CN112653137A - Photothermal power station and wind power system considering carbon transaction, and low-carbon scheduling method and system - Google Patents

Photothermal power station and wind power system considering carbon transaction, and low-carbon scheduling method and system Download PDF

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CN112653137A
CN112653137A CN202011471272.1A CN202011471272A CN112653137A CN 112653137 A CN112653137 A CN 112653137A CN 202011471272 A CN202011471272 A CN 202011471272A CN 112653137 A CN112653137 A CN 112653137A
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power
carbon
cost
thermal power
thermal
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崔杨
邓贵波
唐耀华
仲悟之
宋丹
赵钰婷
郝涛
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China Electric Power Research Institute Co Ltd CEPRI
Northeast Electric Power University
Rundian Energy Science and Technology Co Ltd
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China Electric Power Research Institute Co Ltd CEPRI
Northeast Dianli University
Rundian Energy Science and Technology Co Ltd
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    • 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
    • H02J3/007—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
    • H02J3/0075—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • 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
    • H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
    • 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
    • H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
    • 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
    • H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • 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
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • 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
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • 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
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • 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
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/22—The renewable source being solar 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
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/28—The renewable source being wind 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
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/40—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
    • 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/76—Power conversion electric or electronic aspects
    • 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00—Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin

Abstract

The invention relates to a photo-thermal power station and a wind power system considering carbon transaction, and a low-carbon economic dispatching method and system based on the system, wherein the photo-thermal power station shares the spare capacity borne by a thermal power unit by wind power, thermal power and photo-thermal combined operation, so that the carbon emission can be reduced and the wind power consumption can be promoted; the electric heat conversion link, the photothermal power station and the thermal power unit provide a rotary standby for the system, so that the output of the traditional thermal power unit can be effectively reduced, the carbon emission is reduced, the consumption level of wind power is effectively improved, and the running economy is guaranteed. In the low-carbon economic dispatching method and system, a low-carbon dispatching model is constructed by taking the optimal comprehensive cost of the power system as a target function and combining constraint conditions of all unit elements; and a low-carbon scheduling scheme is obtained based on the low-carbon scheduling model, so that the low-carbon operation of the power system is facilitated.

Description

Photothermal power station and wind power system considering carbon transaction, and low-carbon scheduling method and system
Technical Field
The invention relates to the technical field of low-carbon scheduling of power systems, in particular to a light and heat power station and a wind power system considering carbon transaction, and a low-carbon scheduling method and system of the light and heat power station and the wind power system based on the carbon transaction.
Background
In recent years, the problem of environmental pollution caused by carbon emission is becoming more serious, and the promotion of low carbon development has become a global consensus. In the face of severe ecological protection situation and increasing green energy demand, China already puts forward strategic targets that carbon emission reaches the peak and the carbon emission intensity is reduced by 60% -65% in 2030 years.
The implementation approach of the low carbon of the power system can be summarized into two aspects: in the technical aspect, new energy technologies such as wind power, photo-thermal and the like are widely adopted; policy aspects, introduction of carbon trading, robust marketing mechanisms, etc. The low-carbon economic operation of the system can be realized through the coordination of the two aspects.
The existing research analyzes the effects of low-carbon technologies such as photo-thermal technology and the like and carbon transaction mechanisms on the aspects of inhibiting carbon emission and promoting new energy consumption, has certain theoretical and practical values, and still has the problems of further research and discussion: 1) from the interior of the photo-thermal power station, the analysis on how the combined operation of an electric-thermal conversion link and a heat storage device influences carbon emission, air volume abandonment and operation cost is not enough; 2) the low-carbon potential is excavated from the interior of the power supply, and the electric-heat conversion link and the photo-thermal power station share the rotation of the thermal power generating unit for standby, so that how to reduce the effect of carbon emission and how to influence the overall cost of the system need to be further researched; 3) the fresh research considers that a reasonable low-carbon policy is supplemented when wind power, thermal power and photo-thermal combined operation is carried out, so that the carbon emission of the power system is further reduced, and the consumption level of the wind power and the photo-thermal is improved.
In summary, the invention provides a photo-thermal power station and a wind power system considering carbon transaction, and a low-carbon economic dispatching method and system based on the system.
Disclosure of Invention
The invention aims to provide a photothermal power station and a wind power system considering carbon transaction, and a low-carbon economic dispatching method and system based on the system, wherein in the aspect of low-carbon technology, wind power, thermal power and photothermal combined operation are adopted, and the photothermal power station shares the spare capacity borne by a thermal power unit, so that carbon emission can be reduced and wind power consumption is promoted; in the aspect of a low-carbon policy, the potential of emission reduction of the thermal power generating unit is excavated by utilizing a carbon trading mechanism, and CO reduction is realized2A target for emissions; therefore, the invention combines the low-carbon technology and the low-carbon policy, improves the wind power generation accepting capability of the power system, and simultaneously improves the low carbon of the operation of the power system.
In order to achieve the purpose, the invention provides the following scheme:
a photo-thermal power station and a wind power system considering carbon transaction are provided, wherein the photo-thermal power station and the wind power system comprise a wind power station and a photo-thermal power station, and the photo-thermal power station comprises a light field, a heat storage module, a power conversion module and an electric heat conversion module; the light field absorbs solar energy and converts the solar energy into heat energy, one part of the heat energy is converted into electric energy by the power conversion module through the heat conducting working medium, and the other part of the heat energy is stored in the heat storage module through the heat conducting working medium; the wind power plant converts the abandoned wind power into heat through the electric-heat conversion module and stores the heat in the heat storage module;
the photo-thermal power station, the electric-thermal conversion module and the thermal power generating unit jointly provide a whole power system for standby rotation;
a carbon transaction mechanism is introduced into the photo-thermal power station and the wind power system, so that the carbon emission of the whole power system is reduced.
The invention also provides a low-carbon scheduling method for the photo-thermal power station and the wind power system considering carbon transaction, which comprises the following steps:
acquiring the comprehensive cost of the power system; the comprehensive cost of the power system comprises carbon transaction cost, thermal power unit operation cost, photo-thermal power station operation cost, wind power operation and maintenance cost, electric-heat conversion cost and wind abandonment penalty cost;
acquiring constraint conditions of a thermal power generating unit, a photo-thermal power station and a wind power system; the constraint conditions comprise power balance constraint of a power system, operation constraint of a photo-thermal power station and a wind power system, rotation standby constraint of the power system and power flow constraint;
constructing a low-carbon scheduling model by taking the optimal comprehensive cost of the power system as a target function and combining constraint conditions;
and solving the low-carbon scheduling model to obtain a low-carbon scheduling scheme.
The invention also provides a low-carbon scheduling system for the photo-thermal power station and the wind power system considering carbon transaction, which comprises the following steps:
the power system comprehensive cost acquisition module is used for acquiring the power system comprehensive cost; the comprehensive cost of the power system comprises carbon transaction cost, thermal power unit operation cost, photo-thermal power station operation cost, wind power operation and maintenance cost, electric-heat conversion cost and wind abandonment penalty cost;
the power system constraint condition acquisition module is used for acquiring constraint conditions of the thermal power generating unit, the photothermal power station and the wind power system; the constraint conditions comprise power balance constraint of a power system, operation constraint of a photo-thermal power station and a wind power system, rotation standby constraint of the power system and power flow constraint;
the low-carbon scheduling model building module is used for building a low-carbon scheduling model by taking the optimal comprehensive cost of the power system as a target function and combining constraint conditions;
and the low-carbon scheduling scheme solving module is used for solving the low-carbon scheduling model to obtain a low-carbon scheduling scheme.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention provides a photothermal power station and a wind power system considering carbon transaction, and a low-carbon economic dispatching method and system based on the system, wherein in the photothermal power station and the wind power system considering carbon transaction, the photothermal power station and the wind power system can reduce carbon emission and promote wind power consumption by jointly operating wind power, thermal power and photothermal power and sharing the spare capacity borne by a thermal power unit; the electric heat conversion link, the photothermal power station and the thermal power unit provide rotation reserve for the system, so that the output of the traditional thermal power unit can be effectively reduced, the carbon emission is reduced, the consumption level of wind power is effectively improved, and the running economy is guaranteed.
In the low-carbon economic dispatching method and system of the photo-thermal power station and the wind power system based on the consideration of carbon transaction, a low-carbon dispatching model is constructed by taking the optimal comprehensive cost of the power system as a target function and combining constraint conditions of all unit elements; and a low-carbon scheduling scheme is obtained based on the low-carbon scheduling model, so that the low-carbon operation of the power system is facilitated. In addition, a carbon transaction mechanism is introduced into low-carbon scheduling, the influence of carbon emission cost on a scheduling result is considered, the output of the low-carbon thermal power generating unit is preferentially considered on the premise of similar cost level, the output among thermal power generating units can be redistributed, and the carbon emission is effectively reduced; the maximum power of the heat storage capacity and the electric-heat conversion of the photo-thermal power station are reasonably configured, and the photo-thermal power station with the heat storage capacity is operated in a combined mode by utilizing an electric-heat conversion link, so that the method has great significance for low-carbon dispatching.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor.
Fig. 1 is a frame diagram of a photo-thermal power station and a wind power system considering a carbon transaction mechanism according to embodiment 1 of the present invention;
fig. 2 is a diagram of a cost analysis of a thermal power plant provided in embodiment 1 of the present invention;
fig. 3 is a flowchart of a low-carbon scheduling method for a photo-thermal power station and a wind power system, which is provided in embodiment 2 and takes a carbon transaction mechanism into account;
fig. 4 is an energy flow diagram of a photothermal power station and a wind power system provided in embodiment 2 of the present invention;
fig. 5 is a wind power, solar radiation index and load prediction power diagram provided in embodiment 2 of the present invention;
fig. 6 is a schematic diagram of a scheduling result of the economic model of scene 1 according to embodiment 2 of the present invention;
fig. 7 is a schematic diagram of a scheduling result of the economic model of scene 2 according to embodiment 2 of the present invention;
fig. 8 is a schematic diagram of a scheduling result of the economic model of scene 3 according to embodiment 2 of the present invention;
fig. 9 is a comparison graph of the carbon-transacted thermal power output in scene 1 provided in embodiment 2 of the present invention;
FIG. 10 is a comparison of different index quantities under different conditions as provided in example 2 of the present invention;
fig. 11 is a block diagram of a low-carbon scheduling system of a photo-thermal power station and a wind power system, which is provided in embodiment 3 of the present invention and takes a carbon transaction mechanism into account.
Description of the symbols:
100: a photo-thermal power station and a wind power system; 101: a wind farm; 102: a photo-thermal power station; 102-1: a light field; 102-2: a power conversion module; 102-3: a heat storage module; 102-4: an electric-heat conversion module; 102-5: a thermally conductive working medium; 200: a carbon transaction mechanism; 300: a thermal power generating unit; 400: and (4) a power grid.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide a photo-thermal power station and a wind power system considering carbon transaction, and a low-carbon economic dispatching method and system based on the system, in the aspect of low-carbon technology, wind power, thermal power and photo-thermal combined operation are adopted, and the photo-thermal power station shares the spare capacity borne by a thermal power unit, so that carbon emission can be reduced and wind power consumption is promoted; in the aspect of a low-carbon policy, the potential of emission reduction of the thermal power generating unit is excavated by utilizing a carbon trading mechanism, and CO reduction is realized2A target for emissions; therefore, the invention combines the low-carbon technology and the low-carbon policy, improves the wind power generation accepting capability of the power system, and simultaneously improves the low carbon of the operation of the power system.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Example 1
As shown in fig. 1, the embodiment provides a photo-thermal power station and wind power system 100 considering carbon transaction, wherein the photo-thermal power station and wind power system 100 includes a wind farm 101 and a photo-thermal power station 102, and the photo-thermal power station 102 includes a light field 102-1, a heat storage module 102-3, a power conversion module 102-2 and an electric-thermal conversion module 102-4; the light field 102-1 absorbs solar energy and converts the solar energy into heat energy, one part of the heat energy is converted into electric energy by the power conversion module 102-2 through the heat conducting working medium 102-5 and is supplied to the power grid 400, and the other part of the heat energy is stored in the heat storage module 102-3 through the heat conducting working medium 102-5; the wind power plant 101 converts the abandoned wind power into heat through the electric-heat conversion module 102-4 and stores the heat in the heat storage module 102-3;
the photothermal power station 102, the electrothermal conversion module 102-4 and the thermal power generating unit 300 jointly provide a rotary standby for the whole power system;
a carbon transaction mechanism 200 is introduced between the photo-thermal power station and the wind power system 100, so that the carbon emission of the whole power system is reduced.
The carbon reduction mechanism is analyzed from the low carbon technology in combination with fig. 1: a photo-thermal power station 102 (CSP) equipped with a Thermal Energy Storage (TES) module 102-3 and an electrothermal conversion module 102-4 mainly includes a light field 102-1 (SF), a thermal energy storage module 102-3 and a power conversion module 102-2 (PB), and its specific operation principle is shown in fig. 1, where the light field 102-1 concentrates solar radiation to absorb solar energy and convert it into heat energy to heat a heat-conducting working medium 102-5 (HTF); the heat conducting working medium 102-5 can perform bidirectional heat transfer with the heat storage module 102-3, and meanwhile, the heat energy of the heat conducting working medium 102-5 can also heat water vapor and push a steam turbine unit of the power conversion module 102-2 to generate electric energy. Meanwhile, the electric-heat conversion module 102-4 can convert the abandoned wind power into heat and store the heat in the heat storage module 102-3 of the CSP power station 102, so that the wind power consumption level can be effectively improved, more heat sources can be provided for the CSP power station 102, when the load demand is greater than the system power generation amount, the heat which can be discharged by the heat storage module 102-3 is increased, the converted electric energy is increased, and the regulation capacity of the CSP power station 102 is improved. From the above analysis, the combined operation of the electrothermal conversion module 102-4 and the heat storage module 102-3 enhances the scheduling flexibility of the CSP power station 102, and can share the peak load pressure for the thermal power generating unit 300, thereby realizing carbon reduction.
In addition, in order to deal with uncertainty of wind power and load, a certain rotation reserve capacity needs to be reserved in the system, and most of the reserve capacity is provided by the thermal power generating unit 300 independently. In order to further reduce carbon, the system in fig. 1 provides a rotating standby for the power system through the electric energy available from the CSP power station 102 and the electrothermal conversion module 102-4, equivalently reduces the rotating standby required by the thermal power unit 300, and reduces the output of the thermal power unit 300 on the premise of ensuring the safe and stable operation of the power grid 400, thereby promoting the carbon reduction of the system. In addition, the cost for providing the rotary standby by the thermal power generating unit 300 is much higher than that of the CSP power station 102 and the electrothermal conversion module 102-4, so the standby capacity providing scheme can reduce the standby cost of the system and ensure the economical efficiency of operation.
In conclusion, the CSP power station and the wind power system comprising the heat storage module 102-3 and the electric-heat conversion module 102-4 can effectively promote wind power consumption and reduce carbon emission.
Analyzing a carbon reduction mechanism from a low carbon policy: the carbon trading mechanism 200 promotes the high-carbon unit to actively reduce emission by market adjustment means, equivalently improves the internet access space of new energy sources such as wind power and photo-thermal energy, and is beneficial to development of low-carbon power. The thermal power generating unit 300 with the carbon transaction mechanism 200 is as shown in fig. 2, if the carbon transaction mechanism 200 does not exist, the 1 st unit and the 2 nd unit with low thermal power unit cost preferentially output power, and the carbon emission of the 2 nd unit with the preferentially output power is much higher than that of the 1 st unit, but the carbon emission of the 2 nd unit is high and constant due to the absence of the carbon transaction mechanism 200, which is not beneficial to the low-carbon operation of the system. If the carbon transaction mechanism 200 exists, the high carbon unit needs to bear higher carbon transaction cost, and the low carbon unit only needs to bear lower carbon transaction cost, so that the total cost of the 2 nd high carbon unit is higher than that of the 3 rd high carbon unit, and at the moment, the 1 st unit and the 3 rd unit which are good in low carbon property have first-out force, so that the system is promoted to reduce carbon.
Considering that the power supply side has good low-carbon performance, but the power supply side provided with the base load by the thermal power output still has the potential of carbon reduction, the carbon transaction mechanism 200 is introduced into the photo-thermal power station and the wind power system 100, the low-carbon performance of the system is further excavated from the interior of the thermal power unit 300, and the low-carbon performance and the economical efficiency of operation are improved. In conclusion, the carbon trading mechanism 200 and the combined analysis of the photo-thermal power station and the wind power system 100 are beneficial to exerting respective advantages, and the carbon reduction is promoted while the wind power consumption is promoted.
Example 2
As shown in fig. 3, the embodiment provides a low-carbon scheduling method for a photo-thermal power station and a wind power system considering carbon transaction, including:
step S1: acquiring the comprehensive cost of the power system; the comprehensive cost of the power system comprises carbon transaction cost, the operation cost of the thermal power generating unit 300, the operation cost of the photo-thermal power station, wind power operation and maintenance cost, electric heat conversion cost and wind abandon punishment cost;
it can be further explained that (1) the carbon trading cost is:
Figure RE-GDA0002960480780000071
wherein, CpTrading costs for the carbon; t is the time period number of the scheduling period; n is a radical ofGThe number of the thermal power units 300; sigma is the trading price of the carbon emission rights unit;
Di,t,h＝δi,hPGi,t
wherein, deltai,hA quota coefficient of the ith thermal power generating unit 300; di,t,hAnd PGi,tThe carbon emission quota and the output power of the ith thermal power generating unit 300 are respectively in the t period;
Di,t＝δiPGi,t
wherein D isi,tThe actual carbon emission amount of the ith thermal power generating unit 300 in the period t; deltaiThe carbon emission coefficient of the ith thermal power generating unit 300;
(2) the operating cost of the thermal power generating unit 300 is as follows:
Figure BDA0002833991410000072
wherein, C1The operating cost of the thermal power generating unit 300 is reduced; u shapei,tA state variable of the ith thermal power generating unit 300 in a time period t; a isi、bi、ciThe coal consumption cost coefficients of the ith thermal power generating unit 300 are respectively; hiThe start-stop cost of the ith thermal power generating unit 300;
(3) the operation cost of the photo-thermal power station is as follows:
Figure BDA0002833991410000073
wherein, C2The operating cost of the photo-thermal power station is reduced; ksThe operation and maintenance cost coefficient of the photo-thermal power station; pCSP,tThe dispatching output of the optical thermal power station in the t time period is given out; u shapet,eThe variable of the startup and shutdown of the photothermal power station; ceThe start-stop cost of the photo-thermal power station is reduced;
(4) wind power operation and maintenance cost:
Figure RE-GDA0002960480780000081
wherein, C3The cost of wind power operation and maintenance is reduced; kwThe operation and maintenance cost coefficient of the wind power is obtained; pw,tOutput power of the wind farm 101 during the time period t;
(5) electric-heat conversion cost:
the electric-heat conversion cost is the operation cost required by the electric-heat conversion equipment when partial abandoned electricity is converted into heat energy.
Figure BDA0002833991410000081
Wherein, C4The cost for electric-heat conversion; krIs the electric-heat conversion cost coefficient;
Figure BDA0002833991410000088
electric power converted by the electrothermal conversion module 102-4 for a period t;
(6) wind abandon penalty cost:
the wind curtailment amount is equivalent to penalty cost, and the wind power plant 101 absorption capacity can be optimized by considering the system cost.
Figure BDA0002833991410000082
Figure BDA0002833991410000083
Wherein, C5Punishment of cost for wind abandonment; kqPunishing a cost coefficient for wind abandonment;
Figure BDA0002833991410000084
the power of the abandoned wind at the moment t;
Figure BDA0002833991410000085
the predicted power of the wind power in the day ahead is obtained.
Step S2: acquiring constraint conditions of the thermal power generating unit 300, the photothermal power station and the wind power system 100; the constraint conditions comprise power balance constraint of a power system, operation constraint of a photo-thermal power station and a wind power system 100, rotation standby constraint of the power system and power flow constraint;
(1) the power system power balance constraint is as follows:
Figure BDA0002833991410000086
wherein, Pl.tPredicting power for a load ahead of day;
Figure BDA0002833991410000087
power provided to grid 400 for wind farm 101.
(2) The operational constraints of the photothermal power station and the wind power system 100 include:
regardless of the dynamic process of energy exchange, the thermal/electrical energy flow conditions inside the CSP plant and the wind power system 100 are shown in fig. 4.
According to fig. 4, the output power of the wind farm 101 in the system is divided into two parts: the electrical power provided to the grid 400 and the electrical power provided to the electrothermal conversion module 102-4.
1) Wind farm 101 operational constraints:
Figure BDA0002833991410000091
wherein the content of the first and second substances,
Figure BDA0002833991410000092
the abandoned wind power is provided for the wind farm 101 to the electrothermal conversion module 102-4;
2) energy conservation is satisfied at the position of the heat-conducting working medium 102-5:
Figure BDA0002833991410000093
wherein the content of the first and second substances,
Figure BDA0002833991410000094
the thermal power after photo-thermal conversion;
Figure BDA0002833991410000095
thermal power transferred to the thermally conductive medium 102-5 for the thermal storage module 102-3;
Figure BDA0002833991410000096
the heat power is transferred to the heat storage module 102-3 by the heat conducting working medium 102-5;
Figure BDA0002833991410000097
to the thermal power entering the power conversion module 102-2;
Figure BDA0002833991410000098
the electrical power required to start up the power conversion module 102-2;
3) the heat storage module 102-3 of the photothermal power station 102 and the wind farm 101 are combined to form a heat charging and discharging power constraint:
Figure BDA0002833991410000099
wherein the content of the first and second substances,
Figure BDA00028339914100000910
wind curtailment power available to the electrothermal conversion module 102-4;
Figure BDA00028339914100000911
the charging power of the heat storage module 102-3; etainThe charging efficiency of the heat storage module 102-3; etaeThe efficiency of the electrothermal conversion module 102-4;
Figure BDA00028339914100000912
the heat release power of the heat storage module 102-3; etaoutThe heat release efficiency is obtained;
the heat charging power of the heat storage module 102-3 of the CSP power station 102 consists of two parts, namely the heat exchange power of the heat collecting device through the heat conducting working medium 102-5 and the thermal power provided by the electric heat conversion module 102-4, and the heat release power is only transmitted to the heat conducting working medium 102-5.
4) Power constraints of the electrothermal conversion module 102-4:
Figure BDA00028339914100000913
wherein the content of the first and second substances,
Figure BDA00028339914100000914
the maximum power of the electrothermal conversion module 102-4.
(3) The power system rotation standby constraint is as follows:
in order to avoid the safety problem of the power grid 400 caused by the uncertainty of wind power and load, the CSP power station 102 and the thermal power generating unit 300 provide the rotating standby needed by the system together with the electric-heat conversion module 102-4.
Figure BDA0002833991410000101
Wherein the content of the first and second substances,
Figure BDA0002833991410000102
respectively rotating up and down for standby;
Figure BDA0002833991410000103
and
Figure BDA0002833991410000104
the thermal power generating unit 300, the photothermal power station 102 and the electrothermal conversion module 102-4 are respectively rotated for standby at the time t;
Figure BDA0002833991410000105
and
Figure BDA0002833991410000106
the three parts are respectively provided for lower rotation standby in the time period t;
wherein, the standby constraint of thermal power unit 300:
Figure BDA0002833991410000107
wherein the content of the first and second substances,
Figure BDA0002833991410000108
and
Figure BDA0002833991410000109
the upper limit and the lower limit of the output power and the climbing rate of the ith thermal power generating unit 300 during operation are respectively set;
photovoltaic plant 102 backup constraints:
Figure BDA00028339914100001010
wherein the content of the first and second substances,
Figure BDA00028339914100001011
and
Figure BDA00028339914100001012
upper and lower limits of output power of the photothermal power station 102, respectively;
electrothermal conversion module 102-4 standby constraint:
Figure BDA00028339914100001013
wherein the content of the first and second substances,
Figure BDA00028339914100001014
and
Figure BDA00028339914100001015
the upper and lower power limits of the electrothermal conversion module 102-4 respectively;
Figure BDA00028339914100001016
the running state of electrothermal conversion is adopted;
(4) the power flow constraint is as follows:
the power flow distribution is described by introducing a generator output power transfer distribution factor matrix, and the constraint conditions are as follows:
Figure BDA00028339914100001017
wherein, Pl,maxAnd Pl,minRespectively the upper and lower limits of the transmission power of the line l; pd,tIs the load demand of node d during time t; gl-iAnd Gl-jThe effect of the injected power at points i and j on line l is described separately.
It should be further noted that the constraint conditions in this embodiment further include power constraint, maximum and minimum heat storage capacity constraint, output constraint, climbing constraint, start-stop constraint, output constraint, climbing constraint, and start-stop time constraint of the heat storage module 102-3 of the photothermal power station 102, and thermal power unit 300.
Step S3: constructing a low-carbon scheduling model by taking the optimal comprehensive cost of the power system as a target function and combining constraint conditions;
wherein the objective function is: f ═ min (C)1+C2+C3+C4+C5+CP)
F is the comprehensive cost of the low-carbon scheduling model; c1、C2And C3The operating costs of the thermal power generating unit 300, the optical thermal power station and the wind power system 100 are respectively calculated; c4The cost for electric-heat conversion; c5Punishment of cost for wind abandonment; cPIs the carbon transaction cost.
Step S4: and solving the low-carbon scheduling model to obtain a low-carbon scheduling scheme.
Optimization software CPLEX is adopted for optimization solution, the computing environment is Intel Core i5-7500 CPU, and the internal memory is 12.00 GB.
In order to verify the effectiveness of the low-carbon scheduling method in reducing carbon emission, improving wind power consumption level and reducing comprehensive cost of the system, improved IEEE-30 nodes are adopted for example analysis, CSP electric stations 102 and wind power plants 101 are respectively used for replacing No. 2 and No. 11 thermal power generating units 300 in an original system, branch transmission capacity is respectively expanded to be three times and four times of the original capacity so as to adapt to grid connection of a high-capacity new energy power station, and parameters of the four rest groups of thermal power generating units 300 are detailed in a table 1; wind power output data come from 2018 year-round actual measurement data of a certain 200MW wind power plant in northwest; the main parameters of the 100MW CSP power station 102 are detailed in Table 2, wherein the maximum power of the electrothermal conversion module 102-4 is 50MW, and DNI data come from CSP power station 102 simulation software SAM developed by the national renewable energy laboratory. A typical solar wind power forecast power, solar radiation index and load forecast power map for 24 dispatch periods is detailed in fig. 5; the optimization process parameters are detailed in table 3.
TABLE 1 thermal power generating unit parameter table
Figure BDA0002833991410000111
TABLE 2 CSP station operating parameters
Figure BDA0002833991410000121
TABLE 3 optimization of Process parameters
Figure BDA0002833991410000122
The day-ahead scheduling model constructed by the invention is simulated by taking 24 hours as a period and 1 hour as a step length. Optimization software CPLEX is adopted for optimization solution, the computing environment is Intel Core i5-7500 CPU, and the internal memory is 12.00 GB.
The scheduling results were analyzed as follows: two types of scheduling modes are set: A. a scheduling mode without considering carbon transaction cost, called traditional economic scheduling; B. the scheduling mode considering the carbon transaction cost is called low-carbon economic scheduling. Each type of scheduling mode comprises three operation scenes (the two types of scheduling modes correspond to 6 operation scenes in total):
scene 1: the system is provided with no thermoelectric conversion module 102-4, and the thermal power generating unit 300 and the CSP power station provide standby together;
scene 2: the system is provided with an electric-heat conversion module 102-4, and the thermal power generating unit 300 is independently used for standby;
scene 3: the system introduces an electric-heat conversion module 102-4, and provides standby with the thermal power generating unit 300 and the CSP power station 102;
traditional economic dispatch models for operating scene 1, scene 2 and scene 3 are represented by a1, a2 and A3 respectively, low-carbon economic dispatch models for scene 1, scene 2 and scene 3 are represented by B1, B2 and B3 respectively, wherein B3 is the model constructed in the text. The six models are optimized based on typical daily load and wind power and solar radiation indexes and with the aim of optimal comprehensive cost, the final carbon emission, wind power consumption and system operation cost of each model are contrastively analyzed to obtain system operation conditions, and the system operation conditions are shown in table 4, and the output plans of each unit of the six operation models are detailed in fig. 6, 7 and 8.
TABLE 4 results of different scheduling models
Figure BDA0002833991410000131
FIG. 6 can be compared with FIG. 7 to study the effect of the installation of the electrothermal conversion module 102-4 inside the CSP power station 102 on the scheduling; through comparison of the scheduling results of the three scenes in fig. 6, 7 and 8, the influence of the CSP power station 102 and the thermoelectric conversion module 102-4 cooperating with the thermal power unit 300 to provide standby power to the scheduling can be researched; the impact of the carbon transaction mechanism 200 on scheduling can be studied by comparing the scheduling results of the A, B models of fig. 6, 7, and 8. The effectiveness of the scheduling method proposed herein was verified by comparison of 6 models.
Influence analysis of combined operation of non-electric-heat conversion module 102-4 and heat storage module 102-3 on scheduling result
Comparing the scheduling results of fig. 6 and fig. 8 (i.e. comparing the scheduling results of scene 1 and scene 3), the scheduling models a3 and B3 are provided with the electrothermal conversion ring module 102-4 inside the CSP power station 102, and can convert the abandoned wind power into heat and store the heat in the heat storage module 102-3, thereby effectively improving the wind power consumption level and simultaneously improving the scheduling flexibility of the CSP power station 102; in addition, the available power of the electric-heat conversion module 102-4 is provided for standby, so that the output of the thermal power generating unit 300 is reduced, and the carbon emission is effectively reduced. As can be seen from the figure, compared with the scheduling models a1 and B1, the models A3 and B3 greatly reduce the waste air volume and compress the power of the thermal power generating unit 300, effectively reduce the operation cost, the carbon transaction cost and the waste air punishment cost of the thermal power generating unit 300, and further reduce the comprehensive cost.
As can be seen from the data in table 4, compared with the schedules a1 and B1, the scheduling results of the scheduling models A3 and B3 show that the carbon emissions are respectively reduced by 513.7 tons and 517.1 tons, the wind power consumption rates are respectively improved by 11.67% and 10.83%, and the comprehensive cost is respectively reduced by 8.291 ten thousand yuan and 9.0172 ten thousand yuan, which proves the effectiveness of the installation of the electrothermal conversion module 102-4 in the CSP power station 102 in improving the wind power utilization rate, reducing the carbon emissions, and reducing the comprehensive cost.
Analysis of influence of different rotary standby providing schemes on scheduling result
Comparing the scheduling results of fig. 6, 7, and 8 (i.e., comparing the scheduling results of scene 1, scene 2, and scene 3), scene 1 can provide backup with the thermal power unit 300 by using the CSP power station 102 with stable output and strong adjusting capability as a flexible power source, so as to reduce the backup capacity borne by the thermal power unit 300, and further reduce the carbon emission; in the scene 3, on the basis of the scene 1, the available electric quantity of the electrothermal conversion module 102-4 is also taken as the system rotation standby, so that the thermal power generating unit 300 is further compressed to output power while the stable operation of the power grid 400 is ensured, and the carbon emission is further reduced. However, the scheduling model in the scenario 2 is only used by the thermal power generating unit 300 for backup, so that the power output of the thermal power generating unit 300 is high, and the carbon emission is at a higher level, which is far higher than those in the scenarios 1 and 3.
The two types of scheduling models of the thermal power generating unit 300 in the scene 2 have the largest output, but the air abandonment amount is less than that in the scene 1. Compared with the scene 1, the scene 2 is provided with the electric-heat conversion module 102-4 in the CSP power station 102, so that the electric quantity of the abandoned wind can be effectively consumed, and the abandoned wind rate is lower than that of the scene 1; compared with scenario 3, the power output of the thermoelectric generator set 300 in scenario 2 is higher, so that the power output space of the wind power supply load is compressed. Meanwhile, the wind curtailment power of the scene cannot be completely consumed due to the limitation of the maximum thermoelectric conversion power, so that the consumption level is lower than that of the scene 3. Therefore, the operation cost, the carbon transaction cost and the wind abandonment penalty cost of the thermal power generating unit 300 of the two types of scheduling models in the scene 2 are all higher than those of the model in the scene 3, and the total system cost is high.
As can be seen from the data in table 4, compared with the scheduling models a2 and B2, the scheduling results of the two types of scheduling models A3 and B3 in scenario 3 show that the carbon emission is respectively reduced by 979.6 tons and 715.17 tons, the wind power consumption rate is respectively increased by 2.39% and 0.92%, and the comprehensive cost is respectively reduced by 25.26% and 24.62%, which proves the effectiveness of the provision scheme for spinning reserve provided herein in reducing the carbon emission, the air curtailment amount, the comprehensive cost, and the like.
Carbon transaction mechanism 200 impact analysis on scheduling results
Comparing fig. 6, fig. 7, and fig. 8 (i.e. comparing the scheduling results of scene 1, scene 2, and scene 3), compared with the conventional economic model, the three low-carbon economic models reduce the output of the thermal power generating unit 300, reduce the carbon emission, and improve the utilization rate of the clean unit due to the consideration of the carbon emission cost. In fig. 6(B), after the carbon transaction cost is introduced, the model B1 thermal power generating unit 300 actively reduces the output power within a time period of 1: 00-7: 00, so that the amount of the abandoned wind is reduced; in fig. 7(B), the model B2 thermal power generating unit 300 reduces output in the whole time period, greatly reduces carbon emission, and effectively improves the wind power consumption level; in fig. 8(B), in the time period of 1: 00-11: 00 of the model B3, the CSP power station 102 and the electrothermal conversion module 102-4 actively take charge of standby, so that the output of the thermal power unit 300 is greatly reduced, and the carbon emission is reduced, and in the time period of 12: 00-18: 00, the CSP power station 102 directly generates power by using the heat absorbed by the optical field 102-1, so as to share the load demand for thermal power.
In order to specifically analyze how the carbon trading mechanism 200 excavates the low carbon potential inside the thermal power unit 300, the change situation of the output of different thermal power units 300 with or without the carbon trading mechanism 200 needs to be analyzed. At length, the thermal power unit 300 outputs of the scenario 1 scheduling models a1 and B1 are compared herein, as shown in fig. 9.
As can be seen from fig. 9, in a scenario 1, the thermal power unit 300 and the CSP power station 102 jointly provide a rotating reserve capacity, at this time, the power of the thermal power unit 300 is not high, when the carbon trading cost is not considered, the power of the thermal power unit No. 1 with low thermal power cost (G1) and the power of the thermal power unit No. 4 (G4) are preferentially output, and the power of the thermal power unit No. 3 with high operating cost (G3) and the power of the thermal power unit No. 5 with high operating cost (G5) are shut down; on the premise of approaching the cost level, the carbon emission intensity of G1 and G4 is 0.98 and 1.08 respectively, considering that the low-carbon low-cost unit has priority output after the carbon trading mechanism 200 is introduced, the output of G1 is increased, the output of G4 is reduced to 0, and the G3 and G5 are still stopped due to higher cost, but the total thermal power output is reduced by 360.12MWh in total. The carbon trading mechanism 200 realizes the redistribution of output power among thermal power generating units 300, realizes the aim of carbon reduction, provides space for wind power grid connection, and promotes wind power consumption.
As can be seen from the data in table 4, after the carbon trading cost is considered, the scheduling results of the three scenarios show that the carbon emission is reduced by 75.6 tons, 343.4 tons and 179 tons respectively, and the wind power consumption rate is improved by 1.64%, 2.27% and 0.08% respectively. In addition, the comprehensive cost of the three scenes is respectively reduced by 1.5681 ten thousand yuan, 3.6514 ten thousand and 2.2942 thousand, because the carbon transaction cost and the thermal power unit 300 operation cost are greatly reduced after the carbon transaction cost is considered, and although the wind power operation maintenance cost is increased, the wind abandon punishment cost is reduced, so that the total cost of the system is optimized. The above analysis and scheduling results of table 1 demonstrate the effectiveness of the carbon trading mechanism 200 in reducing carbon emissions, increasing wind power consumption levels, and reducing overall costs.
Through comparison of the six models, the model B3 (the model provided by the invention) has the advantages of minimum carbon emission, highest wind power consumption level and optimal comprehensive cost in the scheduling result, and the effectiveness of the low-carbon scheduling method provided by the invention is verified.
Influence of capacity of heat storage module 102-3 and maximum power of electrothermal conversion on scheduling operation
The simulation considers the operation condition of the CSP power station 102 heat storage module 102-3 with the capacity of 6FLHs and the electric-heat conversion module 102-4 with the maximum power of 50 MW. In order to study the influence of the heat storage module 102-3 with different capacities and the electric-to-heat conversion module 102-4 with different maximum powers on the scheduling, nine operation scenes are set, and as shown in table 5 specifically, the carbon emission, the air rejection and the system comprehensive cost are analyzed and compared according to the scheduling result.
TABLE 5 nine scenarios with different heat storage capacities and maximum power for electrothermal conversion
Figure BDA0002833991410000161
Figure BDA0002833991410000171
Fig. 10(a), 10(b), and 10(c) are graphs showing the system air loss amount, carbon emission amount, and system total cost for the above nine scenarios, respectively. As can be seen from fig. 10(a) and 10(b), as the heat storage capacity of the CSP power station 102 increases, the system air rejection and the carbon emission decrease. When the maximum power of the electrothermal conversion module 102-4 is 0MW and the maximum heat storage capacity is 6FLHs, compared with 1FLH, the air abandoning amount of the system is gradually reduced to 830.1MWh from 875.6MWh, and the carbon discharge amount of the system is reduced to 2054.1 tons from 2311 tons. The reason is that with the increase of the heat storage capacity, the rotating reserve provided by the CSP power station 102 is increased, the reserve borne by the thermal power generating unit 300 is equivalently reduced, the carbon emission is further reduced, the wind power grid space is increased, but the total wind abandoning level and the carbon emission level are higher.
On the basis, when the maximum heat storage capacity of the CSP power station 102 is 6FLHs and the maximum power of electrothermal conversion is increased from 0MW to 50MW, the air abandoning amount of the system is suddenly reduced to 8.87MWh from 830.01MWh, the carbon discharge is reduced to 1572.3 tons from 2054.1 tons, the carbon discharge is reduced by 23.46%, and the effect is obvious. The reason is that the system can convert the abandoned wind power into heat and store the heat in the heat storage module 102-3 with the increase of the maximum power of the electric-heat conversion, and the abandoned wind power is obviously reduced. The CSP power station 102 thus obtains more heat sources, the capacity of the backup capacity that is borne along with the electrothermal conversion module 102-4 is improved, the backup capacity borne by the thermal power generating unit 300 is further reduced, and the carbon emission is further reduced.
Therefore, along with the reduction of the abandoned air volume and the carbon emission, the punishment cost of the abandoned air of the system, the carbon transaction cost and the operation cost of the thermal power generating unit 300 are all reduced, and the economical efficiency of the system is ensured. As can be seen from fig. 10(c), the overall cost of the system decreases as the heat storage capacity increases with the maximum power of the electrothermal conversion.
Compared with the scenario that the heat storage capacity of the CSP power station 102 is 1FLH and the maximum power of electric-heat conversion is 0MW, the air abandoning amount, the carbon emission and the comprehensive cost show a trend of reduction no matter the heat storage capacity is increased or the maximum power of electric-heat conversion is increased. When the heat storage capacity is 6FLHs and the maximum power of electrothermal conversion is 50MW, the carbon emission is lowest, the air volume is least, and the system economy is best, so that the combined operation of the electrothermal conversion module 102-4 and the CSP power station 102 containing the heat storage module 102-3 is proved to have positive significance on low-carbon economic dispatching.
Example 3
As shown in fig. 11, the embodiment provides a low carbon dispatching system for a photo-thermal power station and a wind power station 100, which includes:
the power system comprehensive cost obtaining module M1 is used for obtaining the power system comprehensive cost; the comprehensive cost of the power system comprises carbon transaction cost, thermal power unit operation cost, photo-thermal power station operation cost, wind power operation and maintenance cost, electric-heat conversion cost and wind abandonment penalty cost;
the power system constraint condition acquisition module M2 is used for acquiring constraint conditions of the thermal power generating unit 300, the photothermal power station and the wind power system 100; the constraint conditions comprise power balance constraint of a power system, operation constraint of a photo-thermal power station and a wind power system 100, rotation standby constraint of the power system and power flow constraint;
the low-carbon scheduling model building module M3 is used for building a low-carbon scheduling model by taking the optimal comprehensive cost of the power system as a target function and combining constraint conditions;
and the low-carbon scheduling scheme solving module M4 is used for solving the low-carbon scheduling model to obtain a low-carbon scheduling scheme.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.

Claims (10)

1. A photo-thermal power station and a wind power system considering carbon transaction are characterized in that,
the photo-thermal power station and the wind power system comprise a wind power plant and a photo-thermal power station, and the photo-thermal power station comprises a light field, a heat storage module, a power conversion module and an electric heat conversion module; the light field absorbs solar energy and converts the solar energy into heat energy, one part of the heat energy is converted into electric energy by the power conversion module through the heat conducting working medium, and the other part of the heat energy is stored in the heat storage module through the heat conducting working medium; the wind power plant converts the abandoned wind power into heat through the electric-heat conversion module and stores the heat in the heat storage module;
the photo-thermal power station, the electric-thermal conversion module and the thermal power generating unit jointly provide a rotary standby power for the whole power system;
a carbon transaction mechanism is introduced into the photo-thermal power station and the wind power system, so that the carbon emission of the whole power system is reduced.
2. A method for implementing low-carbon scheduling based on the system of claim 1, comprising:
acquiring the comprehensive cost of the power system; the comprehensive cost of the power system comprises carbon transaction cost, thermal power unit operation cost, photo-thermal power station operation cost, wind power operation and maintenance cost, electric-heat conversion cost and wind abandonment penalty cost;
acquiring constraint conditions of a thermal power generating unit, a photo-thermal power station and a wind power system; the constraint conditions comprise power balance constraint of a power system, operation constraint of a photo-thermal power station and a wind power system, rotation standby constraint of the power system and power flow constraint;
constructing a low-carbon scheduling model by taking the optimal comprehensive cost of the power system as a target function and combining constraint conditions;
and solving the low-carbon scheduling model to obtain a low-carbon scheduling scheme.
3. The method according to claim 2, wherein the optimizing the integrated cost of the power system as an objective function specifically comprises:
the objective function is: f ═ min (C)1+C2+C3+C4+C5+CP)
Wherein F is the comprehensive cost of the low-carbon scheduling model; c1、C2And C3The running costs of the thermal power generating unit, the photo-thermal power station and the wind power station are respectively calculated; c4The cost for electric-heat conversion; c5Punishment of cost for wind abandonment; cPIs the carbon transaction cost.
4. The method of claim 3,
the carbon transaction cost:
Figure RE-FDA0002960480770000021
wherein, CpTrading costs for the carbon; t is the time period number of the scheduling period; n is a radical ofGThe number of the thermal power generating units is; sigma is the trading price of the carbon emission rights unit;
Di,t,h＝δi,h PGi,t
wherein, deltai,hQuota system for ith thermal power generating unitCounting; di,t,hAnd PGi,tRespectively obtaining the carbon emission quota and the output power of the ith thermal power generating unit in the t period;
Di,t＝δi PGi,t
wherein D isi,tThe actual carbon emission of the ith thermal power generating unit in the t period; deltaiThe carbon emission coefficient of the ith thermal power generating unit;
the operating cost of the thermal power generating unit is as follows:
Figure RE-FDA0002960480770000022
wherein, C1The operation cost of the thermal power generating unit is reduced; u shapei,tThe state variable of the ith thermal power generating unit in the t period is obtained; a isi、bi、ciRespectively representing the coal consumption cost coefficients of the ith thermal power generating unit; b isiThe start-stop cost of the ith thermal power generating unit is calculated;
the operation cost of the photo-thermal power station is as follows:
Figure RE-FDA0002960480770000023
wherein, C2The operating cost of the photo-thermal power station is reduced; ksThe operation and maintenance cost coefficient of the photo-thermal power station; pCSP,tDispatching output of the photo-thermal power station in a time period t; u shapet,eThe variable of the startup and shutdown of the photothermal power station; ceThe start-stop cost of the photo-thermal power station is reduced;
the wind power operation and maintenance cost is as follows:
Figure RE-FDA0002960480770000024
wherein, C3The cost of wind power operation and maintenance is reduced; kwThe operation and maintenance cost coefficient of the wind power is obtained; pw,tThe output power of the wind power in the time period t is obtained;
the electric-heat conversion cost is as follows:
Figure RE-FDA0002960480770000031
wherein, C4The cost for electric-heat conversion; krIs the electric-heat conversion cost coefficient; pt EHElectric power converted by the electrothermal conversion module for a period t;
the wind abandon penalty cost is as follows:
Figure RE-FDA0002960480770000032
Figure RE-FDA0002960480770000033
wherein, C5Punishment of cost for wind abandonment; kqPunishing a cost coefficient for wind abandonment;
Figure RE-FDA0002960480770000034
the power of the abandoned wind at the moment t;
Figure RE-FDA0002960480770000035
the predicted power of the wind power in the day ahead is obtained.
5. The method of claim 2, wherein the power system power balance constraint is:
Figure FDA0002833991400000036
wherein, Pl.tPredicting power for a load ahead of day;
Figure FDA0002833991400000037
providing wind power to a gridOf the power of (c).
6. The method of claim 2, wherein the photothermal power plant and wind power system operational constraints comprise:
(1) wind power plant operation constraint:
Figure FDA0002833991400000038
wherein, Pt W-HThe wind power is used for providing the wind power for the electric-heat conversion link from the wind power plant;
(2) energy conservation is satisfied at the heat-conducting working medium:
Figure FDA0002833991400000039
wherein, Pt S-HThe thermal power after photo-thermal conversion; pt T-HThe heat power transferred to the heat conducting working medium by the heat storage module is provided; pt H -TThe heat power is transferred to the heat storage module by the heat conduction working medium; pt H-PIs the thermal power entering the power conversion module;
Figure FDA00028339914000000310
the electric power required for starting the power conversion module;
(3) the heat storage module of the photothermal power station is restricted by the heat charging and discharging power combined with the wind power plant:
Figure FDA0002833991400000041
wherein, Pt EHThe waste wind power which can be used by the electric-heat conversion module; pt inThe charging power of the heat storage module is obtained; etainThe heat charging efficiency of the heat storage module is obtained; etaeEfficiency of the electrothermal conversion module; pt outThe heat release power of the heat storage module; etaoutThe heat release efficiency is obtained;
(4) power constraint of the electrothermal conversion module:
Figure FDA0002833991400000042
wherein the content of the first and second substances,
Figure FDA0002833991400000043
the maximum power of the electrothermal conversion link.
7. The method of claim 2, wherein the power system rotation backup constraint is:
Figure FDA0002833991400000044
wherein the content of the first and second substances,
Figure FDA0002833991400000045
respectively rotating up and down for standby;
Figure FDA0002833991400000046
and
Figure FDA0002833991400000047
the upper rotation standby is respectively provided for the thermal power generating unit i, the photo-thermal power station and the electric heat conversion link in a time period t;
Figure FDA0002833991400000048
Figure FDA0002833991400000049
and
Figure FDA00028339914000000410
the three parts are respectively provided for lower rotation standby in the time period t;
wherein, the reserve restraint of thermal power unit:
Figure FDA00028339914000000411
wherein the content of the first and second substances,
Figure FDA00028339914000000412
and
Figure FDA00028339914000000413
respectively setting the upper limit and the lower limit of output power and the climbing speed of the ith thermal power generating unit during operation;
backup restraint of the photothermal power station:
Figure FDA00028339914000000414
wherein the content of the first and second substances,
Figure FDA00028339914000000415
and
Figure FDA00028339914000000416
respectively the upper limit and the lower limit of the output power of the photo-thermal power station;
standby restraint of the electric-heat conversion module:
Figure FDA0002833991400000051
wherein the content of the first and second substances,
Figure FDA0002833991400000052
and
Figure FDA0002833991400000053
the power upper limit and the power lower limit of the electric-heat conversion module are respectively set;
Figure FDA0002833991400000054
the operation state of electrothermal conversion is shown.
8. The method of claim 2, wherein the power flow constraint is:
the power flow distribution is described by introducing a generator output power transfer distribution factor matrix, and the constraint conditions are as follows:
Figure FDA0002833991400000055
wherein, Pl,maxAnd Pl,minRespectively the upper and lower limits of the transmission power of the line l; pd,tIs the load demand of node d during time t; gl-iAnd Gl-jThe effect of the injected power at points i and j on line l is described separately.
9. The method of claim 2, wherein the constraints further comprise thermal power plant thermal storage system power constraints, maximum minimum thermal storage capacity constraints, output constraints, ramp constraints, start-stop constraints, thermal power plant output constraints, ramp constraints, start-stop time constraints.
10. A low carbon scheduling system based on the low carbon scheduling method of any one of claims 2 to 9, comprising:
the power system comprehensive cost acquisition module is used for acquiring the power system comprehensive cost; the comprehensive cost of the power system comprises carbon transaction cost, thermal power unit operation cost, photo-thermal power station operation cost, wind power operation and maintenance cost, electric-heat conversion cost and wind abandonment penalty cost;
the power system constraint condition acquisition module is used for acquiring constraint conditions of the thermal power generating unit, the photothermal power station and the wind power system; the constraint conditions comprise power balance constraint of a power system, operation constraint of a photo-thermal power station and a wind power system, rotation standby constraint of the power system and power flow constraint;
the low-carbon scheduling model building module is used for building a low-carbon scheduling model by taking the optimal comprehensive cost of the power system as a target function and combining constraint conditions;
and the low-carbon scheduling scheme solving module is used for solving the low-carbon scheduling model to obtain a low-carbon scheduling scheme.
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