional electric for controlling purpose with present node load.
Combine the multiformity duty control method that carbon emission is analyzed the most according to claim 1, it is characterized in that, the described current loads node carbon intensity data obtained that calculate calculate once per hour with threshold data, and threshold data is set as the average carbon intensity of load region.
Combine the multiformity duty control method that carbon emission is analyzed the most according to claim 1, it is characterized in that, described different types of load, load can be divided into conventional interruptible load and the two-way controllable resources of Demand-side, and wherein Demand-side generation assets includes distributed power source, microgrid, energy storage, electric automobile.
Combine the multiformity duty control method that carbon emission is analyzed the most according to claim 1, it is characterized in that, described is that the measure controlling purpose is with the as far as possible less electricity consumption of present node load: containing conventional interruptible load in described present node load, the load that will interrupt on the premise of not affecting normal electricity consumption excision;Containing the two-way controllable resources of Demand-side in current loads, distributed power source is control target to the maximum with output, microgrid is with also site power minimum control target, energy-storage system is according to SOC(dump energy) state employing invariable power control of discharge pattern, electric automobile does not charges or changes fast mold filling formula into trickle charge.
Combine the multiformity duty control method that carbon emission is analyzed the most according to claim 1, it is characterized in that, described with present node load try one's best Multifunctional electric be control purpose measure be: keep conventional load properly functioning, containing the two-way controllable resources of Demand-side in current loads, distributed power source loss minimization is for controlling target, microgrid is with also site power swing rate minimum control target, energy-storage system uses invariable power charging control model according to SOC state, and electric automobile preferentially uses high-power fast mold filling formula.
Combine the multiformity duty control method that carbon emission is analyzed the most according to claim 2, it is characterised in that described current loads node carbon intensity, use conventional carbon emission flow theory to calculate.
Combine the multiformity duty control method that carbon emission is analyzed the most according to claim 2, it is characterized in that, the average carbon intensity of described load region, whole load region is considered as a node, average carbon intensity eq=(the Ro+Ri+Rs)/Pt in region, wherein Ro is the power supply carbon emission accumulated value outside region, Ri is the power supply carbon emission accumulated value in region, Rs is the carbon emission accumulated value that under current power structure, in region, line loss produces, and Pt is the power load in region.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610159299.4A CN105896524A (en) | 2016-03-21 | 2016-03-21 | Carbon-emission-analysis-combination-based diversified load control method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610159299.4A CN105896524A (en) | 2016-03-21 | 2016-03-21 | Carbon-emission-analysis-combination-based diversified load control method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN105896524A true CN105896524A (en) | 2016-08-24 |
Family
ID=57013836
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610159299.4A Pending CN105896524A (en) | 2016-03-21 | 2016-03-21 | Carbon-emission-analysis-combination-based diversified load control method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105896524A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115015474A (en) * | 2022-04-15 | 2022-09-06 | 广东电网有限责任公司 | Method and device for detecting carbon emission of power consumer |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110071695A1 (en) * | 2009-09-15 | 2011-03-24 | Denis Kouroussis | Smart-grid adaptive power management method and system with power factor optimization and total harmonic distortion reduction |
CN102971930A (en) * | 2010-07-09 | 2013-03-13 | 索尼公司 | Power control device and power control method |
CN103544656A (en) * | 2013-10-24 | 2014-01-29 | 清华大学 | Active power distribution network operational control method based on minimum carbon emission |
-
2016
- 2016-03-21 CN CN201610159299.4A patent/CN105896524A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110071695A1 (en) * | 2009-09-15 | 2011-03-24 | Denis Kouroussis | Smart-grid adaptive power management method and system with power factor optimization and total harmonic distortion reduction |
CN102971930A (en) * | 2010-07-09 | 2013-03-13 | 索尼公司 | Power control device and power control method |
CN103544656A (en) * | 2013-10-24 | 2014-01-29 | 清华大学 | Active power distribution network operational control method based on minimum carbon emission |
Non-Patent Citations (1)
Title |
---|
左士伟: "碳排放约束下考虑静态电压稳定的发电权交易优化", 《中国优秀硕士学位论文全文数据库》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115015474A (en) * | 2022-04-15 | 2022-09-06 | 广东电网有限责任公司 | Method and device for detecting carbon emission of power consumer |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US11431278B2 (en) | Systems and methods for energy storage and power distribution | |
JP5625005B2 (en) | Stand-alone power supply system | |
CN204089688U (en) | A kind of independent photovoltaic generating railway power supply control system | |
CN104810842B (en) | Independent micro-capacitance sensor hierarchical coordinative control method based on different time scales | |
CN202495774U (en) | Countercurrent prevention system | |
JP5520365B2 (en) | System stabilization system, power supply system, centralized management device control method, and centralized management device program | |
CN104682536A (en) | Charging control method for energy-storage charging station | |
JP2014042452A (en) | Control device and control method | |
CN102931662B (en) | Distributive load dynamic regulation-based microgrid monitoring system and control method | |
Wang et al. | Dispatching of a wind farm incorporated with dual-battery energy storage system using model predictive control | |
JP2013099156A (en) | Control system, control apparatus and control method | |
CN107492910B (en) | Self-adaptive control and main power supply switching method for off-grid micro-grid containing diesel storage | |
CN101728582B (en) | Battery disposal device and method | |
Xiao et al. | Flat tie-line power scheduling control of grid-connected hybrid microgrids | |
AU2016357764B2 (en) | Received power control device and received power control method | |
CN104868534B (en) | Photovoltaic energy storage inverter energy management method | |
Bhattacharjee et al. | An efficient ramp rate and state of charge control for PV-battery system capacity firming | |
CN115173466A (en) | Photovoltaic-charging pile-building integrated alternating current-direct current microgrid system and control method | |
CN204988346U (en) | Greenhouse environmental monitoring system based on solar energy power supply | |
CN105896524A (en) | Carbon-emission-analysis-combination-based diversified load control method | |
WO2011075062A1 (en) | Power supply system for radio base station | |
CN103199747A (en) | Method for using battery energy storage system to smooth power of photovoltaic power generation system | |
CN103208838B (en) | Power supply control method and device | |
CN107645172B (en) | Control method and device for DC/DC converter of energy storage device of distributed power generation system | |
CN103683271A (en) | Power supply circuit and control method thereof |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20160824 |