CN105447599B - Heat-storage cogeneration unit and electric boiler-based abandoned wind elimination coordination scheduling model - Google Patents
Heat-storage cogeneration unit and electric boiler-based abandoned wind elimination coordination scheduling model Download PDFInfo
- Publication number
- CN105447599B CN105447599B CN201510851984.9A CN201510851984A CN105447599B CN 105447599 B CN105447599 B CN 105447599B CN 201510851984 A CN201510851984 A CN 201510851984A CN 105447599 B CN105447599 B CN 105447599B
- Authority
- CN
- China
- Prior art keywords
- heat
- power
- wind
- unit
- electric boiler
- 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.)
- Expired - Fee Related
Links
- 238000005338 heat storage Methods 0.000 title claims abstract description 114
- 230000008030 elimination Effects 0.000 title description 2
- 238000003379 elimination reaction Methods 0.000 title description 2
- 238000010521 absorption reaction Methods 0.000 claims abstract description 32
- 239000002699 waste material Substances 0.000 claims abstract description 32
- 230000005611 electricity Effects 0.000 claims abstract description 14
- 238000004364 calculation method Methods 0.000 claims abstract description 9
- 238000010438 heat treatment Methods 0.000 claims description 21
- 239000003245 coal Substances 0.000 claims description 16
- 238000010248 power generation Methods 0.000 claims description 13
- 238000005457 optimization Methods 0.000 claims description 9
- 230000004308 accommodation Effects 0.000 claims description 8
- 238000000034 method Methods 0.000 claims description 7
- 238000003860 storage Methods 0.000 claims description 7
- 230000009467 reduction Effects 0.000 claims description 6
- 230000009471 action Effects 0.000 claims description 5
- 238000006243 chemical reaction Methods 0.000 claims description 5
- 230000000694 effects Effects 0.000 claims description 5
- 238000007599 discharging Methods 0.000 claims description 4
- 238000013178 mathematical model Methods 0.000 claims description 4
- 230000009194 climbing Effects 0.000 claims description 3
- 230000008569 process Effects 0.000 claims description 3
- 230000006870 function Effects 0.000 description 11
- 238000010586 diagram Methods 0.000 description 8
- 238000004088 simulation Methods 0.000 description 3
- 101100511176 Caenorhabditis elegans lim-6 gene Proteins 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000005265 energy consumption Methods 0.000 description 2
- 230000002068 genetic effect Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000005094 computer simulation Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000005485 electric heating Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000005477 standard model Effects 0.000 description 1
Images
Classifications
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Water Supply & Treatment (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Wind Motors (AREA)
Abstract
The invention relates to a waste wind consumption coordination scheduling model based on a heat storage cogeneration unit and an electric boiler, which is characterized in that on the basis of analyzing the working principle of the heat storage cogeneration unit, the calculation of the heat supply capacity of the electric boiler for maximally consuming the waste wind electricity is provided, and the different working modes of a heat storage device and the economical efficiency of the heat storage cogeneration unit and the electric boiler during coordination heat supply are compared. The calculation result shows that the heat supply of the electric boiler has the best economical efficiency when the abandoned wind is absorbed to the utmost extent. The invention can further expand the power grid wind curtailment and absorption space, save the dispatching cost and provide scientific basis for the power grid dispatching department to make day-ahead dispatching plans.
Description
Technical Field
The invention relates to the field of wind power networking coordination control, in particular to a wind curtailment consumption coordination scheduling model based on a heat storage cogeneration unit and an electric boiler.
Background
At present, the main contradiction faced by the wind power development in China is still the problem of wind abandoning and electricity limiting. The problem of huge air volume abandon in the heating period in winter in the northeast, northwest and northwest areas, called three north areas for short, is particularly prominent and has become the focus of social attention. On one hand, the wind energy resources in the three north area are abundant, but the energy consumption is insufficient, and meanwhile, the wind power is limited by a transmission channel of a power grid, so that the wind power is difficult to deliver. On the other hand, in order to meet the requirement of heat load in winter, the production mode of the cogeneration unit for fixing the power by heat further compresses the wind power on-line space, and is another main reason for wind abandon.
Wind power in China is mostly large centralized units, the large centralized units are usually far away from a load center, the wind abandoning phenomenon is very serious, and the effect of improving the wind abandoning capacity of a system by independently utilizing a heat storage device or an electric boiler is limited.
The scale of foreign power grids is small, distributed energy is mostly consumed on the spot, a large amount of abandoned wind is less, and even if abandoned wind occurs, the independent action of a heat storage device or an electric boiler can be eliminated. In fact, under the lead of real-time electricity prices, in many countries in europe such as germany, denmark, etc., many thermoelectric power plants have or are considering configuring heat storage devices to decouple the "fix a power by heat" constraint to profit in the electricity market environment by increasing their operational flexibility and peak shaving capabilities.
The foreign research on wind power heat supply technology is mature, but the main energy conversion media of the energy conversion media are a centralized type, a large-capacity heat storage system, a heat pump, an electric boiler and the like. In addition, the energy interconnection system has important significance for improving the system regulation capacity, expanding the wind power internet space and solving the problem of wind abandonment, so the research on the energy comprehensive integration system is earlier developed abroad.
In summary, the future electric power system will be closely combined with the thermal system and other systems to form an energy interconnection system with multi-level scheduling contents, and how to coordinate and control each unit in the energy system such as the electric heating integrated system and the like, so as to reduce energy loss and waste to obtain the best economy is a topic worth of research.
Disclosure of Invention
The invention aims to solve the technical problem of providing a waste wind consumption coordination scheduling model based on a heat storage cogeneration unit and an electric boiler, which is based on a heat storage cogeneration unit and the electric boiler, coordinates heat supply of the heat storage cogeneration unit and the electric boiler by calculating the heat supply of the electric boiler with the maximum consumption waste wind quantity, further expands the waste wind consumption space of a power grid, saves the scheduling cost, and can provide scientific basis for a power grid scheduling department to make a day-ahead scheduling plan.
The technical scheme for solving the technical problem is as follows: a abandoned wind consumption coordination scheduling model based on a heat-storage cogeneration unit and an electric boiler is characterized by comprising the following contents:
1) space mathematical model for wind curtailment and absorption
When the heat-storage cogeneration unit and the electric boiler coordinate to supply heat, the heat-storage cogeneration unit and the electric boiler respectively generate certain absorption and abandoned air spaces:
wherein: pw.h.tRepresenting the abandoned wind power of the system only containing the cogeneration unit during heat supply at the time t;
Pw0.trepresenting the abandoned wind power when the system only containing the cogeneration unit does not supply heat at the time t;
ΔPw.h.trepresenting that only a waste wind absorption space generated by heat supply of the cogeneration unit system is contained at the moment t;
ΔPw.echrepresenting a waste wind absorption space when heat-storage cogeneration and an electric boiler coordinate to supply heat;
ΔPw.chrepresenting a waste wind absorption space generated by the heat-storage cogeneration unit;
ΔPEBrepresenting a waste wind absorption space generated by the electric boiler;
the total heat supply load of the heat and power cogeneration unit is large in winter, and for a system comprising a single electric boiler and the heat and power cogeneration unit, the waste wind absorption space generated when the heat storage heat and power cogeneration unit supplies heat is expressed as the heat supply load P of the electric boilerH.eFunction of (c):
wherein: cmThe elastic coefficient is the back pressure working condition elastic coefficient of the cogeneration unit;
Cvthe electric power reduction value is the electric power reduction value when the unit steam quantity is extracted under the fixed steam quantity;
PH.esupplying heat power to the electric boiler;
Ph.cmaxthe maximum heat storage power of the heat storage device;
Pe.maxthe maximum electric output when the unit does not supply heat;
Pe.minminimum power output when the unit does not supply heat;
Phe1.maxthe heat supply power is the heat supply power when the unit works under the back pressure working condition under the maximum steam inlet quantity;
Phe2.maxthe heat supply power is the heat supply power when the unit works under the back pressure working condition under the minimum steam inlet quantity;
Phzis the total heating load;
abandoned wind absorption space delta P generated by electric boilerEBExpressed as:
ΔPEB＝(1/β)·PH.e(3)
wherein: beta is the electric heat conversion efficiency of the electric boiler, 0.99 is selected,
the abandoned wind power when the system only containing the cogeneration unit does not supply heat is expressed as follows:
wherein: n is the total number of conventional thermal power generating units;
r is the total number of the cogeneration units;
k is the number of the wind turbine generators;
the minimum electric output value of the ith unit at the moment t is the electric output value of the cogeneration unit when heat is not supplied;
PL.tload prediction value at the moment t of the system;
the abandoned wind generated when the system only comprises the cogeneration unit supplies heat consumes the space:
2) electric boiler heating power capable of eliminating abandoned wind to the utmost extent
When the system completely consumes the abandoned wind power generated only by the cogeneration unit during heat supply under the combined action of the heat-storage cogeneration unit and the electric boiler, the purposes of heat supply and optimal economy can be simultaneously achieved:
Pw.h.t＝ΔPw.ech(6)
the calculation formula of the heat supply power of the electric boiler for obtaining the limit absorption abandoned wind is as follows:
PH.e.lim＝(Pw0.t-Cv·Phe2.max)·β (7)
that is, in a certain total heat supply range, the heat supply quantity of the electric boiler which completely consumes the abandoned wind is only equal to Pw0.t、Cv、Phe2.maxBeta is related to the total heat supply load of the system, and the most appropriate electric boiler capacity is arranged according to the power grid structure on the basis of analyzing the wind power resource characteristics and the load characteristics of the power grid when an electric boiler project is planned and constructed according to the principle so as to achieve the aim of optimal economy;
3) wind curtailment and accommodation coordinated scheduling modeling
a) Objective function
The economic dispatching of the power system containing wind power usually takes the minimum power generation cost of the system as a dispatching target, and adds the wind abandoning cost in the cost for checking the effect of the heat storage device and the electric boiler on the consumption of the wind abandoning power, so that the objective function of the wind abandoning and coordination dispatching model is as follows:
min(F1(Pi)+F2(Perl.i,Ph.i,Pcr.i)+λ·PW.qf) (8)
wherein: f1The power generation cost function of the conventional thermal power generating unit;
F2is a power generation cost function of the cogeneration unit;
Ph.iis the total heating power;
Perl.ithe electric output of the ith cogeneration unit,
Pcr.iStoring and releasing heat power of a heat storage device of the ith cogeneration unit;
Pw.qfthe wind power of the system is abandoned;
lambda is the cost coefficient of the waste wind;
the power generation cost of the thermal power generating unit comprises coal consumption cost and start-stop cost,
wherein: a isi、bi、ciA quadratic fitting coefficient of the coal consumption cost of the conventional unit;
t is the total number of scheduling time periods, and 24 is taken;
Pi.trepresenting the electric output of the conventional unit i at the time t;
ui.tthe starting and stopping states of the unit i at the moment t are shown, and 1 and 0 respectively show operation and shutdown;
Sithe starting cost of the unit i is calculated;
because cogeneration undertakes the heat supply task, the shutdown condition can not appear, so its cost of electricity generation only includes the coal consumption cost, according to the electric heat operating characteristics who contains heat-retaining cogeneration unit, its coal consumption cost of a certain moment is after the unit rejects heat supply capacity of heat-retaining device, converts electricity, hot output into the electric power under the pure condition:
wherein: a isi、bi、ciFor the coal consumption cost coefficient of the cogeneration unit,
when the electric output of the cogeneration is not changed, different heat charging and discharging plans and different heat-storing cogeneration heat supply powers can generate different costs, the heat is supplied by the cogeneration unit at a non-wind abandoning moment, and the electricity boiler is accessed to consume the wind abandoning at the wind abandoning moment, so that two optimization sub-problems exist under the scheduling optimization main problem: an optimal heat storage and release planning subproblem and an optimal electric boiler heat supply proportion subproblem,
the optimal heat storage and discharge plan sub-problem can be given to the heat supply proportion P of a certain electric boilerh.i.stemAnd then, when each node of the main problem of the outer layer scheduling optimization, namely the electric output of all the units is given, the optimal heat storage and release plan under the condition is obtained:
b) constraint conditions
The curtailment wind absorption dispatching model for coordinating heat supply considers the constraint conditions of the thermodynamic system, including the constraint of a heat supply balance equation and the constraint of the operation of a heat storage device, besides the traditional constraint conditions of the electric power system, such as the constraint of load balance, the constraint of unit output, the constraint of unit climbing, the constraint of unit starting and shutdown, the constraint of positive and negative rotation standby and the like,
and (3) heat supply balance constraint:
wherein:the heating power of the electric boiler at the time t is provided;
Phz.tfor the thermal load at the time t,
and (3) operation constraint of the heat storage device:
in the formula:
the heat storage quantity of the ith heat storage device at the time t is shown;
Si.maxindicating the heat storage capacity of the ith heat storage device;
4) curtailment and accommodation coordination scheduling model solution
The electric output of the cogeneration unit is a function of the heat output of the cogeneration unit, and if the heat load changes, the constraint condition of the electric output of the cogeneration unit in the main economic dispatching problem changes, so that the constraint condition cannot be solved by simple planning software such as gurobi and the like, and therefore, a certain element in a heat supply proportion set of an electric boiler
Firstly, randomly generating an initial population of an economic dispatching problem, modifying elements of each individual through a correction process, and returning fitness and a relatively optimal heat storage and release plan; then continuously iterating to obtain the most economic dispatching plan under the heat supply proportion to form an optimal plan set corresponding to the heat supply proportion set; and finally, obtaining the optimal heat supply proportion of the electric boiler and the most economic dispatching plan result.
According to the waste wind consumption coordination scheduling model based on the heat storage cogeneration unit and the electric boiler, the heat supply of the heat storage cogeneration unit and the electric boiler is coordinated by calculating the heat supply quantity of the electric boiler which can maximally consume the waste wind quantity, so that the waste wind consumption space of a power grid is further expanded, the scheduling cost is saved, and a scientific basis can be provided for a power grid scheduling department to make a day-ahead scheduling plan.
Drawings
FIG. 1 is a schematic diagram of a coordinated heating integrated system;
FIG. 2 is a logical relationship diagram of the model solution;
FIG. 3 is a flow chart of the solution of individual fitness of the main problem of the present invention;
FIG. 4 is a flow chart of the economic dispatch main problem of the present invention;
FIG. 5 is a schematic diagram of the economic cost convergence characteristics under three different heating modes;
FIG. 6 is a schematic view of a wind curtailment characteristic curve in three different heating modes;
fig. 7 is a schematic diagram illustrating a variation curve of the heat storage amount of the heat storage device in the manner 2;
FIG. 8 is a schematic diagram of a variation curve of the heat storage amount of the heat storage device in the mode 3 with the optimal electric boiler heat supply ratio;
FIG. 9 is a graph of the heat supply ratio of the electric boiler and the total scheduling cost.
Detailed Description
The invention further describes a waste wind absorption coordination scheduling model based on a heat storage cogeneration unit and an electric boiler by using drawings and embodiments.
The invention relates to a waste wind consumption coordination scheduling model based on a heat storage cogeneration unit and an electric boiler, which comprises the following contents:
1) space mathematical model for wind curtailment and absorption
When the heat-storage cogeneration unit and the electric boiler coordinate to supply heat, the heat-storage cogeneration unit and the electric boiler respectively generate certain absorption and abandoned air spaces:
wherein: pw.h.tRepresenting the abandoned wind power of the system only containing the cogeneration unit during heat supply at the time t;
Pw0.trepresenting the abandoned wind power when the system only containing the cogeneration unit does not supply heat at the time t;
ΔPw.h.trepresenting that only a waste wind absorption space generated by heat supply of the cogeneration unit system is contained at the moment t;
ΔPw.echrepresenting a waste wind absorption space when heat-storage cogeneration and an electric boiler coordinate to supply heat;
ΔPw.chrepresenting a waste wind absorption space generated by the heat-storage cogeneration unit;
ΔPEBrepresenting a waste wind absorption space generated by the electric boiler;
the total heat supply load of the heat and power cogeneration unit is large in winter, and for a system comprising a single electric boiler and the heat and power cogeneration unit, the waste wind absorption space generated when the heat storage heat and power cogeneration unit supplies heat is expressed as the heat supply load P of the electric boilerH.eFunction of (c):
wherein: cmThe elastic coefficient is the back pressure working condition elastic coefficient of the cogeneration unit;
Cvthe electric power reduction value is the electric power reduction value when the unit steam quantity is extracted under the fixed steam quantity;
PH.esupplying heat power to the electric boiler;
Ph.cmaxthe maximum heat storage power of the heat storage device;
Pe.maxthe maximum electric output when the unit does not supply heat;
Pe.minminimum power output when the unit does not supply heat;
Phe1.maxthe heat supply power is the heat supply power when the unit works under the back pressure working condition under the maximum steam inlet quantity;
Phe2.maxthe heat supply power is the heat supply power when the unit works under the back pressure working condition under the minimum steam inlet quantity;
Phzis the total heating load;
abandoned wind absorption space delta P generated by electric boilerEBExpressed as:
ΔPEB＝(1/β)·PH.e(3)
wherein: beta is the electric heat conversion efficiency of the electric boiler, 0.99 is selected,
the abandoned wind power when the system only containing the cogeneration unit does not supply heat is expressed as follows:
wherein: n is the total number of conventional thermal power generating units;
r is the total number of the cogeneration units;
k is the number of the wind turbine generators;
PL.tload prediction value at the moment t of the system;
the abandoned wind generated when the system only comprises the cogeneration unit supplies heat consumes the space:
2) electric boiler heating power capable of eliminating abandoned wind to the utmost extent
When the system completely consumes the abandoned wind power generated only by the cogeneration unit during heat supply under the combined action of the heat-storage cogeneration unit and the electric boiler, the purposes of heat supply and optimal economy can be simultaneously achieved:
Pw.h.t＝ΔPw.ech(6)
the calculation formula of the heat supply power of the electric boiler for obtaining the limit absorption abandoned wind is as follows:
PH.e.lim＝(Pw0.t-Cv·Phe2.max)·β (7)
that is, in a certain total heat supply range, the heat supply quantity of the electric boiler which completely consumes the abandoned wind is only equal to Pw0.t、Cv、Phe2.maxBeta is related to the total heat supply load of the system, and the most appropriate electric boiler capacity is arranged according to the power grid structure on the basis of analyzing the wind power resource characteristics and the load characteristics of the power grid when an electric boiler project is planned and constructed according to the principle so as to achieve the aim of optimal economy;
3) wind curtailment and accommodation coordinated scheduling modeling
a) Objective function
The economic dispatching of the power system containing wind power usually takes the minimum power generation cost of the system as a dispatching target, and adds the wind abandoning cost in the cost for checking the effect of the heat storage device and the electric boiler on the consumption of the wind abandoning power, so that the objective function of the wind abandoning and coordination dispatching model is as follows:
min(F1(Pi)+F2(Perl.i,Ph.i,Pcr.i)+λ·PW.qf) (8)
wherein: f1The power generation cost function of the conventional thermal power generating unit;
F2is a power generation cost function of the cogeneration unit;
Ph.iis the total heating power;
Perl.ithe electric output of the ith cogeneration unit,
Pcr.iStoring and releasing heat power of a heat storage device of the ith cogeneration unit;
Pw.qfthe wind power of the system is abandoned;
lambda is the cost coefficient of the waste wind;
the power generation cost of the thermal power generating unit comprises coal consumption cost and start-stop cost,
wherein: a isi、bi、ciA quadratic fitting coefficient of the coal consumption cost of the conventional unit;
Pi.trepresenting the electric output of the conventional unit i at the time t;
ui.tthe starting and stopping states of the unit i at the moment t are shown, and 1 and 0 respectively show operation and shutdown;
Sithe starting cost of the unit i is calculated;
because cogeneration undertakes the heat supply task, the shutdown condition can not appear, so its cost of electricity generation only includes the coal consumption cost, according to the electric heat operating characteristics who contains heat-retaining cogeneration unit, its coal consumption cost of a certain moment is after the unit rejects heat supply capacity of heat-retaining device, converts electricity, hot output into the electric power under the pure condition:
wherein: a isi、bi、ciIs thermoelectricityThe coal consumption cost coefficient of the co-production unit,
when the electric output of the cogeneration is not changed, different heat charging and discharging plans and different heat-storing cogeneration heat supply powers can generate different costs, the heat is supplied by the cogeneration unit at a non-wind abandoning moment, and the electricity boiler is accessed to consume the wind abandoning at the wind abandoning moment, so that two optimization sub-problems exist under the scheduling optimization main problem: an optimal heat storage and release planning subproblem and an optimal electric boiler heat supply proportion subproblem,
the optimal heat storage and discharge plan sub-problem can be given to the heat supply proportion P of a certain electric boilerh.i.stemAnd then, when each node of the main problem of the outer layer scheduling optimization, namely the electric output of all the units is given, the optimal heat storage and release plan under the condition is obtained:
b) constraint conditions
The curtailment wind absorption dispatching model for coordinating heat supply considers the constraint conditions of the thermodynamic system, including the constraint of a heat supply balance equation and the constraint of the operation of a heat storage device, besides the traditional constraint conditions of the electric power system, such as the constraint of load balance, the constraint of unit output, the constraint of unit climbing, the constraint of unit starting and shutdown, the constraint of positive and negative rotation standby and the like,
and (3) heat supply balance constraint:
wherein:
the heating power of the electric boiler at the time t is provided;
the total heat supply power of the heat-storage cogeneration unit is t moment;
Phz.tfor the thermal load at the time t,
and (3) operation constraint of the heat storage device:
in the formula:
the heat storage quantity of the ith heat storage device at the time t is shown;
Si.maxindicating the heat storage capacity of the ith heat storage device;
the storage and heat release power of the ith heat storage device at the time t is shown;
4) curtailment and accommodation coordination scheduling model solution
The electric output of the cogeneration unit is a function of the heat output of the cogeneration unit, and if the heat load changes, the constraint condition of the electric output of the cogeneration unit in the main economic dispatching problem changes, so that the constraint condition cannot be solved by simple planning software such as gurobi and the like, and therefore, a certain element in a heat supply proportion set of an electric boiler
Firstly, randomly generating an initial population of an economic dispatching problem, modifying elements of each individual through a correction process, and returning fitness and a relatively optimal heat storage and release plan; then continuously iterating to obtain the most economic dispatching plan under the heat supply proportion to form an optimal plan set corresponding to the heat supply proportion set; and finally, obtaining the optimal heat supply proportion of the electric boiler and the most economic dispatching plan result.
The specific embodiment of the invention is as follows: based on an IEEE118 node model, the effect of the established wind curtailment coordination scheduling model on further expanding the wind curtailment consumption space of the power grid and saving the scheduling cost is verified through the changes of the wind curtailment energy consumption and scheduling economy of the systems before and after the heat storage device and the electric boiler are added through simulation analysis.
The specific embodiment is as follows:
1 example conditions
1) The predicted value of the grid load is shown in table 1;
2) the parameters of the cogeneration unit are shown in the attached table 2, and the parameters of other units are the same as the parameters of the standard model;
3) the maximum heat charging and discharging power of the heat storage device is 100MW, and the maximum heat storage capacity is 900MW & h;
4) the #25 and #26 units are wind power plants, the installed capacities are 300MW, and the predicted values of the wind power are shown in Table 3.
4) The total heat load is set to be 200 MW;
5) two cogeneration units in the system respectively supply heat to two different areas, the heat supply is mutually independent, and each heat supply area comprises an electric boiler heat supply project with the maximum heat supply power of 200 MW;
6) respectively calculating the total cost of the system day-ahead economic dispatch in the following three modes, and comparing the economic efficiency and the wind abandon result:
mode 1: the heat storage device and the electric boiler do not work;
mode 2: heat is supplied only by the heat-storage cogeneration unit;
mode 3: the electric boiler and the heat storage device supply heat cooperatively.
TABLE 1 predicted load power values for each time interval
Tab.1 Prediction of power load in each period
TABLE 2 Cogeneration Unit parameters
Tab.2 Parameters of CHP unit
TABLE 3 wind power prediction value
Tab.3 wind power prediction
TABLE 4 comparison of economic dispatch performances for three heating modes
Tab.1 Comparison of the economy of three heating modes
2 calculation of arithmetic example
a) Space mathematical model for wind curtailment and absorption
FIG. 1 shows a structure diagram of a coordinated heat supply integrated system, and according to calculation conditions, it is found that wind abandoning moments occur in 4 th, 5 th and 6 th time periods, wherein the 4 th and 6 th time periods can completely eliminate the abandoned wind only through the action of a heat storage device, and the heat supply power P of a wind power boiler is only required to be eliminated at the limit of the 5 th time periodH.e.lim6。
The wind power abandoned in the heat supply of the system only comprising the cogeneration unit in the 6 th period is as follows:
the total consumption and air abandoning space when heat storage cogeneration and an electric boiler coordinate for heat supply is as follows:
ΔPw.ech＝ΔPw.ch+ΔPEB
＝Cm(Phz-PH.e)-(Cv+Cm)Phe1.max+Pe.max-Pe.min+CvPhe2.max+(1/β)·PH.e
＝0.75×(200-PH.e)-(0.75+0.15)×250+200-100+0.15×1250/9+(1/0.99)×PH.e
＝25-0.75PH.e+0.15×1250/9+(1/0.99)×PH.e
b) electric boiler heating power capable of eliminating abandoned wind to the utmost extent
Let Pw.h.6＝ΔPw.echObtaining:
PH.e.lim6＝(Pw0.t-Cv·Phe2.max)·β
＝(118.57465-0.15×1250/9)×0.99＝96.7639035MW
therefore, the method comprises the following steps:
the heating proportion alpha of the electric boiler is 967639035/200-0.4838-48.38%
Namely, under the condition of the calculation example, the 5 th time interval electric boiler can obtain the best economy when the heat supply proportion of 48.38 percent and the heat-storage-containing cogeneration unit carry out coordinated heat supply.
c) Wind curtailment and accommodation coordinated scheduling modeling
Based on an IEEE118 standard node model, according to the objective function and the constraint conditions, simulation modeling is carried out by utilizing Matlab language, the main problem of economic dispatching is formed, and meanwhile, collaborative modeling is carried out on the sub problem of the optimal heat supply proportion of the electric boiler and the sub problem of the optimal heat storage and storage planning of the heat storage device.
d) Curtailment and accommodation coordination scheduling model solution
Fig. 2 shows a logical relationship diagram of the economic dispatch main problem and two sub-problems included in the model, the main problem is solved by using a genetic algorithm, and the flow of solving the individual fitness of the main problem for the possible violation of the limit situation is shown in fig. 3. The flow chart of the economic dispatch main problem solved by the genetic algorithm is shown in FIG. 4.
Fig. 5 shows the comparison of the economic cost convergence characteristics in three different modes, and fig. 6 shows the wind curtailment characteristics in three different heating modes. Table 4 gives a comparison of the performance of the economic dispatch for the three schemes. Therefore, the system supplies heat to the heat load by the traditional combined heat and power generation unit, the wind power internet space is reduced due to the rigid coupling of heat and power, the wind abandon phenomenon is easy to occur, and the cost is the highest; when the mode 2 is adopted, the output of the cogeneration unit can be flexibly adjusted through the heat storage device, a certain space for consuming and abandoning wind is provided, and the scheduling cost is reduced; by adopting the mode 3, coordinated heat supply is carried out according to the heat supply load of the electric boiler which can absorb the abandoned wind to the utmost extent, the power grid abandoned wind absorption space can be further expanded, the optimal economy is obtained, and the dispatching cost is reduced by 11.71 percent compared with that when the heat storage device and the electric boiler are not added. The curves of the heat storage capacity with time when the optimal heat storage and release plans are adopted in the modes 2 and 3 are shown in fig. 7 and 8, respectively.
When the mode 3 is adopted for heat supply, under the condition that other conditions are not changed, the most economic dispatching cost of the system has a certain relation with the heat supply proportion of the electric boiler, the relation between the most economic dispatching cost and the heat supply proportion of the electric boiler is calculated through simulation, the relation between the most economic dispatching cost and the heat supply proportion of the electric boiler is shown in fig. 9, the optimal heat supply proportion of the electric boiler obtained through simulation calculation is 48.38%, and the optimal heat supply proportion is the. The left part of the optimal heat supply proportion of the curve is approximately linearly decreased, the reason is that the electricity abandoning amount of the system is gradually reduced by the consumption of the electric boiler along with the increase of the heat supply proportion of the electric boiler, and the two approximately have a linear relation; the right part of the optimal heat supply proportion of the curve is approximately linearly increased, because the abandoned wind amount is zero at the moment, but the heat supply of the electric boiler does not completely consume the abandoned wind amount, and the coal consumption cost of the system is approximately linearly increased to increase the total scheduling cost.
3 summary of the examples
1) The total social cost can be reduced to the maximum extent by the aid of the waste air consumption coordination scheduling model of the heat-storage cogeneration unit and the electric boiler, and is reduced by 11.71% compared with the method without the heat storage device and the electric boiler;
2) after the heat storage device is additionally arranged on the side of the cogeneration unit, the most economic dispatching cost is reduced by 6.01 percent compared with the dispatching cost without the heat storage device;
3) the method for the coordinated scheduling of the waste wind consumption of the heat-storage cogeneration unit and the electric boiler can consume the maximum waste wind power, and simultaneously, the total scheduling cost of the system is minimized and is reduced by 6.07 percent compared with the economic scheduling cost which only contains a heat storage device and does not consider the connection of the electric boiler;
4) in the system for coordinately supplying heat by the heat-storage cogeneration unit and the electric boiler, when the electric boiler supplies heat according to the heat supply amount of the limit consumption abandoned wind electricity quantity, the best economical efficiency can be obtained.
In conclusion, the invention can further expand the power grid wind curtailment and consumption space, save the dispatching cost and provide a basis for the power grid dispatching department to make a day-ahead dispatching plan.
The terms, diagrams, tables and the like in the embodiments of the present invention are used for further description, are not exhaustive, and do not limit the scope of the claims, and those skilled in the art can conceive other substantially equivalent alternatives without inventive step in light of the teachings of the embodiments of the present invention.
Claims (1)
1. A heat-storage cogeneration unit and electric boiler-based abandoned wind consumption coordination scheduling method is characterized by comprising the following steps:
1) establishment of curtailment space mathematical model
When the heat-storage cogeneration unit and the electric boiler coordinate to supply heat, the heat-storage cogeneration unit and the electric boiler respectively generate certain absorption and abandoned air spaces:
wherein: pw.h.tRepresenting the abandoned wind power of the system only containing the cogeneration unit during heat supply at the time t;
Pw0.trepresenting the abandoned wind power when the system only containing the cogeneration unit does not supply heat at the time t;
ΔPw.h.trepresenting that only a waste wind absorption space generated by heat supply of the cogeneration unit system is contained at the moment t;
ΔPw.echrepresenting a waste wind absorption space when heat-storage cogeneration and an electric boiler coordinate to supply heat;
ΔPw.chrepresenting a waste wind absorption space generated by the heat-storage cogeneration unit;
ΔPEBrepresenting a waste wind absorption space generated by the electric boiler;
the total heat supply load of the heat and power cogeneration unit is larger in winter, and for a system comprising a single electric boiler and the heat and power cogeneration unit, the heat and power cogeneration unit containing heat storageThe waste wind consumption space generated during heat supply is expressed as the heat supply amount P of the electric boilerH.eFunction of (c):
wherein: cmThe elastic coefficient is the back pressure working condition elastic coefficient of the cogeneration unit;
Cvthe electric power reduction value is the electric power reduction value when the unit steam quantity is extracted under the fixed steam quantity;
PH.esupplying heat power to the electric boiler;
Ph.cmaxthe maximum heat storage power of the heat storage device;
Pe.maxthe maximum electric output when the unit does not supply heat;
Pe.minminimum power output when the unit does not supply heat;
Phe1.maxthe heat supply power is the heat supply power when the unit works under the back pressure working condition under the maximum steam inlet quantity;
Phe2.maxthe heat supply power is the heat supply power when the unit works under the back pressure working condition under the minimum steam inlet quantity;
Phzis the total heating load;
abandoned wind absorption space delta P generated by electric boilerEBExpressed as:
ΔPEB＝(1/β)·PH.e(3)
wherein: beta is the electric heat conversion efficiency of the electric boiler, 0.99 is selected,
the abandoned wind power when the system only containing the cogeneration unit does not supply heat is expressed as follows:
wherein: n is the total number of conventional thermal power generating units;
r is the total number of the cogeneration units;
k is the number of the wind turbine generators;
the predicted output of the jth wind turbine generator set at the moment t is obtained;
PL.tload prediction value at the moment t of the system;
the abandoned wind generated when the system only comprises the cogeneration unit supplies heat consumes the space:
2) electric boiler heating power capable of eliminating abandoned wind to the utmost extent
When the system completely consumes the abandoned wind power generated only by the cogeneration unit during heat supply under the combined action of the heat-storage cogeneration unit and the electric boiler, the purposes of heat supply and optimal economy can be simultaneously achieved:
Pw.h.t＝ΔPw.ech(6)
obtaining the electric boiler heat supply power P of the limit absorption abandoned windH.e.limThe calculation formula of (2) is as follows:
PH.e.lim＝(Pw0.t-Cv·Phe2.max)·β (7)
that is, in a certain total heat supply range, the heat supply quantity of the electric boiler which completely consumes the abandoned wind is only equal to Pw0.t、Cv、Phe2.maxBeta is related to the total heat supply load of the system, and the most appropriate electric boiler capacity is arranged according to the power grid structure on the basis of analyzing the wind power resource characteristics and the load characteristics of the power grid when an electric boiler project is planned and constructed according to the principle so as to achieve the aim of optimal economy;
3) wind curtailment and accommodation coordinated scheduling modeling
a) Objective function
The economic dispatching of the wind power-containing electric power system takes the minimum power generation cost of the system as a dispatching target, and adds the abandoned wind cost in the cost for checking the effect of the heat storage device and the electric boiler on the abandoned wind power consumption, so that the objective function of the abandoned wind consumption coordination dispatching model is as follows:
min(F1(Pi)+F2(Perl.i,Ph.i,Pcr.i)+λ·PW.qf) (8)
wherein: f1The power generation cost function of the conventional thermal power generating unit;
F2is a power generation cost function of the cogeneration unit;
Ph.iis the total heating power;
Perl.ithe electric output of the ith cogeneration unit,
Pcr.iStoring and releasing heat power of a heat storage device of the ith cogeneration unit;
Pw.qfthe wind power of the system is abandoned;
lambda is the cost coefficient of the waste wind;
the power generation cost of the thermal power generating unit comprises coal consumption cost and start-stop cost,
wherein: a isi、bi、ciA quadratic fitting coefficient of the coal consumption cost of the conventional unit;
Pi.trepresenting the electric output of the conventional unit i at the time t;
ui.tthe starting and stopping states of the unit i at the moment t are shown, and 1 and 0 respectively show operation and shutdown;
Sithe starting cost of the unit i is calculated;
because cogeneration undertakes the heat supply task, the shutdown condition can not appear, so its cost of electricity generation only includes the coal consumption cost, according to the electric heat operating characteristics who contains heat-retaining cogeneration unit, its coal consumption cost of a certain moment is after the unit rejects heat supply capacity of heat-retaining device, converts electricity, hot output into the electric power under the pure condition:
wherein: a isi、bi、ciFor the coal consumption cost coefficient of the cogeneration unit,
when the electric output of the cogeneration is not changed, different heat charging and discharging plans and different heat-storing cogeneration heat supply powers can generate different costs, all the cogeneration units supply heat at the non-wind abandoning moment, and the electric boiler is connected to consume the wind abandoning moment, so that two optimization sub-problems exist under the scheduling optimization main problem: an optimal heat storage and release planning subproblem and an optimal electric boiler heat supply proportion subproblem,
optimal heat storage and discharge plan sub-problem in the given heat supply proportion P of a certain electric boilerh.i.stemAnd then, when each node of the main problem of the outer layer scheduling optimization, namely the electric output of all the units is given, the optimal heat storage and release plan under the condition is obtained:
b) constraint conditions
The curtailment wind absorption dispatching model for coordinating heat supply considers the traditional constraint conditions of the power system, the constraint conditions comprise load balance constraint, unit output constraint, unit climbing constraint, unit starting and stopping constraint and positive and negative rotation standby constraint, thermal system constraint comprises heat supply balance equality constraint and heat storage device operation constraint,
and (3) heat supply balance constraint:
wherein:
the heating power of the electric boiler at the time t is provided;
Phz.tis the thermal load at time t;
and (3) operation constraint of the heat storage device:
in the formula:
the heat storage quantity of the ith heat storage device at the time t is shown;
Si.maxindicating the heat storage capacity of the ith heat storage device;
the storage and heat release power of the ith heat storage device at the time t is shown;
4) curtailment and accommodation coordination scheduling model solution
The electric output of the cogeneration unit is a function of the heat output of the cogeneration unit, and if the heat load changes, the constraint condition of the electric output of the cogeneration unit in the main economic dispatching problem changes, so that the constraint condition cannot be solved by simple planning software, and therefore, a certain element in a heat supply proportion set of an electric boiler
Firstly, randomly generating an initial population of an economic dispatching problem, modifying elements of each individual through a correction process, and returning fitness and a relatively optimal heat storage and release plan; then continuously iterating to obtain the most economic dispatching plan under the heat supply proportion to form an optimal plan set corresponding to the heat supply proportion set; finally obtaining the optimal heat supply proportion and the optimal path of the electric boilerAnd (4) the scheduling plan result is saved.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510851984.9A CN105447599B (en) | 2015-11-30 | 2015-11-30 | Heat-storage cogeneration unit and electric boiler-based abandoned wind elimination coordination scheduling model |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510851984.9A CN105447599B (en) | 2015-11-30 | 2015-11-30 | Heat-storage cogeneration unit and electric boiler-based abandoned wind elimination coordination scheduling model |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105447599A CN105447599A (en) | 2016-03-30 |
| CN105447599B true CN105447599B (en) | 2020-01-17 |
Family
ID=55557751
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510851984.9A Expired - Fee Related CN105447599B (en) | 2015-11-30 | 2015-11-30 | Heat-storage cogeneration unit and electric boiler-based abandoned wind elimination coordination scheduling model |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105447599B (en) |
Families Citing this family (26)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105976265B (en) * | 2016-05-12 | 2022-08-09 | 中国电力科学研究院 | Capacity planning method for energy storage coordination heat storage type electric boiler |
| CN106294961A (en) * | 2016-08-03 | 2017-01-04 | 清华大学 | A kind of meter and the central heating system modeling method of pipe network heat accumulation benefit |
| CN106339772B (en) * | 2016-08-11 | 2019-06-18 | 清华大学 | Thermo-electrically joint optimal operation method based on heating network heat accumulation benefit |
| CN106356895B (en) * | 2016-10-24 | 2019-01-08 | 国家电网公司 | A kind of method that cogeneration units heat accumulation promotes wind electricity digestion |
| CN106439989A (en) * | 2016-11-14 | 2017-02-22 | 中国华电科工集团有限公司 | Domestic-hot-water intelligent control system of distributed energy station |
| CN106593771B (en) * | 2016-12-16 | 2019-06-18 | 国网辽宁省电力有限公司 | Electric heating decoupled system and its control method in a kind of co-generation unit |
| CN106712033B (en) * | 2017-03-24 | 2019-08-09 | 大连理工大学 | A kind of method of steam power plant's consumption abandonment |
| CN106969399A (en) * | 2017-03-29 | 2017-07-21 | 赫普热力发展有限公司 | Dissolve peak regulation system and its peak regulating method of dissolving that a kind of clean energy resource generates electricity |
| CN107508328A (en) * | 2017-04-08 | 2017-12-22 | 东北电力大学 | Consider the association system energy optimizing method of wind electricity digestion |
| CN108736507B (en) * | 2017-04-25 | 2021-05-18 | 中国电力科学研究院 | Heat accumulating type electric boiler optimization method and device for improving wind power consumption on site |
| CN107425537B (en) * | 2017-05-07 | 2019-10-22 | 东北电力大学 | It is a kind of meter and peak regulation cost the heat storage capacity configuration method of photo-thermal power station containing heat accumulation |
| CN107103431B (en) * | 2017-05-15 | 2020-07-24 | 东北电力大学 | Power grid wind abandon condition analysis method under peak regulation constraint in heat supply period |
| CN107204632B (en) * | 2017-07-15 | 2019-10-22 | 东北电力大学 | A kind of flexible load Optimization Scheduling promoting wind electricity digestion |
| CN108063453B (en) * | 2017-12-04 | 2021-07-13 | 国网辽宁省电力有限公司 | Power grid full-time multivariate optimization scheduling method for improving wind power receiving capacity |
| CN108549968B (en) * | 2018-03-11 | 2021-08-10 | 东北电力大学 | Heat-storage-containing combined heat and power generation unit and wind power combined dispatching method for reducing sulfur and nitrate discharge |
| CN109494784A (en) * | 2018-10-15 | 2019-03-19 | 国网辽宁省电力有限公司电力科学研究院 | A kind of large capacity heat reservoir optimal control method improving wind electricity digestion |
| CN109190850B (en) * | 2018-10-24 | 2021-12-21 | 国网辽宁省电力有限公司阜新供电公司 | Regional power grid wind power consumption capacity assessment method with electrode type boiler |
| CN111156585B (en) * | 2018-11-07 | 2021-09-07 | 国网冀北电力有限公司 | Energy flow control method and device for wind power heating system |
| CN109461097B (en) * | 2018-11-15 | 2021-12-14 | 东北大学 | Electric-heat combined system scheduling method based on additional heat source absorption wind curtailment |
| CN109685319B (en) * | 2018-11-26 | 2022-03-18 | 东北电力大学 | Abandoned wind absorption method based on electric-thermal time shift characteristic of heat accumulating type electric boiler |
| CN110232640A (en) * | 2019-01-15 | 2019-09-13 | 华北电力大学 | It is a kind of towards wind electricity digestion the considerations of thermic load elasticity and heat supply network characteristic electric heating integrated distribution model |
| CN110852531A (en) * | 2019-11-26 | 2020-02-28 | 国网江苏省电力有限公司南通供电分公司 | Energy internet multi-objective optimization method |
| CN111064230A (en) * | 2019-12-18 | 2020-04-24 | 国网辽宁省电力有限公司电力科学研究院 | Wind curtailment and absorption economic dispatching method of electric heating coupling system |
| CN111457463A (en) * | 2020-03-03 | 2020-07-28 | 天津大学 | Heat accumulating type electric heating optimization control method without power failure and power outage |
| CN112434915B (en) * | 2020-11-09 | 2023-06-30 | 沈阳工程学院 | Regional comprehensive energy system flexibility optimal configuration method for abandoned wind digestion |
| CN117293801B (en) * | 2023-09-22 | 2024-04-05 | 东北电力大学 | Source-load coordination scheduling method considering fine modeling of electric arc furnace load |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104166946A (en) * | 2014-08-15 | 2014-11-26 | 国家电网公司 | Standby and peak shaving auxiliary service cost allocation method facilitating new energy grid-connected consumption |
| CN104408563A (en) * | 2014-11-27 | 2015-03-11 | 国网宁夏电力公司 | Regional planning method for wind power heating |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9146547B2 (en) * | 2011-07-20 | 2015-09-29 | Nec Laboratories America, Inc. | Optimal energy management of a rural microgrid system using multi-objective optimization |
-
2015
- 2015-11-30 CN CN201510851984.9A patent/CN105447599B/en not_active Expired - Fee Related
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104166946A (en) * | 2014-08-15 | 2014-11-26 | 国家电网公司 | Standby and peak shaving auxiliary service cost allocation method facilitating new energy grid-connected consumption |
| CN104408563A (en) * | 2014-11-27 | 2015-03-11 | 国网宁夏电力公司 | Regional planning method for wind power heating |
Non-Patent Citations (1)
| Title |
|---|
| 含储热的电力系统电热综合调度模型;吕泉等;《电力自动化设备》;20140531;第34卷(第5期);80-84 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105447599A (en) | 2016-03-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105447599B (en) | Heat-storage cogeneration unit and electric boiler-based abandoned wind elimination coordination scheduling model | |
| CN108717594B (en) | Economic optimization scheduling method for combined cooling heating and power type multi-microgrid system | |
| CN108154309B (en) | Energy internet economic dispatching method considering multi-load dynamic response of cold, heat and electricity | |
| CN110163443B (en) | Natural gas pressure regulating station micro-energy network optimization scheduling method considering electricity-gas comprehensive demand response | |
| CN113112087A (en) | Comprehensive energy system operation cost optimization method considering electric heating load demand response | |
| CN112583021A (en) | Comprehensive energy system optimal scheduling method and device considering comprehensive demand response | |
| CN110676847A (en) | Optimal scheduling method considering wind power-heat storage unit-electric boiler combined operation | |
| CN108736507B (en) | Heat accumulating type electric boiler optimization method and device for improving wind power consumption on site | |
| CN110361969B (en) | Optimized operation method of cooling, heating and power comprehensive energy system | |
| CN109038589B (en) | Multi-provincial power grid coordinated operation production simulation method | |
| Yanan et al. | Intelligent scheduling optimization of seasonal CCHP system using rolling horizon hybrid optimization algorithm and matrix model framework | |
| CN106712033A (en) | Wind curtailment absorption method in thermal power plant | |
| Chen et al. | Optimal scheduling strategy of a regional integrated energy system considering renewable energy uncertainty and heat network transmission characteristics | |
| Yang et al. | Optimal dispatch for a combined cooling, heating and power microgrid considering building virtual energy storage | |
| CN109376406B (en) | Energy supply system superstructure model, modeling method, computer device and storage medium | |
| CN115081700A (en) | Comprehensive energy storage technology-based data center multi-energy collaborative optimization method and system | |
| CN109638818A (en) | A kind of heat storing type electric heating system capacity configuration optimizing method and device | |
| CN114255137A (en) | Low-carbon comprehensive energy system optimization planning method and system considering clean energy | |
| CN109768567A (en) | A kind of Optimization Scheduling coupling multi-energy complementation system | |
| CN117611382A (en) | Rural comprehensive energy system optimization method considering multilayer cooperation and demand response | |
| CN109345030B (en) | Multi-microgrid comprehensive energy system thermoelectric energy flow distribution type optimization method and device | |
| CN114757469A (en) | Regional comprehensive energy system day-ahead optimization scheduling method considering multi-energy flow equipment | |
| CN113794242A (en) | Interval optimization scheduling method considering dynamic characteristics of natural gas network | |
| Li et al. | Capacity Configuration of Integrated Energy System Considering Equipment Inertia | |
| CN107834553B (en) | Evaluation method for comprehensive stability margin of combined heat and power system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20200117 Termination date: 20211130 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |