CN103886388B - A kind of multicycle generation schedule coordination optimization and closed loop control method - Google Patents
A kind of multicycle generation schedule coordination optimization and closed loop control method Download PDFInfo
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Abstract
The invention discloses a kind of multicycle generation schedule coordination optimization and closed loop control method, comprise the following steps, step one, carry out monthly generation scheduling establishment；Step 2, carries out generation schedule a few days ago and works out；Step 3, carries out in a few days rolling planning establishment；Step 4, AGC is by computer-assisted classification, it is determined that only undertaking the unit of prime power, only undertaking the unit tracking in a few days rolling planning of prime power, realizing closed-loop control；Step 5, unit actual operating data feeds back to monthly generation scheduling establishment, to monthly generation scheduling rolling amendment.The present invention realizes the multicycle generation schedule coordination optimization and closed loop control method for operation plan field, realizes overall most optimum distribution of resources and security constraint control in longer time dimension, while realizing the regulation goal of " three is public "+energy-conservation.
Description
Technical field
The present invention relates to a kind of multicycle generation schedule coordination optimization and closed loop control method, belong to electric power system dispatching meter
The field of drawing.
Background technology
Operation of Electric Systems feature determine generation schedule establishment be a multicycle progressive rolling movement process, it is necessary to carry out
Each cycle continues dynamic optimization, including monthly plan, a few days ago plan, in a few days plan, in real time plan and AGC controls.In order to meet
Lean requirement is dispatched, the implementation of energy-saving power generation dispatching method is further carried out, it is necessary to further investigate multicycle integration
Generation optimization dispatching technique, security, economy, energy saving and the fairness of lifting generation schedule establishment.
It is monthly, with the kernel software of real-time generation schedule be a few days ago, in a few days security constraint Unit Combination（SCUC）And safety
Constrain economic load dispatching（SCED）.Domestic and foreign scholars have begun to the research of related problem very early.Since Optimization of Unit Commitment By Improved is produced
Since, numerous experts and scholars test substantial amounts of mathematical programming approach method to solve the problem, such as：Merit-order, dynamic
Law of planning, network flow method, linear programming technique, mixed integer programming approach, Lagrangian Relaxation and various intelligent methods etc..
Current China also makes some progress in terms of active power dispatch Multiple Time Scales are coordinated with rolling scheduling.
Uncle is bright to be predicted in [the active power dispatch system design that the Multiple Time Scales for large-scale wind power of dissolving are coordinated] text by analyzing wind-powered electricity generation
Characteristic and the inherent characteristicses of active power dispatch that precision is improved step by step with time scale, it is proposed that the active tune that Multiple Time Scales are coordinated
Degree pattern and key technology.Shen Wei is proposed and can had in [the online rolling scheduling strategy and model of large-scale wind power of dissolving] text
Effect improves power network and dissolved the online rolling amendment strategy of generation schedule of the intermittent energy ability such as wind-powered electricity generation, and gives it with counting a few days ago
Draw the relation of optimization.It is old vivid to combine North China Power Telecommunication Network in a few days in [North China Power Telecommunication Network in a few days generation schedule and Real-time dispatch system] text
Scheduling system, introduces current generation schedule concept, generation schedule result, long period optimum results, the optimization of short cycle will tie a few days ago
Fruit associates, it is ensured that final generation schedule inherits the advantage that short cycle optimal conditions are determined, while it is global to compensate for it again
The deficiency of effect of optimization difference.Yang Zhenglin is in [complete period becomes period " three is public " scheduling generation schedule Optimized model] in complete period hair
Model is established in terms of electric planning optimization, it is proposed that become period, the processing method of adaptively selected constraint.Study stress above more
Coordination how is rolled in Short Term Generation Schedules, and Optimized model is merely to save as target.
It is generally the present situation of " three is public " pattern for domestic scheduling method, on the basis of having studied, have extensively studied each
The characteristics of cycle generation schedule target and constraint, the coordination optimization mode of each cycle generation schedule, it is necessary to propose a kind of new method,
The overall most optimum distribution of resources and security constraint control in longer time dimension are realized, while realizing the scheduling of " three is public "+energy-conservation
Target.
The content of the invention
The invention provides a kind of multicycle generation schedule coordination optimization and closed loop control method, realize for scheduling meter
The multicycle generation schedule coordination optimization in the field of drawing and closed loop control method and the detection method of the system, realize that the longer time ties up
Overall most optimum distribution of resources and security constraint control on degree, while realizing the regulation goal of " three is public "+energy-conservation.
In order to solve the above-mentioned technical problem, the technical solution adopted in the present invention is：
A kind of multicycle generation schedule coordination optimization and closed loop control method, comprise the following steps,
Step one, monthly generation scheduling establishment is carried out；With the minimum target of power plant's electricity schedule variance, according to monthly system
Load prediction, monthly tie line plan, the prediction of monthly bus load, monthly electrical overhaul and monthly power plant's electricity plan, it is considered to
Account load balancing constraints, unit operation constraint and power system security constraints, generate electricity using the establishment of monthly generation scheduling Optimized model is monthly
Plan, generates Unit Combination, unit day according to monthly generation scheduling and it is expected that voltameter is drawn and the follow-up rate of load condensate of unit；
Step 2, carries out generation schedule a few days ago and works out；Using the follow-up rate of load condensate of the unit obtained by monthly generation scheduling as foundation,
It is expected that voltameter draws the minimum target of deviation with unit day, according to the follow-up rate of load condensate of unit, short term system load prediction, short-term
Bus load prediction, short-term tie line plan, Unit Combination state, electric and machine stove repair schedule, it is considered to account load balancing constraints,
Unit operation is constrained and power system security constraints, and generation schedule a few days ago is worked out using generation schedule Optimized model a few days ago；
Step 3, carries out in a few days rolling planning establishment；According to unit follow-up rate of load condensate generation desired plan, by with terms of expectation
The minimum target of deviation is drawn, according to the prediction of ultra-short term system loading, the prediction of ultra-short term bus load, real-time tie line plan, water
Electricity and new energy prediction and ad hoc inspection and repair plan, in a few days rolling planning is worked out using with identical Optimized model in step 2；
Step 4, AGC is by computer-assisted classification, it is determined that only undertaking the unit of prime power, only undertaking the machine of prime power
Group tracking in a few days rolling planning, realizes closed-loop control；
Step 5, unit actual operating data feeds back to monthly generation scheduling establishment, to monthly generation scheduling rolling amendment.
Unit generation plan, Optimized model are calculated using daily peak load in monthly generation scheduling Optimized model in step one
It is specific as follows,
Pi,minui,t≤pi,t≤Pi,maxui,t (6)
yi,t-zi,t=ui,t-ui,t-1 (7)
Pi,minui,t*24≤Ei,t≤Pi,maxui,t*24 (11)
Ei,t≤pi,tui,t*24 (12)
In formula：M be system in participate in scheduling power plant's number；N be system in participate in scheduling unit number；pt sysldFor system
In the load prediction of t periods；pi,tFor the i-th unit exerting oneself in the t periods；ri,tThe rotation provided for the i-th unit in the t periods is standby
With；prmax,tFor system the t periods the standby upper limit of positive rotation；prmin,tFor system the t periods the standby lower limit of positive rotation；pi,max
And pi,minThe respectively bound of the i-th unit power output；ui,tRunning status for the i-th unit in the t periods, 1 represents operation, 0
Represent to stop transport；ui,t-1Represent running status of i-th unit in the t-1 periods；yi,tRepresent that state of the unit from shutting down start becomes
Change；zi,tRepresent state change of the unit from start to shutdown；λi,tRepresent rate of load condensate of i-th unit in the t periods；pij,tRepresent branch
The trend power of road or section ij in t；pij 、Branch road or section ij forward and reverse limit value are represented respectively；Ei,tFor i-th
Generated energy of the unit in the t periods；EpFor power plant's electricity optimum results；Ep 0For power plant p monthly electricity optimization aim；For the moon
Spend power plant's plan electricity；Et sysldThe total electricity demand of generated energy for system in the t periods, i.e. t periods；lpRepresent that power plant is monthly
The deviation percent of electricity plan；The total deviation for the monthly electricity plan of power plant that f is represented；Formula (1) is object function, is represented with electricity
The minimum target of total deviation of the monthly electricity plan of factory；Formula (2) represents the monthly electricity schedule variance percentage of power plant, is monthly
Electricity deviation plans the ratio of electricity with its monthly power plant；Formula (3) represents that the system loading per daily peak laod is balanced；Formula (4) table
Show the daily electric quantity balancing of system；Formula (5) represents the spinning reserve constraint of system；Formula (6) represents that unit exerts oneself bound about
Beam；Formula (7)-(10) represent the running status constraint of unit；Formula (11) represents the Constraint of system；Formula (12) represents that unit is every
Day electricity and peak load units limits；Formula (13) represents the trend constraint of branch road and section in peak load point；Formula (14) represents every
The relation of day follow-up rate of load condensate of unit and electricity.
The identical Optimized model used in step 2 and step 3 for,
pi,minui,t≤pi,t≤pi,maxui,t (6)
-Δi≤pi,t-pi,t-1≤Δi (17)
In formula：The when hop count that NT calculates for generation schedule a few days ago；Represent maximum technology of i-th unit in the t periods
Exert oneself；pi,t-1For the i-th unit exerting oneself in the t-1 periods；kiRepresent regulatory factor；ΔiCan load increase and decrease per the period for the i-th unit
Maximum；F represents desired value, with the minimum target of unit desired plan deviation；Formula (16) is represented and monthly plan is calculated
Obtained desired plan deviation is minimum；Formula (17) represents unit climbing, landslide constraint.
The beneficial effects of the invention are as follows：The 1st, the coordination optimization cycle is elongated to monthly, optimum results, the optimization mesh in each cycle
Efficient cooperation between mark and constraint, long period is planned to make most optimum distribution of resources in long-time span, is that short cycle planning is carried
For qualitative and tentatively quantitative guidance and control, short cycle planning after long period planned outcome is obtained, with reference in the short cycle more
The optimization that new data make more effectual property is calculated, and optimum results are fed back into long period in the works, realizes that the multicycle dispatches
Coordination optimization and the iterative adjustment of plan, realize the overall most optimum distribution of resources and security constraint control in longer time dimension
System；2nd, monthly generation scheduling establishment uses multi-period High Efficiency Modeling technology, and calculating performance and computational accuracy can meet actual need
Ask；3rd, monthly generation scheduling establishment, a few days ago planning optimization establishment, in a few days real-time planning optimization establishment, AGC controls realize generating
The coordination optimization of plan and closed-loop control, by the coordination optimization of different time sequence generation schedule, realize multicycle scheduling meter
The combination drawn and coordinate operation, realize the linking of each periodic scheduling plan with associating, by potential risk in the different time
Decomposed layer by layer on yardstick, risk control ability is strengthened by iterative control, the margin of safety of operation plan is lifted, peace is set up
Control system is coordinated in full economic integration, improves the lean level of operation plan；4th, the present invention is based on the follow-up rate of load condensate of unit,
By it is monthly, each cycle generation schedule such as a few days ago, in a few days roll and run through, realize the regulation goal of " three public "+energy-conservation.
Brief description of the drawings
Fig. 1 is flow chart of the invention.
Embodiment
Below in conjunction with Figure of description, the invention will be further described.Following examples are only used for clearly
Illustrate technical scheme, and can not be limited the scope of the invention with this.
As shown in figure 1, a kind of multicycle generation schedule coordination optimization and closed loop control method, comprise the following steps：
Step one, monthly generation scheduling establishment is carried out；Monthly generation scheduling according to plan the startup time can be divided into the beginning of the month and
In month, monthly generation scheduling is with the minimum target of power plant's electricity schedule variance, according to the prediction of monthly system loading, monthly interconnection
Plan, the prediction of monthly bus load, monthly electrical overhaul and monthly power plant's electricity plan, it is considered to account load balancing constraints, unit fortune
Row constraint and power system security constraints, monthly generation scheduling is worked out using monthly generation scheduling Optimized model, is counted according to monthly generate electricity
Draw generation Unit Combination, unit day and it is expected that voltameter is drawn and the follow-up rate of load condensate of unit.
Unit generation plan is calculated using daily peak load in above-mentioned monthly generation scheduling Optimized model, model is specifically such as
Under：
Pi,minui,t≤pi,t≤Pi,maxui,t (6)
yi,t-zi,t=ui,t-ui,t-1 (7)
Pi,minui,t*24≤Ei,t≤Pi,maxui,t*24 (11)
Ei,t≤pi,tui,t*24 (12)
In formula：M be system in participate in scheduling power plant's number；N be system in participate in scheduling unit number；pt sysldFor system
In the load prediction of t periods；pi,tFor the i-th unit exerting oneself in the t periods；ri,tThe rotation provided for the i-th unit in the t periods is standby
With；prmax,tFor system the t periods the standby upper limit of positive rotation；prmin,tFor system the t periods the standby lower limit of positive rotation；pi,max
And pi,minThe respectively bound of the i-th unit power output；ui,tRunning status for the i-th unit in the t periods, 1 represents operation, 0
Represent to stop transport；ui,t-1Represent running status of i-th unit in the t-1 periods；yi,tRepresent that state of the unit from shutting down start becomes
Change；zi,tRepresent state change of the unit from start to shutdown；λi,tRepresent rate of load condensate of i-th unit in the t periods；pij,tRepresent branch
The trend power of road or section ij in t；pij 、Branch road or section ij forward and reverse limit value are represented respectively；Ei,tFor i-th
Generated energy of the unit in the t periods；EpFor power plant's electricity optimum results；Ep 0For power plant p monthly electricity optimization aim；For the moon
Spend power plant's plan electricity；Et sysldThe total electricity demand of generated energy for system in the t periods, i.e. t periods；lpRepresent that power plant is monthly
The deviation percent of electricity plan；The total deviation for the monthly electricity plan of power plant that f is represented.
Above-mentioned formula (1) is object function, is represented with the minimum target of total deviation of the monthly electricity plan of power plant；Formula (2) table
Show the monthly electricity schedule variance percentage of power plant, be the ratio that monthly electricity deviation plans electricity with its monthly power plant；Formula (3)
Represent that the system loading per daily peak laod is balanced；Formula (4) represents the daily electric quantity balancing of system；Formula (5) represents the rotation of system
Reserve Constraint；Formula (6) represents the bound constraint of exerting oneself of unit；Formula (7)-(10) represent the running status constraint of unit；Formula
(11) Constraint of system is represented；Formula (12) represents the daily electricity of unit and peak load units limits；Formula (13) represents branch road
With section peak load point trend constraint；Formula (14) represents the daily follow-up rate of load condensate of unit and the relation of electricity.
Step 2, carries out generation schedule a few days ago and works out；Using the follow-up rate of load condensate of the unit obtained by monthly generation scheduling as foundation,
It is expected that voltameter draws the minimum target of deviation with unit day, according to the follow-up rate of load condensate of unit, short term system load prediction, short-term
Bus load prediction, short-term tie line plan, Unit Combination state, electric and machine stove repair schedule, it is considered to account load balancing constraints,
Unit operation is constrained and power system security constraints, and generation schedule a few days ago is worked out using generation schedule Optimized model a few days ago.Wherein, unit
Follow-up rate of load condensate can be manually adjusted according to unit actual conditions.
The above-mentioned Optimized model of generation schedule a few days ago is as follows：
pI, minui,t≤pi,t≤pi,maxui,t (6)
-Δi≤pi,t-pi,t-1≤Δi (17)
In formula：The when hop count that NT calculates for generation schedule a few days ago；Represent that maximum technology of i-th unit in the t periods goes out
Power；pi,t-1For the i-th unit exerting oneself in the t-1 periods；kiRepresent regulatory factor；ΔiCan load increase and decrease per the period for i-th unit
Maximum；F represents desired value, with the minimum target of unit desired plan deviation.
Above-mentioned kiThe regulatory factor of expression each unit can be with different, and the small unit of regulatory factor is preferentially adjusted, and is led to
Adjustment regulatory factor is crossed, various shaping modes can be simulated, such as take kiSpecified appearance can be realized for unit rated capacity inverse
The big preferential regulation of amount, take a few days ago generation schedule exert oneself the electricity big preferential regulation reciprocal that can realize a plan, take unit to adjust
Capacity inverse can realize the big preferential regulation of pondage, take creep speed inverse to realize the big preferential tune of regulations speed
Section, in addition, by taking kiFor segment increasing parameter, the various patterns such as equal proportion smooth adjustment between unit can also be realized.
Above-mentioned formula (16) represents and monthly plan calculates obtained desired plan deviation minimum；Formula (17) represents that unit is climbed
Slope, landslide constraint.
Step 3, carries out in a few days rolling planning establishment；According to unit follow-up rate of load condensate generation desired plan, by with terms of expectation
The minimum target of deviation is drawn, according to the prediction of ultra-short term system loading, the prediction of ultra-short term bus load, real-time tie line plan, water
Electricity and new energy prediction and ad hoc inspection and repair plan, in a few days rolling planning is worked out using with identical Optimized model in step 2.
Unit is divided into by above-mentioned in a few days rolling planning：Track generation schedule pattern unit, firm output curve machine a few days ago
Unit, new energy that group, the automatic unit for participating in ACE adjustment, the unit for participating in a few days rolling planning adjustment, tracking are actually exerted oneself
Unit, preceding four classes unit can manually be set, in case of emergency can be according to certain rule mutually phase transformation.Six class units
In, the unit for only participating in a few days rolling planning adjustment undertakes the deviation of short-term load forecasting, and other five classes units are exerted oneself
Plan source.In in a few days rolling planning establishment, the unit that in a few days rolling planning adjustment is participated in principle is counted according to generating electricity a few days ago
The follow-up rate of load condensate generation desired plan of the unit determined is drawn, other units enter as firm output to be optimized, to realize that day is expected
Electricity can also carry out artificial correction according to power plant's electricity performance in a few days transmitting to the follow-up rate of load condensate of unit.
Step 4, AGC is by computer-assisted classification, it is determined that only undertaking the unit of prime power, only undertaking the machine of prime power
Group tracking in a few days rolling planning, realizes the closed-loop control of multicycle generation schedule.
Unit can substantially be divided into two major classes by the AGC according to prime power and regulation power：A part of unit is only held
Carry on a shoulder pole prime power, another part unit undertaken on the basis of prime power is undertaken, also ACE adjustment power, with a few days roll
Plan in closed-loop control, the former, as prime power, by tracking in a few days rolling planning, is realized many using in a few days rolling planning
The closed-loop control of cycle generation schedule.
Step 5, unit actual operating data feeds back to monthly generation scheduling establishment, to monthly generation scheduling rolling amendment.
The process described above is applied in certain province's power network.Province's intelligent grid supporting system technology scheduling meter
Be divided into work(and apply this method, realize it is monthly, a few days ago, the in a few days rolling in three cycles coordinates to work out and realize with AGC to close
Ring is controlled, and is the Beneficial in multicycle generation schedule field.Made between each cycle of this method with the follow-up rate of load condensate of unit
For the clue and foundation of coordination optimization, by the coordination optimization of different time sequence generation schedule, multicycle operation plan is realized
Coordinate operation, realize that the linking of each periodic scheduling plan, with associating, potential risk is divided layer by layer in different time scales
Solution, strengthens risk control ability by iterative control, lifts the margin of safety of operation plan, sets up safety economy integration
Coordinate control system, improve the lean level of operation plan.
General principle, principal character and the advantage of the present invention has been shown and described above.The technical staff of the industry should
Understand, the present invention is not limited to the above embodiments, the original for simply illustrating the present invention described in above-described embodiment and specification
Reason, without departing from the spirit and scope of the present invention, various changes and modifications of the present invention are possible, these changes and improvements
It all fall within the protetion scope of the claimed invention.The claimed scope of the invention is by appended claims and its equivalent circle
It is fixed.
Claims (2)
1. a kind of multicycle generation schedule coordination optimization and closed loop control method, it is characterised in that：Comprise the following steps,
Step one, monthly generation scheduling establishment is carried out；With the minimum target of power plant's electricity schedule variance, according to monthly system loading
Prediction, the prediction of monthly tie line plan, monthly bus load, monthly electrical overhaul and monthly power plant's electricity plan, it is considered to load
Constraints of Equilibrium, unit operation constraint and power system security constraints, monthly generation scheduling is worked out using monthly generation scheduling Optimized model,
Unit Combination, unit day are generated according to monthly generation scheduling and it is expected that voltameter is drawn and the follow-up rate of load condensate of unit；
Step 2, carries out generation schedule a few days ago and works out；Using the follow-up rate of load condensate of the unit obtained by monthly generation scheduling as foundation, with
Unit day expects that voltameter draws the minimum target of deviation, according to the follow-up rate of load condensate of unit, short term system load prediction, short-term bus
Load prediction, short-term tie line plan, Unit Combination state, electric and machine stove repair schedule, it is considered to account load balancing constraints, unit
Operation constraint and power system security constraints, generation schedule a few days ago is worked out using generation schedule Optimized model a few days ago；
Step 3, carries out in a few days rolling planning establishment；According to the follow-up rate of load condensate generation desired plan of unit, with inclined with desired plan
The minimum target of difference, according to the prediction of ultra-short term system loading, the prediction of ultra-short term bus load, real-time tie line plan, water power and
New energy is predicted and ad hoc inspection and repair plan, and in a few days rolling planning is worked out using with identical Optimized model in step 2；
Step 4, AGC is by computer-assisted classification, it is determined that only undertake the unit of prime power, only undertake the unit of prime power with
Track in a few days rolling planning, realizes closed-loop control；
Step 5, unit actual operating data feeds back to monthly generation scheduling establishment, to monthly generation scheduling rolling amendment；
The identical Optimized model used in step 2 and step 3 for,
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<mn>1</mn>
</mrow>
<mi>N</mi>
</munderover>
<msub>
<mi>p</mi>
<mrow>
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<mo>,</mo>
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</mrow>
</msub>
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<msup>
<msub>
<mi>p</mi>
<mi>t</mi>
</msub>
<mrow>
<mi>s</mi>
<mi>y</mi>
<mi>s</mi>
<mi>l</mi>
<mi>d</mi>
</mrow>
</msup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>3</mn>
<mo>)</mo>
</mrow>
</mrow>
pi,minui,t≤pi,t≤pi,maxui,t (6)
-Δi≤pi,t-pi,t-1≤Δi (17)
<mrow>
<munder>
<msub>
<mi>p</mi>
<mrow>
<mi>i</mi>
<mi>j</mi>
</mrow>
</msub>
<mo>&OverBar;</mo>
</munder>
<mo>&le;</mo>
<msub>
<mi>p</mi>
<mrow>
<mi>i</mi>
<mi>j</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msub>
<mo>&le;</mo>
<mover>
<msub>
<mi>p</mi>
<mrow>
<mi>i</mi>
<mi>j</mi>
</mrow>
</msub>
<mo>&OverBar;</mo>
</mover>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>13</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula：The when hop count that NT calculates for generation schedule a few days ago；Represent that maximum technology of i-th unit in the t periods is exerted oneself；
pi,t-1For the i-th unit exerting oneself in the t-1 periods；kiRepresent regulatory factor；ΔiFor the i-th unit per the period can load increase and decrease most
Big value；F represents desired value, with the minimum target of unit desired plan deviation；N be system in participate in scheduling unit number；λi,t
Represent rate of load condensate of i-th unit in the t periods；pt sysldFor system the t periods load prediction；ui,tIt is the i-th unit in the t periods
Running status, 1 represents operation, and 0 represents to stop transport；pij 、Branch road or section ij forward and reverse limit value are represented respectively；pij,tRepresent
The trend power of branch road or section ij in t；pi,maxAnd pi,minThe respectively bound of the i-th unit power output；pi,tFor
I-th unit is exerted oneself the t periods；
Formula (16) is represented and monthly plan calculates obtained desired plan deviation minimum；Formula (17) represents unit climbing, come down about
Beam.
2. a kind of multicycle generation schedule coordination optimization according to claim 1 and closed loop control method, it is characterised in that：
Unit generation plan is calculated using daily peak load in monthly generation scheduling Optimized model in step one, Optimized model is specifically such as
Under,
<mrow>
<mi>min</mi>
<mi>f</mi>
<mo>=</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>M</mi>
</munderover>
<msub>
<mi>l</mi>
<mi>p</mi>
</msub>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mo>|</mo>
<msub>
<mi>E</mi>
<mi>p</mi>
</msub>
<mo>-</mo>
<msubsup>
<mi>E</mi>
<mi>p</mi>
<mn>0</mn>
</msubsup>
<mo>|</mo>
<mo>/</mo>
<msubsup>
<mi>E</mi>
<mi>p</mi>
<msup>
<mn>0</mn>
<mo>&prime;</mo>
</msup>
</msubsup>
<mo>=</mo>
<msub>
<mi>l</mi>
<mi>p</mi>
</msub>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>2</mn>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>N</mi>
</munderover>
<msub>
<mi>p</mi>
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<mi>i</mi>
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</msup>
<mo>-</mo>
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<mo>&Sigma;</mo>
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<mo>-</mo>
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Pi,minui,t≤pi,t≤Pi,maxui,t (6)
yi,t-zi,t=ui,t-ui,t-1 (7)
<mrow>
<mtable>
<mtr>
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<mo>-</mo>
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</mtable>
<mo>-</mo>
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<mn>0</mn>
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</mtable>
<mo>-</mo>
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Pi,minui,t*24≤Ei,t≤Pi,maxui,t*24 (11)
Ei,t≤pi,tui,t*24 (12)
<mrow>
<munder>
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</mrow>
</msub>
<mo>&OverBar;</mo>
</mover>
<mo>-</mo>
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</mrow>
<mrow>
<msub>
<mi>&lambda;</mi>
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<mi>t</mi>
</mrow>
</msub>
<mo>=</mo>
<mfrac>
<msub>
<mi>E</mi>
<mrow>
<mi>i</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msub>
<msub>
<mi>P</mi>
<mrow>
<mi>i</mi>
<mo>,</mo>
<mi>m</mi>
<mi>a</mi>
<mi>x</mi>
</mrow>
</msub>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>14</mn>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<munder>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>&Element;</mo>
<mi>p</mi>
</mrow>
</munder>
<msub>
<mi>E</mi>
<mrow>
<mi>i</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msub>
<mo>=</mo>
<msub>
<mi>E</mi>
<mi>p</mi>
</msub>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
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<mo>(</mo>
<mn>15</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula：M be system in participate in scheduling power plant's number；N be system in participate in scheduling unit number；pt sysldIt is system in t
The load prediction of section；pi,tFor the i-th unit exerting oneself in the t periods；ri,tThe spinning reserve provided for the i-th unit in the t periods；
prmax,tFor system the t periods the standby upper limit of positive rotation；prmin,tFor system the t periods the standby lower limit of positive rotation；pi,maxWith
pi,minThe respectively bound of the i-th unit power output；ui,tRunning status for the i-th unit in the t periods, 1 represents operation, 0 table
Show stoppage in transit；ui,t-1Represent that the i-th unit existst-1The running status of period；yi,tRepresent unit from the state change shut down to start；
zi,tRepresent state change of the unit from start to shutdown；λi,tRepresent rate of load condensate of i-th unit in the t periods；pij,tRepresent branch road
Or section ij is in the trend power of t；pij 、Branch road or section ij forward and reverse limit value are represented respectively；Ei,tFor the i-th machine
Generated energy of the group in the t periods；EpFor power plant's electricity optimum results；Ep 0For power plant p monthly electricity optimization aim；To be monthly
Power plant plans electricity；Et sysldThe total electricity demand of generated energy for system in the t periods, i.e. t periods；lpRepresent the monthly electricity of power plant
The deviation percent that gauge is drawn；The total deviation for the monthly electricity plan of power plant that f is represented；
Formula (1) is object function, is represented with the minimum target of total deviation of the monthly electricity plan of power plant；Formula (2) represents power plant
Monthly electricity schedule variance percentage, is the ratio that monthly electricity deviation plans electricity with its monthly power plant；Formula (3) represents daily
The system loading balance of peak load；Formula (4) represents the daily electric quantity balancing of system；Formula (5) represents the spinning reserve constraint of system；
Formula (6) represents the bound constraint of exerting oneself of unit；Formula (7)-(10) represent the running status constraint of unit；Formula (11) represents system
Constraint；Formula (12) represents the daily electricity of unit and peak load units limits；Formula (13) represents that branch road and section are negative at peak
The trend constraint of lotus point；Formula (14) represents the daily follow-up rate of load condensate of unit and the relation of electricity.
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| CN107248017B (en) * | 2017-07-26 | 2020-08-04 | 广东电网有限责任公司电力调度控制中心 | Real-time power generation plan optimization method considering cogeneration |
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| CN107563658B (en) * | 2017-09-12 | 2021-04-09 | 国网浙江省电力公司 | Power grid dispatching operation overall process risk regulation and control method |
| CN109450000B (en) * | 2017-11-09 | 2021-07-30 | 广东电网有限责任公司电力调度控制中心 | Power generation plan deviation electric quantity distribution method based on load rate adjustment direction |
| CN107767086A (en) * | 2017-11-24 | 2018-03-06 | 国网甘肃省电力公司电力科学研究院 | New energy station output lower limit rolling amendment method based on generated power forecasting |
| CN108764738B (en) * | 2018-05-31 | 2022-07-08 | 四川大学 | Urban power transmission network safety probability assessment method considering elasticity margin |
| CN111476407B (en) * | 2020-03-25 | 2021-06-15 | 云南电网有限责任公司 | Medium-and-long-term hidden random scheduling method for cascade hydropower station of combined wind power photovoltaic power station |
| CN113346555B (en) * | 2021-05-25 | 2023-06-09 | 西安交通大学 | Daily rolling scheduling method considering electric quantity coordination |
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