CN112787359A - Day-ahead electric energy market and deep peak shaving service market combined clearing method - Google Patents

Day-ahead electric energy market and deep peak shaving service market combined clearing method Download PDF

Info

Publication number
CN112787359A
CN112787359A CN202011565481.2A CN202011565481A CN112787359A CN 112787359 A CN112787359 A CN 112787359A CN 202011565481 A CN202011565481 A CN 202011565481A CN 112787359 A CN112787359 A CN 112787359A
Authority
CN
China
Prior art keywords
power
unit
new energy
cost
day
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.)
Granted
Application number
CN202011565481.2A
Other languages
Chinese (zh)
Other versions
CN112787359B (en
Inventor
范宇辰
吕泉
张娜
张明理
宋坤
王义贺
满林坤
徐熙林
李健
张佳伟
章艳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Dalian University of Technology
Economic and Technological Research Institute of State Grid Liaoning Electric Power Co Ltd
Shenyang Power Supply Co of State Grid Liaoning Electric Power Co Ltd
Original Assignee
Dalian University of Technology
Economic and Technological Research Institute of State Grid Liaoning Electric Power Co Ltd
Shenyang Power Supply Co of State Grid Liaoning Electric Power Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Dalian University of Technology, Economic and Technological Research Institute of State Grid Liaoning Electric Power Co Ltd, Shenyang Power Supply Co of State Grid Liaoning Electric Power Co Ltd filed Critical Dalian University of Technology
Priority to CN202011565481.2A priority Critical patent/CN112787359B/en
Publication of CN112787359A publication Critical patent/CN112787359A/en
Application granted granted Critical
Publication of CN112787359B publication Critical patent/CN112787359B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/28—The renewable source being wind energy

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a day-ahead electric energy market and deep peak shaving service market combined clearing method, which comprises the following steps: acquiring the next day of electric load and new energy power generation predicted power data; setting technical parameters of the thermal power generating unit on the next day and acquiring quotation parameters of the thermal power generating unit; establishing a combined clearing model; obtaining a target function of the combined clearing model by calculating the day-ahead electric energy cost, the deep peak regulation cost and the punishment cost of the new energy power limit; setting constraint conditions of the combined clearing model; and inputting the acquired information and parameters into the combined clearing model, and calculating according to the constraint conditions to obtain the next-day operation plan and the electricity-limiting power of the new energy which are pre-cleared in the electric energy market, and the next-day operation plan and the electricity-generating power and the electricity-limiting power of the new energy which are jointly cleared again. The method can scientifically and reasonably establish the power generation plan of the thermal power generating unit and the wind-solar new energy on the next day based on the principle of preferential consumption and low price priority of the new energy, so that the power system can run more economically.

Description

Day-ahead electric energy market and deep peak shaving service market combined clearing method
Technical Field
The invention relates to the technical field of electric power system dispatching operation, in particular to a day-ahead electric energy market and deep peak shaving service market combined clearing method.
Background
Currently, China is actively promoting the construction of spot markets. In the existing pilot points, some northern wind and light new energy sources are saved with difficulty in consumption, and the previous deep peak shaving service market is reserved while a new day-ahead electric energy market is established.
In the current-in-date power spot clearing with deep peak shaving trading, the power trading before the day is usually first cleared, and if wind and light are abandoned and electricity is limited, the deep peak shaving trading is cleared, so that a day-ahead power generation plan with deep peak shaving is formed. When the peak shaving depth peak shaving trading is carried out, the unit depth peak shaving plan is determined according to the peak shaving quotation on the basis that the electric energy trading result before the day of the first time is taken as a boundary. However, in the prior art, the demand of subsequent deep peak regulation is not usually considered in the process of discharging and clearing electric energy in the day ahead, so that some thermal power generating units can perform deep peak regulation in the valley period, and wind power consumption is influenced because the deep peak regulation capacity of the loss part is limited by overhigh output and the climbing rate in the period of non-electricity abandonment in the spot market.
Disclosure of Invention
The invention provides a method for clearing a day-ahead electric energy market and a deep peak shaving service market in a combined manner, which aims to overcome the technical problems.
The invention relates to a day-ahead electric energy market and deep peak shaving service market combined clearing method, which comprises the following steps:
acquiring the next day of electric load and new energy power generation predicted power data; setting technical parameters of the thermal power generating unit of the next day and obtaining quotation parameters of the thermal power generating unit, wherein the quotation parameters comprise: the method comprises the following steps of (1) carrying out electric energy quotation, starting quotation and peak shaving quotation on a thermal power generating unit;
establishing a combined clearing model; obtaining a target function of the combined clearing model by calculating the day-ahead electric energy cost, the deep peak regulation cost and the punishment cost of new energy power limitation;
setting a constraint condition of the combined output model;
inputting the next-day electric load, the new energy power generation predicted power data and the quotation parameter into the combined clearing model, and calculating to obtain the next-day operation plan of the electric energy market due and the electricity limiting power of the new energy according to the constraint condition;
and obtaining a next day operation plan and a new energy power generation power and electricity limiting power predicted value which are jointly output again according to the next day operation plan and the electricity limiting power of the new energy which are expected to be output by the electric energy market.
Further, the combined clearance model includes: the day-ahead electric energy cost, the deep peak regulation cost and the punishment cost of the new energy electricity limiting; the day-ahead electric energy cost comprises the following steps: operating costs and start-up costs; the expression of the combined clear model z is as follows:
Figure BDA0002861648750000021
in the formula (I), the compound is shown in the specification,
Figure BDA0002861648750000022
the operation cost of the unit j in the time period t is obtained;
Figure BDA0002861648750000023
starting and stopping cost of the unit j in the time period t;
Figure BDA0002861648750000024
the cost of the first section of the deep peak shaving of the unit j in the t period;
Figure BDA0002861648750000025
the cost of the second section of deep peak shaving of the unit j in the time period t;
Figure BDA0002861648750000026
the penalty cost for the new energy power limit in the t period; t is a set of time periods; j is the set of the units.
Further, the obtaining of the objective function of the combined clearance model by calculating the day-ahead electric energy cost, the deep peak shaving cost and the penalty cost of new energy power limitation includes: taking the minimum value of the sum of the day-ahead electric energy cost, the deep peak regulation cost and the punishment cost of the new energy power limit as a target function;
the operating cost is determined by equation (2):
Figure BDA0002861648750000027
in the formula, AjThe running cost of the unit j under the minimum technical output is obtained; v. ofj,tThe system is a Boolean variable which represents the starting and stopping state of the unit j in the time period t, wherein 0 is stopping and 1 is starting; lambda [ alpha ]l,jQuoting the electric energy of the unit j in the section l; deltal,j,tGenerating power of the j unit in the section I of the section quotation function at the time period t; p is a radical ofj,tGenerating output power for the unit j in the time period t;
Figure BDA00028616487500000210
P jrespectively the maximum and minimum technical output of the unit j; el,jThe upper limit of the generated power of the segment I in the piecewise linear quotation function is defined; NLjThe number of segments of the piecewise linear electricity price function;
the starting cost is obtained by the formula (3):
Figure BDA0002861648750000028
in the formula (I), the compound is shown in the specification,
Figure BDA0002861648750000029
the starting quotation of the unit j is given;
the deep peak regulation cost is divided into a first section of deep peak regulation cost and a second section of deep peak regulation cost; the first-stage depth peak regulation cost is obtained by the formula (4):
Figure BDA0002861648750000031
in the formula (I), the compound is shown in the specification,
Figure BDA0002861648750000032
carrying out deep peak regulation and quotation on the first section of the unit j;
Figure BDA0002861648750000033
the deep peak regulation power of the first section of the unit j in the t period is obtained; etajbIs the basic peak-shaving lower limit load rate, etatf1The lower limit load rate of deep peak regulation;
the second stage depth peak shaving cost is calculated by equation (5):
Figure BDA0002861648750000034
in the formula (I), the compound is shown in the specification,
Figure BDA0002861648750000035
carrying out deep peak regulation quotation for the second section of the unit j;
Figure BDA0002861648750000036
the deep peak regulation power of the unit j in the second section of the t period is obtained;
the penalty cost of the new energy power limit is obtained by the following formula (6):
Figure BDA0002861648750000037
in the formula, λwA penalty coefficient for limiting the electricity of the new energy;
Figure BDA0002861648750000038
and the electric power is limited for the new energy in the t period.
Further, the calculating the constraint condition of the joint clearance model comprises:
the constraint conditions comprise: the method comprises the following steps of power balance and standby constraint, thermal power unit operation boundary constraint and new energy operation boundary constraint;
the power balance and backup constraints are:
Figure BDA0002861648750000039
in the formula (I), the compound is shown in the specification,
Figure BDA00028616487500000310
is a power balance constraint;
Figure BDA00028616487500000311
and
Figure BDA00028616487500000312
constraint for standby;
Figure BDA00028616487500000313
actual power generation power of the new energy source is in a time period t; dtLoad power for a period t; epsilondThe system standby rate; epsilonwReliability of power generation for new energy;
Figure BDA00028616487500000314
the maximum possible generating power of the unit j in the time period t is obtained;
the new energy operation boundary constraint is as follows:
Figure BDA0002861648750000041
in the formula (I), the compound is shown in the specification,
Figure BDA0002861648750000042
predicting power for the new energy power generation in the time period t;
the thermal power generating unit operation boundary constraint comprises the following steps: the method comprises the following steps of (1) unit output range constraint, climbing rate constraint, minimum startup time constraint and minimum shutdown time constraint;
the unit output range constraint is as follows:
Figure BDA0002861648750000043
in the formula (I), the compound is shown in the specification,
Figure BDA0002861648750000044
respectively the maximum output and the minimum output of the unit j in the time period t;
the unit climbing rate constraint is as follows:
Figure BDA0002861648750000045
in the formula, RUj、RDjThe up-and-down climbing rates of the unit j are respectively set; SUj、SDjThe ramp rates of the starting and stopping of the unit j are respectively;
the minimum starting time constraint of the unit is as follows:
Figure BDA0002861648750000046
in the formula (I), the compound is shown in the specification,
Figure BDA0002861648750000047
the minimum startup time of the unit j; NT is the number of cycle periods; gjThe number of time intervals in which the unit j must be started in the period starting time interval;
unit minimum down time constraint:
Figure BDA0002861648750000051
wherein the content of the first and second substances,
Figure BDA0002861648750000052
minimum downtime of unit j; l isjThe number of periods that must be shut down for the start period of the unit j cycle.
Further, the calculating according to the constraint condition to obtain the next day operation plan expected to be clear in the electric energy market and the electricity limiting power of the new energy source comprises the following steps:
adjusting the minimum value of the output of the thermal power generating unit to the lower limit of the basic peak regulation, and adjusting the value in the formula (9)
Figure BDA0002861648750000053
Is calculated according to equation (13):
Figure BDA0002861648750000054
inputting the obtained information and parameters into the modelIn the method, the optimization solver is used for calculating the combined clear model to obtain the starting and stopping state v of the thermal power generating unit at each period of the next dayj,tOutput of the unit in each time interval
Figure BDA0002861648750000055
The electricity-limited power of the new energy in each time period
Figure BDA0002861648750000056
Further, the obtaining of the next-day operation plan and the new-energy generation power and the electricity-limiting power combined with the next-day operation plan and the new-energy generation power according to the next-day operation plan and the new-energy electricity-limiting power predicted to be cleared by the electric energy market includes:
starting and stopping state v of thermal power generating unitj,tSetting the calculation result according to the formula (13) as a constant, and utilizing the electricity-limited power of the new energy in each time period
Figure BDA0002861648750000057
Determining new energy power limit time period Ut；
When in use
Figure BDA0002861648750000058
While, U t1 is ═ 1; when in use
Figure BDA0002861648750000059
While, Ut＝0；
In the non-new energy electricity limiting period, the output range of the thermal power generating unit is set as
Figure BDA00028616487500000510
The output range of the thermal power generating unit in the new energy electricity limiting period is set as
Figure BDA00028616487500000511
Calculated according to equation (14) in equation (9)
Figure BDA00028616487500000512
Figure BDA00028616487500000513
The value:
Figure BDA00028616487500000514
due to the on-off state v of the thermal power generating unitj,tThe calculation does not contain the minimum starting time of the unit and the minimum stopping time constraint of the unit;
calculating the combined discharge by using an optimization solver to obtain the next-day planned generating power p of the thermal power generating unitj,tPlanned generated power of new energy
Figure BDA0002861648750000061
And limit electric power
Figure BDA0002861648750000062
Aiming at a power generation system containing a thermal power generating unit and new wind and light energy, the invention establishes a day-ahead electric energy market and deep peak regulation service market combined clearing model, takes the minimum sum of system electric energy cost, starting cost, peak regulation cost and new energy power limiting penalty cost as a target function, and takes the operation boundaries of two power generation units of a system power balance and backup, the thermal power generating unit and the new energy as constraint conditions; and calculating the next day operation plan of each thermal power generating unit and new energy by using an optimization solver through a step-by-step calculation method of pre-clearing of the day-ahead electric energy market and combined re-clearing of the two markets.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of a method of the present invention;
FIG. 2 shows the next day load forecast and new energy generation forecast power of the present invention;
FIG. 3 is a schematic diagram of a unit of the present invention for sectional pricing;
FIG. 4 shows the power distribution of the combined output of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment provides a method for clearing the electric energy market and the deep peak shaving service market in combination day-ahead,
101. acquiring the next day of electric load and new energy power generation predicted power data; setting technical parameters of the thermal power generating unit of the next day and obtaining quotation parameters of the thermal power generating unit, wherein the quotation parameters comprise: the method comprises the following steps of (1) carrying out electric energy quotation, starting quotation and peak shaving quotation on a thermal power generating unit; in particular, the method of manufacturing a semiconductor device,
(1) load data
The load and the predicted new energy power in each time period in the next day of the system are shown in table 1, and a daily load curve and a predicted new energy power generation output curve are drawn and shown in fig. 1.
TABLE 1
Time period 1 2 3 4 5 6 7 8 9 10 11 12
Electrical load 700 750 850 950 1000 1100 1150 1200 1300 1400 1450 1500
New energy prediction 480.0 493.2 531.6 490.8 453.6 384.0 307.2 278.4 213.6 180.0 252.0 220.8
Time period 13 14 15 16 17 18 19 20 21 22 23 24
Electrical load 1400 1300 1200 1050 1000 1100 1200 1400 1300 1100 900 800
New energy prediction 249.6 352.8 420.0 438.0 480.0 436.8 453.6 477.6 372.0 325.2 402.0 468.0
(2) Technical parameters of the unit
The test system comprises 10 units, wherein units 1-7 are coal-fired units, units 8-10 are gas-fired units, and the technical parameters of the units are shown in table 2.
TABLE 2
Figure BDA0002861648750000071
(3) Unit quotation parameter
And each unit reports the price of electric energy, peak regulation and starting respectively. As shown in fig. 2, the electric energy is quoted in four sections based on the coal consumption cost of the unit; deep peak shaving is divided into two sections of quotations according to the operation rule of the northeast auxiliary service market; the first stage deep peak load rate range is 50% -40%, the second stage load rate range is 40% >, EP jEta ofjbIs 50%, eta tf140 percent; and (5) reporting and quoting according to the starting cost of the unit. The electric energy quotation parameters of the unit are shown in table 3, and the start and deep peak shaving quotation parameters of the unit are shown in table 4.
TABLE 3
Figure BDA0002861648750000081
TABLE 4
Figure BDA0002861648750000082
102. Establishing a combined clearing model; obtaining a target function of the combined clearing model by calculating the day-ahead electric energy cost, the deep peak regulation cost and the punishment cost of new energy power limitation;
specifically, the expression of the combined emerging model z is:
Figure BDA0002861648750000083
in the formula (I), the compound is shown in the specification,
Figure BDA0002861648750000091
the operation cost of the unit j in the time period t is obtained;
Figure BDA0002861648750000092
starting and stopping cost of the unit j in the time period t;
Figure BDA0002861648750000093
the cost of the first section of the deep peak shaving of the unit j in the t period;
Figure BDA0002861648750000094
the cost of the second section of deep peak shaving of the unit j in the time period t;
Figure BDA0002861648750000095
the penalty cost for the new energy power limit in the t period; t is a set of time periods; j is the set of the units.
Taking the minimum value of the sum of the day-ahead electric energy cost, the deep peak regulation cost and the punishment cost of the new energy power limit as a target function;
the operating cost can be determined by equation (2):
Figure BDA0002861648750000096
in the formula, AjThe running cost of the unit j under the minimum technical output is obtained; v. ofj,tThe system is a Boolean variable which represents the starting and stopping state of the unit j in the time period t, wherein 0 is stopping and 1 is starting; lambda [ alpha ]l,jQuoting the electric energy of the unit j in the section l; deltal,j,tGenerating power of the j unit in the section I of the section quotation function at the time period t; p is a radical ofj,tGenerating output power for the unit j in the time period t;
Figure BDA0002861648750000097
P jrespectively the maximum and minimum technical output of the unit j; el,jThe upper limit of the generated power of the segment I in the piecewise linear quotation function is defined; NLjThe number of segments of the piecewise linear electricity price function;
the start-up cost can be determined by equation (3):
Figure BDA0002861648750000098
in the formula (I), the compound is shown in the specification,
Figure BDA0002861648750000099
the starting quotation of the unit j is given;
the deep peak regulation cost is divided into a first section of deep peak regulation cost and a second section of deep peak regulation cost; the first depth peaking cost may be calculated by equation (4):
Figure BDA00028616487500000910
in the formula (I), the compound is shown in the specification,
Figure BDA00028616487500000911
carrying out deep peak regulation and quotation on the first section of the unit j;
Figure BDA00028616487500000912
the deep peak regulation power of the first section of the unit j in the t period is obtained; etajbIs the basic peak-shaving lower limit load rate, etatf1The lower limit load rate of deep peak regulation;
the second stage depth peak-shaving cost can be obtained by equation (5):
Figure BDA0002861648750000101
in the formula (I), the compound is shown in the specification,
Figure BDA0002861648750000102
carrying out deep peak regulation quotation for the second section of the unit j;
Figure BDA0002861648750000103
the deep peak regulation power of the unit j in the second section of the t period is obtained;
the penalty cost of the new energy power limit can be obtained by the following formula (6):
Figure BDA0002861648750000104
in the formula, λwA penalty coefficient for limiting the electricity of the new energy;
Figure BDA0002861648750000105
and the electric power is limited for the new energy in the t period.
103. Setting a constraint condition of the combined output model;
specifically, the constraints include: the method comprises the following steps of power balance and standby constraint, thermal power unit operation boundary constraint and new energy operation boundary constraint;
the power balance and backup constraints are:
Figure BDA0002861648750000106
in the formula (I), the compound is shown in the specification,
Figure BDA0002861648750000107
is a power balance constraint;
Figure BDA0002861648750000108
and
Figure BDA0002861648750000109
constraint for standby;
Figure BDA00028616487500001010
actual power generation power of the new energy source is in a time period t; dtLoad power for a period t; epsilondThe system standby rate; epsilonwReliability of power generation for new energy;
Figure BDA00028616487500001011
the maximum possible generating power of the unit j in the time period t is obtained;
the new energy operation boundary constraint is as follows:
Figure BDA00028616487500001012
in the formula (I), the compound is shown in the specification,
Figure BDA00028616487500001013
predicting power for the new energy power generation in the time period t;
the thermal power generating unit operation boundary constraint comprises the following steps: the method comprises the following steps of (1) unit output range constraint, climbing rate constraint, minimum startup time constraint and minimum shutdown time constraint;
the unit output range constraint is as follows:
Figure BDA0002861648750000111
in the formula (I), the compound is shown in the specification,
Figure BDA0002861648750000112
respectively the maximum output and the minimum output of the unit j in the time period t;
the unit climbing rate constraint is as follows:
Figure BDA0002861648750000113
in the formula, RUj、RDjThe up-and-down climbing rates of the unit j are respectively set; SUj、SDjThe ramp rates of the starting and stopping of the unit j are respectively;
the minimum starting time constraint of the unit is as follows:
Figure BDA0002861648750000114
in the formula (I), the compound is shown in the specification,
Figure BDA0002861648750000115
the minimum startup time of the unit j; NT is the number of cycle periods; gjThe number of time intervals in which the unit j must be started in the period starting time interval;
unit minimum down time constraint:
Figure BDA0002861648750000116
wherein the content of the first and second substances,
Figure BDA0002861648750000117
minimum downtime of unit j; l isjThe number of periods that must be shut down for the start period of the unit j cycle.
104. Inputting the next-day electric load, the new energy power generation predicted power data and the quotation parameters into the combined clearing model, and calculating according to constraint conditions to obtain the next-day operation plan of the electric energy market for clearing and the power limit power of the new energy;
specifically, the minimum value of the output of the thermal power generating unit is adjusted to the lower limit of the basic peak regulation, and the value in the formula (9) is
Figure BDA0002861648750000121
Is calculated according to equation (13):
Figure BDA0002861648750000122
inputting the acquired information and parameters into a model, and calculating the combined clear model by using an optimization solver to obtain the starting and stopping states vj, t of the thermal power generating unit at each time period of the next day and the output power of the thermal power generating unit at each time period
Figure BDA0002861648750000123
The electricity-limited power of the new energy in each time period
Figure BDA0002861648750000124
The predicted results of the electric energy market in the day ahead, namely the next-day operation plan of the predicted electric energy market and the power limit of the new energy are shown in table 5:
TABLE 5
Figure BDA0002861648750000125
Figure BDA0002861648750000131
As can be seen from Table 5, the electricity-limited power of the new energy exists in each time period from 1 to 5 and from 23 to 24. In these periods, the peak shaving market needs to be developed for thermal power deep peak shaving to reduce the new energy power limit, so that the two markets need to be combined and cleared again.
105. And obtaining a next day operation plan and a new energy power generation power and electricity limiting power predicted value which are jointly cleared again according to the next day operation plan which is foreseen to be cleared by the electric energy market and the electricity limiting power of the new energy.
Specifically, the thermal power generating unit is started and stoppedj,tSetting the calculation result according to the formula (13) as a constant, and utilizing the electricity-limited power of the new energy in each time period
Figure BDA0002861648750000132
Determining new energy power limit time period Ut；
When in use
Figure BDA0002861648750000133
While, U t1 is ═ 1; when in use
Figure BDA0002861648750000134
While, Ut＝0；
In the non-new energy electricity limiting period, the output range of the thermal power generating unit is set as
Figure BDA0002861648750000135
The output range of the thermal power generating unit in the new energy electricity limiting period is set as
Figure BDA0002861648750000136
Calculated according to equation (14) in equation (9)
Figure BDA0002861648750000137
Figure BDA0002861648750000138
The value:
Figure BDA0002861648750000139
due to the on-off state v of the thermal power generating unitj,tThe calculation does not contain the minimum starting time of the unit and the minimum stopping time constraint of the unit;
calculating the combined discharge by using an optimization solver to obtain the next-day planned generating power p of the thermal power generating unitj,tPlanned generated power of new energy
Figure BDA00028616487500001310
And limit electric power
Figure BDA00028616487500001311
The combined reiteration results of the two markets, namely the next-day operation plan of the combined reiteration, the new energy power generation power and the limited power are shown in table 6, and the output distribution among the power sources is shown in fig. 3.
TABLE 6
Figure BDA00028616487500001312
Figure BDA0002861648750000141
As can be seen from FIG. 3, in the period of new energy power limitation, the two-gear deep peak shaving of the unit plays a role, and part of new energy is consumed. However, some new energy sources are still not consumed due to the climbing rate and the system standby requirement. It can be seen from the 23 th period in table 6 that when the new energy resource is low in power limit, only 8 units with low peak regulation quotation perform deep peak regulation, and the rule of priority of low-priced people is followed. The 24 periods in the table 6 also prove that the rule is still established, because the quotation of the deep peak regulation second section is higher than that of the deep peak regulation first section, each starting unit enters the deep peak regulation first section, the rated capacities of the 3, 4 and 6 units with lower peak regulation quotation of the deep peak regulation first section are all used up, and the unit1 with higher peak regulation price only uses one part of the capacity of the deep peak regulation first section, so that the result accords with the design rule.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (6)

1. A day-ahead electric energy market and deep peak shaving service market combined clearing method is characterized by comprising the following steps:
acquiring the next day of electric load and new energy power generation predicted power data; setting technical parameters of the thermal power generating unit of the next day and obtaining quotation parameters of the thermal power generating unit, wherein the quotation parameters comprise: the method comprises the following steps of (1) carrying out electric energy quotation, starting quotation and peak shaving quotation on a thermal power generating unit;
establishing a combined clearing model; obtaining a target function of the combined output model by calculating the day-ahead electric energy cost, the deep peak regulation cost and the punishment cost of the new energy power limit;
setting a constraint condition of the combined output model;
inputting the next-day electric load, the new energy power generation predicted power data and the quotation parameter into the combined clearing model, and calculating to obtain the next-day operation plan of the electric energy market due and the electricity limiting power of the new energy according to the constraint condition;
and obtaining a next day operation plan and a new energy power generation power and electricity limiting power predicted value which are jointly output again according to the next day operation plan and the electricity limiting power of the new energy which are expected to be output by the electric energy market.
2. The method of claim 1, wherein the combined clearing model comprises: the day-ahead electric energy cost, the deep peak regulation cost and the punishment cost of the new energy electricity limiting; the day-ahead electric energy cost comprises the following steps: operating costs and start-up costs; the expression of the combined clear model z is as follows:
Figure FDA0002861648740000011
in the formula (I), the compound is shown in the specification,
Figure FDA0002861648740000012
the operation cost of the unit j in the time period t is obtained;
Figure FDA0002861648740000013
starting and stopping cost of the unit j in the time period t;
Figure FDA0002861648740000014
the cost of the first section of the deep peak shaving of the unit j in the t period;
Figure FDA0002861648740000015
the cost of the second section of deep peak shaving of the unit j in the time period t;
Figure FDA0002861648740000016
the penalty cost for the new energy power limit in the t period; t is a set of time periods; j is the set of the units.
3. The method for achieving combined clearing of the electric energy market day ahead and the deep peak shaving service market according to claim 2, wherein the obtaining of the objective function of the combined clearing model through calculating the electric energy cost day ahead, the deep peak shaving cost and the penalty cost of new energy power limit comprises: taking the minimum value of the sum of the day-ahead electric energy cost, the deep peak regulation cost and the punishment cost of the new energy power limit as a target function;
the operating cost is determined by equation (2):
Figure FDA0002861648740000021
in the formula, AjThe running cost of the unit j under the minimum technical output is obtained; v. ofj,tThe system is a Boolean variable which represents the starting and stopping state of the unit j in the time period t, wherein 0 is stopping and 1 is starting; lambda [ alpha ]l,jQuoting the electric energy of the unit j in the section l; deltal,j,tGenerating power of the j unit in the section I of the section quotation function at the time period t; p is a radical ofj,tGenerating output power for the unit j in the time period t;
Figure FDA0002861648740000022
P jrespectively the maximum and minimum technical output of the unit j;El,jthe upper limit of the generated power of the segment I in the piecewise linear quotation function is defined; NLjThe number of segments of the piecewise linear electricity price function;
the starting cost is obtained by the formula (3):
Figure FDA0002861648740000023
in the formula (I), the compound is shown in the specification,
Figure FDA0002861648740000024
the starting quotation of the unit j is given;
the deep peak regulation cost is divided into a first section of deep peak regulation cost and a second section of deep peak regulation cost; the first-stage depth peak regulation cost is obtained by the formula (4):
Figure FDA0002861648740000025
in the formula (I), the compound is shown in the specification,
Figure FDA0002861648740000026
carrying out deep peak regulation and quotation on the first section of the unit j;
Figure FDA0002861648740000027
the deep peak regulation power of the first section of the unit j in the t period is obtained; etajbIs the basic peak-shaving lower limit load rate, etatf1The lower limit load rate of deep peak regulation;
the second stage depth peak shaving cost is calculated by equation (5):
Figure FDA0002861648740000028
in the formula (I), the compound is shown in the specification,
Figure FDA0002861648740000029
carrying out deep peak regulation quotation for the second section of the unit j;
Figure FDA00028616487400000210
the deep peak regulation power of the unit j in the second section of the t period is obtained;
the penalty cost of the new energy power limit is obtained by the following formula (6):
Figure FDA0002861648740000031
in the formula, λwA penalty coefficient for limiting the electricity of the new energy;
Figure FDA0002861648740000032
and the electric power is limited for the new energy in the t period.
4. The method for the joint clearing of the day-ahead electric energy market and the deep peak shaving service market according to claim 3, wherein the constraints of the joint clearing model comprise:
the constraint conditions comprise: the method comprises the following steps of power balance and standby constraint, thermal power unit operation boundary constraint and new energy operation boundary constraint;
the power balance and backup constraints are:
Figure FDA0002861648740000033
Figure FDA0002861648740000034
load power of the segment; epsilondThe system standby rate; epsilonwReliability of power generation for new energy;
Figure FDA0002861648740000038
the maximum possible generating power of the unit j in the time period t is obtained;
the new energy operation boundary constraint is as follows:
Figure FDA0002861648740000035
in the formula, Pt wPredicting power for the new energy power generation in the time period t;
the thermal power generating unit operation boundary constraint comprises the following steps: the method comprises the following steps of (1) unit output range constraint, climbing rate constraint, minimum startup time constraint and minimum shutdown time constraint;
the unit output range constraint is as follows:
Figure FDA0002861648740000036
in the formula (I), the compound is shown in the specification,
Figure FDA0002861648740000037
respectively the maximum output and the minimum output of the unit j in the time period t;
the unit climbing rate constraint is as follows:
Figure FDA0002861648740000041
in the formula, RUj、RDjThe up-and-down climbing rates of the unit j are respectively set; SUj、SDjThe ramp rates of the starting and stopping of the unit j are respectively;
the minimum starting time constraint of the unit is as follows:
Figure FDA0002861648740000042
in the formula (I), the compound is shown in the specification,
Figure FDA0002861648740000043
the minimum startup time of the unit j; NT is the number of cycle periods; gjThe number of time intervals in which the unit j must be started in the period starting time interval;
unit minimum down time constraint:
Figure FDA0002861648740000044
wherein the content of the first and second substances,
Figure FDA0002861648740000045
minimum downtime of unit j; l isjThe number of periods that must be shut down for the start period of the unit j cycle.
5. The method for the combined clearing of the day-ahead electric energy market and the deep peak shaving service market according to claim 4, wherein the step of calculating the electric power limit of the next day operation plan and the new energy source for obtaining the electric energy market pre-clearing according to the constraint condition comprises the following steps:
adjusting the minimum value of the output of the thermal power generating unit to the lower limit of the basic peak regulation, and adjusting the value in the formula (9)
Figure FDA0002861648740000046
Is calculated according to equation (13):
Figure FDA0002861648740000051
inputting the acquired information and parameters into a model, and calculating the combined clear model by using an optimization solver to obtain the starting and stopping state v of the thermal power generating unit at each period of the next dayj,tOutput of the unit in each time interval
Figure FDA0002861648740000052
The electricity-limited power of the new energy in each time period
Figure FDA0002861648740000053
6. The method for the combined release of the electric energy market before day and the deep peak shaving service market according to claim 5, wherein the step of obtaining the combined released next-day operation plan and the new energy generation power and the electricity limiting power according to the predicted next-day operation plan and the electricity limiting power of the new energy of the electric energy market comprises the following steps:
starting and stopping state v of thermal power generating unitj,tSetting the calculation result according to the formula (13) as a constant, and utilizing the electricity-limited power of the new energy in each time period
Figure FDA0002861648740000054
Determining new energy power limit time period Ut；
When in use
Figure FDA0002861648740000055
While, Ut1 is ═ 1; when in use
Figure FDA0002861648740000056
While, Ut＝0；
In the non-new energy electricity limiting period, the output range of the thermal power generating unit is set as
Figure FDA0002861648740000057
The output range of the thermal power generating unit in the new energy electricity limiting period is set as
Figure FDA0002861648740000058
Calculated according to equation (14) in equation (9)
Figure FDA0002861648740000059
Figure FDA00028616487400000510
The value:
Figure FDA00028616487400000511
because the thermal power generating unit is startedShutdown State vj,tThe calculation does not contain the minimum starting time of the unit and the minimum stopping time constraint of the unit;
calculating the combined discharge by using an optimization solver to obtain the next-day planned generating power p of the thermal power generating unitj,tPlanned generated power of new energy
Figure FDA00028616487400000512
And limit electric power
Figure FDA00028616487400000513
CN202011565481.2A 2020-12-25 2020-12-25 Day-ahead electric energy market and deep peak shaving service market combined clearing method Active CN112787359B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011565481.2A CN112787359B (en) 2020-12-25 2020-12-25 Day-ahead electric energy market and deep peak shaving service market combined clearing method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011565481.2A CN112787359B (en) 2020-12-25 2020-12-25 Day-ahead electric energy market and deep peak shaving service market combined clearing method

Publications (2)

Publication Number Publication Date
CN112787359A true CN112787359A (en) 2021-05-11
CN112787359B CN112787359B (en) 2023-03-21

Family

ID=75752551

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011565481.2A Active CN112787359B (en) 2020-12-25 2020-12-25 Day-ahead electric energy market and deep peak shaving service market combined clearing method

Country Status (1)

Country Link
CN (1) CN112787359B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113595064A (en) * 2021-07-16 2021-11-02 国网吉林省电力有限公司经济技术研究院 Electric energy and AGC market clearing method considering heat accumulating type electric heating load cluster
CN117196686A (en) * 2023-11-08 2023-12-08 国网湖北省电力有限公司经济技术研究院 Deep peak-shaving market sequential clearing method based on electric energy and frequency modulation combined market

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108879796A (en) * 2018-08-10 2018-11-23 广东电网有限责任公司 Electric power ahead market goes out clear calculation method, system, device and readable storage medium storing program for executing
CN110224399A (en) * 2019-06-12 2019-09-10 广东电网有限责任公司 Power spot market based on wind power plant goes out clearing method, device and storage medium

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108879796A (en) * 2018-08-10 2018-11-23 广东电网有限责任公司 Electric power ahead market goes out clear calculation method, system, device and readable storage medium storing program for executing
CN110224399A (en) * 2019-06-12 2019-09-10 广东电网有限责任公司 Power spot market based on wind power plant goes out clearing method, device and storage medium

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
赵晋泉等: "考虑虚拟电厂参与的深度调峰市场机制与出清模型", 《全球能源互联网》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113595064A (en) * 2021-07-16 2021-11-02 国网吉林省电力有限公司经济技术研究院 Electric energy and AGC market clearing method considering heat accumulating type electric heating load cluster
CN113595064B (en) * 2021-07-16 2024-02-02 国网吉林省电力有限公司经济技术研究院 Electric energy and AGC market clearing method considering heat accumulating type electric heating load cluster
CN117196686A (en) * 2023-11-08 2023-12-08 国网湖北省电力有限公司经济技术研究院 Deep peak-shaving market sequential clearing method based on electric energy and frequency modulation combined market
CN117196686B (en) * 2023-11-08 2024-01-30 国网湖北省电力有限公司经济技术研究院 Deep peak-shaving market sequential clearing method based on electric energy and frequency modulation combined market

Also Published As

Publication number Publication date
CN112787359B (en) 2023-03-21

Similar Documents

Publication Publication Date Title
CN110417048B (en) Direct-current power grid transmitting and receiving end combined peak regulation optimization method considering source grid load constraint
Arnold et al. Model predictive control of energy storage including uncertain forecasts
CN112787359B (en) Day-ahead electric energy market and deep peak shaving service market combined clearing method
El-Sharkh et al. Cost related sensitivity analysis for optimal operation of a grid-parallel PEM fuel cell power plant
O'Sullivan et al. A new methodology for the provision of reserve in an isolated power system
Fu et al. Research on joint optimal dispatching method for hybrid power system considering system security
CN112288490A (en) Method and system for clearing units with different power generation costs in electric power spot market
CN106684928B (en) Power grid peak regulation margin calculation method based on peak regulation cost
CN114421460A (en) Multifunctional power grid dispatching system and method containing electric automobile aggregators
Shahhosseini et al. An efficient stochastic programming for optimal allocation of combined heat and power systems for commercial buildings using
CN115864376A (en) Multi-time scale power supply conservation analysis method and system
CN112398176B (en) Day-ahead optimized scheduling method of water-fire-wind mutual aid system considering start-stop peak regulation of coal-fired unit
CN112085276B (en) Capacity proportioning optimization method for power supply system containing high-permeability wind-solar power generation
CN116957800A (en) Business transaction method and device based on market clearing model
CN115864398B (en) Comprehensive energy distributed management scheduling method and system
CN110929959B (en) Method and device for allocating local deep peak regulation expense of power grid
CN110571868B (en) Optimal configuration method of micro-grid
CN116544953A (en) Flexible resource robust scheduling method for large-scale data center micro-grid group
CN106981887A (en) A kind of intelligent allocation method of virtual plant based on similar day
CN116663299A (en) Stock market clearing method and system considering new energy unit
CN116629513A (en) Multi-time-scale market clearing method considering standby demand curve
CN115411741A (en) Dynamic load distribution method and device for thermoelectric generator group
CN114362255A (en) Multi-target day-ahead scheduling optimization method and system for source-network charge storage power system
CN112001522A (en) STN state network-based energy consumption optimization method for special transformer users
CN115063038B (en) Reporting method and device of peak regulation auxiliary service, electronic equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant