CN109242199A - A kind of active load sacurity dispatching method that can be used under the lotus mutual environment of source - Google Patents
A kind of active load sacurity dispatching method that can be used under the lotus mutual environment of source Download PDFInfo
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Abstract
The active load sacurity dispatching method that can be used under the lotus mutual environment of source of the invention includes the following steps: that step 1) system information initializes；Step 2 is based on hypermatrix-hyperelliptic theory and Latin Hypercube Sampling method carries out power grid security probabilistic assessment；Step 3) obtains the scheduling scheme of active load based on the optimisation technique of genetic algorithm.The utility model has the advantages that, in combination with optimisation technique, building is suitable for the active load sacurity dispatching strategy under source lotus mutual environment in Latin Hypercube Sampling method and based on hypermatrix-hyperelliptic theory foundation electric network synthetic index of security assessment as core.
Description
Technical field
The present invention relates to electric power system dispatching technical field more particularly to a kind of actives that can be used under the lotus mutual environment of source
Load sacurity dispatching method.
Background technique
Due to meeting the demand of socio-economic development, smart grid is gradually promoted and is built in the world.
With the intelligent Process of power grid, power consumer has been not only traditional rigid load, on the contrary, they can pass through tactic
Scheduling scheme and generator unit carry out Collaboration.Active load, such as electric car, intelligent appliance, exactly a kind of in this way tool
There is the load of flexible nature.By reasonable effective demand response design scheme, active load can reduce power consumption cost,
Achieve the purpose that peak load shifting simultaneously.In addition, active load is in the utilization rate that can be also used for being promoted renewable energy.
The current scheduling research for active load under mutual environment is concentrated mainly on economy level, however active load
Running behavior it is uncertain equally can the safety level to power grid bring very important influence so that the fortune of electric system
Row state is more complicated.Under the continuous access of current renewable energy, the influence of the safe level of active Load on Electric Power Grid is more
It is prominent.Therefore, the active load dispatching policy involved in the present invention lays particular emphasis on the safety for improving operation of power networks.The scheduling strategy
In contain meter and the probabilistic security evaluation of electric system.Traditional security evaluation generallys use deterministic assessment side
Method, such as numerical analysis method and Sensitivity Analysis Method, but there are obvious drawbacks when handling stochastic behaviour for such method, to can give
The management and running of power grid bring deviation.In contrast, probabilistic method processing when containing uncertain problem have much effect.It should
Class method is commonly divided into two class of analytic method and simulation.By preferable theoretical basis, analytic method calculating effect with higher
Rate, then its electric system for being only applicable to small-scale, with the increase of power grid scale, the calculating error of such method can be bright
It is aobvious to increase.It is not limited by power grid scale then using Monte Carlo method as the computational accuracy of the simulation of representative, but consumed by it
It is huge for calculating the time, therefore this method is equally not applicable in the biggish situation of system scale.Change from Monte Carlo method
Into Latin Hypercube Sampling method due to can guarantee in less sampling scale sampled value covering input stochastic variable it is whole
A distributed area, computational efficiency are greatly improved, while compared with analytic method, and this method may include more output variables
Information, to reflect the random of active load and and interactive feature.
Summary of the invention
Present invention aims to overcome that the deficiency of existing technology, provides a kind of active that can be used under the lotus mutual environment of source
Load sacurity dispatching method and system, had not only considered the randomness of renewable energy power output, but also can consider active load simultaneously
The harmony of response is specifically realized by the following technical scheme:
The active load sacurity dispatching method that can be used under the lotus mutual environment of source, includes the following steps:
The initialization of step 1) system information；
Step 2 is based on hypermatrix-hyperelliptic theory and Latin Hypercube Sampling method carries out power grid security probabilistic assessment；
Step 3) obtains the scheduling scheme of active load based on the optimisation technique of genetic algorithm.
The active load sacurity dispatching method that can be used under the lotus mutual environment of source it is further design be, the step
It is rapid 1) to include the following steps:
Step 1-1) carry out system topology information acquisition, master data of the power grid in even running is classified and is adopted
Collection；
Step 1-2) carry out active load and renewable energy power output randomness modeling.
The active load sacurity dispatching method that can be used under the lotus mutual environment of source it is further design be, step 1-
1) system topology information described in is made of node data, track data and device distribution data.
The active load sacurity dispatching method that can be used under the lotus mutual environment of source it is further design be, the step
It is rapid 2) to include the following steps:
Integral safety evaluation index of the power grid under stable operation 2-1) is established according to hypermatrix-hyperelliptic theory；
2-2) electric network synthetic index of security assessment is extended using Latin Hypercube Sampling method, and then completes the general of power grid
Forthright security evaluation.
The mutual rotating ring of source lotus can be used for using the active load sacurity dispatching method that can be used under the lotus mutual environment of source
Active load sacurity dispatching method under border, including
Probabilistic load flow module: just according to each active load responding value obtained by optimisation technique and power grid of input
Topology information under normal operating status, exports node voltage and Line Flow information after probabilistic load flow；
System Integral safety evaluation module: according to the node voltage and Line Flow information；Output system Integral safety evaluation
Index value afterwards；
Optimize computing module: the optimization aim constituted according to the index value after system Integral safety evaluation, output is after optimization
Obtained active load responding value.
The further design of the active load sacurity dispatching method that can be used under the lotus mutual environment of source is that optimization is counted
The process flow for calculating module is as follows:
Step a) initializes active load responding value；
Step b) generates initial population；
Step c) successively selects the population, intersects and mutation operation；
Step d) forms new active load responding value, and is brought into probabilistic load flow module for updating Latin hypercube
The matrix of sampling；
Step e) optimization target values as obtained in system Integral safety evaluation module are transferred to follow-on operation in genetic algorithm；
Step f) above-mentioned steps circulation carries out, until genetic iteration terminates；
Step g) exports final active load responding value.
The further design of the active load sacurity dispatching method that can be used under the lotus mutual environment of source is, described general
The process flow of rate Load flow calculation module is as follows:
Step A) the initial primary topology information that obtains power grid, probability characterization, and root are carried out to the active power output of renewable energy
System Integral safety evaluation index is established according to hypermatrix-hyperelliptic theory；
Step B) the sampling scale of Latin Hypercube Sampling method is set；
Step C) setting stochastic variable number；
Step D) cut-off a route in rack every time in order；
Step E) form Latin Hypercube Sampling matrix；
Step F) according to the active load responding value update Latin Hypercube Sampling matrix after optimization；
Step G) computing system existsNProbabilistic Load Flow under -1 operating status, and store calculate every time after obtained node voltage and
Line Flow data.
The further design of the active load sacurity dispatching method that can be used under the lotus mutual environment of source is, described excellent
The process flow for changing computing module is as follows:
Step I) according to node voltage and Line Flow data computing system Integral safety evaluation index value；
Step II) it system Integral safety evaluation index value is brought into the optimization aim equation of genetic algorithm carries out genetic algorithm
Corresponding calculating.
Advantages of the present invention is as follows:
The active load sacurity dispatching method that can be used under the lotus mutual environment of source of the invention in Latin Hypercube Sampling method and
It is core based on the electric network synthetic index of security assessment that hypermatrix-hyperelliptic theory is established, in combination with optimisation technique, building is suitable
For the active load sacurity dispatching strategy under the lotus mutual environment of source.
Detailed description of the invention
Fig. 1 is the computing module schematic diagram of the sacurity dispatching strategy of main dynamic load.
Fig. 2 is the calculation flow chart of the active load sacurity dispatching method that can be used under the lotus mutual environment of source of the invention.
Specific embodiment
Such as Fig. 1, the active load sacurity dispatching method that can be used under the lotus mutual environment of source of the present embodiment, including walk as follows
It is rapid:
The initialization of step 1) system information；
Step 2 is based on hypermatrix-hyperelliptic theory and Latin Hypercube Sampling method carries out power grid security probabilistic assessment；
Step 3) obtains the scheduling scheme of active load based on the optimisation technique of genetic algorithm.
Further, step 1) includes the following steps:
Step 1-1) carry out system topology information acquisition, master data of the power grid in even running is classified and is adopted
Collection；
Step 1-2) carry out active load and renewable energy power output randomness modeling.
Step 1-1) described in system topology information be made of node data, track data and device distribution data.
Step 2 includes the following steps:
Integral safety evaluation index of the power grid under stable operation 2-1) is established according to hypermatrix-hyperelliptic theory；
2-2) electric network synthetic index of security assessment is extended using Latin Hypercube Sampling method, and then completes the general of power grid
Forthright security evaluation.
For the present embodiment according to the above-mentioned active load sacurity dispatching method that can be used under the lotus mutual environment of source, providing one kind can
For the active load sacurity dispatching method under the lotus mutual environment of source, referring to Fig. 1, including
Probabilistic load flow module: just according to each active load responding value obtained by optimisation technique and power grid of input
Topology information under normal operating status, exports node voltage and Line Flow information after probabilistic load flow；
System Integral safety evaluation module: according to the node voltage and Line Flow information；Output system Integral safety evaluation
Index value afterwards；
Optimize computing module: the optimization aim constituted according to the index value after system Integral safety evaluation, output is after optimization
Obtained active load responding value.
Such as Fig. 2, the process flow for optimizing computing module is as follows:
Step a) initializes active load responding value；
Step b) generates initial population；
Step c) successively selects the population, intersects and mutation operation；
Step d) forms new active load responding value, and is brought into probabilistic load flow module for updating Latin hypercube
The matrix of sampling；
Step e) optimization target values as obtained in system Integral safety evaluation module are transferred to follow-on operation in genetic algorithm；
Step f) above-mentioned steps circulation carries out, until genetic iteration terminates；
Step g) exports final active load responding value.
The process flow of the probabilistic load flow module of the present embodiment is as follows:
Step A) the initial primary topology information that obtains power grid, probability characterization, and root are carried out to the active power output of renewable energy
System Integral safety evaluation index is established according to hypermatrix-hyperelliptic theory；
Step B) the sampling scale of Latin Hypercube Sampling method is set；
Step C) setting stochastic variable number；
Step D) cut-off a route in rack every time in order；
Step E) form Latin Hypercube Sampling matrix；
Step F) according to the active load responding value update Latin Hypercube Sampling matrix after optimization；
Step G) computing system existsNProbabilistic Load Flow under -1 operating status, and store calculate every time after obtained node voltage and
Line Flow data.
The process flow of the optimization computing module of the present embodiment is as follows:
Step I) according to node voltage and Line Flow data computing system Integral safety evaluation index value；
Step II) it system Integral safety evaluation index value is brought into the optimization aim equation of genetic algorithm carries out genetic algorithm
Corresponding calculating.
The present invention is based on hypermatrix-hyperelliptic theories to establish corresponding evaluation index.Hypermatrix be substantially one by
The closing hyperspace that the value interval of multivariable is constituted, can reflect the position of multidimensional variable within this space by way of vector
It sets, and uses approximate method one hyperelliptic space of inscribe in hypermatrix space, it can will be in hypermatrix space with vector
The spatial position of form characterization is converted into a scalar value in hyperelliptic space.In practical application, hyperelliptic sky is being imparted
Between after the specific meaning of different zones, the position in hyperelliptic space can be located to rapidly according to the size of the scalar value
It sets, and then intuitively reflects the state of entire multidimensional variable group in practical applications, therefore the theory will can be extended to electric power
System regions construct index of security assessment.
Under the lotus environment of source, the active load dispatching policy based on safety has great reality to strong smart grid is constructed
Border directive significance.Therefore, the power grid that the present invention is established in Latin Hypercube Sampling method and based on hypermatrix-hyperelliptic theory is comprehensive
Conjunction index of security assessment is core, and in combination with optimisation technique, building is suitable for the active load safety under source lotus mutual environment
Scheduling strategy.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
It for member, can also make several improvements without departing from the principle of the present invention, these improvement also should be regarded as of the invention
Protection scope.
Claims (8)
1. a kind of active load sacurity dispatching method that can be used under the lotus mutual environment of source, it is characterised in that include the following steps:
The initialization of step 1) system information；
Step 2 is based on hypermatrix-hyperelliptic theory and Latin Hypercube Sampling method carries out power grid security probabilistic assessment；
Step 3) obtains the scheduling scheme of active load based on the optimisation technique of genetic algorithm.
2. the active load sacurity dispatching method according to claim 1 that can be used under the lotus mutual environment of source, feature exist
Include the following steps: in the step 1)
Step 1-1) carry out system topology information acquisition, master data of the power grid in even running is classified and is adopted
Collection；
Step 1-2) carry out active load and renewable energy power output randomness modeling.
3. the active load sacurity dispatching method according to claim 2 that can be used under the lotus mutual environment of source, feature exist
The system topology information described in step 1-1) is made of node data, track data and device distribution data.
4. the active load sacurity dispatching method according to claim 2 that can be used under the lotus mutual environment of source, feature exist
Include the following steps: in the step 2
Integral safety evaluation index of the power grid under stable operation 2-1) is established according to hypermatrix-hyperelliptic theory；
2-2) electric network synthetic index of security assessment is extended using Latin Hypercube Sampling method, and then completes the general of power grid
Forthright security evaluation.
5. using the active load sacurity dispatching side according to any one of claims 1-4 that can be used under the lotus mutual environment of source
Method, it is characterised in that including
Probabilistic load flow module: just according to each active load responding value obtained by optimisation technique and power grid of input
Topology information under normal operating status, exports node voltage and Line Flow information after probabilistic load flow；
System Integral safety evaluation module: according to the node voltage and Line Flow information, output system Integral safety evaluation
Index value afterwards；
Optimize computing module: the optimization aim constituted according to the index value after system Integral safety evaluation, output is after optimization
Obtained active load responding value.
6. the active load sacurity dispatching method according to claim 5 that can be used under the lotus mutual environment of source, feature exist
It is as follows in the process flow of optimization computing module:
Step a) initializes active load responding value；
Step b) generates initial population；
Step c) successively selects the population, intersects and mutation operation；
Step d) forms new active load responding value, and is brought into probabilistic load flow module for updating Latin hypercube
The matrix of sampling；
Step e) optimization target values as obtained in system Integral safety evaluation module are transferred to follow-on operation in genetic algorithm；
Step f) above-mentioned steps circulation carries out, until genetic iteration terminates；
Step g) exports final active load responding value.
7. the active load sacurity dispatching method according to claim 5 that can be used under the lotus mutual environment of source, feature exist
It is as follows in the process flow of the probabilistic load flow module:
Step A) the initial primary topology information that obtains power grid, probability characterization, and root are carried out to the active power output of renewable energy
System Integral safety evaluation index is established according to hypermatrix-hyperelliptic theory；
Step B) the sampling scale of Latin Hypercube Sampling method is set；
Step C) setting stochastic variable number；
Step D) cut-off a route in rack every time in order；
Step E) form Latin Hypercube Sampling matrix；
Step F) according to the active load responding value update Latin Hypercube Sampling matrix after optimization；
Step G) computing system existsNProbabilistic Load Flow under -1 operating status, and store calculate every time after obtained node voltage and
Line Flow data.
8. the active load sacurity dispatching method according to claim 5 that can be used under the lotus mutual environment of source, feature exist
It is as follows in the process flow of the optimization computing module:
Step I) according to node voltage and Line Flow data computing system Integral safety evaluation index value；
Step II) it system Integral safety evaluation index value is brought into the optimization aim equation of genetic algorithm carries out genetic algorithm
Corresponding calculating.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109802394A (en) * | 2019-04-01 | 2019-05-24 | 东北大学 | A kind of probability load flow calculation method counted and distributed generation resource and electric car access |
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| CN105023192A (en) * | 2014-04-18 | 2015-11-04 | 国家电网公司 | Power system source-grid-load interaction control strategy evaluation method |
| CN108288132A (en) * | 2018-03-19 | 2018-07-17 | 云南电网有限责任公司电力科学研究院 | A kind of modeling method based on source lotus interaction electric power system dispatching |
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| HAITENG HAN ET AL: "Security-Based Actice Demand Response Strategy Considering Uncertainties in Power Systems", 《IEEE ACCESS》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109802394A (en) * | 2019-04-01 | 2019-05-24 | 东北大学 | A kind of probability load flow calculation method counted and distributed generation resource and electric car access |
| CN109802394B (en) * | 2019-04-01 | 2022-05-17 | 东北大学 | Probability load flow calculation method considering distributed power supply and electric vehicle access |
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Application publication date: 20190118 |