CN106845807B - Settlement method and device based on peak regulation auxiliary service - Google Patents

Settlement method and device based on peak regulation auxiliary service Download PDF

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CN106845807B
CN106845807B CN201710015450.1A CN201710015450A CN106845807B CN 106845807 B CN106845807 B CN 106845807B CN 201710015450 A CN201710015450 A CN 201710015450A CN 106845807 B CN106845807 B CN 106845807B
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汪洋
林伟
张化清
冯慧丽
李承东
张喆
戴晓娟
赵燃
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Abstract

The invention discloses a settlement method of a peak regulation auxiliary service, which receives deep peak regulation prices sent by a plurality of thermal power generating units according to a flexible sectional quotation rule, introduces variables of the deep peak regulation prices into a rolling power generation model, establishes corresponding relaxation conditions, establishes an optimized objective function of the peak regulation auxiliary service after assigning the relaxation variables, solves the rolling power generation plan model according to other related constraint conditions to obtain a rolling power generation plan so as to obtain a deep peak regulation calling result of each thermal power generating unit, settles the actual peak regulation electric quantity according to the deep peak regulation calling result of each thermal power generating unit and the corresponding deep peak regulation price, solves the problems that the sectional and minimum price limit influence the excellent peak regulation capacity and high cost of the thermal power generating units in the existing peak regulation auxiliary service market, and can enable the thermal power generating units with stronger peak regulation capacity and lower cost to fully exert competitive advantages, and the full and effective competition of peak shaving resources is realized.

Description

Settlement method and device based on peak regulation auxiliary service
Technical Field
The invention relates to the field of power markets, in particular to a settlement method and device based on peak shaving auxiliary service.
Background
The foreign electric power market adopts a market pricing mechanism, and the electric energy prices in different periods are determined by the quotation of a generator and the market supply and demand relationship. The foreign electricity market does not generally consider peak shaving services as auxiliary services, and peak shaving is brought into the spot market, and cost is digested by time-of-use electricity prices. Some power markets also introduce negative pricing mechanisms, such as denmark, where the cost of generating electricity from wind or conventional power sources when the power supply is greater than demand also provides a source of system balancing costs.
In China, real-time deep peak shaving is one of auxiliary services, and means that a thermal power generating unit provides auxiliary services when the load rate is smaller than the compensated peak shaving reference through power output reduction in the day. The peak regulation auxiliary service with the load rate more than or equal to the paid peak regulation reference belongs to the basic obligation borne by the thermal power generating unit, and is called by a dispatching organization without compensation.
The operation rules of the electric power auxiliary service market in China stipulate that a thermal power plant needs to submit a paid peak shaving auxiliary service price in the day ahead, a 'step type' quotation mode and a price mechanism are adopted for real-time deep peak shaving transaction, the thermal power plant carries out floating quotation in two grades at different periods, and each grade of quotation is provided with an upper limit and a lower limit. The mode of adding the limit price in sections splits the quotation and the continuity of the whole market, influences the fair and ordered competition of the market and is mainly reflected in that:
(1) segmentation and minimum price limit the excellent unit to fully exert the peak regulation capability, and the purchase cost of the peak regulation auxiliary service is raised.
The price limit divides the compensated peak-shaving quotation space into two sections, and limits the lowest declaration price of the second section of deep peak shaving, and the rationality of the lowest price limit directly influences the fairness of transaction competition. The lowest price limit is too high, so that a part of units with stronger peak regulation capacity and lower cost cannot fully exert competitive advantages, and the price higher than the price limit must be reported, so that the unit can lose part of market share, and the peak regulation auxiliary service cost of the system is raised integrally.
(2) And the segmentation and the maximum price protect part of rear-entry units to a certain extent, so that the full and effective competition of peak shaving resources is difficult to realize.
Due to the limitation of sectional price limit, the pricing of the first-stage peak-shaving resource is limited to be lower than the second-stage peak-shaving quotation, a part of units with poor regulation performance can fully utilize the price limit requirement, the peak-shaving market share is obtained through the high quotation at the first stage of peak shaving, the second-stage peak-shaving capacity of a part of power plants with excellent regulation performance cannot be fully exerted, inferior coins are rejected to good coins, peak-shaving resources cannot be fully exerted, and market competition is disordered. Under the conditions that the current peak regulation compensation force is insufficient and peak regulation resources are relatively in short supply, the existence of limit price inevitably guides market members to gradually approach the upper limit of quotation in the first section, and finally market failure is caused.
At present, the power grid of China still mainly adopts a 'three-public' (fair, fair and open) scheduling mode, and the basis of power scheduling is the annual electric quantity plan completion progress balance of a power plant. The conventional auxiliary service market only considers market competition and configuration of peak shaving resources from the perspective of peak shaving bidding, and does not carefully consider how the peak shaving market is coordinated and optimized with the three public electric quantities, so that the peak shaving market may cause execution deviation of the three public electric quantities.
Nowadays, China faces two serious problems, namely surplus electric installation amount and unbalanced power supply structure. In recent years, the types of newly added power supplies in many areas of China mainly comprise a thermoelectric power supply unit and a wind power supply unit, and the proportion of the two types of power supplies is higher and higher. Because the thermoelectric unit is concerned with the civil heat supply problem, the wind power unit is concerned with the new energy development problem, and both the two power supplies (the thermoelectric unit in the winter heat supply period) need to be connected with the internet preferentially to generate electricity, so that the peak regulation capacity of the daily operation unit of the power grid (particularly in the winter heat supply period) is gradually reduced, even the peak regulation capacity is lower than the natural peak-valley difference of load in certain time periods, and measures such as wind abandoning and electricity limiting, single-machine operation of the heat supply unit and the like have to be adopted to ensure the overall safe operation of the power grid.
Disclosure of Invention
The embodiment of the invention aims to provide a settlement method and a settlement device based on peak-shaving auxiliary service, which can effectively solve the problems that the good unit peak-shaving capability is influenced by segmentation and minimum price limit in the existing peak-shaving auxiliary service market and the cost is high, overcome the defect that the existing power system is excessively installed and the power supply structure is unbalanced and the utilization efficiency is low, and realize the flexible calling of low-price deep peak-shaving resources of a power grid under the conditions of power balance and power grid safety.
In order to achieve the above object, an embodiment of the present invention provides a settlement method based on a peak shaving auxiliary service, including:
s1, receiving active power output adjustable intervals and corresponding deep peak shaving prices sent by a plurality of thermal power generating units in a specific time period according to flexible segmentation quotation rules;
s2, introducing variables of the deep peak shaving prices into a pre-established rolling power generation plan model, constructing corresponding deep relaxation constraint conditions, giving the deep peak shaving prices of the thermal power generating units to the corresponding relaxation variables, generating an optimization objective function of the peak shaving auxiliary service, and introducing other related constraint conditions into the rolling power generation plan model;
s3, solving the rolling power generation plan model through a linear programming optimization toolkit according to the other related constraint conditions and the optimization objective function of the peak shaving auxiliary service to obtain a rolling power generation plan; the rolling power generation plan comprises a deep peak regulation calling result of each thermal power generating unit;
s4, carrying out AC safety check on the rolling power generation plan in the step S3;
s5, if the alternating current safety check of the rolling power generation plan passes, sending a deep peak shaving calling result of the corresponding thermal power generating unit to each thermal power generating unit;
and S6, settling the actual peak shaving electric quantity according to the corresponding deep peak shaving price of each thermal power generating unit and the deep peak shaving calling result of each thermal power generating unit.
Compared with the prior art, the settlement method based on the peak shaving auxiliary service disclosed by the invention receives the peak shaving rates and the corresponding deep peak shaving prices sent by a plurality of thermal power generating units in a specific time period according to the flexible sectional quotation rule, introduces the variable of the deep peak shaving prices into the rolling power generation model, establishes the corresponding relaxation conditions, assigns the relaxation variables, establishes the optimized objective function of the peak shaving auxiliary service, solves the rolling power generation plan model according to other related constraint conditions to obtain the rolling power generation plan so as to obtain the deep peak shaving calling result of each thermal power generating unit, settles the actual peak shaving electric quantity according to the deep peak shaving calling result of each thermal power generating unit and the corresponding deep peak shaving prices, and solves the problems that the section and the lowest price influence the excellent thermal power generating units to exert the peak shaving capacity and the high cost in the existing peak shaving auxiliary service market, the method overcomes the defects of excessive installation of the existing electric power system and unbalanced power supply structure and low utilization efficiency, can fully exert competitive advantages of a unit with strong peak regulation capability and low cost, occupies market share, integrally reduces the peak regulation auxiliary service cost of the system, realizes full and effective competition of peak regulation resources, flexibly calls low-cost deep peak regulation resources of a power grid under the conditions of electric power balance and power grid safety, embeds the rules of the peak regulation auxiliary service market into the existing rolling power generation plan model, recovers the deep peak regulation quotation and the continuity of the whole market, effectively determines the clearing price of auxiliary service, and realizes the coordinated scheduling of the peak regulation auxiliary service market and 'three public' electric quantity.
As an improvement of the above solution, the other constraints related to the rolling power generation planning model include load balancing constraints, which are:
Figure GDA0002548280820000041
wherein, Pi,tFor the power generating unit i, the value of the power output in the time period t is calculated, and DtTD is the set of all time periods in the day, which is the system load for time period t.
As an improvement of the above scheme, other constraint conditions related to the rolling power generation planning model include electric quantity deviation amount control constraint conditions, where the electric quantity deviation amount control constraint conditions specifically include:
Figure GDA0002548280820000042
Figure GDA0002548280820000043
wherein, Pi,tThe power output value of the thermal power generating unit in the period i t is obtained,
Figure GDA0002548280820000044
for thermal power generating unit i at tNThe electric quantity control target by the time period T,
Figure GDA0002548280820000045
is as followsThe deviation is limited to the extent that,
Figure GDA0002548280820000046
the lower deviation is.
Figure GDA0002548280820000047
Is an upper limit deviation when
Figure GDA0002548280820000048
The electric quantity of the optimization result exceeds the target electric quantity and is punished;
Figure GDA0002548280820000049
to a lower limit deviation when
Figure GDA00025482808200000410
The time indicates that the electric quantity of the optimization result is lower than the target electric quantity, and the optimization result is also punished.
As an improvement of the above scheme, other constraint conditions related to the rolling power generation planning model include a unit operation constraint condition, the unit operation constraint condition includes a unit output upper and lower limit constraint condition and a unit climbing rate constraint condition, wherein the unit output upper and lower limit constraint condition specifically includes:
Figure GDA0002548280820000051
wherein, Pi,tThe active output value of the thermal power generating unit i in the time period t is obtained,
Figure GDA0002548280820000052
and
Figure GDA0002548280820000053
respectively are the upper and lower limit values of the active power output of the thermal power generating unit i in the time period t:
the unit climbing rate constraint conditions are as follows:
Figure GDA0002548280820000054
wherein, Pi,tThe power output value of the thermal power generating unit in the period i t is obtained,
Figure GDA0002548280820000055
and
Figure GDA0002548280820000056
and the output power of the thermal power generating unit at the period i is adjusted downwards and the maximum climbing capacity is adjusted upwards respectively.
As an improvement of the above scheme, the other constraint conditions related to the rolling power generation planning model include a ground state power flow constraint condition, where the ground state power flow constraint condition is specifically:
Figure GDA0002548280820000057
wherein G isl-iTransfer distribution factor for generator of line l for node where unit i is located, Dj,tIs the load of node j in time period t, fl maxIs the active power flow limit, P, of the line li,tFor the active power output value G of the thermal power generating unit i in the time period tl-jThe distribution factor is shifted for the generator of node j to line l.
As an improvement of the above scheme, the depth relaxation constraint condition includes a peak shaving auxiliary service compensation penalty value constraint condition, and the peak shaving auxiliary service compensation penalty value constraint condition specifically includes:
Figure GDA0002548280820000058
wherein, Pi,tThe power output value of the thermal power generating unit in the period i t is obtained,
Figure GDA0002548280820000059
the lower limit value of the active power output of the thermal power generating unit i in the time period t is shown,i,l,tand (4) the value of the relaxation variable of the thermal power generating unit i in the ith period of the time t.
As an improvement of the above scheme, the peak shaving auxiliary service cost specifically is:
Figure GDA0002548280820000061
wherein, Ci,tC, quoting the peak shaving auxiliary service cost corresponding to the thermal power generating unit i in the time period ti,lFor the quotation of the thermal power generating unit i in the l section, and MlThe penalty value for the first segment quoted,i,l,tand (4) the value of the relaxation variable of the thermal power generating unit i in the ith period of the time t.
As an improvement of the above scheme, the optimization target of the peak shaving auxiliary service specifically is:
Figure GDA0002548280820000062
wherein, Fi,tPunishing cost for electric quantity deviation of the thermal power generating unit i in a time period t; ci,tα for the peak shaving auxiliary service cost corresponding to the time interval t of the thermal power generating unit iiIs a reference proportion of economic indexes. The proportion can be flexibly adjusted according to the electric quantity progress execution condition and the peak regulation demand, and when the electric quantity progress execution pressure is higher, the proportion of corresponding 'three public' electric quantity can be increased; and when the electric quantity progress execution pressure is light and the peak regulation pressure is large, increasing the specific gravity of the corresponding peak regulation penalty value.
As an improvement of the above, the method further comprises the steps of:
and S7, if the AC safety check of the rolling power generation plan does not pass, introducing feedback safety check constraint conditions into the rolling power generation plan model, and then turning to the step S3.
The embodiment of the invention also provides a settlement device based on the peak regulation auxiliary service, which comprises:
the deep peak regulation price receiving module is used for receiving active power output adjustable intervals and corresponding deep peak regulation prices sent by a plurality of thermal power generating units in a specific time period according to a flexible subsection quotation rule;
the constraint condition introducing module is used for introducing the variable of the deep peak shaving price into a pre-established rolling power generation plan model, constructing corresponding deep relaxation constraint conditions, giving the deep peak shaving price of each thermal power generating unit to the corresponding relaxation variable, generating an optimization objective function of the peak shaving auxiliary service, and introducing other related constraint conditions into the rolling power generation plan model;
the plan power generation model solving module is used for solving the rolling power generation plan model through a linear programming optimization toolkit according to the other related constraint conditions and the optimization objective function of the peak shaving auxiliary service to obtain a rolling power generation plan; the rolling power generation plan comprises a deep peak shaving calling result of each thermal power generating unit;
the alternating current safety check module is used for performing alternating current safety check on the rolling power generation plan;
the transmitting module is used for transmitting a deep peak shaving calling result of the corresponding thermal power generating unit to each thermal power generating unit if the alternating current safety check of the rolling power generation plan passes;
and the settlement module is used for settling the actual peak shaving electric quantity according to the corresponding deep peak shaving price of each thermal power generating unit and the deep peak shaving calling result of each thermal power generating unit.
Compared with the prior art, the settlement device based on the peak shaving auxiliary service disclosed by the invention receives the peak shaving rates and the corresponding deep peak shaving prices sent by a plurality of thermal power generating units in a specific time period according to a flexible sectional quotation rule, introduces the variable of the deep peak shaving prices into a rolling power generation model, establishes a corresponding relaxation condition, assigns the relaxation variable, establishes an optimized target function of the peak shaving auxiliary service, solves the rolling power generation plan model according to other related constraint conditions to obtain a rolling power generation plan so as to obtain the deep peak shaving calling result of each thermal power generating unit, settles the actual peak shaving electric quantity according to the deep peak shaving calling result of each thermal power generating unit and the corresponding deep peak shaving prices, and solves the problems that the superior thermal power generating units have peak shaving capacity and high cost in the conventional peak shaving auxiliary service market due to the sectional and minimum price influences, the defect that the existing power system is excessive in installation and unbalanced in power structure and low in utilization efficiency is overcome, the unit with high peak regulation capacity and low cost can fully exert competitive advantages, market share is taken, the peak regulation auxiliary service cost of the system is integrally reduced, full and effective competition of peak regulation resources is realized, low-cost deep peak regulation resources of a power grid are flexibly called under power balance and power grid safety, rules of the peak regulation auxiliary service market are embedded into an existing rolling power generation plan model, and the peak regulation auxiliary service market and coordinated dispatching of 'three public' electric quantities are realized.
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Fig. 1 is a schematic flow chart of a settlement method based on a peak shaving auxiliary service according to embodiment 1 of the present invention.
Fig. 2 is a schematic flow chart of a settlement method based on a peak shaving auxiliary service according to embodiment 2 of the present invention.
FIG. 3 is a coordinate diagram of a preferred embodiment of the flexible segment pricing provided by the present invention.
Fig. 4 is a schematic coordinate diagram of the peak shaving amount and the peak shaving prices of different thermal power generating units provided by the invention.
Fig. 5 is a schematic structural diagram of a settlement apparatus based on a peak shaving auxiliary service according to embodiment 3 of the present invention.
Detailed Description
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 only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a schematic flow chart of a settlement method based on a peak shaving auxiliary service provided in embodiment 1 of the present invention includes the steps of:
s1, receiving active power output adjustable intervals and corresponding deep peak shaving prices sent by a plurality of thermal power generating units in a specific time period according to flexible segmentation quotation rules;
s2, introducing variables of the deep peak shaving prices into a pre-established rolling power generation plan model, constructing corresponding deep relaxation constraint conditions, giving the deep peak shaving prices of the thermal power generating units to the corresponding relaxation variables, generating an optimization objective function of the peak shaving auxiliary service, and introducing other related constraint conditions into the rolling power generation plan model;
s3, solving the rolling power generation plan model through a linear programming optimization toolkit according to the other related constraint conditions and the optimization objective function of the peak shaving auxiliary service to obtain a rolling power generation plan; the rolling power generation plan comprises a deep peak shaving calling result of each thermal power generating unit;
s4, carrying out AC safety check on the rolling power generation plan in the step S3;
s5, if the alternating current safety check of the rolling power generation plan passes, sending a deep peak shaving calling result of the corresponding thermal power generating unit to each thermal power generating unit;
and S6, settling the actual peak shaving electric quantity according to the corresponding deep peak shaving price of each thermal power generating unit and the deep peak shaving calling result of each thermal power generating unit.
Referring to fig. 2, which is a schematic flow chart of a settlement method based on a peak shaving auxiliary service provided in embodiment 2 of the present invention, the settlement method based on the peak shaving auxiliary service shown in fig. 2 further includes, on the basis of embodiment 1, the steps of:
and S7, if the AC safety check of the rolling power generation plan does not pass, introducing feedback safety check constraint conditions into the rolling power generation plan model, and then turning to the step S3.
Next, the operation of the above two embodiments will be described in detail. Firstly, according to a flexible sectional quotation rule, the thermal power generating unit which is willing to provide real-time deep peak shaving trading provides a peak shaving rate and a corresponding deep peak shaving price. Preferably, according to the idea of multi-section quotation of the units in the PJM concentrated spot market, each unit is allowed to declare the corresponding peak shaving auxiliary service quotation in a flexible and sectional mode. As shown in fig. 3, the specific declaration is:
(1) number of segments of quoted peak shaving rate: less than 50%, from 50% to 55%, from 55% to 60%, respectively, higher than 60%;
(2) the dividing point of the quoted peak shaving rate of each section is as follows: the 4 sections have three demarcation points which are respectively 50 percent, 55 percent and 60 percent;
(3) price quoted in each section: the 4-section quoted price is: the price is C when the content is less than or equal to 50%1C when the peak regulation rate is between 50% and 55%2C when the peak regulation rate is 55-60%3C when higher than 60%4。
The flexible sectional quotation mode gives market members full freedom, each unit can fully combine the actual operation characteristics of the unit, realizes a flexible quotation strategy with flexible sections and flexible quotation, actively participates in market competition, and fully exerts the resource optimization configuration benefits of the market.
And then, introducing a variable of the deep peak shaving price into a pre-established rolling power generation plan model, constructing a corresponding deep relaxation constraint condition, relaxing the lower limit of the unit output by the deep relaxation constraint condition, and preferentially calling the unit with lower deep peak shaving price to participate in system peak shaving according to the quotation condition. Because the output of the unit is firstly called in the normal output range during optimized calling, and when the balance constraint of the system valley power cannot be met, the lower limit relaxation variable of the output of the corresponding unit is called to participate in deep peak shaving. During specific peak regulation, if the deep regulation price of the second section is obviously higher than that of the first section, the optimization algorithm automatically calls the first section of deep regulation preferentially, and calls the second section of deep regulation resource after the first section of deep regulation resource is used up.
Then, giving the deep peak shaving price of each thermal power generating unit to a corresponding relaxation variable to generate an optimization objective function of the peak shaving auxiliary service, and solving the rolling power generation plan model through a linear programming optimization tool package according to other related constraint conditions to obtain a rolling power generation plan so as to obtain a deep peak shaving calling result of each thermal power generating unit; and if the alternating current safety check of the rolling power generation plan passes, sending a deep peak regulation calling result of the corresponding thermal power generating unit to each thermal power generating unit, and settling the actual peak regulation electric quantity according to the corresponding deep peak regulation price of each thermal power generating unit and the deep peak regulation calling result of each thermal power generating unit.
As shown in FIG. 4, the deep peak shaving prices, C, of different units under different peak shaving electric quantities1、C2、C3、C4The quotation can be made under different peak shaving rates corresponding to different units. And the deep peak shaving adopts a flexible sectional quotation principle, a scheduling mechanism is sequentially called from low to high according to the actual running needs of the power grid according to the day-ahead bidding results, the sections, the maximum price and the minimum price are not uniformly set for each unit, and the settlement is carried out according to the compensated peak shaving electric quantity and the corresponding market clearing price. Therefore, the scheme can enable the unit with stronger peak regulation capacity and lower cost to fully exert competitive advantages and occupy market share, so that the peak regulation auxiliary service cost of the system is integrally reduced, and full and effective competition of peak regulation resources is realized; meanwhile, the variable of the deep peak shaving price is introduced into the existing day rolling power generation plan model, the clearing price of the electric energy and the auxiliary service is effectively determined, and the peak shaving auxiliary service market and the coordinated dispatching of the 'three public' electric quantity are realized.
Preferably, the depth relaxation constraint condition includes a peak shaving auxiliary service compensation penalty value constraint condition, specifically:
Figure GDA0002548280820000101
wherein, Pi,tThe power output value of the thermal power generating unit in the period i t is obtained,
Figure GDA0002548280820000111
the lower limit value of the active power output of the thermal power generating unit i in the time period t is shown,i,l,tand (4) the value of the relaxation variable of the thermal power generating unit i in the ith period of the time t.
According to the relaxation variable value, a formula for calculating the peak shaving auxiliary service cost can be obtained, and the formula specifically comprises the following steps:
Figure GDA0002548280820000112
wherein, Ci,tC, quoting the peak shaving auxiliary service cost corresponding to the thermal power generating unit i in the time period ti,lFor the quotation of the thermal power generating unit i in the l section, and MlThe penalty value for the first segment quoted,i,l,tand (4) the value of the relaxation variable of the thermal power generating unit i in the ith period of the time t.
Further, according to the formula of the peak shaving auxiliary service cost, the optimization target for generating the peak shaving auxiliary service specifically is as follows:
Figure GDA0002548280820000113
wherein, Fi,tPunishing cost for electric quantity deviation of the thermal power generating unit i in a time period t; ci,tα for the peak shaving auxiliary service cost corresponding to the time interval t of the thermal power generating unit iiReference ratio for economic index if the 'three-way' scheduling is completely implemented αi0. The proportion can be flexibly adjusted according to the electric quantity progress execution condition and the peak regulation demand, and when the electric quantity progress execution pressure is higher, the proportion of corresponding 'three public' electric quantity can be increased; and when the electric quantity progress execution pressure is light and the peak regulation pressure is large, increasing the specific gravity of the corresponding peak regulation penalty value.
Preferably, the other constraint conditions related to the rolling power generation planning model include a load balance constraint condition, an electric quantity deviation control constraint condition, a unit operation constraint condition, and a ground state power flow constraint condition, which are respectively specifically:
(1) the load balance constraint conditions are as follows:
Figure GDA0002548280820000114
wherein, Pi,tFor the power generating unit i, the value of the power output in the time period t is calculated, and DtTD is the set of all time periods in the day, which is the system load for time period t.
(2) Electric quantity deviation amount control constraint conditions:
Figure GDA0002548280820000121
Figure GDA0002548280820000122
wherein, Pi,tThe power output value of the thermal power generating unit in the period i t is obtained,
Figure GDA0002548280820000123
for thermal power generating unit i at tNThe electric quantity control target by the time period T,
Figure GDA0002548280820000124
in order to be the upper limit deviation,
Figure GDA0002548280820000125
the lower deviation is.
(3) The method comprises the following steps of (1) unit output upper and lower limit constraint conditions, wherein the unit operation constraint conditions comprise unit output upper and lower limit constraint conditions and unit climbing rate constraint conditions, and the unit output upper and lower limit constraint conditions specifically comprise the following steps:
Figure GDA0002548280820000126
wherein, Pi,tThe active output value of the thermal power generating unit i in the time period t is obtained,
Figure GDA0002548280820000127
and
Figure GDA0002548280820000128
respectively are the upper and lower limit values of the active power output of the thermal power generating unit i in the time period t:
the unit climbing rate constraint conditions are as follows:
Figure GDA0002548280820000129
wherein, Pi,tThe power output value of the thermal power generating unit in the period i t is obtained,
Figure GDA00025482808200001210
and
Figure GDA00025482808200001211
and the output power of the thermal power generating unit at the period i is adjusted downwards and the maximum climbing capacity is adjusted upwards respectively.
(4) Ground state power flow constraint conditions:
Figure GDA0002548280820000131
wherein G isl-iTransfer distribution factor for generator of line l for node where unit i is located, Dj,tIs the load of node j in time period t, fl maxIs the active power flow limit, P, of the line li,tFor the active power output value G of the thermal power generating unit i in the time period tl-jThe distribution factor is shifted for the generator of node j to line l.
The embodiment of the present invention further provides a settlement apparatus based on peak shaving auxiliary service, as shown in fig. 5, including:
the deep peak regulation price receiving module 101 is used for receiving active power output adjustable intervals and corresponding deep peak regulation prices sent by a plurality of thermal power generating units in a specific time period according to a flexible segmentation quotation rule;
a constraint condition introducing module 102, configured to introduce the variable of the deep peak shaving price into a pre-established rolling power generation plan model, construct a corresponding deep relaxation constraint condition, generate an optimization objective function of a peak shaving auxiliary service after assigning the deep peak shaving price of each thermal power generating unit to the corresponding relaxation variable, and introduce other related constraint conditions into the rolling power generation plan model;
the plan power generation model solving module 103 is configured to solve the rolling power generation plan model through a linear programming optimization toolkit according to the other related constraint conditions and an optimization objective function of the peak shaving auxiliary service to obtain a rolling power generation plan; the rolling power generation plan comprises a deep peak shaving calling result of each thermal power generating unit;
the alternating current safety check module 104 is used for performing alternating current safety check on the rolling power generation plan;
a sending module 105, configured to send a deep peak shaving calling result of a corresponding thermal power generating unit to each thermal power generating unit if the ac safety check of the rolling power generation plan passes;
and the settlement module 106 is configured to settle the actual peak shaving electric quantity according to the corresponding deep peak shaving price of each thermal power generating unit and the deep peak shaving calling result of each thermal power generating unit.
The working process of the settlement device 100 for peak shaving auxiliary service provided by the embodiment of the present invention may refer to the above detailed description of the settlement method for peak shaving auxiliary service, and is not described herein again.
To sum up, the embodiment of the invention discloses a settlement method and a device of a peak shaving auxiliary service, according to a flexible sectional quotation rule, the peak shaving rates and corresponding deep peak shaving prices sent by a plurality of thermal power generating units are received in a specific time period, variables of the deep peak shaving prices are introduced into a rolling power generation model, corresponding relaxation conditions are established, the relaxation variables are assigned, an optimized target function of the peak shaving auxiliary service is established, the rolling power generation plan model is solved according to other related constraint conditions to obtain a rolling power generation plan, so that the deep peak shaving calling result of each thermal power generating unit is obtained, the actual peak shaving electric quantity is settled according to the deep peak shaving calling result of each thermal power generating unit and the corresponding deep peak shaving prices, and the problems that the segmentation and the lowest limit price influence the excellent thermal power generating units to exert the peak shaving capacity and the high cost in the existing peak shaving auxiliary service market are solved, the defect that the existing power system is excessive in installation and unbalanced in power structure and low in utilization efficiency is overcome, the unit with high peak regulation capacity and low cost can fully exert competitive advantages, market share is taken, the peak regulation auxiliary service cost of the system is integrally reduced, full and effective competition of peak regulation resources is realized, low-cost deep peak regulation resources of a power grid are flexibly called under power balance and power grid safety, rules of the peak regulation auxiliary service market are embedded into an existing rolling power generation plan model, and the peak regulation auxiliary service market and coordinated dispatching of 'three public' electric quantities are realized.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.

Claims (9)

1. A settlement method based on peak shaving auxiliary service is characterized by comprising the following steps:
s1, receiving active power output adjustable intervals and corresponding deep peak shaving prices sent by a plurality of thermal power generating units in a specific time period according to flexible segmentation quotation rules;
s2, introducing variables of the deep peak shaving prices into a pre-established rolling power generation plan model, constructing corresponding deep relaxation constraint conditions, giving the deep peak shaving prices of the thermal power generating units to the corresponding relaxation variables, generating an optimization objective function of the peak shaving auxiliary service, and introducing other related constraint conditions into the rolling power generation plan model;
other constraint conditions related to the rolling power generation planning model include electric quantity deviation control constraint conditions, wherein the electric quantity deviation control constraint conditions specifically include:
Figure FDA0002548280810000011
Figure FDA0002548280810000012
wherein, Pi,tThe power output value of the thermal power generating unit in the period i t is obtained,
Figure FDA0002548280810000015
for thermal power generating unit i at tNThe electric quantity control target by the time period T,
Figure FDA0002548280810000013
in order to be the upper limit deviation,
Figure FDA0002548280810000014
is a lower bound deviation;
s3, solving the rolling power generation plan model through a linear programming optimization toolkit according to the other related constraint conditions and the optimization objective function of the peak shaving auxiliary service to obtain a rolling power generation plan; the rolling power generation plan comprises a deep peak shaving calling result of each thermal power generating unit;
s4, carrying out AC safety check on the rolling power generation plan in the step S3;
s5, if the alternating current safety check of the rolling power generation plan passes, sending a deep peak shaving calling result of the corresponding thermal power generating unit to each thermal power generating unit;
and S6, settling the actual peak shaving electric quantity according to the corresponding deep peak shaving price of each thermal power generating unit and the deep peak shaving calling result of each thermal power generating unit.
2. The peak shaving assistance service based settlement method of claim 1, wherein the other constraints associated with the rolling power generation plan model include load balancing constraints, the load balancing constraints being:
Figure FDA0002548280810000021
wherein, Pi,tFor the power generating unit i, the value of the power output in the time period t is calculated, and DtTD is the set of all time periods in the day, which is the system load for time period t.
3. The peak shaving aid service-based settlement method according to claim 1, wherein the other constraints associated with the rolling power generation plan model include unit operation constraints, the unit operation constraints include unit output upper and lower limit constraints and unit climbing rate constraints, wherein the unit output upper and lower limit constraints are specifically:
Figure FDA0002548280810000022
wherein, Pi,tThe active output value of the thermal power generating unit i in the time period t is obtained,
Figure FDA0002548280810000023
and
Figure FDA0002548280810000024
respectively are the upper and lower limit values of the active power output of the thermal power generating unit i in the time period t:
the unit climbing rate constraint conditions are as follows:
Figure FDA0002548280810000025
wherein, Pi,tThe power output value of the thermal power generating unit in the period i t is obtained,
Figure FDA0002548280810000026
and
Figure FDA0002548280810000027
and the output power of the thermal power generating unit at the period i is adjusted downwards and the maximum climbing capacity is adjusted upwards respectively.
4. The peak shaving aid service based settlement method according to claim 1, wherein the other constraints related to the rolling power generation plan model include ground state power flow constraints, and the ground state power flow constraints are specifically:
Figure FDA0002548280810000031
wherein G isl-iTransfer distribution factor for generator of line l for node where unit i is located, Dj，tIs the load of node j in time period t, fl maxFor active tide of line lFlow limit, Pi，tFor the active power output value G of the thermal power generating unit i in the time period tl-jThe distribution factor is shifted for the generator of node j to line l.
5. A peak shaving aid service based settlement method according to claim 1, wherein the deep relaxation constraint includes a peak shaving aid service compensation penalty constraint, and the peak shaving aid service compensation penalty constraint is specifically:
Figure FDA0002548280810000032
wherein, Pi，tThe power output value of the thermal power generating unit in the period i t is obtained,
Figure FDA0002548280810000033
the lower limit value of the active power output of the thermal power generating unit i in the time period t is shown,i，l，tand (4) the value of the relaxation variable of the thermal power generating unit i in the ith period of the time t.
6. The settlement method based on the peak shaver auxiliary service as claimed in claim 5, wherein the formula for obtaining the peak shaver auxiliary service cost according to the slack variable is specifically:
Figure FDA0002548280810000034
wherein, Ci，tC, quoting the peak shaving auxiliary service cost corresponding to the thermal power generating unit i in the time period ti，lFor the quotation of the thermal power generating unit i in the l section, and MlThe penalty value for the first segment quoted,i，l，tand (4) the value of the relaxation variable of the thermal power generating unit i in the ith period of the time t.
7. A settlement method based on peak shaving auxiliary service according to claim 6, wherein the optimization goal of the peak shaving auxiliary service is specifically:
Figure FDA0002548280810000041
wherein, Fi，tPunishing cost for electric quantity deviation of the thermal power generating unit i in a time period t; ci，tα for the peak shaving auxiliary service cost corresponding to the time interval t of the thermal power generating unit iiIs a reference proportion of economic indexes.
8. A peak shaving aid service based settlement method according to claim 1, wherein the method further comprises the steps of:
and S7, if the AC safety check of the rolling power generation plan does not pass, introducing feedback safety check constraint conditions into the rolling power generation plan model, and then turning to the step S3.
9. A settlement device based on peak shaving auxiliary service, comprising:
the deep peak regulation price receiving module is used for receiving active power output adjustable intervals and corresponding deep peak regulation prices sent by a plurality of thermal power generating units in a specific time period according to a flexible subsection quotation rule;
the constraint condition introducing module is used for introducing the variable of the deep peak shaving price into a pre-established rolling power generation plan model, constructing corresponding deep relaxation constraint conditions, giving the deep peak shaving price of each thermal power generating unit to the corresponding relaxation variable, generating an optimization objective function of the peak shaving auxiliary service, and introducing other related constraint conditions into the rolling power generation plan model;
the plan power generation model solving module is used for solving the rolling power generation plan model through a linear programming optimization toolkit according to the other related constraint conditions and the optimization objective function of the peak shaving auxiliary service to obtain a rolling power generation plan; the rolling power generation plan comprises a deep peak shaving calling result of each thermal power generating unit;
the alternating current safety check module is used for performing alternating current safety check on the rolling power generation plan;
the transmitting module is used for transmitting a deep peak shaving calling result of the corresponding thermal power generating unit to each thermal power generating unit if the alternating current safety check of the rolling power generation plan passes;
and the settlement module is used for settling the actual peak shaving electric quantity according to the corresponding deep peak shaving price of each thermal power generating unit and the deep peak shaving calling result of each thermal power generating unit.
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