CN109978322A - A kind of multi-stage scheduling method based on global optimization - Google Patents
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Abstract
A kind of multi-stage scheduling method based on global optimization, in conjunction with state, divide, province's three Levels Scheduling planning business processing feature, by calling the global optimization function of considering that state point saves Dispatch Plan information and constraint, it realizes that state point is saved to plan whether there is and constrains conflicting discriminatory analysis, and provide corresponding Adjusted Option, the ability for improving state, dividing, saving coordinated scheduling between multi-stage scheduling, enhancing three Levels Scheduling resource plan as a whole effect of optimization.
Description
Technical field
The invention belongs to Operation of Electric Systems dispatching technique field, more particularly to a kind of state's tune based on global optimization,
Divide and adjusts, saves the dispatching method for adjusting multi-stage scheduling mechanism.
Background technique
Currently, China has had been established state, divided, saves three Levels Scheduling planning work process, the association of multi-stage scheduling plan is realized
Adjust establishment.But extra-high voltage fast development makes power grid AC-DC coupling, send receiving end coupling, high-low pressure coupling even closer, it is right
Existing point of province's balance, the operation plan business model of scheduling weak coupling at different levels propose new challenge.Current state point saves scheduling meter
The business of drawing is by the way of the superior and the subordinate's work in series, and transmission divides tune after state's tune works out state's tune plan, adjusts and is worked out certainly as point
The boundary of body plan feeds back to state adjusting if there is constraining itself adjustment not and changes and iteration, and a planning point is adjusted to complete point
It adjusts to send after plan and saves tune, as the boundary for adjusting establishment itself plan is saved, fed back to not if there is constraining itself adjustment
Adjusting is divided to change simultaneously iteration.Such state point save it is multistage between back and forth coordinate that the period is long, and interaction is excessively frequent between level, process complexity,
Data transmission pressure, person works' intensity are all being continuously increased.Meanwhile the plan of sending end power grid and the plan of receiving end power grid via state,
Divide plan to be formed to be highly coupled, the power constraint of receiving end is sent easily to form " seesaw " phenomenon, is highly coupled the plan of province, state point
Come, traditional subregion divides the planning mode for saving balance consideration to be difficult to improve province, state point cooperation degree, three Levels Scheduling plan
Establishment efficiency and pool degree of optimization have to be hoisted.
Also, the extensive access of extensive clean energy resource, the fast-developing and big operation architecture of extra-high voltage grid are built
It constantly promotes, proposes challenge, the requirement of bulk power grid safe and stable operation and most optimum distribution of resources to Operation of Electric Systems scheduling
It is increasingly urgent to.Existing generation schedule establishment is normally based on the provincial plan of in-situ balancing, and state's tune and each point of tune business
Mode is different, and with the fast development of transregional allocative abilities, state point adjusts to act in the whole network balance of electric power and ener and protrude.When
Preceding state serially works out plan between dividing province to dispatch back and forth the coordination period is long, interactive excessively frequent between level, process complexity, data biography
Defeated pressure, person works' intensity are all being continuously increased, it is difficult to play bulk power grid most optimum distribution of resources ability, operation plan establishment effect
Rate and pool degree of optimization have to be hoisted.
Summary of the invention
In this regard, the present invention devises a kind of multi-stage scheduling method based on global optimization, comprising:
Step 1, basic data prepare: including state harmonize it is standby, point harmonize it is standby and save harmonize it is standby；
Step 2, state, point, save and determine respective constraint, target and boundary condition respectively: state's tune point reconciles to save and adjust about
Beam, target and boundary condition are aggregated into united analysis platform, to have the panorama point that bulk power grid state point saves Dispatch Plan information
Analysis condition；
Step 3, based on state point province operation plan institute's summary information, the global optimization for carrying out province, state point generation schedule is calculated,
Obtain the interconnection for meeting objective function and all kinds of constraints and unit plan；
Step 4, check the adjustment situation after global optimization: check the target function value after the step 3 calculates whether be
Zero, if it is zero, show that state divides province to declare unit plan and do not need to adjust, state point saves the plan declared and can be performed, if not being
Zero, then state point is saved and declare unit and be adjusted according to constraint, state adjusted point, which saves to declare plan and meet, executes requirement；
Step 5, as a result show and return: by state point save the plan declared return state, point, save scheduling institution and be scheduled and hold
Row.
Present invention combination state, point, save three Levels Scheduling planning business processing feature, propose state's tune based on global optimization,
Divide and adjust, save the dispatching method for adjusting multi-stage scheduling mechanism, state, Fen He save tune while carrying out operation plan vocational work, and establishment is respective
Dispatch Plan information so that each point reconcile save adjust Dispatch Plan information and constraint be collected to state and transfer in row critical-path analysis；It is logical
The global optimization function of calling and consider that state point saves Dispatch Plan information and constraint is crossed, realizes and plan is saved with the presence or absence of constraint to state point
Conflicting discriminatory analysis, and corresponding Adjusted Option is provided, the ability for improving state, dividing, saving coordinated scheduling between multi-stage scheduling,
Enhance three Levels Scheduling resource and plans as a whole effect of optimization.
Detailed description of the invention
Fig. 1 flow chart of the method for the present invention
Specific embodiment
For a better understanding of the present invention, with reference to the description of the embodiment of the accompanying drawings, system of the invention is carried out
Further instruction.
In order to fully understand the present invention, numerous details are referred in the following detailed description.But art technology
Personnel are it should be understood that the present invention may not need these details and realize.In embodiment, it is not described in detail well known side
Method, process, component, in order to avoid unnecessarily make embodiment cumbersome.
It is shown in Figure 1, the multi-stage scheduling method based on global optimization that the present invention provides a kind of, comprising:
Step 1, basic data prepare: including state harmonize it is standby, point harmonize it is standby and save harmonize it is standby；
Step 2, state, point, save and determine respective constraint, target and boundary condition respectively: state's tune point reconciles to save and adjust about
Beam, target and boundary condition are aggregated into united analysis platform, to have the panorama point that bulk power grid state point saves Dispatch Plan information
Analysis condition；
Step 3, based on state point province operation plan institute's summary information, the global optimization for carrying out province, state point generation schedule is calculated,
Obtain the interconnection for meeting objective function and all kinds of constraints and unit plan；
Step 4, check the adjustment situation after global optimization: check the target function value after the step 3 calculates whether be
Zero, if it is zero, show that state divides province to declare unit plan and do not need to adjust, state point saves the plan declared and can be performed, if not being
Zero, then state point is saved and declare unit and be adjusted according to constraint, state adjusted point, which saves to declare plan and meet, executes requirement；
Step 5, as a result show and return: by state point save the plan declared return state, point, save scheduling institution and be scheduled and hold
Row.
Preferably, wherein the basic data include electric network model, device parameter, unit operating parameter, maintenance plan,
Electricity plan, all kinds of constraint informations etc..
Preferably, wherein the step 1, basic data prepare, specifically include:
Step 1-1, state harmonize standby: related basic data prepare include long-term electricity plan in the transregional transaction of direct current,
Direct current channel ability of supplying electric power, straight tune unit operation constraint, directly adjusts unit maintenance scheduling at the plan of direct current channel interruption maintenance.
Step 1-2, point adjustment are standby: related basic data prepares to include that unit is directly adjusted to run constraint, straight tune unit inspection
Long-term electricity plan in interconnection between the plan of repairing, transprovincially cross-section limitation, straight major network interruption maintenance plan, province.
It is standby to save adjustment by step 1-3: related basic data prepares to include crew base parameter, unit maintenance scheduling, machine
Group operation constraint, electricity progress balanced range, large user's direct-furnish transaction, power balance constraint, power system security constraints, grid power blackout
Maintenance plan, clean energy resource power generation prediction case.
Preferably, wherein the step 3 is carried out state point and saved generation schedule based on state point province operation plan institute's summary information
Global optimization calculate, obtain the interconnection for meeting objective function and all kinds of constraints and unit plan, specifically include:
Objective function is arranged in step 3-1:
It is saved with state point and declares the minimum target of Plan rescheduling,
Wherein, Minimize indicates minimum, NGFor generating set number, NTFor fixed number, i is unit serial number, when t is
Section serial number, Pi(t) active power output for being t period unit i, Bi(Pi(t), t) be i-th generator t period cost,
The Bi(Pi(t), t)=Ki(t)|(Pi(t)ui(t)-Pi,0(t)ui(t))| (2)
Wherein, Pi,0(t) it contributes for unit i in the submission of period t, uiIt (t) is start-stop state of the unit i in period t, Ki
(t) power output for unit i in period t adjusts penalty function；
Constraint condition is arranged in step 3-2；
Step 3-3 carries out the global optimization calculating that state point saves generation schedule according to objective function and constraint condition, is expired
The interconnection and unit plan of foot-eye function and all kinds of constraints.
Preferably, wherein the step 3-2 is arranged constraint condition, specifically includes:
Step 3-2-1, setting state divide, save power-balance constraint:
Wherein, NGFor unit number, Pload(t) it is predicted for the system loading of period t；
Step 3-2-2, setting state divide, save Reserve Constraint:
Wherein,WithRespectively state, point, save positive and negative stand-by requirement,P i(t) the going out in period t for unit i
Power lower limit,For unit i period t the power output upper limit；
Step 3-2-3, setting state divide, save unit output constraint:
Step 3-2-4, setting state divide, save unit ramp loss:
Pi(t)-Pi(t-1)≤Pi up(t),ui(t)=1&ui(t-1)=1 (7)
Pi(t-1)-Pi(t)≤Pi down(t),ui(t)=1&ui(t-1)=1 (8)
Wherein, Pi up(t) and Pi down(t) climb in period t upper lower limit value for unit i；
Step 3-2-5, setting state divide, save unit minimum runing time and minimum idle time constraint:
Wherein,WithRespectively state, point, save unit i period t minimum runing time and it is minimum stop transport when
Between；
Network Security Constraints are arranged in step 3-2-6:
Wherein, PlineIt (t) is period t transmission line of electricity trend value,WithRespectively branch or section tidal current be most
Small limit value and threshold limit value.
Present invention combination state, point, save three Levels Scheduling planning business processing feature, propose state's tune based on global optimization,
Divide and adjust, save the dispatching method for adjusting multi-stage scheduling mechanism, state, Fen He save tune while carrying out operation plan vocational work, and establishment is respective
Dispatch Plan information so that each point reconcile save adjust Dispatch Plan information and constraint be collected to state and transfer in row critical-path analysis；It is logical
The global optimization function of calling and consider that state point saves Dispatch Plan information and constraint is crossed, realizes and plan is saved with the presence or absence of constraint to state point
Conflicting discriminatory analysis, and corresponding Adjusted Option is provided, the ability for improving state, dividing, saving coordinated scheduling between multi-stage scheduling,
Enhance three Levels Scheduling resource and plans as a whole effect of optimization.
Here the preferred embodiment of the present invention is only illustrated, but its meaning is not intended to limit the scope of the invention, applicability and is matched
It sets.On the contrary, detailed explanation of the embodiments can be implemented by those skilled in the art.It will be understood that without departing from appended power
In the case of the spirit and scope of the invention that sharp claim determines, changes and modifications may be made to details.
Claims (5)
1. a kind of multi-stage scheduling method based on global optimization characterized by comprising
Step 1, basic data prepare: including state harmonize it is standby, point harmonize it is standby and save harmonize it is standby；
Step 2, state, point, save and determine respective constraint, target and boundary condition respectively: state's tune point reconciles to save and adjust constraint, mesh
Mark and boundary condition are aggregated into united analysis platform, to have the panorama analytical method item that bulk power grid state point saves Dispatch Plan information
Part；
Step 3, based on state point province operation plan institute's summary information, the global optimization for carrying out province, state point generation schedule is calculated, is obtained
Meet interconnection and the unit plan of objective function and all kinds of constraints；
Step 4, it checks the adjustment situation after global optimization: checking whether the target function value after the step 3 calculates is zero, such as
Fruit is zero, then shows that state divides province to declare unit plan and do not need to adjust, and state point saves the plan declared and can be performed, if be not zero,
State point is saved and declares unit and is adjusted according to constraint, state adjusted point, which saves to declare plan and meet, executes requirement；
Step 5, as a result show and return: by state point save the plan declared return state, point, save scheduling institution and be scheduled execution.
2. according to the method described in claim 1, wherein, the basic data includes electric network model, device parameter, unit operation
Parameter, maintenance plan, electricity plan, all kinds of constraint informations etc..
3. being specifically included according to the method described in claim 1, wherein, the step 1, basic data prepares:
Step 1-1, state harmonize standby: related basic data prepares to include long-term electricity plan, direct current in the transregional transaction of direct current
Channel ability of supplying electric power, straight tune unit operation constraint, directly adjusts unit maintenance scheduling at the plan of direct current channel interruption maintenance.
Step 1-2, point adjustment are standby: related basic data prepares to include that unit is directly adjusted to run constraint, straight tune unit maintenance meter
It draws, long-term electricity plan in interconnection between cross-section limitation, straight major network interruption maintenance plan, province transprovincially.
It is standby to save adjustment by step 1-3: related basic data prepares to include crew base parameter, unit maintenance scheduling, unit fortune
Row constraint, electricity progress balanced range, large user's direct-furnish transaction, power balance constraint, power system security constraints, grid power blackout maintenance
Plan, clean energy resource power generation prediction case.
4. according to the method described in claim 1, wherein, the step 3, based on state point province operation plan institute's summary information, into
The global optimization that row state point saves generation schedule calculates, and obtains the interconnection for meeting objective function and all kinds of constraints and unit plan,
It specifically includes:
Objective function is arranged in step 3-1:
It is saved with state point and declares the minimum target of Plan rescheduling,
Minimize:
Wherein, Minimize indicates minimum, NGFor generating set number, NTFor fixed number, i is unit serial number, and t is period sequence
Number, Pi(t) active power output for being t period unit i, Bi(Pi(t), t) be i-th generator t period cost,
The Bi(Pi(t), t)=Ki(t)|(Pi(t)ui(t)-Pi,0(t)ui(t))| (2)
Wherein, Pi,0(t) it contributes for unit i in the submission of period t, uiIt (t) is start-stop state of the unit i in period t, Ki(t) it is
Power output of the unit i in period t adjusts penalty function；
Constraint condition is arranged in step 3-2；
Step 3-3 carries out the global optimization calculating that state point saves generation schedule according to objective function and constraint condition, obtains meeting mesh
The interconnection and unit plan of scalar functions and all kinds of constraints.
5. according to the method described in claim 4, wherein, the step 3-2 is arranged constraint condition, specifically includes:
Step 3-2-1, setting state divide, save power-balance constraint:
Wherein, NGFor unit number, Pload(t) it is predicted for the system loading of period t；
Step 3-2-2, setting state divide, save Reserve Constraint:
Wherein,WithRespectively state, point, save positive and negative stand-by requirement,P iIt (t) is unit i under the power output of period t
Limit,For unit i period t the power output upper limit；
Step 3-2-3, setting state divide, save unit output constraint:
Step 3-2-4, setting state divide, save unit ramp loss:
Pi(t)-Pi(t-1)≤Pi up(t),ui(t)=1&ui(t-1)=1 (7)
Pi(t-1)-Pi(t)≤Pi down(t),ui(t)=1&ui(t-1)=1 (8)
Wherein, Pi up(t) and Pi down(t) climb in period t upper lower limit value for unit i；
Step 3-2-5, setting state divide, save unit minimum runing time and minimum idle time constraint:
Wherein,WithRespectively state, point, save minimum runing time and minimum idle time of the unit i in period t；
Network Security Constraints are arranged in step 3-2-6:
Wherein, PlineIt (t) is period t transmission line of electricity trend value,WithThe respectively minimum limit value of branch or section tidal current
And threshold limit value.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114548499A (en) * | 2022-01-14 | 2022-05-27 | 北京全路通信信号研究设计院集团有限公司 | Maintenance plan adjusting method and system based on constants and variables |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103150686A (en) * | 2013-02-06 | 2013-06-12 | 中国电力科学研究院 | Network and province integrated plan establishment method based on distributed preprocessing and hierarchical coordination |
| CN108305518A (en) * | 2017-12-04 | 2018-07-20 | 国家电网公司 | A kind of province of the state based on distributed interconnection platform point joint teaching notes implementation method |
| CN108400601A (en) * | 2018-01-25 | 2018-08-14 | 国电南瑞科技股份有限公司 | A kind of province of extra-high voltage direct-current near region power grid state point collaboration Reactive Power Reserve computational methods |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103150686A (en) * | 2013-02-06 | 2013-06-12 | 中国电力科学研究院 | Network and province integrated plan establishment method based on distributed preprocessing and hierarchical coordination |
| CN108305518A (en) * | 2017-12-04 | 2018-07-20 | 国家电网公司 | A kind of province of the state based on distributed interconnection platform point joint teaching notes implementation method |
| CN108400601A (en) * | 2018-01-25 | 2018-08-14 | 国电南瑞科技股份有限公司 | A kind of province of extra-high voltage direct-current near region power grid state point collaboration Reactive Power Reserve computational methods |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114548499A (en) * | 2022-01-14 | 2022-05-27 | 北京全路通信信号研究设计院集团有限公司 | Maintenance plan adjusting method and system based on constants and variables |
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