CN110175727A - A kind of major-minor coordination optimizing method of peak load regulation network assisted hatching - Google Patents
A kind of major-minor coordination optimizing method of peak load regulation network assisted hatching Download PDFInfo
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Abstract
The present invention relates to a kind of major-minor coordination optimizing method of peak load regulation network assisted hatching, technical characterstic is: the following steps are included: step 1, according to quotation rules, generating set declares the quotation of corresponding depth peak regulation assisted hatching；Step 2, the in a few days security constrained economic dispatch model for establishing peak regulation ancillary service and electricity coordination optimization；Step 3, the in a few days security constrained economic dispatch model for solving peak regulation ancillary service and electricity coordination optimization obtain in a few days rolling scheduling planned outcome and issue generating set execution；Step 4, within certain period, according to the practical call result of unit depth peak regulation, offer according to corresponding segment, to unit provide corresponding peak regulation ancillary service settle accounts.The present invention can make the optimal in a few days operation plan of overall cost, which has good computational efficiency and robustness, meet the application demand of actual electric network.
Description
Technical field
The invention belongs to dispatching automation of electric power systems technical field, especially a kind of peak load regulation network assisted hatching master
Auxiliary coordination optimizing method.
Background technique
Currently, there are two tier markets for power scheduling: main energy market and assisted hatching, wherein main energy market master
It is used to complete electric quantity balancing, assisted hatching is mainly used for completing load (power) balance.Assisted hatching includes more
Seed type ancillary service, such as: peak regulation service, frequency modulation service, black starting-up, cold standby, stand-by heat.
The important goal of power scheduling first is that realizing that the annual electricity generation plan schedule of each power plant is kept in balance.But work as
Most of electricity of preceding China's major part power grid is still mainly using " three is public " scheduling method, as shown in Figure 1 according to unit daily electricity
Parameter value is substituted into and is put down based on electric power by ultra-short term, system running state monitoring and electricity rolling calculation by plan
The rolling modeling that constraint, power system security constraints, unit operation constraint and the electricity progress of weighing constrain, model solution result rolls excellent
Change decision, every 15 minutes real time downs to unit, realizes the rolling scheduling to unit in a few days generation schedule.Such scheduling mould
Formula has been able to peak regulation needs caused by meeting general load variations, however, for needing unit depth peak regulation or abandonment to abandon light
Under peak regulation demand, also lack reasonable market mechanism at present and peak regulation market incorporated in existing day and adjusted by scheduling method design
Spend planning.
Due to electric energy can not large scale storage, hair, it is defeated, match, with synchronously completing, the fluctuation meaning of power load
Generated output need in real time adjustment.In power load peak period, need to realize regulating units by peak regulation assisted hatching
To the Real-Time Scheduling of uneven electricity, meet power demand.If merely from peak regulation bid from the point of view of peak regulation resource city
Fieldization competition and configuration, it may be difficult to " three is public " electricity and the peak regulation service that unit is coordinated and optimized by marketized tools, it may
" three is public " electricity implementation deviation is caused, if strict implement " three is public " scheduling, and the peak modulation capacity of regulating units can be significantly reduced,
Power network safety operation is influenced, the two is difficult to take into account.
Therefore, " three the is public " electricity and peak regulation service ability that unit how is coordinated and optimized by marketized tools, realize master
The optimal coordination of energy market and assisted hatching, is the difficult point of dispatching of power netwoks, and the inevitable requirement optimized allocation of resources.
Summary of the invention
It is an object of the invention to overcome the deficiencies in the prior art, propose a kind of major-minor association of peak load regulation network assisted hatching
Optimization method is adjusted, " three the is public " electricity and peak regulation service ability of unit can be coordinated and optimized by marketized tools, realizes main energy
Measure the optimal coordination in market and assisted hatching.
The present invention solves its realistic problem and adopts the following technical solutions to achieve:
A kind of major-minor coordination optimizing method of peak load regulation network assisted hatching, comprising the following steps:
Step 1, according to quotation rules, generating set declares the quotation of corresponding depth peak regulation assisted hatching, as day
The foundation of interior operation plan optimization；
Step 2, the depth peak regulation service quotation of the generating set determined according to step 1 and electricity complete target, in conjunction with negative
The boundary condition and power system security constraints of lotus Constraints of Equilibrium and unit operation, establish peak regulation ancillary service and electricity coordinates and optimizes
In a few days security constrained economic dispatch model；
Step 3, the in a few days security constrained economic dispatch model for solving peak regulation ancillary service and electricity coordination optimization, obtain day
Interior rolling scheduling planned outcome simultaneously issues generating set execution；
Step 4, within certain period, according to the practical call result of unit depth peak regulation, offer according to corresponding segment,
The corresponding peak regulation ancillary service provided unit is settled accounts.
Moreover, the quotation rules of the step 1 are as follows: before market-ripe, the quotation of depth peak regulation assisted hatching can be with
It carries out a few days ago, does not change in a few days；After market-ripe, the quotation of depth peak regulation assisted hatching can formulate in a few days each
It is carried out before operation plan.
Moreover, the in a few days security constrained economic dispatch model of the peak regulation ancillary service of the step 2 and electricity coordination optimization
Optimization object function are as follows:
In formula, fiFor the unit cost of electricity-generating of generating set i, Pi,tActive power output for unit i in period t, Ci,tUnit i
In the peak regulation service fee of period t,WithFor the slack variable of the Constraint of unit i, M is a very big positive number, is risen
To the effect of penalty factor；N is the number of unit in system, the period sum that T is considered by operation plan；
The constraint of the in a few days security constrained economic dispatch model of the peak regulation ancillary service of the step 2 and electricity coordination optimization
Condition are as follows:
1) account load balancing constraints
In formula, DtFor the system loading of period t；
2) Unit commitment boundary condition constrains:
1. unit Constraint
In formula,WithRespectively unit i can generated energy bound, if unit only one determine electricity
Target is completed, then WithIt is all nonnegative variable, whereinFor upper limit deviation, whenIllustrate optimum results electricity
Amount is higher than the electricity upper bound, will pay for；For lower limit deviation, whenWhen illustrate optimum results electricity lower than electricity lower bound,
It will equally pay for；
2. unit output bound constrains
In formula,Be unit i in the active power output upper bound of period t, due to consider unit may break through the power output upper bound into
Row depth peak regulation, Pi,tLower bound be set as 0；
3. unit ramp loss
In formula,WithClimbing bound of the respectively unit i in period t；
3) power system security constraints
Herein using the power grid security under DC power flow constraint ground state；In formula, Gl-iTurn for generator of the unit i to route l
Move distribution factor, Gl-jDistribution factor, D are shifted for node of the load bus j to route lj,tLoad for node j in period t, B
For the total number of load bus in system,For the effective power flow limit of route l；
4) peak regulation service constraints
For the segmentation quotation of peak load regulation ancillary service, it is as follows to establish corresponding constraint:
0≤εi,t,k≤Ai,k-Ai,k-1
In formula, KiFor total number of segment of unit i peak regulation service quotation,For unit i period t active power output lower bound,
εi,t,kFor unit i period t kth section depth peak regulation power, thereforeFor unit i period t depth peak regulation total work
Rate；Ai,kThe power boundary of kth section peak regulation, A are corresponded to for unit ii,0=0；
Meanwhile the peak regulation service fee C in optimization aim formulai,tIt models as follows:
In formula, ci,kCost slope corresponding to kth section depth peak regulation for unit i can reflect the limit power generation of unit i
Cost.
Moreover, the step 3 method particularly includes:
Do not consider power system security constraints condition first, calculate Optimal Solution of Linear Programming, obtains no power system security constraints
Corresponding DC power flow is calculated after optimal scheduling result, the power grid security of the out-of-limit route of trend is only added in next iteration
Constraint, until security constraints all in power grid obtain meeting to get the optimal solution final to model.
The advantages of the present invention:
1, the invention proposes towards in a few days operation plan peak regulation ancillary service and electricity coordination optimization scheduling method,
Combine peak regulation service market effectively with the completion of unit electric quantity balancing for the scheduling method of target with existing.The present invention can make
The optimal in a few days operation plan of overall cost is made, which has good computational efficiency and robustness, meets practical
The application demand of power grid.
2, step 2 of the invention proposes the peak regulation ancillary service towards in a few days operation plan and the tune of electricity coordination optimization
Degree mode combines peak regulation service market effectively with the completion of unit electric quantity balancing for the scheduling method of target with existing；
3, the iterative solution process of step 3 of the invention can effectively identify the power system security constraints condition to work, from
And it avoids directly optimizing invalid optimizing caused by full model, the computational efficiency of boosting algorithm.The present invention can make it is comprehensive at
This optimal in a few days operation plan, the optimization method have good computational efficiency and robustness, meet practical large scale electric network
Application demand.
Detailed description of the invention
Fig. 1 is current in a few days rolling scheduling implementation schematic diagram in background technique of the invention；
Fig. 2 is the major-minor coordination optimization flow diagram of peak regulation assisted hatching of the invention；
Peak regulation assisted hatching of the invention major-minor coordination optimization algorithm flow schematic diagram when Fig. 3.
Specific embodiment
The embodiment of the present invention is described in further detail below in conjunction with attached drawing:
The present invention is for " three the is public " electricity for being difficult to coordinate and optimize unit by marketized tools mentioned in background technique
With peak regulation service, peak regulation market is caused to may cause " three is public " electricity implementation deviation, the two is difficult to the problem of taking into account, and the present invention mentions
Go out a kind of major-minor coordination optimizing method of peak load regulation network assisted hatching, as shown in Figure 2, comprising the following steps:
Step 1 determines that depth peak regulation assisted hatching is offered: according to quotation rules, market member (generating set) Shen
Corresponding depth peak regulation assisted hatching is reported to offer, the foundation as the optimization of in a few days operation plan；
The quotation rules of the step 1 are as follows: before market-ripe, the quotation of depth peak regulation assisted hatching can be a few days ago
It carries out, does not change in a few days；After market-ripe, the quotation of depth peak regulation assisted hatching can formulate in a few days scheduling meter each
It is carried out before drawing.
In the present embodiment, depth peak regulation service price can be using the mode of segmentation quotation.
Step 2, the in a few days security constrained economic dispatch model for establishing peak regulation ancillary service and electricity coordination optimization: according to step
The depth peak regulation service quotation and electricity of rapid 1 generating set determined complete target, run in conjunction with account load balancing constraints and unit
Boundary condition and power system security constraints, establish peak regulation ancillary service and electricity coordination optimization in a few days security constraint economy tune
Spend model；
The optimization of the in a few days security constrained economic dispatch model of the peak regulation ancillary service of the step 2 and electricity coordination optimization
Objective function are as follows:
In formula, fiFor the unit cost of electricity-generating of generating set i, Pi,tActive power output for unit i in period t, Ci,tUnit i
In the peak regulation service fee of period t,WithFor the slack variable of the Constraint of unit i, M is a very big positive number, is played
The effect of penalty factor；N is the number of unit in system, the period sum that T is considered by operation plan；
The objective function has specific physical significance, and first item is the integrated dispatch cost of system, including unit generation
The sum of cost and peak regulation cost；Section 2 is penalty term, meets the Constraint of unit as far as possible, but cannot be considered in terms of electricity
When amount constraint is with peak regulation demand, Constraint can also be destroyed；
The constraint of the in a few days security constrained economic dispatch model of the peak regulation ancillary service of the step 2 and electricity coordination optimization
Condition are as follows:
1) account load balancing constraints
In formula, DtFor the system loading of period t；
2) Unit commitment boundary condition constrains:
1. unit Constraint
In formula,WithRespectively unit i can generated energy bound, if unit only one determine electricity
Target is completed, then WithIt is all nonnegative variable, whereinFor upper limit deviation, whenIllustrate optimum results electricity
Amount is higher than the electricity upper bound, will pay for；For lower limit deviation, whenWhen illustrate optimum results electricity lower than electricity lower bound,
It will equally pay for；
2. unit output bound constrains
In formula,Be unit i in the active power output upper bound of period t, due to consider unit may break through the power output upper bound into
Row depth peak regulation, Pi,tLower bound be set as 0；
3. unit ramp loss
In formula,WithClimbing bound of the respectively unit i in period t；
3) power system security constraints
Herein using the power grid security under DC power flow constraint ground state；In formula, Gl-iTurn for generator of the unit i to route l
Move distribution factor, Gl-jDistribution factor, D are shifted for node of the load bus j to route lj,tLoad for node j in period t, B
For the total number of load bus in system,For the effective power flow limit of route l；
4) peak regulation service constraints
For the segmentation quotation of peak load regulation ancillary service, it is as follows to establish corresponding constraint:
0≤εi,t,k≤Ai,k-Ai,k-1
\*MERGEFORMAT\*MERGEFORMAT(9)\*MERGEFORMAT
In formula, KiFor total number of segment of unit i peak regulation service quotation,For unit i period t active power output lower bound,
εi,t,kFor unit i period t kth section depth peak regulation power, thereforeFor unit i period t depth peak regulation total work
Rate；Ai,kThe power boundary of kth section peak regulation, A are corresponded to for unit ii,0=0；
Meanwhile the peak regulation service fee C in optimization aim formulai,tIt models as follows:
In formula, ci,kCost slope corresponding to kth section depth peak regulation for unit i can reflect the limit power generation of unit i
Cost.Due toUnder the action of minimizing target, it can guarantee preferentially call cost slope minimum the
One section of peak regulation resource, first segment peak regulation resource recall second segment peak regulation resource after using up, and so on, it ensure that scheduling depth
Reasonability on peak regulation resource logic.
The in a few days security constrained economic dispatch mould that step 3, the peak regulation ancillary service of solution procedure 2 and electricity coordinate and optimize
Type: peak regulation ancillary service and electricity are solved using mature linear programming optimization tool packet, direct solution or using specific algorithm
The in a few days security constrained economic dispatch model for measuring coordination optimization, obtains in a few days rolling scheduling planned outcome and issues generating set holding
Row；
The step 3 method particularly includes:
As shown in figure 3, not considering power system security constraints condition first, Optimal Solution of Linear Programming is calculated, obtains no power grid
Corresponding DC power flow is calculated after the optimal scheduling result of security constraint, the out-of-limit route of trend is only added in next iteration
Power system security constraints, until security constraints all in power grid obtain meeting to get the optimal solution final to model.
Its optimization process and the optimization of in a few days rolling scheduling are completely the same, are designed according to price vector and slack variable, can be with
The depth peak regulation resource of power grid low price is flexibly called under the premise of considering power balance and power grid security.
For practical large scale electric network, the power grid to work can effectively be identified by above-mentioned iterative solution process
Security constraints, to avoid directly optimizing invalid optimizing caused by full model, the computational efficiency of boosting algorithm.
Step 4 carries out the clearing of peak regulation assisted hatching: (as daily) within certain period, according to unit depth tune
The practical call result at peak, offers according to corresponding segment, and the corresponding peak regulation ancillary service provided unit is settled accounts.
It is emphasized that embodiment of the present invention be it is illustrative, without being restrictive, therefore the present invention includes
It is not limited to embodiment described in specific embodiment, it is all to be obtained according to the technique and scheme of the present invention by those skilled in the art
Other embodiments, also belong to the scope of protection of the invention.
Claims (4)
1. a kind of major-minor coordination optimizing method of peak load regulation network assisted hatching, it is characterised in that: the following steps are included:
Step 1, according to quotation rules, generating set declares the quotation of corresponding depth peak regulation assisted hatching, as in a few days adjusting
Spend the foundation of planning optimization；
Step 2, the depth peak regulation service quotation of the generating set determined according to step 1 and electricity complete target, flat in conjunction with load
The boundary condition and power system security constraints of weighing apparatus constraint and unit operation establish the day of peak regulation ancillary service and electricity coordination optimization
Interior security constrained economic dispatch model；
Step 3, the in a few days security constrained economic dispatch model for solving peak regulation ancillary service and electricity coordination optimization, are in a few days rolled
Dynamic operation plan result simultaneously issues generating set execution；
Step 4, within certain period, according to the practical call result of unit depth peak regulation, offer according to corresponding segment, to machine
The corresponding peak regulation ancillary service that group provides is settled accounts.
2. a kind of major-minor coordination optimizing method of peak load regulation network assisted hatching according to claim 1, it is characterised in that:
The quotation rules of the step 1 are as follows: before market-ripe, the quotation of depth peak regulation assisted hatching can be carried out a few days ago, day
It does not change inside；After market-ripe, the quotation of depth peak regulation assisted hatching can advance in each in a few days operation plan of formulating
Row.
3. a kind of major-minor coordination optimizing method of peak load regulation network assisted hatching according to claim 1, it is characterised in that:
The optimization object function of the in a few days security constrained economic dispatch model of the peak regulation ancillary service of the step 2 and electricity coordination optimization
Are as follows:
In formula, fiFor the unit cost of electricity-generating of generating set i, Pi,tActive power output for unit i in period t, Ci,tUnit i when
The peak regulation service fee of section t,WithFor the slack variable of the Constraint of unit i, M is a very big positive number, plays and punishes
The effect of penalty factor；N is the number of unit in system, the period sum that T is considered by operation plan；
The constraint condition of the in a few days security constrained economic dispatch model of the peak regulation ancillary service of the step 2 and electricity coordination optimization
Are as follows:
1) account load balancing constraints
In formula, DtFor the system loading of period t；
2) unit operation constraint:
1. unit Constraint
In formula,WithRespectively unit i can generated energy bound, if unit only one determine electricity complete
Target, then WithIt is all nonnegative variable, whereinFor upper limit deviation, whenIllustrate that optimum results electricity is high
In the electricity upper bound, will pay for；For lower limit deviation, whenWhen illustrate optimum results electricity lower than electricity lower bound, equally
It will pay for；
2. unit output bound constrains
In formula,It is unit i in the active power output upper bound of period t, carries out depth due to considering that unit may break through the power output upper bound
Peak regulation, Pi,tLower bound be set as 0；
3. unit ramp loss
In formula,WithClimbing bound of the respectively unit i in period t；
3) power system security constraints
Herein using the power grid security under DC power flow constraint ground state；In formula, Gl-iGenerator transfer point for unit i to route l
The cloth factor, Gl-jDistribution factor, D are shifted for node of the load bus j to route lj,tIt is node j in the load of period t, B is to be
The total number of load bus in system,For the effective power flow limit of route l；
4) peak regulation service constraints
For the segmentation quotation of peak load regulation ancillary service, it is as follows to establish corresponding constraint:
0≤εi,t,k≤Ai,k-Ai,k-1
In formula, KiFor total number of segment of unit i peak regulation service quotation,Active power output lower bound for unit i in period t, εi,t,kFor
Unit i period t kth section depth peak regulation power, thereforeFor unit i period t depth peak regulation general power；Ai,kFor
Unit i corresponds to the power boundary of kth section peak regulation, Ai,0=0；
Meanwhile the peak regulation service fee C in optimization aim formulai,tIt models as follows:
In formula, ci,kCost slope corresponding to kth section depth peak regulation for unit i, can reflect the marginal generating cost of unit i.
4. a kind of major-minor coordination optimizing method of peak load regulation network assisted hatching according to claim 1, it is characterised in that:
The step 3 method particularly includes:
Do not consider power system security constraints condition first, calculate Optimal Solution of Linear Programming, obtains the optimal of no power system security constraints
Corresponding DC power flow is calculated after scheduling result, only adds the power grid security of the out-of-limit route of trend about in next iteration
Beam, until security constraints all in power grid obtain meeting to get the optimal solution final to model.
Priority Applications (2)
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| AU2019100818A AU2019100818A4 (en) | 2019-06-26 | 2019-07-25 | Method for master-slave coordination and optimization of power grid peak shaving auxiliary service market |
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| CN111555281A (en) * | 2020-05-29 | 2020-08-18 | 国网山东省电力公司经济技术研究院 | Method and device for simulating flexible resource allocation of power system |
| CN112348274A (en) * | 2020-11-17 | 2021-02-09 | 国家电网有限公司 | Peak shaving-considered power spot market clearing method, system, equipment and medium |
| CN112668753A (en) * | 2020-12-01 | 2021-04-16 | 华电电力科学研究院有限公司 | Day-ahead safety constraint unit combination method for standby auxiliary service and electric energy coordinated optimization |
| CN112699519A (en) * | 2020-08-20 | 2021-04-23 | 国家电网公司西北分部 | Cross-provincial peak regulation auxiliary service market clearing method considering power grid safety constraint |
| CN112949924A (en) * | 2021-03-09 | 2021-06-11 | 中国南方电网有限责任公司 | Unit combination optimization method and controller considering electric quantity execution and peak regulation matching |
| CN113112095A (en) * | 2021-05-11 | 2021-07-13 | 杭州英集动力科技有限公司 | Multi-mode multi-heat supply unit load real-time optimization scheduling method and management system |
| CN113270895A (en) * | 2021-07-20 | 2021-08-17 | 中国电力科学研究院有限公司 | Day-ahead robust joint optimization method and system for electric energy and auxiliary service market |
| CN113780742A (en) * | 2021-08-13 | 2021-12-10 | 华电山东能源销售有限公司 | Computing method for flexibility improvement economy of power generation unit in auxiliary service market environment |
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| CN111047227B (en) * | 2020-03-13 | 2020-06-16 | 四川大学 | Robust energy scheduling method based on two-stage energy and service space-time matching |
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| CN113112095A (en) * | 2021-05-11 | 2021-07-13 | 杭州英集动力科技有限公司 | Multi-mode multi-heat supply unit load real-time optimization scheduling method and management system |
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| CN113780742A (en) * | 2021-08-13 | 2021-12-10 | 华电山东能源销售有限公司 | Computing method for flexibility improvement economy of power generation unit in auxiliary service market environment |
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