CN108764549A - A kind of multi-drop arrangement energy storage polymerizing energy management method and system - Google Patents
A kind of multi-drop arrangement energy storage polymerizing energy management method and system Download PDFInfo
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- 238000004146 energy storage Methods 0.000 title claims abstract description 103
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- 238000007726 management method Methods 0.000 title claims abstract description 11
- 238000011156 evaluation Methods 0.000 claims abstract description 29
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Abstract
The invention discloses a kind of multi-drop arrangement energy storage polymerizing energy management method and device, the method includes：Initial solution S, initial temperature coefficient T are set according to each energy storage original state0；The initial solution S is the SOC energy storage states of each energy storage point of initial time；According to initial solution state and generate function generation new explanation S`；The generation function includes the active balance function determined according to each energy storage point parameter and reactive balance function；Confirm the new explanation S` and increment size △ Ts of the initial solution state S under evaluation function；The evaluation function is the variance for the energy storage state for solving corresponding each energy storage point；Whether it is more than the current solution of 0 update according to the increment size △ T；As the △ T < 0, receive the new explanation S` as current solution；As the △ T >=0, with probability e‑(△T/T)Receive the new explanation S` as current solution；Judge whether to meet end condition；If satisfied, then exporting output size of the current solution as corresponding each energy storage point at this time.
Description
Technical field
The present invention relates to technical field of electric power, more particularly, to a kind of multi-drop arrangement energy storage polymerizing energy management method
And system.
Background technology
Peak-valley difference adjusting, the promotion that multiple spot distributed energy storage system grid connection can not only effectively realize single-point application can be again
The functions such as raw power supply receiving ability, can also receive power grid United Dispatching, realize the power grid security support of pooled applications, improve system
The system functions such as operation stability and reliability, frequency modulation, pressure regulation.But its quantity is more, is unevenly distributed weighing apparatus, is of high cost, how to make more
Point distributed energy storage potentiality greatly played, coordinate energy-storage system centralization apply and multi-point dispersion formula application etc.
The difference between United Dispatching and local control strategy under different function, is that one in energy-storage system demonstration project compels to be essential
It asks.And distributed energy storage system application model is numerous, each point battery energy storage system control strategy, charge-discharge electric power, capacity, SOC,
Profit model has differences, and the factors such as effective binding time, convergence capacity potentiality, dynamic responding speed, equipment failure rate are
Influence the key factor of distributed energy storage convergence potentiality.
Invention content
It is asked to solve existing for background technology that distributed energy storage system control scheduling strategy is poor, Electrical energy distribution is unbalanced etc.
Topic, the present invention provides a kind of multi-drop arrangement energy storage polymerizing energy management method and systems, and the method and system are according to simulation
Annealing algorithm principle is laid out optimal each point energy storage according to the energy storage state of multiple energy storage points and distributes；A kind of multi-drop arrangement
Energy storage polymerizing energy management method includes：
Step 1, initial solution S, initial temperature coefficient T are set according to each energy storage original state0；The initial solution S is initial
The SOC energy storage states of moment each energy storage point；The initial temperature coefficient T0For the initial value of temperature coefficient；
Step 2, new explanation S` is generated according to initial solution state and generation function；The generation function includes according to each energy storage point
The active balance function and reactive balance function that parameter determines；
Step 3, confirm the new explanation S` and increment size △ Ts of the initial solution state S under evaluation function；The evaluation function
For the variance of the energy storage state of the corresponding each energy storage point of solution；Wherein △ T=C (S`)-C (S), C (S) are the evaluation function；
Step 4, whether the current solution of 0 update is more than according to the increment size △ T；As the △ T < 0, described in receiving
New explanation S` is as current solution；As the △ T >=0, with probability e-(ΔT/T)Receive the new explanation S` as current solution；
Step 5, judge whether to meet end condition；
If satisfied, then exporting output size of the current solution as corresponding each energy storage point at this time；
If not satisfied, being then modified the temperature coefficient under Current Temperatures coefficient by preset rules, and return to institute
The step 2 stated starts to re-execute；
Further, each value of the temperature coefficient carries out L iteration in calculating process；The iteration each time
The generation function determined all in accordance with current each energy storage point parameter generates new explanation S`；
Further, after the iteration each time generates new explanation S`, the method further includes：
It executes after completing the step 3 and step 4, judges whether current solution at this time meets end condition, if satisfied,
Then export output size of the current solution as corresponding each energy storage point at this time；
If not satisfied, then judging whether the iterations of Current Temperatures coefficient reach L times；
When not up to L times, next iteration is carried out；
When reaching L times, the temperature coefficient is modified by preset rules under Current Temperatures coefficient, and return to institute
The step 2 stated starts to re-execute；
Further, after the iteration each time generates new explanation S`, the method further includes：
It executes after completing the step 3 and step 4, judges whether the iterations of temperature coefficient at this time have reached L times；
If at not up to L times, carrying out next iteration；
If reach L times, judge whether current solution meets end condition；
If satisfied, then exporting output size of the current solution as corresponding each energy storage point at this time；
If not satisfied, being then modified the temperature coefficient under Current Temperatures coefficient by preset rules, and return to institute
The step 2 stated starts to re-execute；
Further, it is described be modified under Current Temperatures coefficient by preset rules including：
It is added on the basis of Current Temperatures using increment size △ T as correction factor, obtains new Current Temperatures；
Further, it is described be modified under Current Temperatures coefficient by preset rules including：
It is multiplied with Current Temperatures using default correction factor α, obtains new Current Temperatures；The correction factor α is
Constant, and 0.9 < α < 1；
Further, the end condition is that C (S`) is less than preset termination threshold value；
Further, the active balance function determined according to each energy storage point parameter and reactive balance function are distinguished
For：
Wherein, PGFor generator active power；PDFor load active power；QGFor generator reactive power；QDFor load without
Work(power；V is the admittance that voltage, G and the B of corresponding energy storage point are corresponding energy storage point；θ is the generator rotor angle of corresponding energy storage point.
A kind of multi-drop arrangement energy storage polymerizing energy manages system：
State set unit, the state set unit are used to set initial solution S, initial temperature according to each energy storage original state
Spend coefficient T0；The initial solution S is the SOC energy storage states of each energy storage point of initial time；The initial temperature coefficient T0For temperature system
Several initial values；
New explanation generates unit, and the new explanation generates unit and is used for according to initial solution state and generates function generation new explanation S`；
The generation function includes the active balance function determined according to each energy storage point parameter and reactive balance function；
Evaluation unit, the evaluation unit are used to confirm that new explanation to generate the new explanation S` and initial solution state that unit generates
Increment size △ Ts of the S under evaluation function；The evaluation function is the variance for the energy storage state for solving corresponding each energy storage point；Wherein
△ T=C (S`)-C (S), C (S) are the evaluation function；
The evaluation unit is used to whether be more than the current solution of 0 update according to the increment size △ T；As the △ T < 0
When, receive the new explanation S` as current solution；As the △ T >=0, with probability e-(ΔT/T)Receive the new explanation S` as current
Solution；
First judging unit described in first judging unit is for judging whether to meet end condition；If satisfied, then exporting this
When output size of the current solution as corresponding each energy storage point；It is corrected if not satisfied, then being sent to the state set unit
Instruction, makes the state set unit be modified to Current Temperatures coefficient according to preset rules；
Further, the system also includes second judgment units；
Each value that the state set unit is used to be arranged temperature coefficient carries out L iteration in calculating process；
The second judgment unit judges whether the iterations of Current Temperatures coefficient reach L times；When not up to L times,
The second judgment unit sends work order for thinking that the new explanation generates unit, carries out next iteration；When reaching L times
When, then revision directive is sent to the state set unit, makes the state set unit according to preset rules to Current Temperatures
Coefficient is modified；
Further, it refers to using increasing that the state set unit, which is modified by preset rules under Current Temperatures coefficient,
Magnitude △ T are added as correction factor on the basis of Current Temperatures, and new Current Temperatures are obtained；
Further, it refers to using pre- that the state set unit, which is modified by preset rules under Current Temperatures coefficient,
If correction factor α is multiplied with Current Temperatures, new Current Temperatures are obtained；The correction factor α is constant, and 0.9 < α <
1；
Further, the end condition of first judging unit is that C (S`) is less than preset termination threshold value.
Beneficial effects of the present invention are：Technical scheme of the present invention gives a kind of multi-drop arrangement energy storage polymerizing energy pipe
It manages method and system, the method and system simulated annealing is applied in the management of multi-drop arrangement energy storage polymerizing energy, with
The continuous decline of temperature coefficient, join probability kick characteristic finds the globally optimal solution of object function at random in solution space,
Energy storage i.e. in the current situation is laid out optimal case, the method and system using energy storage state of charge SOC as Rule of judgment,
Using the energy storage state of charge of each point distributed energy storage unanimously as scheduling requirement, the complementarity between individual is made full use of, group is weakened
Unordered, the autonomous operation of distributed energy storage are integrated into and receive United Dispatching by the randomness of body, become the potential advantages money of power grid
Source.
Description of the drawings
By reference to the following drawings, exemplary embodiments of the present invention can be more fully understood by：
Fig. 1 is a kind of flow chart of multi-drop arrangement energy storage polymerizing energy management method of the specific embodiment of the invention；
Fig. 2 is that a kind of multi-drop arrangement energy storage polymerizing energy of the specific embodiment of the invention manages the structure chart of system.
Specific implementation mode
Exemplary embodiments of the present invention are introduced referring now to the drawings, however, the present invention can use many different shapes
Formula is implemented, and is not limited to the embodiment described herein, and to provide these embodiments be to disclose at large and fully
The present invention, and fully convey the scope of the present invention to person of ordinary skill in the field.Show for what is be illustrated in the accompanying drawings
Term in example property embodiment is not limitation of the invention.In the accompanying drawings, identical cells/elements use identical attached
Icon is remembered.
Unless otherwise indicated, term (including scientific and technical terminology) used herein has person of ordinary skill in the field
It is common to understand meaning.Further it will be understood that with the term that usually used dictionary limits, should be understood as and its
The context of related field has consistent meaning, and is not construed as Utopian or too formal meaning.
Fig. 1 is a kind of flow chart of multi-drop arrangement energy storage polymerizing energy management method of the specific embodiment of the invention；Institute
Method and system are stated according to simulated annealing principle, optimal each point energy storage minute is laid out according to the energy storage state of multiple energy storage points
Match；A kind of multi-drop arrangement energy storage polymerizing energy management method includes：
Step 110, initial solution S, initial temperature coefficient T are set according to each energy storage original state0；The initial solution S is first
The SOC energy storage states of beginning moment each energy storage point；The initial temperature coefficient T0For the initial value of temperature coefficient；
Step 120, new explanation S` is generated according to initial solution state and generation function；The generation function includes according to each energy storage
The active balance function and reactive balance function that point parameter determines；
Further, the active balance function determined according to each energy storage point parameter and reactive balance function are distinguished
For：
Wherein, PGFor generator active power；PDFor load active power；QGFor generator reactive power；QDFor load without
Work(power；V is the admittance that voltage, G and the B of corresponding energy storage point are corresponding energy storage point；θ is the generator rotor angle of corresponding energy storage point.
Step 130, confirm the new explanation S` and increment size △ Ts of the initial solution state S under evaluation function；The evaluation letter
Number is the variance for the energy storage state for solving corresponding each energy storage point；Wherein △ T=C (S`)-C (S), C (S) are the evaluation function；
The △ T < 0 then illustrate the variance smaller of the variance ratio original solution S of new explanation S`, and the stored energy distribution layout represented is more
Add stabilization；
Step 140, whether the current solution of 0 update is more than according to the increment size △ T；As the △ T < 0, receive institute
New explanation S` is stated as current solution；As the △ T >=0, with probability e-(ΔT/T)Receive the new explanation S` as current solution；
Step 150, judge whether to meet end condition；
Further, the end condition is that C (S`) is less than preset termination threshold value；
If satisfied, thening follow the steps 160, output size of the current solution as corresponding each energy storage point at this time is exported；
If not satisfied, thening follow the steps 151, judge whether the iterations of Current Temperatures coefficient reach L times；
When not up to L times, step 152 is executed, the temperature coefficient carries out next iteration；Then step is further returned to
Rapid 120 start to re-execute；
When reaching L times, step 153 is executed, the temperature coefficient is carried out by preset rules under Current Temperatures coefficient
It corrects, and returns to the step 2 and start to re-execute；
Further, it is described be modified under Current Temperatures coefficient by preset rules including：
It is added on the basis of Current Temperatures using increment size △ T as correction factor, obtains new Current Temperatures；One
As increment size △ T < 0, this makes revised temperature further decrease；Ask that the △ T increasingly tend to 0 over numerous cycles,
So that modified temperature coefficient also can increasingly tend towards stability；
Further, it is described be modified under Current Temperatures coefficient by preset rules including：
It is multiplied with Current Temperatures using default correction factor α, obtains new Current Temperatures；The correction factor α is
Constant, and 0.9 < α < 1；
Further, it executes after completing the step 140, it is preferential to execute step 151, judge the iteration of temperature coefficient at this time
Whether number has reached L times；
If at not up to L times, executing step 152, next iteration is carried out；
If reach L times, step 150 is executed, judges whether current solution meets end condition；
If satisfied, executing step 160, then output size of the current solution as corresponding each energy storage point at this time is exported；
If not satisfied, thening follow the steps 153, the temperature coefficient is repaiied by preset rules under Current Temperatures coefficient
Just, it and returns to the step 120 and starts to re-execute；
Fig. 2 is that a kind of multi-drop arrangement energy storage polymerizing energy of the specific embodiment of the invention manages the structure chart of system, such as
Shown in Fig. 2, the system comprises：
State set unit 201, the state set unit 201 be used for according to each energy storage original state set initial solution S,
Initial temperature coefficient T0；The initial solution S is the SOC energy storage states of each energy storage point of initial time；The initial temperature coefficient T0For
The initial value of temperature coefficient；
Further, it is to instigate that the state set unit 201, which is modified by preset rules under Current Temperatures coefficient,
It uses increment size △ T to be added on the basis of Current Temperatures as correction factor, obtains new Current Temperatures；
Further, it is to instigate that the state set unit 201, which is modified by preset rules under Current Temperatures coefficient,
It is multiplied with Current Temperatures with default correction factor α, obtains new Current Temperatures；The correction factor α is constant, and 0.9
< α < 1；
New explanation generates unit 202, and it is new for being generated according to initial solution state and generation function that the new explanation generates unit 202
Solve S`；The generation function includes the active balance function determined according to each energy storage point parameter and reactive balance function；
Evaluation unit 203, the evaluation unit 203 be used for confirm new explanation generate unit 202 generate the new explanation S` with
Increment size △ Ts of the initial solution state S under evaluation function；The evaluation function is the energy storage state for solving corresponding each energy storage point
Variance；Wherein △ T=C (S`)-C (S), C (S) are the evaluation function；
The evaluation unit 203 is used to whether be more than the current solution of 0 update according to the increment size △ T；As the △ T <
When 0, receive the new explanation S` as current solution；As the △ T >=0, with probability e-(ΔT/T)Receive the new explanation S` as working as
Preceding solution；
First judging unit 204 described in first judging unit 204 is for judging whether to meet end condition；If satisfied, then
Output size of the current solution as corresponding each energy storage point of output at this time；If not satisfied, then to the state set unit 201
Revision directive is sent, the state set unit 201 is made to be modified to Current Temperatures coefficient according to preset rules；
Further, the end condition of first judging unit 204 is that C (S`) is less than preset termination threshold value；
Further, the system also includes second judgment units；
Each value that the state set unit 201 is used to be arranged temperature coefficient carries out L iteration in calculating process；
The second judgment unit 205 judges whether the iterations of Current Temperatures coefficient reach L times；When not up to L times
When, the second judgment unit 205 sends work order for thinking that the new explanation generates unit 202, carries out next iteration；When
When reaching L times, then revision directive is sent to the state set unit 201, make the state set unit 201 according to default rule
Then Current Temperatures coefficient is modified.
In the instructions provided here, numerous specific details are set forth.It is to be appreciated, however, that the implementation of the disclosure
Example can be put into practice without these specific details.In some instances, well known method, structure is not been shown in detail
And technology, so as not to obscure the understanding of this description.
Those skilled in the art, which are appreciated that, to carry out adaptively the module in the equipment in embodiment
Change and they are arranged in the one or more equipment different from the embodiment.It can be the module or list in embodiment
Member or component be combined into a module or unit or component, and can be divided into addition multiple submodule or subelement or
Sub-component.Other than such feature and/or at least some of process or unit exclude each other, it may be used any
Combination is disclosed to all features disclosed in this specification (including adjoint claim, abstract and attached drawing) and so to appoint
Where all processes or unit of method or equipment are combined.Unless expressly stated otherwise, this specification (including adjoint power
Profit requires, abstract and attached drawing) disclosed in each feature can be by providing the alternative features of identical, equivalent or similar purpose come generation
It replaces.Involved in this specification to the step of number be only used for distinguishing each step, and time being not limited between each step
Or the relationship of logic, restriction unless the context clearly, otherwise the relationship between each step includes various possible situations.
In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments
In included certain features rather than other feature, but the combination of the feature of different embodiments means to be in the disclosure
Within the scope of and form different embodiments.For example, embodiment claimed in detail in the claims is one of arbitrary
It mode can use in any combination.
The all parts embodiment of the disclosure can be with hardware realization, or to run on one or more processors
Software module realize, or realized with combination thereof.The disclosure is also implemented as executing side as described herein
Some or all equipment or system program (for example, computer program and computer program product) of method.It is such
Realize that the program of the disclosure can may be stored on the computer-readable medium, or can be with the shape of one or more signal
Formula.Such signal can be downloaded from internet website and be obtained, and either be provided on carrier signal or with any other shape
Formula provides.
The disclosure is limited it should be noted that above-described embodiment illustrates rather than the disclosure, and ability
Field technique personnel can design alternative embodiment without departing from the scope of the appended claims.Word "comprising" is not arranged
Except there are element or steps not listed in the claims.Word "a" or "an" before element does not exclude the presence of more
A such element.The disclosure can be by means of including the hardware of several different elements and by means of properly programmed calculating
Machine is realized.If in the unit claim for listing dry systems, several in these systems can be by same
Hardware branch embodies.
The above is only the specific implementation mode of the disclosure, it is noted that for the ordinary skill people of this field
Member for, under the premise of not departing from disclosure spirit, can make several improvements, change and deform, these improve, modification,
It is regarded as falling within the scope of protection of this application with deformation.
Claims (13)
1. a kind of multi-drop arrangement energy storage polymerizing energy management method, the method includes：
Step 1, initial solution S, initial temperature coefficient T are set according to each energy storage original state0；The initial solution S is that initial time is each
The SOC energy storage states of energy storage point；The initial temperature coefficient T0For the initial value of temperature coefficient；
Step 2, new explanation S` is generated according to initial solution state and generation function；The generation function includes according to each energy storage point parameter
Determining active balance function and reactive balance function；
Step 3, confirm the new explanation S` and increment size △ Ts of the initial solution state S under evaluation function；The evaluation function is solution
The variance of the energy storage state of corresponding each energy storage point；Wherein △ T=C (S`)-C (S), C (S) are the evaluation function；
Step 4, whether the current solution of 0 update is more than according to the increment size △ T；As the △ T < 0, receive the new explanation S
` is as current solution；As the △ T >=0, with probability e-(ΔT/T)Receive the new explanation S` as current solution；
Step 5, judge whether to meet end condition；
If satisfied, then exporting output size of the current solution as corresponding each energy storage point at this time；
If not satisfied, be then modified the temperature coefficient under Current Temperatures coefficient by preset rules, and return to described
Step 2 starts to re-execute.
2. according to the method described in claim 1, it is characterized in that：Each value of the temperature coefficient in calculating process into
L iteration of row；The generation function that the iteration each time is determined all in accordance with current each energy storage point parameter generates new explanation S`.
3. according to the method described in claim 2, it is characterized in that：After the iteration each time generates new explanation S`, the method
Further include：
It executes after completing the step 3 and step 4, judges whether current solution at this time meets end condition, if satisfied, then defeated
Go out output size of the current solution as corresponding each energy storage point at this time；
If not satisfied, then judging whether the iterations of Current Temperatures coefficient reach L times；
When not up to L times, next iteration is carried out；
When reaching L times, the temperature coefficient is modified by preset rules under Current Temperatures coefficient, and is returned to described
Step 2 starts to re-execute.
4. according to the method described in claim 2, it is characterized in that：After the iteration each time generates new explanation S`, the method
Further include：
It executes after completing the step 3 and step 4, judges whether the iterations of temperature coefficient at this time have reached L times；
If at not up to L times, carrying out next iteration；
If reach L times, judge whether current solution meets end condition；
If satisfied, then exporting output size of the current solution as corresponding each energy storage point at this time；
If not satisfied, be then modified the temperature coefficient under Current Temperatures coefficient by preset rules, and return to described
Step 2 starts to re-execute.
5. according to the method described in claim 1, it is characterized in that：It is described to be repaiied under Current Temperatures coefficient by preset rules
Just include：
It is added on the basis of Current Temperatures using increment size △ T as correction factor, obtains new Current Temperatures.
6. according to the method described in claim 1, it is characterized in that：It is described to be repaiied under Current Temperatures coefficient by preset rules
Just include：
It is multiplied with Current Temperatures using default correction factor α, obtains new Current Temperatures；The correction factor α is constant,
And 0.9 < α < 1.
7. according to the method described in claim 1, it is characterized in that：The end condition is that C (S`) is less than preset termination threshold value.
8. according to the method described in claim 1, it is characterized in that：The active balance letter determined according to each energy storage point parameter
Number and reactive balance function are respectively：
Wherein, PGFor generator active power；PDFor load active power；QGFor generator reactive power；QDFor reactive load work(
Rate；V is the admittance that voltage, G and the B of corresponding energy storage point are corresponding energy storage point；θ is the generator rotor angle of corresponding energy storage point.
9. a kind of multi-drop arrangement energy storage polymerizing energy manages system, the system comprises：
State set unit, the state set unit are used to set initial solution S, initial temperature system according to each energy storage original state
Number T0；The initial solution S is the SOC energy storage states of each energy storage point of initial time；The initial temperature coefficient T0For temperature coefficient
Initial value；
New explanation generates unit, and the new explanation generates unit and is used for according to initial solution state and generates function generation new explanation S`；It is described
It includes the active balance function determined according to each energy storage point parameter and reactive balance function to generate function；
Evaluation unit, the evaluation unit are used to confirm that new explanation to generate the new explanation S` and initial solution state S that unit generates and exists
Increment size △ T under evaluation function；The evaluation function is the variance for the energy storage state for solving corresponding each energy storage point；Wherein △ T
=C (S`)-C (S), C (S) are the evaluation function；
The evaluation unit is used to whether be more than the current solution of 0 update according to the increment size △ T；As the △ T < 0, connect
By the new explanation S` as current solution；As the △ T >=0, with probability e-(ΔT/T)Receive the new explanation S` as current solution；
First judging unit, first judging unit is for judging whether to meet end condition；If satisfied, then exporting at this time
Output size of the current solution as corresponding each energy storage point；If not satisfied, revision directive then is sent to the state set unit,
The state set unit is set to be modified to Current Temperatures coefficient according to preset rules.
10. system according to claim 9, it is characterised in that：The system also includes second judgment units；
Each value that the state set unit is used to be arranged temperature coefficient carries out L iteration in calculating process；
The second judgment unit judges whether the iterations of Current Temperatures coefficient reach L times；It is described when not up to L times
Second judgment unit sends work order for thinking that the new explanation generates unit, carries out next iteration；When reaching L times, then
To the state set unit send revision directive, make the state set unit according to preset rules to Current Temperatures coefficient into
Row is corrected.
11. system according to claim 9, it is characterised in that：The state set unit is by preset rules in current temperature
It refers to being added on the basis of Current Temperatures using increment size △ T as correction factor to be modified under degree coefficient, is obtained new
Current Temperatures.
12. system according to claim 9, it is characterised in that：The state set unit is by preset rules in current temperature
It refers to being multiplied with Current Temperatures using default correction factor α to be modified under degree coefficient, obtains new Current Temperatures；It is described
Correction factor α is constant, and 0.9 < α < 1.
13. system according to claim 9, it is characterised in that：The end condition of first judging unit is that C (S`) is small
In preset termination threshold value.
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