AU2020101665A4 - A compensation cost allocation method for auxiliary service of peak load regulation - Google Patents
A compensation cost allocation method for auxiliary service of peak load regulation Download PDFInfo
- Publication number
- AU2020101665A4 AU2020101665A4 AU2020101665A AU2020101665A AU2020101665A4 AU 2020101665 A4 AU2020101665 A4 AU 2020101665A4 AU 2020101665 A AU2020101665 A AU 2020101665A AU 2020101665 A AU2020101665 A AU 2020101665A AU 2020101665 A4 AU2020101665 A4 AU 2020101665A4
- Authority
- AU
- Australia
- Prior art keywords
- unit
- cost
- power
- peak
- regulation
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims description 13
- 238000004364 calculation method Methods 0.000 claims abstract description 31
- 238000010248 power generation Methods 0.000 claims abstract description 13
- 230000001105 regulatory effect Effects 0.000 claims abstract description 13
- 230000005611 electricity Effects 0.000 claims abstract description 12
- 230000008901 benefit Effects 0.000 claims abstract description 8
- 101100180315 Schizosaccharomyces pombe (strain 972 / ATCC 24843) cwf29 gene Proteins 0.000 claims 1
- 101100379081 Emericella variicolor andC gene Proteins 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/041—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a variable is automatically adjusted to optimise the performance
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05F—SYSTEMS FOR REGULATING ELECTRIC OR MAGNETIC VARIABLES
- G05F1/00—Automatic systems in which deviations of an electric quantity from one or more predetermined values are detected at the output of the system and fed back to a device within the system to restore the detected quantity to its predetermined value or values, i.e. retroactive systems
- G05F1/66—Regulating electric power
-
- 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
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy 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
- 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]
-
- 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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
-
- 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
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Health & Medical Sciences (AREA)
- General Business, Economics & Management (AREA)
- Automation & Control Theory (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Public Health (AREA)
- Electromagnetism (AREA)
- Primary Health Care (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Power Engineering (AREA)
- General Health & Medical Sciences (AREA)
- Radar, Positioning & Navigation (AREA)
- Water Supply & Treatment (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Computation (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a calculation method for compensation and apportionment of peak
shaving auxiliary service cost. The compensation and apportionment calculation of the peak
shaving auxiliary service cost includes: calculating the deep peak shaving cost of the deep
peak shaving unit; the deep peak shaving cost of the deep peak shaving unit includes the
unit efficiency loss cost and opportunity cost, and the deep peak shaving unit participating
in the peak shaving auxiliary is calculated respectively; calculating the compensation
income of peak shaving units and the sharing costs of non peak load regulating units, and
calculating the compensation benefits of thermal power peak shaving units, as well as the
apportionment costs of nuclear power, wind power and thermal power non peak load
regulating units that fail to fulfill the duty of peak load regulation.
-2/4
Share of electricity to share the cost of peak
shaving auxiliary service
Power
generation
Load rate
benchmark of
deep peak load
Thermal Thermal Thermal Thermal Nuclear Wind
power power power power power turbine
unitA unit B unit C unit D unit unit
Figure 2
Description
-2/4
Share of electricity to share the cost of peak shaving auxiliary service
Power generation
Load rate benchmark of deep peak load
Thermal Thermal Thermal Thermal Nuclear Wind power power power power power turbine unitA unit B unit C unit D unit unit
Figure 2
PATENTS ACT 1990
A compensation cost allocation method for auxiliary service of peak load regulation
The invention is described in the following statement:-
A compensation cost allocation method for auxiliary service of peak load regulation
[00011 The invention relates to the field of electric power economy and technology, in
particular to a calculation method for compensation and apportionment of peak shaving
auxiliary service cost.
[0002] Safe and reliable power supply is of great significance for maintaining social stability
and promoting economic development. Due to the instantaneous balance of power system,
auxiliary service is essential to ensure the safe and stable operation of power system. Peak load
regulation is an important part of power system auxiliary service. At present, China's power
system peak shaving auxiliary service cost is compensated in accordance with the Interim
Measures for the management of auxiliary services of grid connected power plants ([2006] No.
43 document). According to the actual operation situation of power systems in different
provinces, the compensation is made according to the standard of 100-200 yuan / MWh for
providing less electricity generated by deep peak regulation than basic peak shaving. However,
with the large-scale access of renewable energy such as wind power and photovoltaic, the
power generation capacity of conventional power sources such as thermal power units is further
reduced, and the auxiliary service cost of power system is gradually increasing. If according to
the current compensation method of auxiliary service cost of peak load regulation, the thermal
power unit with strong peak regulation capacity can not be reasonably compensated, and its
profit will be further compressed, which will directly affect the economy of peak load regulating thermal power unit, and cause the equity dispute of power system peak load regulation responsibility and right sharing.
[0003] Therefore, it is hoped that there is a compensation and allocation calculation
method of peak load adjustment auxiliary service cost to solve the existing technical
problems.
[0004] The purpose of the invention is to provide a calculation method for compensation
and apportionment of auxiliary service cost of peak shaving. On the basis of calculating the
auxiliary service cost of peak shaving unit and starting and stopping peak shaving unit, this
part of cost is compensated and apportioned between peak shaving unit and non peak
shaving unit, realizing the secondary reasonable allocation of cost and benefit, ensuring the
economic benefits of the unit and optimizing the allocation set up peak load regulation
resources to improve the peak load regulation capacity of power system.
[0005] The invention provides a calculation method for compensation and allocation of
peak shaving auxiliary service cost, and the compensation and allocation calculation of
peak shaving auxiliary service cost includes the following steps:
[0006] Step 1: calculate the deep peak shaving cost ofthe deep peak shaving unit, which includes the
unit efficiency loss cost and opportunity cost, and calculates the unit efficiency loss cost and
opportunity cost caused by the deep peak shaving unit participating in the peak shaving auxiliary
service;
[0007] Step 2: calculate the compensation income of peak load regulating units and the shared cost
of non peak load regulating units, respectively calculate the compensation benefits of thermal power
peaking units, and the shared costs of nuclear power units, wind power units and thermal power non
peak load regulating units that failto fulfill the peak load regulation obligations.
[0008] Preferably, the first step comprises the following contents:
[0009] ()In the trough period, the load rate of the deep peak regulation unit is very low. At this
time, the consumption of the deep peak regulation unit will be higher than that under the stable
condition. The generation efficiency of the deep peak regulation unit will be reduced and the
operation cost will be increased. The calculation formula of the unit efficiency loss cost of the deep
peakregulationunit is as follows:
[0010] C(Pk)= ax(Pk) 2+bxPk+c (1)
[0011] C = Px (2)
[0012] Among them, C(P) is the generation cost function of deep peak regulation
unit K, Pk is the output of deep peak regulation unit K, a, b,c are the undetermined
parameters of generation cost function of deep peak regulation unit K, and C,. is the unit
efficiency loss cost of deep peak regulation unit K, IP" is the actual average output of the
deep peak regulation unit K in the deep peak shaving period Ati, Pm is the installed
capacity of the deep peak shaving unit K, and ?0 is the load rate benchmark of the deep
peak shaving unit;
[0013] @The opportunity cost of deep peak regulation unit is calculated, and the formula for
calculating the opportunity cost ofdeep peakregulationunit is as follows:
[0014] C = Px -( )- x) t, (3)
[0015] ,Among them, C, is the opportunity cost of the deep peak regulation unit K,
I_ is the original planned average output of the deep peak regulation unit K in the deep
peak regulation period Ati, pe is the on grid price, and IPi is the actual average output of
the deep peak regulation unit K in the deep peak regulation period Ati;
[0016] @The calculation formula for calculating the cost of deep peak shaving unit is
as follows:
[0017] C, =C +C (4)
[0018] Among them, C, is the cost of deep peak shaving for unit K
[0019] Preferably, the second step comprises the following contents:
[0020] ()The calculation formula for calculating the compensation income of the
thermal power peak regulation unit is as follows:
[0021] Rk =C (5)
[0022] Among them, R,, is the compensation income of thermal power peak regulation
unit K
[0023] @The calculation formula for calculating the apportioned cost of nuclear
power unit is as follows:
[0024] Ek e=E,-Ek x,4 (6)
C.haren =- M----~ Ck, ~ -ed"-- 1 M3r (,7) x$
[002.002~ : E ".I +~w E ,l~ftxed +E,, E"*e,,
* k1k A k-I
[0026] Among them, E,j*, is the correctedpower generation of nuclear power unit K,
E, is the actual generatio n capacity of nuclear power unit K', Eo kis the rated generating
capacity of nuclear power unit K, C, is the shared cost of nuclear power unitK, and
E ,fixrnlisthe corrected generation capacity of wind turbine unit K, Efedisthecorrected
generation capacity of thermal power units k that fail to fulfill the peak load regulation
obligation, mn is the number of nuclear power units participating in the peak shaving cost
allocation, mw-1 is the number of wind turbine units participating in the peak shaving cost
allocation, mt,1 is the number of thermal power units participating in peak shaving cost
allocation, and mt2 is the number of thermal power units receiving peak load cost
compensation;
[0027] ®The calculation formula for calculating the apportioned cost of wind
turbine is as follows:
[0028] E = , (-8 )
[0029] Ek rn 1,fted
VE g+ EE d+ Ek k=1 k=] k=J
[0030] Among them, E, 1 is the actual power generation of wind turbine unit K, 4 is
the correction factor of wind turbine power generation, and Cdam_ is the shared cost of
wind turbine unit K
[0031] @The calculation formula is as follows to calculate the shared cost of thermal
power units that fail to fulfill the duty of peak load regulation:
3
[0032] f (10
ckk
[0033] C'? xkR. E + IE± _,,+ w-I,fixd E~ k kI(1 k=1 k=1 k=1
[0034] Among them, the actual generating capacity of thermal power units failing to
fulfill the duty of peak load regulation is classified according to different load rate
intervals. The electricity quantity with average load rate higher than 20 but less Ihan 70%
is E , the power quantity with average load rate between 70% and 80% isEi ,the
power quantity with average load rate higher than 80% is E,*3 , and Kl, K2 and K3 are
the power correction coefficients of E , E 2 , E respectively, Ch,, is the shared
cost of thermal power unit K which fails to fulfill the duty of peak regulation.
[0035] In view ofthe large-scale access ofwind power, photovoltaic and other renewable energy
to the power system, the current peak shaving ancillary services cost is unable.
The invention discloses a calculation method for the compensation and apportionment of the
auxiliary service cost of peak load regulation. It calculates the auxiliary service cost of the deep peak load regulating unit and the starting and stopping peak regulating unit, compensates the corresponding auxiliary service cost of the peak shaving unit, and apportions the cost among the non peak load regulating units At present, the secondary reasonable allocation of the cost and benefit of peak load regulation auxiliary service among various types of units can be applied to the actual work of regional power system at and below the provincial level, so as to realize the optimal allocation of power system resources and the reliable and sustainable development of economy.
[0036] Figure 1 is the flowchart of compensation and allocation calculation of peak load regulation
auxiliary service cost.
[0037] Figure 2 is a column chart of power share for sharing the auxiliary service cost of peak shaving.
[0038] Figure 3 is the daily load curve ofthe power system on a certain day.
[0039] Fig. 4 is a change column diagram of generating units under the original peak load regulation
auxiliary service cost compensation allocation method and the compensation allocation method
proposed by the invention.
[0040] In order to make the implementation purpose, technical scheme and
advantages of the invention clearer, the technical scheme in the embodiment of the
invention will be described in more detail in combination with the attached
drawings in the embodiment of the invention. In the drawings, the same or similar
labels from beginning to end indicate the same or similar elements or elements with
the same or similar functions. The described embodiments are some rather than all embodiments of the invention. The embodiments described below by reference to the accompanying drawings are illustrative and are intended to be used for the interpretation of the present invention and cannot be understood as a limitation of the invention. Based on the embodiment of the invention, all other embodiments obtained by ordinary technicians in the art without creative labor belong to the scope of protection of the invention.
[00411 The method of compensation and apportionment of auxiliary service cost of peak load
regulation is used to calculate the auxiliary service cost of deep peak regulation unit and start
up and stop peak regulation unit, so as to compensate the corresponding auxiliary service cost
of peak shaving unit. Meanwhile, this part of cost is shared among non peak load regulating
units, which provides support for economic operation of power system from the perspective of
resource optimal allocation.
[0042] The embodiment of the invention is described in detail with the attached drawings.
[0043] As shown in Figure 1, the compensation and allocation calculation method of peak
load regulation auxiliary service cost includes the following steps:
[0044] Step 1: calculate the deep peak shaving cost ofthe deep peak shaving unit, which includes the
unit efficiency loss cost and opportunity cost, and calculates the unit efficiency loss cost and
opportunity cost caused by the deep peak shaving unit participating in the peak shaving auxiliary
service;
[0045] Step 2: thermalpowerunits undertaking peakloadregulation service shall receive
compensation income from peak loadregulation auxiliary service; nuclear power unit, wind power unit
and thermal power unit failing to fulfill peakregulation obligation shalljointly participate in sharing the
cost ofpeak shaving auxiliary service. The compensation benefits of peak load regulation units such as themal power plants, and the shared costs ofnuclear power, wind power and thermal power units that failto meet the peakloadregulation obligations are calculated respectively.
[0046] Step one includes the following:
[0047] T In the trough period, the load rate of the deep peak regulation unit is very low. At this
time, the unit consumption will be higher than the consumption under the stable condition, the
generating efficiency of the unit will be reduced and the operation cost will be increased. The
calculation formula of the unit efficiency loss cost of the deep peak regulation unit is as follows:
[0048]C(P =ax(lf+bxP+c ( 1)
[0049] Cl, = E[C( )- C(P x )] x At, (2) 11
[0050] Among them, C(P) is the generation cost function of unit K, pk is the output
of unit K, a, b,c are the undetermined parameters of generating cost function of unit
K, C,, is the unit efficiency loss cost of deep peak regulation unit K, 1 is the
actual average output of deep peak regulation unit K in the period of deep peak
regulation Ati, Pm is the installed capacity of unit K, and 20 is the benchmark of deep
peak load rate;
[0051] ®The purpose of deep peak regulation unit is to track the peak valley change
of load, reduce the unit output, and adjust the unit output according to a certain speed.
Deep peak load regulation units lose the opportunity to participate in electricity
trading, resulting in loss of revenue, that is, opportunity cost. Calculate the opportunity
cost of deep peak load regulation unit. The calculation formula is as follows:
[0052]C",= {[oxp,-C(')[ - x p,-C(P )1 x At (3)
[0053] ,Amongthem, C, is the opportunity cost of the deep peak regulation unit K,
Piois the original planned average outut of the deep peak regulation unit K in the deep
peak regulation period Ati, pe is the on grid price, and P is the actual average output of
the deep peak regulation unit K in the deep peak regulation period Ati;
[0054] (The calculation formula for calculating the cost of deep peak shaving unit is as
follows:
[0055 ] C(,, = C) +C (
[0056] Among them, Cier is the cost of deep peak shaving unit K
[0057] As shown in Fig. 2, thermal power units undertaking peak load regulation
service in step 2 shall receive compensation income from peak load regulation auxiliary
service; nuclear power unit, wind turbine unit and thermal power unit failing to fulfill
peak load regulation obligation shall jointly participate in sharing the cost of peak
shaving auxiliary service
[0058] (The calculation formula for calculating the compensation income of the
thermal power peak regulation unit is as follows:
[0059] I =Ck (5)
[0060] Among them, R, is the compensation income of thermal power peak regulation
unit K
[0061] (The calculation formula for calculating the apportioned cost of nuclear power
unit is as follows:
[0062] EsE ',-E x (6)
kf nxxed k
[0063] C x R. __ EW f d + 1fixed+Z E, iEJId k=A k=j k=1k
[0064] Among them, is the correcte power generation ot nuclear power unit K, E,
is the actual generation capacity of nuclear power unit K, Eo is the rated generating
capacity of nuclear power unit K, is the shared cost of nuclear power unit K, and
E,', is the corrected generation capacity of wind turbine unit K, Ej" isthecorrected
generating capacity of thermal power unit K which fails to fulfill the duty of peak regulation,
mn is the number of nuclear power units participating in peak shaving cost allocation, mw-1
is the number of wind turbine units participating in peak load regulation cost allocation, mt,1
is the number of thermal power units participating in peak shaving cost allocation, and mt,
is the number of thermal power units receiving peak shaving cost compensation;
[0065] @The calculation formula for calculating the apportioned cost of wind turbine
is as follows:
[0066] EAI, =Eftxe (8)
[0067] E (k) C , kE wX-+,+fixed~ x Rkk. E,, + E + IEl h=Ik=1 k=1
[0068] Among them, E, is the actual power generation of wind turbine unit,K, 4 is the
generation capacity correction factor of wind turbine unit K, andC,,- is the shared
cost of wind turbine unit K;
[0069] @The calculation formula is as follows to calculate the shared cost of thermal
power units that fail to fulfill the duty of peak load regulation:
3
[0070] Ekx= (E kXk) (10) j=1
[0071] C Z=+E d "Rx
k=1 k=1 k=1
[0072] Among them, the actual generating capacity of thermal power units failing to
fulfill the duty of peak load regulation is classified according to different load rate
intervals. The electricity quantity with average load rate higher than X0 but less than 70%
is E0 ,the electricity quantity with average load rate between 70% and 80% is E,2 , and
the electricity quantity with average load rate higher than 80% is Kl, K2 and K3, which
are the power correction coefficients of E , E E E.3 respectively, C , isthe
shared cost of thermal power unit K which fails to fulfill the duty of peak load regulation.
[0073] The invention is further described in combination with specific implementation
cases.
[0074] Taking a simple power system including four thermal power units, one nuclear
power unit and two typhoon generators as an example, the rationality and effectiveness of the invention are illustrated. The installed capacity of thermal power units, nuclear power units and wind turbines is shown in Table 1.
[0075] Installed capacity of each unit in Table 1
[0076] Nuclear Wind Thermal .power turbine power unit nit unit Unit type
Thermal Thermal Thermal Thermal Nuclear Wind turbine Wind turbine power power power power power unit 1 unit 2 unit 1 unit 2 unit 3 unit 4 unit
Installed capacity 1000 1000 330 660 1080 150 90 (MW)
[0077] As shown in Figure 3, the daily load curve of the power system on a certain day,
the average load rate of each generating unit, and the compensation unit or apportionment
unit of peak load regulation auxiliary service cost are shown in Table 2.
[0078] Table 2 average load rate of each unit in the system and compensation allocation
of auxiliary service cost of peak load regulation.
[0079]
Nuclear power Thermal unit Wind power unit turbineunit Unit type
Thermal Thermal Thermal Nuclear Wind Wind Thermal power unit power unit Power power turbine turbine power unit unit unit -unit -unit
Group 1 Group 1 Group2 Group 1 Group 2 Group 3 Group 4
[0080] Average load rate(%) 65.78% 43.92% 55.40% 50.31% 96.53% 24.51% 22.73%
Compensation and allocation Cost Cost Cost Cost Cost Cost Cost ofpeak sharing compensation sharing compensation sharing sharing sharing shaving unit unit unit unit unit unit unit auxiliary service cost
[0081] According to the daily output of thermal power unit 2 and thermal power unit 4,
based on the calculation method of deep peak shaving cost in step 1, it is calculated that
the cost of deep peak shaving obtained by thermal power unit 2 is 986200 yuan, the cost
compensation of average unit electricity is 248 yuan / MWh, the cost compensation of
deep peak shaving of thermal power unit 4 is 304800 yuan, and the cost compensation of
average unit electricity is 220 yuan / MWh.
[0082] Based on the calculation method of deep peak shaving cost in step 2, the revised
generation capacity of thermal power unit 1, thermal power unit 3, nuclear power unit 1,
wind turbine unit 1 and wind turbine unit 2 is calculated. Then, according to the
proportion of the corrected generation of each generating unit, the cost sharing amount of
peak shaving auxiliary service of each generating unit and the cost increase of unit
generating capacity are calculated, as shown in Table 3.
[0083] Table 3 revised generation capacity, cost allocation of peak load regulation
auxiliary service and cost increase of unit generating capacity for each generating unit
[0084]
Power Corrected Percentage of Cost allocation of Cost increase of generation generation corrected peak load regulation unit power (MWh) (MWh) power auxiliary service generation (yuan/ generation (ten thousand yuan) MWh) Unit type (%>
Thermal power 15787 6714 32.35% 41.77 0.026 unit 1 Thermal power 4388 862 4.16% 5.37 0.012 unit 3 Nuclear power 25021 11802 56,87% 73.43 0.029 unit 1 Wind turbine 1 882 882 4.25% 5.49 0.062 Wind turbine 2 491 491 2.37% 3.05 0.062
[0085] As shown in Fig. 4, the changes of each generating unit under the original peak load
regulation auxiliary service cost compensation allocation method and the compensation
allocation method proposed by the invention. According to the comparison results, the
compensation and allocation method of peak load regulation auxiliary service cost
proposed in the invention can more reasonably realize the sharing of power system peak
shaving auxiliary service rights and responsibilities and costs in different generating units.
[0086] Finally, it should be pointed out that the above embodiments are only used to
illustrate the technical solution of the invention, not to restrict it. Although the present
invention has been described in detail with reference to the above-mentioned
embodiments, those skilled in the art should understand that it can still modify the
technical solutions recorded in the above-mentioned embodiments, or replace some of
the technical features equally; and these modifications or substitutions do not make the
essence of the corresponding technical solutions separate from the technical solutions of
the embodiments of the invention Spirit and scope.
Claims (3)
1. A method for calculating the compensation and apportionment ofthe peak shaving auxiliary service cost
includes the following steps:
Step 1: calculate the deep peak shaving cost ofthe deep peak shaving unit, which includes the unit
efficiency loss cost and opportunity cost, and calculates the unit efficiency loss cost and opportunity cost
caused by the deep peak shaving unit participating inthe peak shaving auxiliary service;
The first step comprises the following contents:
In the trough period, the load rate of the deep peak regulation unit is very low. At this time, the
consumption of the deep peak regulation unit will be higher than that under the stable condition. The
generation efficiency of the deep peak regulation unit will be reduced and the operation cost will be
increased. The calculation formula of the unit efficiency loss cost of the deep peak regulation unit is as
follows:
C1, c= C( -C {(P,, x )x Ati =[C(Pi)C(mX]Xt(2 2) i=1
C(Pk)= ax(Pk) 2+bxPk+c (1)
Among them, C(Pk) is the generation cost function of deep peak regulation unit K, pk is the
output of deep peak regulation unit K, and a, b, c are the undetermined parameters of
generation cost function of deep peak regulation unit K. C is the unit efficiency loss cost
of deep peak regulation unit K, Pik is the actual average output of deep peak regulation unit
K in the period of deep peak regulation Ati, Pm is the installed capacity of deep peak
regulation unit K, and kis the benchmark of deep peak load rate.
C", =OxC ;o) iF; x p,- C P xt (3) The opportunity cost of deep peak regulation unit is calculated, and the formula for
calculating the opportunity cost of deep peak regulation unit is as follows:
Among them, p is the opportunity cost of the deep peak regulation unit K, 6 is the
original planned average output of the deep peak regulation unit K in the deep peak
regulation period Ati, pe is the on grid price, and Pik is the actual average output of the deep
peak regulation unit K in the deep peak shaving period Ati
Cep Coss +C (4) The calculation formula for calculating the cost of deep peak shaving unit is as follows:
Among them, C;, is the cost of deep peak shaving for unit K
Step 2: calculate the compensation income ofpeak load regulating units and the shared cost of non
peak load regulating units, respectively calculate the compensation benefits of thermal power peaking
units, and the shared costs of nuclear power units, wind power units and thermal power non peak load
regulating units that fail to fulfill the peak load regulation obligations.
2. The method for calculating the compensation and apportionment ofthe peak shaving auxiliary service cost
according to claim 1, which is chaactenzed in that the second step comprises the following contents:
Rk rCk(5 R,,, =- , (d5e) The calculation formula for calculating the compensation income of the thermal
power peak regulation unit is as follows:
Among them, Rfc is the compensation income of thermal power peak regulation unit K
Ek _n,Dixed x R 'share,n EkZRZk M- m mRcom (7) _f+ + Efte k=1 k=1 k=)
The calculation formula for calculating the apportioned cost of nuclear power unit is
as follows:
Among them, E,',,,,d is the corrected power generation of nuclear power unit K, Ek is the
actual power generation capacity of nuclear power unit K, E is the rated generating capacity
of nuclear power unit K, CKaren is the sharing cost of nuclear power unit K, E,_;,p'.g is the
revised generation capacity of wind turbine unit K, E,d is the corrected power generation of
thermal power unit K which fails to fulfill the peak load regulation obligation, and mn is the
nuclear power participating in peak load regulation cost allocation, mw-1 is the number of wind
turbine units participating in peak load regulation cost allocation, mt, is the number of thermal
power units participating in peak load regulation cost allocation, and mt 2 is the number of
thermal power units receiving peak shaving cost compensation
Ek,_ p k= x (8) C*W j '" EE -E,*_,
Ied±fixed ~e slhare,w-l MA k k Xk1 coml 9 k=1 k=1 k=1 The calculation formula for calculating the apportioned cost of wind turbine is as
follows:
Among them, E-, is the actual power generation of wind turbine unit K, 4 is the correction
Ck factor of wind turbine power generation, and share,w-l is the sharing cost of wind turbine
unit K;
3 Eflx,,=$E,,jx kj) (10) j=1 Ck M,2
share,-t mn com,
n,fixed L_ + Eted k=1 k=1 k=1 The calculation formula is as follows to calculate the shared cost of thermal power
units that fail to fulfil the duty of peak load regulation:
Among them, the actual generating capacity of thermal power units failing to fulfill the duty
of peak load regulation is classified according to different load rate intervals. The electricity
quantity with average load rate higher than M but less than 70% is Ei, the power quantity
with average load rate between 70% and 80% is , the power quantity with average load
rate higher than 80% ist3 , nd K2 and K3 are the power correction coefficients of
respectively, Cs aret is the shared cost of thermal power unit K which fails to fulfill the duty
of peak regulation.
-1/4- 2020101665
Compensatio n income of Thermal power peak load Peak load regulation regulation unit unit
Unit efficiency loss cost Step 1: Step 2: calculate the calculate the compensation income of peak cost of deep load regulation units and the Nuclear power unit opportunity cost peak shaving shared cost of non peak load
Cost sharing of non peak Wind turbine load regulation units Thermal power units failing to fulfill the duty of peak load regulation
Figure 1
-2/4-
Share of electricity to share the cost of peak shaving auxiliary service
Power generation 2020101665
Load rate benchmark of deep peak load
Thermal Thermal Thermal Thermal Nuclear Wind power power power power power turbine unit A unit B unit C unit D unit unit
Figure 2
-3/4-
Thermal power Thermal power Thermal power unit 1 unit 2 unit 3 Thermal power Nuclear Wind unit 4 power unit turbine unit 1 Wind turbine unit 2
Unit output 2020101665
(MW)
Time
Figure 3
-4/4-
Original compensation / apportionment Compensation / apportionment amount (ten thousand yuan)
Current compensation / contribution 2020101665
Thermal Thermal Thermal Thermal Nuclear Wind turbine Wind turbine power unit 1 power unit 2 power unit power unit 4 power unit unit 1 unit 2 3
Unit type
Figure 4
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2020101665A AU2020101665A4 (en) | 2020-08-04 | 2020-08-04 | A compensation cost allocation method for auxiliary service of peak load regulation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2020101665A AU2020101665A4 (en) | 2020-08-04 | 2020-08-04 | A compensation cost allocation method for auxiliary service of peak load regulation |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| AU2020101665A4 true AU2020101665A4 (en) | 2020-09-10 |
Family
ID=72333671
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| AU2020101665A Active AU2020101665A4 (en) | 2020-08-04 | 2020-08-04 | A compensation cost allocation method for auxiliary service of peak load regulation |
Country Status (1)
| Country | Link |
|---|---|
| AU (1) | AU2020101665A4 (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112185602A (en) * | 2020-09-15 | 2021-01-05 | 岭东核电有限公司 | Method and device for shutting down nuclear power station standby unit, terminal equipment and storage medium |
| CN112418614A (en) * | 2020-11-04 | 2021-02-26 | 华北电力大学 | Method and system for determining adjustability resource construction scheme of power system |
| CN112510709A (en) * | 2020-12-23 | 2021-03-16 | 国家能源集团乐东发电有限公司 | Thermal power generating unit peak regulation cost and marginal contribution calculation system and method |
| CN112993992A (en) * | 2021-03-09 | 2021-06-18 | 国网浙江省电力有限公司电力科学研究院 | Energy storage auxiliary peak shaving operation optimization method based on peak shaving parameter flexible grading |
| CN113036815A (en) * | 2021-05-11 | 2021-06-25 | 国网湖南省电力有限公司 | Power grid peak regulation method suitable for multiple types of users |
| CN113313385A (en) * | 2021-05-31 | 2021-08-27 | 国网内蒙古东部电力有限公司 | Power grid additional cost evaluation method considering multiple power supply grid-connected risks |
| CN113780742A (en) * | 2021-08-13 | 2021-12-10 | 华电山东能源销售有限公司 | Computing method for flexibility improvement economy of power generation unit in auxiliary service market environment |
| CN114172180A (en) * | 2021-11-25 | 2022-03-11 | 国网福建省电力有限公司电力科学研究院 | Battery energy storage participating peak regulation double-layer rolling optimization control method considering degradation cost |
| CN114977235A (en) * | 2022-06-24 | 2022-08-30 | 河海大学 | Multi-energy power optimization scheduling method and system based on variable-speed pumped storage |
| CN115400864A (en) * | 2021-05-28 | 2022-11-29 | 北京京能电力股份有限公司 | Method for automatically judging automatic start-stop time of coal mill of peaking-adjusting thermal power generating unit |
| CN116995659A (en) * | 2023-07-25 | 2023-11-03 | 中国建筑科学研究院有限公司 | Flexible operation method of heat pump system considering renewable energy source consumption |
-
2020
- 2020-08-04 AU AU2020101665A patent/AU2020101665A4/en active Active
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112185602A (en) * | 2020-09-15 | 2021-01-05 | 岭东核电有限公司 | Method and device for shutting down nuclear power station standby unit, terminal equipment and storage medium |
| CN112185602B (en) * | 2020-09-15 | 2023-12-08 | 岭东核电有限公司 | Method and device for nuclear power station standby unit, terminal equipment and storage medium |
| CN112418614A (en) * | 2020-11-04 | 2021-02-26 | 华北电力大学 | Method and system for determining adjustability resource construction scheme of power system |
| CN112418614B (en) * | 2020-11-04 | 2024-01-30 | 华北电力大学 | Method and system for determining adjustable resource construction scheme of power system |
| CN112510709A (en) * | 2020-12-23 | 2021-03-16 | 国家能源集团乐东发电有限公司 | Thermal power generating unit peak regulation cost and marginal contribution calculation system and method |
| CN112993992B (en) * | 2021-03-09 | 2022-07-12 | 国网浙江省电力有限公司电力科学研究院 | Energy storage auxiliary peak shaving operation optimization method based on peak shaving parameter flexible grading |
| CN112993992A (en) * | 2021-03-09 | 2021-06-18 | 国网浙江省电力有限公司电力科学研究院 | Energy storage auxiliary peak shaving operation optimization method based on peak shaving parameter flexible grading |
| CN113036815A (en) * | 2021-05-11 | 2021-06-25 | 国网湖南省电力有限公司 | Power grid peak regulation method suitable for multiple types of users |
| CN115400864A (en) * | 2021-05-28 | 2022-11-29 | 北京京能电力股份有限公司 | Method for automatically judging automatic start-stop time of coal mill of peaking-adjusting thermal power generating unit |
| CN113313385A (en) * | 2021-05-31 | 2021-08-27 | 国网内蒙古东部电力有限公司 | Power grid additional cost evaluation method considering multiple power supply grid-connected risks |
| CN113313385B (en) * | 2021-05-31 | 2024-04-16 | 国网内蒙古东部电力有限公司 | Power grid additional cost evaluation method considering multi-kind power grid connection risk |
| CN113780742A (en) * | 2021-08-13 | 2021-12-10 | 华电山东能源销售有限公司 | Computing method for flexibility improvement economy of power generation unit in auxiliary service market environment |
| CN113780742B (en) * | 2021-08-13 | 2024-06-07 | 华电山东能源销售有限公司 | Method for calculating flexibility transformation economy of generator set in auxiliary service market environment |
| CN114172180A (en) * | 2021-11-25 | 2022-03-11 | 国网福建省电力有限公司电力科学研究院 | Battery energy storage participating peak regulation double-layer rolling optimization control method considering degradation cost |
| CN114172180B (en) * | 2021-11-25 | 2024-04-05 | 国网福建省电力有限公司电力科学研究院 | Battery energy storage participation peak shaving double-layer rolling optimization control method considering degradation cost |
| CN114977235A (en) * | 2022-06-24 | 2022-08-30 | 河海大学 | Multi-energy power optimization scheduling method and system based on variable-speed pumped storage |
| CN114977235B (en) * | 2022-06-24 | 2023-11-03 | 河海大学 | Multi-energy power optimal scheduling method and system based on variable-speed pumped storage |
| CN116995659A (en) * | 2023-07-25 | 2023-11-03 | 中国建筑科学研究院有限公司 | Flexible operation method of heat pump system considering renewable energy source consumption |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| AU2020101665A4 (en) | A compensation cost allocation method for auxiliary service of peak load regulation | |
| CN108123492B (en) | A kind of generation schedule optimization method a few days ago considering thermoelectricity electric heat storage combined adjusting peak | |
| CN108539731B (en) | Compensation and allocation calculation method for peak regulation auxiliary service cost | |
| CN104951899A (en) | Multi-time-scale optimal scheduling method for power distribution company containing large-scale renewable energy sources | |
| CN104638772A (en) | Battery energy storage power station energy management method based on wind power prediction | |
| Reed et al. | Analysis of high capacity power electronic technologies for integration of green energy management | |
| CN108336764A (en) | A kind of extensive wind-light-electricity extra-high voltage alternating current-direct current sending peak regulation control method | |
| Omer et al. | Indian power system: Issues and Opportunities | |
| CN110415139B (en) | Heat storage capacity configuration method considering peak shaving cost for thermal power generating unit containing heat storage | |
| CN112531786A (en) | Regional power grid power delivery method | |
| Battaglini et al. | The SuperSmart Grid–paving the way for a completely renewable power system | |
| CN107257144A (en) | Generating set reactive comprehensive cost model | |
| Ghiani et al. | Increasing the flexible use of hydro pumping storage for maximizing the exploitation of RES in Sardinia | |
| Chowdhury et al. | Role of grid integration of distributed generation in power quality enhancement: A review | |
| Eggleston et al. | System non-synchronous penetration (SNSP) metric and potential alternatives in low-carbon grids | |
| Hering et al. | Optimal scheduling of a pumped-storage hydro power plant operation | |
| Feng et al. | Optimal configuration of energy storage for distributed photovoltaic generation | |
| CN110943492B (en) | Power generation control method for pumped storage unit for stabilizing fluctuation of photovoltaic output | |
| Gu et al. | Pricing decision-making for interruptible load participating in day-ahead electricity and reserve markets | |
| Wiernes et al. | Joint strategic planning of generation and transmission network | |
| CN113890107B (en) | Method and system for determining adjustment capacity by considering peak load new energy contribution rate | |
| Kalaivani et al. | Review of Hybrid Microgrid Power Management Using Renewable Energy Sources | |
| Song et al. | No-Fluctuation Wind Power Grid-Connection Aided by Pumped Storage | |
| Li et al. | Economic Research on Energy Storage Participation in Auxiliary Service under the Background of New Power System | |
| Xiaofei et al. | Research on the quantitative evaluation method of wind power and photovoltaic power curtailment in real-time market transactions |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| FGI | Letters patent sealed or granted (innovation patent) |