CN102609824A - Method for acquiring trading capacity index of electric energy at gate under multi-element power generation structure - Google Patents

Method for acquiring trading capacity index of electric energy at gate under multi-element power generation structure Download PDF

Info

Publication number
CN102609824A
CN102609824A CN2012100964154A CN201210096415A CN102609824A CN 102609824 A CN102609824 A CN 102609824A CN 2012100964154 A CN2012100964154 A CN 2012100964154A CN 201210096415 A CN201210096415 A CN 201210096415A CN 102609824 A CN102609824 A CN 102609824A
Authority
CN
China
Prior art keywords
unit
information
electricity
trading
power
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
CN2012100964154A
Other languages
Chinese (zh)
Other versions
CN102609824B (en
Inventor
方日升
江岳文
刘文彬
王颖帆
温步瀛
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.)
Fuzhou University
State Grid Fujian Electric Power Co Ltd
Original Assignee
Fuzhou University
State Grid Fujian 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 Fuzhou University, State Grid Fujian Electric Power Co Ltd filed Critical Fuzhou University
Priority to CN201210096415.4A priority Critical patent/CN102609824B/en
Publication of CN102609824A publication Critical patent/CN102609824A/en
Application granted granted Critical
Publication of CN102609824B publication Critical patent/CN102609824B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention relates to a method for acquiring trading capacity index of electric energy at a gate under a multi-element power generation structure, which comprises the steps: 1, providing basic information of a power grid, wherein the basic information of the power grid includes basic information and real time information; 2, providing trading basis information, wherein the trading basis information includes ''public administration'' information, trans-provincial and trans-regional trading information, power generation right trading information and large consumer direct power supply information; 3, selecting a calculation date; 4, setting the calculation sequence of four trading varieties or various trading varieties corresponding to the trading basis information; and 5, calculating the trading capacity of the gate by a simplex method to obtain the maximum delivery trading capacity of the gate and the delivery trading capacities of units. According to the invention, the integrity and the accuracy of information of calculation date can be ensured, smooth completion of annual plan is guaranteed to realize roll-calculation, points and spheres are combined, and a plenty of storage space and calculation time can be saved.

Description

The acquisition methods of critical point power trade capacity index under polynary electrification structure
Technical field
The invention belongs to Operation of Electric Systems analysis field, it is related to the acquisition methods of power trade capacity index in critical point under polynary electrification structure. 
Background technology
With the progressively structure continued to develop with Trading System in market, most of theoretical research in terms of transaction is concentrated on pattern, method of commerce and the related algorithm of transaction, with certain perspective.How on the basis of these researchs further analysis power network send outside critical point can trading electricity or electricity ability so that merchandise more abundant to the running optimizatin of resource and system;How the actual conditions of the system and the trading operations pattern of electricity market are combined, assessment system can participate in transprovincially available resources for sending transaction outside such as transregional in time, excavation for trading volume and necessary guidance is provided and referred to;How to guide or limit some power plant and participate in outer power transmission transaction, increase the transparency and fairness of the electricity transaction market promotionProblems above does not carry out systematic discussion and research still in existing achievement in research.
The content of the invention
It is an object of the invention to provide a kind of acquisition methods of critical point power trade capacity index under polynary electrification structure.
The present invention is realized using following scheme:The acquisition methods of critical point power trade capacity index under a kind of polynary electrification structure, it is characterised in that comprise the following steps:
Step 1:Power network Back ground Information is provided, the power network Back ground Information includes essential information and real time information; 
Step 2:Basis of business information is provided, the basis of business information includes " three is public " information, transprovincially transregional Transaction Information, Generation Rights Trade information and large user's direct-furnish power information;
Step 3:The specific time to be calculated is selected, that is, calculates day, discontinuity surface, the information of discontinuity surface when having 96 when the day was one with 15 minutes;
Step 4:According to actual needs, four trade varieties corresponding to the basis of business information or wherein several trade varieties carry out the setting of computation sequence;
Step 5:Calculated as follows day with reference to calculating according to computation sequence:
Step 51:The setting of object function is carried out, to maximize the remaining trading capacity in critical point as target, object function is set:
Figure 2012100964154100002DEST_PATH_IMAGE002
                                           (1)
In formula:
Figure 2012100964154100002DEST_PATH_IMAGE004
The trading capacity at critical point is represented, as all operating units of power network can be sent to the trend sum at critical point;Critical point then refers to the outlet of this province electricity sent outside;
Step 52:The setting of constraints is carried out, constraints is set(2)With(3): 
Figure 2012100964154100002DEST_PATH_IMAGE006
                                                (2)
Figure 2012100964154100002DEST_PATH_IMAGE008
                                           (3)
In formula:
Figure 2012100964154100002DEST_PATH_IMAGE010
Figure 2012100964154100002DEST_PATH_IMAGE012
Represent respectively
Figure 2012100964154100002DEST_PATH_IMAGE014
The actual trend and maximum allowable trend of branch road; 
Figure 2012100964154100002DEST_PATH_IMAGE016
For
Figure 2012100964154100002DEST_PATH_IMAGE018
The EIAJ of platform generating set,
Figure 2012100964154100002DEST_PATH_IMAGE020
The sum of actually exerting oneself distributed for unit in four trade varieties,
Figure 2012100964154100002DEST_PATH_IMAGE022
Represent thePlatform unit is exerted oneself;
Step 53:According to above-mentioned object function and constraints, the calculating of critical point trading capacity is carried out using simplex method, show that critical point maximum sends trading capacity outside and each unit sends trading capacity outside.
The method of the present invention can ensure that integrality, the accuracy for calculating day information;It can ensure that annual plan is smoothly completed, realize rolling calculation;The combination in point and face can be realized;A large amount of memory spaces can be saved and the time is calculated, and the index drawn can provide help as electrical management human assessment's index for electrical management.
Brief description of the drawings
Fig. 1 is the inventive method principle process schematic diagram. 
Embodiment
Below in conjunction with the accompanying drawings and embodiment the present invention will be further described.
The method of the present invention is polynary electrification structure(That is the various energy resources such as water power, nuclear power, wind-powered electricity generation, thermoelectricity generate electricity and deposited)Under, constrained by system physical rack and unit performance, calculate the maximum critical point trading capacity having based on system under a certain start-up mode and load level, refer to the inventive method principle process schematic diagram in Fig. 1, Fig. 1.The implementation method of the present invention comprises the following steps:
Step 1:Power network Back ground Information is provided, the power network Back ground Information includes essential information and real time information; 
Step 2:Basis of business information is provided, the basis of business information includes " three is public " information, transprovincially transregional Transaction Information, Generation Rights Trade information and large user's direct-furnish power information;
Step 3:The specific time to be calculated is selected, that is, calculates day, discontinuity surface, the information of discontinuity surface when having 96 when the day was one with 15 minutes;
Step 4:According to actual needs, to four trade varieties in the basis of business information or wherein, several trade varieties set computation sequence;
Step 5:Calculated as follows day with reference to calculating according to computation sequence:
1st, the setting of object function.This method is to maximize the remaining trading capacity in critical point as target, i.e., in this province workload demand and to have signed under transaction Contract Energy, calculating critical point maximum trading capacity and each unit sends trading capacity outside under this target. 
Figure 491172DEST_PATH_IMAGE002
                                           (1)
In formula:
Figure 270910DEST_PATH_IMAGE004
The trading capacity at critical point is represented, as all operating units of power network can be sent to the trend sum at critical point;Critical point then refers to the outlet of this province electricity sent outside.
2nd, the setting of constraints.Due to being limited by circuit transmission capacity, the trading capacity at critical point is not the remaining generated output sum of every unit, and although some units have more residue to exert oneself, but can not be generated electricity because the limitation of trend on circuit is sent out, therefore produce constraints(2).Unit need to meet this province power network workload demand, reliability requirement and sign transaction contractual requirement when participating in sending transaction outside.If this province network load and having signed transaction Contract Energy and needing the
Figure 728436DEST_PATH_IMAGE018
Platform unit exert oneself for
Figure 608055DEST_PATH_IMAGE020
, then unit, which participates in exerting oneself for outer power transmission, to be adjusted in exerting oneself at present for unit between unit EIAJ, therefore produces constraints (3).
                                                (2)
Figure 759867DEST_PATH_IMAGE008
                                           (3)
In formula:
Figure 21084DEST_PATH_IMAGE010
Figure 689963DEST_PATH_IMAGE012
Represent respectivelyThe actual trend and maximum allowable trend of branch road; 
Figure 499973DEST_PATH_IMAGE016
For
Figure 299302DEST_PATH_IMAGE018
The EIAJ of platform generating set,
Figure 822687DEST_PATH_IMAGE020
It is unit in four transaction modules(" three public affairs " are dispatched, have signed transregional transaction transprovincially, signed Generation Rights Trade, signed large user's direct-furnish transaction)The sum of actually exerting oneself of middle distribution,
Figure 314848DEST_PATH_IMAGE022
Represent the
Figure 556474DEST_PATH_IMAGE018
Platform unit is exerted oneself.
3rd, the determination of calculation method.
Based on formula(1)、(2)、(3)All without nonlinear terms in formula, Selection utilization simplex method is solved to above mentioned problem.Due to having in constraints
Figure 893914DEST_PATH_IMAGE010
With
Figure 537385DEST_PATH_IMAGE020
The two amounts, therefore need to first calculate.To the trend of circuit
Figure 934868DEST_PATH_IMAGE010
Calculating acquisition is carried out using DC power flow.It is rightThen need to consider the method for salary distribution of existing Contract Energy.Contract transaction main at present is " three public " scheduling, transprovincially transregional transaction, Generation Rights Trade, large user's direct-furnish transaction.Due in each market to more than four classes merchandise arrange sequencing it is different, some transaction must preferentially ensure its complete, then come before.Therefore, calculating
Figure 796132DEST_PATH_IMAGE020
When, need first to be ranked up existing trade variety according to the requirement of power network, then the distribution of unit output is carried out as follows respectively to existing trade variety, if the sum of exerting oneself that each transaction modules is assigned to certain unit has exceeded its limit value, then limit and that last transaction is come in unit participation trading order, until unit exert oneself it is not out-of-limit untill, so draw
Figure 356427DEST_PATH_IMAGE018
Platform unit is exerted oneself
Figure 128074DEST_PATH_IMAGE020
Our circulars to " three is public " scheduling, transprovincially transregional transaction, Generation Rights Trade and the transaction of the class of large user's direct power supply four are described below:
(1)" three is public " scheduling electricity output distribution
To participating in " three public " the decomposition of the train unit row Contract generation of transaction so that the deviation of " three is public " electricity is completed between each train unit no more than the ratio allowed, it is ensured that the fairness and reasonability of power energy allocation between each train unit.Under conditions of above-mentioned target is met, it is contemplated that service system operation constraint, unit performance constraint, calculated using period dynamic programming algorithm is become.If using complete-period electrification planning optimization model, though disclosure satisfy that the requirement of " three is public " scheduling, amount of calculation is big, and time-consuming length can not be ignored.By taking beginning of the year generation schedule as an example, according to every 15 minutes be one when discontinuity surface, 365 days 1 year calculate, then during the calculating of complete-period electrification plan discontinuity surface sum be 35040, current hardware device can not meet the calculating requirement of generation schedule a few days ago, it is impossible to applied to power network actual production demand.Time interval is calculated if increased, although be disclosure satisfy that calculating time requirement, but can not be met short term scheduling operation demand again.In " three is public " scheduling, the requirements of plan to different periods is different.Wherein, plan day day part unit plan requires very high to computational accuracy, is mainly used in management and running and operation instruction.However, for the plan after several weeks or several moons, computational accuracy requirement is reduced successively.Therefore, the project has used change period generation schedule Optimized model.Choosing period of time principle:Plan day with every 15 minutes for 1 period, next day was 1 period with every 1 hour, of that month remaining each day take 1 day be 1 period, it is 1 period to take within secondary month per ten days, is then taken to the end of the year afterwards monthly as 1 period.When period interval was more than 1 day, workload demand is averaged.By taking 20 days April in 2011 as an example, the period is chosen as follows:It is 1 period to take every 15 minutes on April 20, and it is 1 period to take every 1 hour on April 21, and it is 1 period to take 1 day April 22 to April 30, and it is 1 period to take per ten days May 1 to May 31, and it was monthly 1 period to take June to December, altogether 139 periods.
Object function:Deviation is minimum each other for the deviation of each train unit yearly plan generated energy and Contract generation.
Figure 2012100964154100002DEST_PATH_IMAGE024
Figure 2012100964154100002DEST_PATH_IMAGE026
Figure 2012100964154100002DEST_PATH_IMAGE028
In formula:
Figure 2012100964154100002DEST_PATH_IMAGE032
Figure 2012100964154100002DEST_PATH_IMAGE034
Figure 2012100964154100002DEST_PATH_IMAGE036
Is represented respectively
Figure 327980DEST_PATH_IMAGE018
Individual train unit is from the plan generated energy in plan day to the end of the year, from the beginning of the year to plan day completed actual power generation, the Contract generation in the whole year, the deviation for planning electricity and Contract generation;
Figure 2012100964154100002DEST_PATH_IMAGE038
For from plan day to the end of the year when hop count;
Figure 2012100964154100002DEST_PATH_IMAGE040
ForIndividual train unit existsThe plan of period is exerted oneself;
Figure 2012100964154100002DEST_PATH_IMAGE044
To participate in the train unit set of " three is public " scheduling;
Figure 2012100964154100002DEST_PATH_IMAGE046
For the Period Length of plan, the value is variable, is changed according to the optimization time from the distance of plan day, and more remote from plan day, non-intellectual is bigger, and required precision is lower, and time span is longer, can thus save the substantial amounts of calculating time.
Constraints includes:
(a)System balancing is constrained:
1)Generating Constraints of Equilibrium
Figure 2012100964154100002DEST_PATH_IMAGE048
2)System fading margin Reserve Constraint
3)System spinning reserve is constrained
Figure 2012100964154100002DEST_PATH_IMAGE052
In formula:
Figure 2012100964154100002DEST_PATH_IMAGE054
Figure 2012100964154100002DEST_PATH_IMAGE056
Figure 2012100964154100002DEST_PATH_IMAGE058
Respectively system
Figure 939800DEST_PATH_IMAGE042
Load, regulation stand-by requirement amount and the spinning reserve demand of period;For unit number of units;
Figure 2012100964154100002DEST_PATH_IMAGE064
For unit
Figure 6982DEST_PATH_IMAGE018
The regulation spare capacity and spinning reserve capacity that can be provided.
(b)Plan the constraint of electricity maximum deviation:
Figure 2012100964154100002DEST_PATH_IMAGE066
In formula:
Figure 2012100964154100002DEST_PATH_IMAGE068
Figure 2012100964154100002DEST_PATH_IMAGE070
Is represented respectively
Figure 569550DEST_PATH_IMAGE018
The maximum deviation of the deviation of individual train unit plan electricity and Contract generation, plan electricity and Contract generation.
(c)Unit operation is constrained:
1)Unit output bound is constrained
2)The operation of unit minimum is constrained with downtime duration
Figure 2012100964154100002DEST_PATH_IMAGE074
Figure 2012100964154100002DEST_PATH_IMAGE076
3)Unit follow load ability
Figure 2012100964154100002DEST_PATH_IMAGE078
4)Unit adjusts Reserve Constraint
Figure 2012100964154100002DEST_PATH_IMAGE080
5)Unit spinning reserve is constrained
 6)Unit Commitment count constraint
Figure 2012100964154100002DEST_PATH_IMAGE084
7) constraint must be opened and must stopped to unit
Figure DEST_PATH_IMAGE086
Figure DEST_PATH_IMAGE088
8)Unit firm output is constrained
Figure DEST_PATH_IMAGE090
9)Machine group exert oneself bound constraint
Figure DEST_PATH_IMAGE092
During the above is various:
Figure 556879DEST_PATH_IMAGE016
Figure DEST_PATH_IMAGE094
Figure DEST_PATH_IMAGE096
Figure DEST_PATH_IMAGE098
Unit is represented respectively
Figure 154082DEST_PATH_IMAGE018
Exert oneself maximum and minimum value, machine group
Figure DEST_PATH_IMAGE100
Exert oneself maximum and minimum value;IfRepresent unit
Figure 329849DEST_PATH_IMAGE018
Figure DEST_PATH_IMAGE104
Period is in open state, if
Figure DEST_PATH_IMAGE106
Represent unit
Figure 379713DEST_PATH_IMAGE018
Figure 604021DEST_PATH_IMAGE104
Period is in stopped status;
Figure DEST_PATH_IMAGE108
Unit is represented respectively
Figure 790152DEST_PATH_IMAGE018
Figure 151468DEST_PATH_IMAGE104
The start duration of period and downtime duration;
Figure DEST_PATH_IMAGE112
Figure DEST_PATH_IMAGE114
Unit is represented respectively
Figure 626312DEST_PATH_IMAGE018
The minimum start duration and minimum downtime duration;
Figure DEST_PATH_IMAGE116
Unit in a period is represented respectively
Figure 778944DEST_PATH_IMAGE018
Drop exert oneself speed with emersion power speed;
Figure DEST_PATH_IMAGE120
For unit
Figure 22844DEST_PATH_IMAGE018
Figure 274834DEST_PATH_IMAGE104
Whether the period has start, and value is 1 if start, is otherwise 0;For unit
Figure 174656DEST_PATH_IMAGE018
Allow the number of times of start from plan day to the end of the year;
Figure DEST_PATH_IMAGE124
Figure DEST_PATH_IMAGE128
Expression must start shooting group set, group set and a firm output unit set must be shut down;
Figure DEST_PATH_IMAGE130
For
Figure 930647DEST_PATH_IMAGE018
Platform unit exists
Figure 294633DEST_PATH_IMAGE042
The firm output of period;
Figure DEST_PATH_IMAGE132
For machine group
Figure DEST_PATH_IMAGE134
The number of units of middle unit,
Figure 717524DEST_PATH_IMAGE134
For the title of machine group.
(d)Power system security constraints
Figure 166960DEST_PATH_IMAGE006
(2), Generation Rights Trade and transprovincially transregional transaction output distribution
Generation Rights Trade and the transprovincially purpose of transregional transaction are provided to optimize resource, energy-saving and emission-reduction.Therefore, the object function of this two class transaction is all the maximization of social utility, while considering system security constraint and electric network swim constraint, above-mentioned transaction is realized using the algorithm of " High-low Match ".
Object function:
Transprovincially the object function of transregional transaction is that both parties' benefit and social utility are maximized, i.e.,
max
Figure DEST_PATH_IMAGE136
In formula:,
Figure DEST_PATH_IMAGE140
For the quotation of power purchase side and sale of electricity side;
Figure DEST_PATH_IMAGE142
The electricity struck a bargain for purchase seller;
Figure DEST_PATH_IMAGE144
The set of electricity side is sold to participate in transregional transaction transprovincially;
Figure DEST_PATH_IMAGE146
The set of electricity side is bought in participate in transregional transaction transprovincially.
The object function of Generation Rights Trade maximizes for social utility, i.e.,
In formula:
Figure DEST_PATH_IMAGE150
The respectively quotation of Generation Right transferor and assignee;
Figure 851275DEST_PATH_IMAGE142
The electricity struck a bargain for transferor and assignee;To participate in Generation Rights Trade transferor set;
Figure DEST_PATH_IMAGE154
To participate in Generation Rights Trade assignee set.
Constraints includes:
Figure DEST_PATH_IMAGE156
Figure DEST_PATH_IMAGE158
(a)Transregional transaction constraint transprovincially:Interregional interconnection transmission line capability
In above formula
Figure DEST_PATH_IMAGE160
Figure DEST_PATH_IMAGE162
Represent
Figure 912827DEST_PATH_IMAGE104
The trend that period interconnection is flowed into and exported;
Figure DEST_PATH_IMAGE164
For interconnection output and input power maximum, minimum limit value.The transmission capacity of interconnection can meet the requirement of interconnection minimum capacity under normal circumstances, thus only consider that transmission capacity exceeds the situation of interconnection maximum transfer capacity.
(b)Transregional transaction constraint transprovincially:One's respective area system restriction
1)Generating Constraints of Equilibrium
2)System fading margin Reserve Constraint
3)System spinning reserve is constrained
Figure DEST_PATH_IMAGE172
4)One's respective area powers the upper limit
In above formula:
Figure 898494DEST_PATH_IMAGE054
Figure 71986DEST_PATH_IMAGE056
Figure 144984DEST_PATH_IMAGE058
Respectively system
Figure 112940DEST_PATH_IMAGE042
Load, regulation stand-by requirement and the spinning reserve demand of period;
Figure 271389DEST_PATH_IMAGE060
For the number of units of unit;
Figure DEST_PATH_IMAGE174
For unitThe regulation spare capacity and spinning reserve capacity that can be provided;
Figure 88660DEST_PATH_IMAGE160
Figure 227517DEST_PATH_IMAGE162
Represent
Figure 810945DEST_PATH_IMAGE104
The trend that period interconnection is flowed into and exported;
Figure 122978DEST_PATH_IMAGE166
Figure 170568DEST_PATH_IMAGE166
For interconnection output and input power maximum, minimum limit value;Represent unit
Figure 542644DEST_PATH_IMAGE018
Maximum of exerting oneself.
(c)Transregional transaction transprovincially and Generation Rights Trade constraint:Power system security constraints
        
Figure DEST_PATH_IMAGE176
Exerting oneself by exchange hour mean allocation unit after electricity is drawn.
 
(3)Large user's direct power supply transaction output distribution
The target of large user's direct power supply transaction is the operation conditions according to power network, maximizes possible large user's direct-furnish transaction electricity, i.e.,
max
Figure DEST_PATH_IMAGE178
In formula: For large user direct-furnish purchaser
Figure DEST_PATH_IMAGE180
And seller
Figure DEST_PATH_IMAGE182
The electricity of conclusion of the business;The set of electricity side is sold to participate in large user's direct-furnish;
Figure 758752DEST_PATH_IMAGE146
The set of electricity side is bought in participate in large user's direct-furnish transaction.
Above-mentioned target need to consider power system security constraints:
Figure 239412DEST_PATH_IMAGE176
Exerting oneself by exchange hour mean allocation unit after electricity is drawn.
Presently preferred embodiments of the present invention is the foregoing is only, all equivalent changes and modifications done according to scope of the present invention patent should all belong to the covering scope of the present invention. 

Claims (5)

1. the acquisition methods of critical point power trade capacity index under a kind of polynary electrification structure, it is characterised in that comprise the following steps:
Step 1:Power network Back ground Information is provided, the power network Back ground Information includes essential information and real time information; 
Step 2:Basis of business information is provided, the basis of business information includes " three is public " information, transprovincially transregional Transaction Information, Generation Rights Trade information and large user's direct-furnish power information;
Step 3:The specific time to be calculated is selected, that is, calculates day, discontinuity surface, the information of discontinuity surface when having 96 when the day was one with 15 minutes;
Step 4:Several trade varieties in four trade varieties or four trade varieties according to corresponding to the basis of business information set computation sequence, and four trade varieties are respectively:" three is public " scheduling, transprovincially transregional transaction, Generation Rights Trade and the transaction of large user's direct power supply;
Step 5:Calculated as follows day with reference to calculating according to computation sequence:
Step 51:The setting of object function is carried out, to maximize the remaining trading capacity in critical point as target, object function is set:
Figure 2012100964154100001DEST_PATH_IMAGE001
                                           (1)
In formula:The trading capacity at critical point is represented, as all operating units of power network can be sent to the trend sum at critical point;Critical point then refers to the outlet of this province electricity sent outside;
Step 52:The setting of constraints is carried out, constraints is set(2)With(3): 
Figure 2012100964154100001DEST_PATH_IMAGE003
                                                (2)
                                           (3)
In formula:
Figure 2012100964154100001DEST_PATH_IMAGE005
Figure 598531DEST_PATH_IMAGE006
Represent respectively
Figure 2012100964154100001DEST_PATH_IMAGE007
The actual trend and maximum allowable trend of branch road; 
Figure 56057DEST_PATH_IMAGE008
For
Figure 870429DEST_PATH_IMAGE010
The EIAJ of platform generating set,
Figure 2012100964154100001DEST_PATH_IMAGE011
The sum of actually exerting oneself distributed for unit in four trade varieties,
Figure 755209DEST_PATH_IMAGE012
Represent the
Figure 22242DEST_PATH_IMAGE010
Platform unit is exerted oneself;
Step 53:According to above-mentioned object function and constraints, the calculating of critical point trading capacity is carried out using simplex method, show that critical point maximum sends trading capacity outside and each unit sends trading capacity outside.
2. the acquisition methods of critical point power trade capacity index under polynary electrification structure according to claim 1, it is characterised in that:Described essential information, that is, the information not changed over time includes generator, transformer, the basic parameter of circuit, power plant's Contract generation, moon load prediction information, " three is public " essential information;The real time information be then according to when discontinuity surface is different and the size of for example each node load of information for changing, the state of transformer and non-standard no-load voltage ratio, circuit put into operation state.
3. the acquisition methods of critical point power trade capacity index under polynary electrification structure according to claim 1, it is characterised in that:Generating set output distribution in described " three is public " scheduling is drawn using following algorithm:
Determine object function:Deviation is minimum each other for the deviation of i.e. each train unit yearly plan generated energy and Contract generation;
Figure 2012100964154100001DEST_PATH_IMAGE013
Figure 408093DEST_PATH_IMAGE014
Figure 2012100964154100001DEST_PATH_IMAGE015
In formula:
Figure 139289DEST_PATH_IMAGE016
Figure 2012100964154100001DEST_PATH_IMAGE017
Is represented respectively
Figure 139179DEST_PATH_IMAGE010
Individual train unit is from the plan generated energy in plan day to the end of the year, from the beginning of the year to plan day completed actual power generation, the Contract generation in the whole year, the deviation for planning electricity and Contract generation;
Figure 938508DEST_PATH_IMAGE020
For from plan day to the end of the year when hop count;
Figure 2012100964154100001DEST_PATH_IMAGE021
ForIndividual train unit exists
Figure 16371DEST_PATH_IMAGE024
The plan of period is exerted oneself;To participate in the train unit set of " three is public " scheduling;
Figure 320314DEST_PATH_IMAGE026
For the Period Length of plan;
Above-mentioned object function includes following constraints:
(a)System balancing is constrained:
1)Generating Constraints of Equilibrium
Figure 2012100964154100001DEST_PATH_IMAGE027
2)System fading margin Reserve Constraint
3)System spinning reserve is constrained
Figure 2012100964154100001DEST_PATH_IMAGE029
In formula:
Figure 366471DEST_PATH_IMAGE030
Figure 763955DEST_PATH_IMAGE032
Respectively system
Figure 555193DEST_PATH_IMAGE024
Load, regulation stand-by requirement amount and the spinning reserve demand of period;For unit number of units;
Figure 696325DEST_PATH_IMAGE034
Figure 2012100964154100001DEST_PATH_IMAGE035
For unitThe regulation spare capacity and spinning reserve capacity that can be provided;
(b)Plan the constraint of electricity maximum deviation:
Figure 28266DEST_PATH_IMAGE036
In formula:
Figure 2012100964154100001DEST_PATH_IMAGE037
Figure 41221DEST_PATH_IMAGE038
Is represented respectively
Figure 986043DEST_PATH_IMAGE010
The maximum deviation of the deviation of individual train unit plan electricity and Contract generation, plan electricity and Contract generation;
(c)Unit operation is constrained:
1)Unit output bound is constrained
2)The operation of unit minimum is constrained with downtime duration
Figure 338527DEST_PATH_IMAGE040
Figure 2012100964154100001DEST_PATH_IMAGE041
3)Unit follow load ability
Figure 334603DEST_PATH_IMAGE042
4)Unit adjusts Reserve Constraint
Figure 2012100964154100001DEST_PATH_IMAGE043
5)Unit spinning reserve is constrained
 6)Unit Commitment count constraint
Figure 2012100964154100001DEST_PATH_IMAGE045
7) constraint must be opened and must stopped to unit
Figure 317789DEST_PATH_IMAGE046
8)Unit firm output is constrained
9)Machine group exert oneself bound constraint
Figure 2012100964154100001DEST_PATH_IMAGE049
During the above is various:
Figure 28442DEST_PATH_IMAGE008
Figure 15989DEST_PATH_IMAGE050
Figure 2012100964154100001DEST_PATH_IMAGE051
Figure 240297DEST_PATH_IMAGE052
Unit is represented respectively
Figure 364111DEST_PATH_IMAGE010
Exert oneself maximum and minimum value, machine group
Figure 2012100964154100001DEST_PATH_IMAGE053
Exert oneself maximum and minimum value;If
Figure 710779DEST_PATH_IMAGE054
Represent unit
Figure 123306DEST_PATH_IMAGE010
Figure 216551DEST_PATH_IMAGE056
Period is in open state, if
Figure 2012100964154100001DEST_PATH_IMAGE057
Represent unit
Figure 460451DEST_PATH_IMAGE010
Figure 650123DEST_PATH_IMAGE056
Period is in stopped status;
Figure 2012100964154100001DEST_PATH_IMAGE059
Unit is represented respectively
Figure 240691DEST_PATH_IMAGE010
Figure 542359DEST_PATH_IMAGE056
The start duration of period and downtime duration;
Figure 965250DEST_PATH_IMAGE060
Unit is represented respectively
Figure 352369DEST_PATH_IMAGE010
The minimum start duration and minimum downtime duration;
Figure 784487DEST_PATH_IMAGE062
Figure 2012100964154100001DEST_PATH_IMAGE063
Unit in a period is represented respectively
Figure 737400DEST_PATH_IMAGE010
Drop exert oneself speed with emersion power speed;
Figure 534455DEST_PATH_IMAGE064
For unit
Figure 205607DEST_PATH_IMAGE010
Figure 2012100964154100001DEST_PATH_IMAGE065
Whether the period has start, and value is 1 if start, is otherwise 0;
Figure 444346DEST_PATH_IMAGE066
For unitAllow the number of times of start from plan day to the end of the year;
Figure 2012100964154100001DEST_PATH_IMAGE067
Figure 485301DEST_PATH_IMAGE068
Figure 2012100964154100001DEST_PATH_IMAGE069
Expression must start shooting group set, group set and a firm output unit set must be shut down;For
Figure 417670DEST_PATH_IMAGE010
Platform unit exists
Figure 282858DEST_PATH_IMAGE024
The firm output of period;For machine group
Figure 484033DEST_PATH_IMAGE072
The number of units of middle unit,
Figure 129777DEST_PATH_IMAGE072
For the title of machine group;
(d)Power system security constraints
Figure 379493DEST_PATH_IMAGE003
4. the acquisition methods of critical point power trade capacity index under polynary electrification structure according to claim 1, it is characterised in that:Exerting oneself for the Generation Rights Trade and transprovincially transregional transaction is drawn using following algorithm:
Determine object function:
Transprovincially the object function of transregional transaction is that both parties' benefit and social utility are maximized, i.e.,
max
Figure 2012100964154100001DEST_PATH_IMAGE073
In formula:,
Figure 2012100964154100001DEST_PATH_IMAGE075
For the quotation of power purchase side and sale of electricity side;
Figure 799159DEST_PATH_IMAGE076
The electricity struck a bargain for purchase seller;
Figure 2012100964154100001DEST_PATH_IMAGE077
The set of electricity side is sold to participate in transregional transaction transprovincially;The set of electricity side is bought in participate in transregional transaction transprovincially;
The object function of Generation Rights Trade maximizes for social utility, i.e.,
Figure 2012100964154100001DEST_PATH_IMAGE079
In formula:
Figure 50853DEST_PATH_IMAGE080
Figure 2012100964154100001DEST_PATH_IMAGE081
The respectively quotation of Generation Right transferor and assignee;
Figure 952950DEST_PATH_IMAGE076
The electricity struck a bargain for transferor and assignee;
Figure 433610DEST_PATH_IMAGE077
To participate in Generation Rights Trade transferor set;
Figure 726051DEST_PATH_IMAGE082
To participate in Generation Rights Trade assignee set;
Above-mentioned object function includes following constraints:
Figure 402069DEST_PATH_IMAGE086
(a)Transregional transaction constraint transprovincially:Interregional interconnection transmission line capability
In above formula
Figure 115947DEST_PATH_IMAGE088
Represent
Figure 161264DEST_PATH_IMAGE056
The trend that period interconnection is flowed into and exported;For interconnection output and input power maximum, minimum limit value;
(b)Transregional transaction constraint transprovincially:One's respective area system restriction
1)Generating Constraints of Equilibrium
Figure 2012100964154100001DEST_PATH_IMAGE091
2)System fading margin Reserve Constraint
3)System spinning reserve is constrained
Figure 2012100964154100001DEST_PATH_IMAGE093
Figure 2012100964154100001DEST_PATH_IMAGE095
4)One's respective area powers the upper limit
In above formula:
Figure 457224DEST_PATH_IMAGE030
Respectively system
Figure 388774DEST_PATH_IMAGE024
Load, regulation stand-by requirement and the spinning reserve demand of period;
Figure 710034DEST_PATH_IMAGE033
For the number of units of unit;For unit
Figure 326009DEST_PATH_IMAGE010
The regulation spare capacity and spinning reserve capacity that can be provided;
Figure 849394DEST_PATH_IMAGE087
Figure 279238DEST_PATH_IMAGE088
Represent
Figure 317601DEST_PATH_IMAGE056
The trend that period interconnection is flowed into and exported;
Figure 564092DEST_PATH_IMAGE090
For interconnection output and input power maximum, minimum limit value;Represent unitMaximum of exerting oneself;
(c)Transregional transaction transprovincially and Generation Rights Trade constraint:Power system security constraints
       
Figure 2012100964154100001DEST_PATH_IMAGE099
Exerting oneself by exchange hour mean allocation unit after electricity is drawn.
5. the acquisition methods of critical point power trade capacity index under polynary electrification structure according to claim 1, it is characterised in that:Large user's direct power supply transaction is exerted oneself to be drawn using following algorithm:
The determination of object function:The target of large user's direct power supply transaction is the operation conditions according to power network, maximizes possible large user's direct-furnish transaction electricity, i.e.,
max
Figure 834558DEST_PATH_IMAGE100
In formula: 
Figure 332535DEST_PATH_IMAGE076
For large user direct-furnish purchaser
Figure 2012100964154100001DEST_PATH_IMAGE101
And seller
Figure 900920DEST_PATH_IMAGE102
The electricity of conclusion of the business;
Figure 179454DEST_PATH_IMAGE077
The set of electricity side is sold to participate in large user's direct-furnish;
Figure 124277DEST_PATH_IMAGE078
The set of electricity side is bought in participate in large user's direct-furnish transaction;
Above-mentioned object function need to consider power system security constraints:
Figure 476761DEST_PATH_IMAGE099
Exerting oneself by exchange hour mean allocation generating set after electricity is drawn.
CN201210096415.4A 2012-03-31 2012-03-31 The acquisition methods of critical point power trade capacity index under polynary electrification structure Expired - Fee Related CN102609824B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201210096415.4A CN102609824B (en) 2012-03-31 2012-03-31 The acquisition methods of critical point power trade capacity index under polynary electrification structure

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201210096415.4A CN102609824B (en) 2012-03-31 2012-03-31 The acquisition methods of critical point power trade capacity index under polynary electrification structure

Publications (2)

Publication Number Publication Date
CN102609824A true CN102609824A (en) 2012-07-25
CN102609824B CN102609824B (en) 2015-09-02

Family

ID=46527176

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201210096415.4A Expired - Fee Related CN102609824B (en) 2012-03-31 2012-03-31 The acquisition methods of critical point power trade capacity index under polynary electrification structure

Country Status (1)

Country Link
CN (1) CN102609824B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104951650A (en) * 2015-05-28 2015-09-30 国网福建省电力有限公司 Method for evaluating outer power transmission trading capacity of power exchange point of large-scale wind power grid
CN110135631A (en) * 2019-04-26 2019-08-16 燕山大学 Electrical integrated energy system dispatching method based on information gap decision theory
CN115760397A (en) * 2022-11-14 2023-03-07 广西电网有限责任公司 Electric power spot market clearing method, device, equipment and storage medium

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101179195A (en) * 2007-11-15 2008-05-14 上海交通大学 Power distribution network planning scheme assistant decision system
US20080133950A1 (en) * 2006-11-30 2008-06-05 Seiji Kawaji System device including nic and power-saving controlling method of the same

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080133950A1 (en) * 2006-11-30 2008-06-05 Seiji Kawaji System device including nic and power-saving controlling method of the same
CN101179195A (en) * 2007-11-15 2008-05-14 上海交通大学 Power distribution network planning scheme assistant decision system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
林勇机等: "上网电价的影响因素及变化趋势分析", 《福建电力与电工》, vol. 28, no. 4, 31 December 2008 (2008-12-31), pages 8 - 11 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104951650A (en) * 2015-05-28 2015-09-30 国网福建省电力有限公司 Method for evaluating outer power transmission trading capacity of power exchange point of large-scale wind power grid
CN110135631A (en) * 2019-04-26 2019-08-16 燕山大学 Electrical integrated energy system dispatching method based on information gap decision theory
CN110135631B (en) * 2019-04-26 2022-02-22 燕山大学 Electric comprehensive energy system scheduling method based on information gap decision theory
CN115760397A (en) * 2022-11-14 2023-03-07 广西电网有限责任公司 Electric power spot market clearing method, device, equipment and storage medium
CN115760397B (en) * 2022-11-14 2023-08-08 广西电网有限责任公司 Method, device, equipment and storage medium for clearing electric power spot market

Also Published As

Publication number Publication date
CN102609824B (en) 2015-09-02

Similar Documents

Publication Publication Date Title
Li et al. Optimal coordinated energy dispatch of a multi-energy microgrid in grid-connected and islanded modes
Oskouei et al. Scenario-based stochastic optimal operation of wind, photovoltaic, pump-storage hybrid system in frequency-based pricing
Toutounchi et al. A stochastic bilevel model to manage active distribution networks with multi-microgrids
CN107563676A (en) Consider the source lotus coordinated operation dispatching method of Multiple Time Scales polymorphic type demand response
CN111008739B (en) Optimal regulation and control and income distribution method and system for cogeneration virtual power plant
CN110350523A (en) Multi-energy complementation Optimization Scheduling based on demand response
CN106844916A (en) A kind of generating and electricity consumption method for organizing and device based on peak regulation assisted hatching
Fang et al. Two-layer game theoretic microgrid capacity optimization considering uncertainty of renewable energy
CN105515005A (en) Multi-microgrid system optimization method based on open market environment
CN103532157A (en) Electric-energy scheduling method for power grid system integrated into energy storage equipment
Malakar et al. Impact of load management on the energy management strategy of a wind-short hydro hybrid system in frequency based pricing
CN113610311A (en) Comprehensive energy service provider cooperation operation optimization method considering carbon emission reduction under double-layer cooperative architecture
Akhavan-Hejazi et al. A stochastic programming framework for optimal storage bidding in energy and reserve markets
Hu et al. Assessing the economics of customer-sited multi-use energy storage
Ali Development and Improvement of Renewable Energy Integrated with Energy Trading Schemes based on Advanced Optimization Approaches
CN110021932A (en) The peak regulation ancillary service capacity of bilateral participation chooses and economic model construction method
CN102609824A (en) Method for acquiring trading capacity index of electric energy at gate under multi-element power generation structure
Dai et al. An equilibrium model of the electricity market considering the participation of virtual power plants
CN110247392A (en) More standby resources robust Optimal methods of meter and wind-powered electricity generation marginal capacity and Demand Side Response
CN109670838A (en) A kind of bypassing method and system of the risk trade of interconnection type energy resource system
Pruckner et al. A study on the impact of packet loss and latency on real-time demand response in smart grid
Ryu Operation planning of energy storage system considering multiperiod energy supplies and demands
CN110070210B (en) Multi-microgrid system energy management and contribution degree evaluation method and system
CN106651136A (en) Day-ahead power generation plan compilation method of bilateral transaction and apparatus thereof
CN113837449B (en) Centralized optimization scheduling method for power grid system participated by virtual power plant

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20150902

Termination date: 20180331

CF01 Termination of patent right due to non-payment of annual fee