CN105811404A - Stable situation monitoring method for quiescent voltage of distribution network with synergic transmission and distribution - Google Patents
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
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Abstract
The invention discloses a stable situation monitoring method for quiescent voltage of a distribution network with synergic transmission and distribution. The method comprises the following steps of combining an impedance module margin index; carrying out multi-step estimation on load fluctuation of the distribution network within a future period; forecasting a track of the impedance module margin index at the stable quiescent voltage of each node of the distribution network; estimating a stable situation of the quiescent voltage of the distribution network according to a track change trend; calculating a Thevenin equivalent parameter of the node of the distribution network at an estimation state in each step by a Thevenin equivalent method; calculating to obtain the impedance module margin index of a load of the node in each step state; combining the impedance module margin indexes of the nodes in each single-step state to obtain the track of quiescent voltage margin index within an estimated time frame. By the method, a weak node at the stable voltage can be closely monitored so as to prevent voltage instability.
Description
Technical field
The present invention relates to the distribution static voltage stability situation monitoring method that a kind of transmission & distribution are collaborative.
Background technology
Intelligent network distribution is as intelligent grid inalienable part, just towards possessing distribution network shelf structure flexible, reliable, efficient, high reliability and the communication network of high security, the distributed power source access of high permeability, the high-speed simulation of distribution system and the general direction of self-healing control and overall goal development.The continuing of distributed power generation and generation of electricity by new energy is incorporated to, and intelligent distribution network presents more flexible and changeable trend so that power transmission network is day by day tight with contacting of power distribution network, and therefore transmission & distribution Cooperative Analysis is to ensure that the important means of economic power system and safe operation.
Along with the development of intelligent network distribution, distributed power source, new forms of energy access power distribution network in a large number, cause state of electric distribution network frequent fluctuation, and the moment threatens the static voltage stability of distribution.Existing pertinent literature have studied the monitoring method of power transmission network static voltage stability and the monitoring method of power distribution network static voltage stability respectively at present, but these researchs lay particular emphasis on the stable judge of system current state mostly.
But, the voltage stability index size that actually node voltage degree of stability not only obtains with current state is relevant, also relevant to the degree of voltage stability index situation trail change after disturbance, therefore need to pay close attention to the situation of node static voltage stabilization in case there is Voltage Instability.
Summary of the invention
The present invention is to solve the problems referred to above, propose the distribution static voltage stability situation monitoring method that a kind of transmission & distribution are collaborative, this method is by predicting the quiescent voltage situation track of following multistep state, the collaborative distribution static voltage stability situation of assessment transmission & distribution, the variation tendency analyzing track accurately judges voltage weak node, and the enforcement for Control Measure provides reference.
To achieve these goals, the present invention adopts the following technical scheme that
The distribution static voltage stability situation monitoring method that a kind of transmission & distribution are collaborative, comprises the following steps:
(1) assumed load modulus of impedance margin index, reflection power system current state, from the distance of limited transmission state, characterizes voltage stability margin；
(2) the Distribution Network Load Data fluctuation in following a period of time is carried out multiple single step to estimate, form multistep prediction, it was predicted that margin index track is touched in the impedance of each node static voltage stabilization of distribution；
(3) utilize Thevenin's equivalence method to calculate the Thevenin's equivalence parameter of distribution node under each step predicted state, calculate and obtain the load impedance mould margin index often walking state lower node；
(4) margin index is touched in the impedance of the node of each single step state comprehensive, it is thus achieved that the quiescent voltage margin index track of each node in prediction time horizon；
(5) quiescent voltage margin index trail change trend is analyzed, it is determined that voltage stabilization weak node.
In described step (1), concrete grammar is, define the load impedance mould margin index of each node, its value is the ratio of the load equiva lent impedance of the load equiva lent impedance of node i and the difference of Thevenin's equivalence impedance and node i, reflect the system current state distance from limited transmission state, its maximum is 1, and minima is 0.
Preferably, in described step (1), when the load impedance mould margin index of node is zero, Operation of Electric Systems is in voltage stability critical point.
In described step (2), to the multistep Distribution Network Load Data fluctuation estimated, its change is continuous process, each single step is estimated, multiple single steps are estimated composition multistep prediction.
In described step (2), concrete steps include:
(2-1) by distribution entirety equivalence it is the PQ load connect on transmission and distribution network boundary node；
(2-2) calculate the power transmission network state estimated with algorithm quicksort, then calculate power transmission network Thevenin's equivalence parameter with Thevenin's equivalence parameter identification method, accessed distribution root node, calculate distribution loss now with front pushing back with method；
(2-3) the distribution loss obtained is added with estimating Distribution Network Load Data net power, updates the PQ node power information that distribution is equivalent, regain Thevenin's equivalence parameter；
(2-4) the Thevenin's equivalence parameter of reacquisition is delivered to the root node of distribution, pushes back before recycling and calculate the state after distribution power swing with method.
In described step (2-1), the distribution loss that performance number is current operating conditions of the PQ load that node connects with estimate Distribution Network Load Data net power sum.
In described step (3), concretely comprise the following steps: calculate the Thevenin's equivalence parameter of distribution node under each step predicted state by Thevenin's equivalence method, then the load impedance mould margin index computational methods of each node are utilized, it is thus achieved that often walk the load impedance mould margin index of state lower node.
In described step (4), margin index comprehensive observing is touched in the impedance of the node of each single step state, it is thus achieved that the quiescent voltage margin index track of each node in prediction time horizon.
In described step (5), track variation tendency is carried out labor, find voltage stabilization weak spot: each single step is estimated, the load impedance mould margin index that adjacent two states obtain is done difference, load impedance under node maximum for wherein difference and predicted state is touched the minimum node of margin index and is defined as voltage stabilization weak node.Look over one's shoulder voltage stabilization weak node in case there is Voltage Instability.
The invention have the benefit that
(1) by predicting the quiescent voltage situation track of following multistep state, the collaborative distribution static voltage stability situation of assessment transmission & distribution, the variation tendency analyzing track accurately judges voltage weak node, and the enforcement for Control Measure provides reference；
(2) adopting Thevenin's equivalence method that the Static Voltage Security situation of the collaborative distribution of transmission & distribution is estimated, result of calculation is accurate, calculates process simple.
Accompanying drawing explanation
Fig. 1 be the present invention based on Thevenin's equivalence distribution Situation Awareness schematic diagram；
Fig. 2 is the IEEE9 node system topological diagram of the present invention；
Fig. 3 is node impedance mould margin index comparison diagram before and after the Load lifting of the present invention；
Fig. 4 is the different load horizontal lower node modulus of impedance margin index track schematic diagram of the present invention.
Detailed description of the invention:
Below in conjunction with accompanying drawing, the invention will be further described with embodiment.
As shown in Figure 1, Thevenin's equivalence method is used for the online evaluation that power system static voltage security is stable, the local indexes method proposed on Thevenin's equivalence basis is on-line monitoring system maximum transmitted ability and judges that system voltage stablizes one of weak node effective ways.Therefore, the present invention adopts Thevenin's equivalence method that the Static Voltage Security situation of the collaborative distribution of transmission & distribution is estimated, and first definition load impedance mould margin index μ is as follows:
In formula: | ZLi|、|Zthi| represent load equiva lent impedance and the Thevenin's equivalence impedance of node i.Modulus of impedance margin index μ reflects the system current state distance from limited transmission state, and its maximum is 1, and minima is 0.When μ obtains minima 0, system operates in voltage stability critical point, and therefore μ can reflecting voltage stability margin effectively.
When carrying out analysis node voltage stabilization situation with load impedance mould margin index, owing to each node correspondence index has different margin index tracks with the change of system mode, the easy false judgment voltage stabilization weak node of index size that to be concerned only with under current state each node corresponding, causes that the assessment to node voltage situation and practical situation have deviation.For judging Voltage Instability node accurately, also need the variation track of each node correspondence index of labor, find the node wherein faster trending towards unstability, pay close attention to its voltage situation, for taking Control Measure in time in case Voltage Instability lays the foundation.For this, combined impedance mould margin index of the present invention, by the Distribution Network Load Data fluctuation in following a period of time is carried out multistep prediction, margin index track is touched in the impedance of the prediction each node static voltage stabilization of distribution, then according to trail change trend evaluation distribution static voltage stability situation, detailed process is as follows:
(1) to the multistep Distribution Network Load Data fluctuation estimated, its change is continuous process, multiple single steps estimate and form.Each single step therein is estimated, calculates each step by following method and estimate distribution state change under situation:
A) be the PQ load connect on transmission and distribution network boundary node by distribution entirety equivalence, if the distribution loss that its performance number is current operating conditions with estimate Distribution Network Load Data net power sum.Calculate the power transmission network state estimated with algorithm quicksort, then calculate power transmission network Thevenin's equivalence parameter E' with Thevenin's equivalence parameter identification methodth、Z'th；
B) by Thevenin's equivalence parameter E'th、Z'thAccess distribution root node, as it is shown in figure 1, calculate distribution loss now with front pushing back with method；
C) b) calculated distribution loss is added with estimating Distribution Network Load Data net power, the PQ node power information equivalent for updating distribution, repeats step a) and obtain Thevenin's equivalence parameter E "th、Z″th；
D) by E "th、Z″thIt is delivered to the root node of distribution, pushes back before recycling and calculate the state after distribution power swing with method.
(2) calculate the Thevenin's equivalence parameter of distribution node under each step predicted state by Thevenin's equivalence method, then substitute into formula (1) and calculate the load impedance mould margin index obtaining often step state lower node；
The impedance of the node of each single step state is touched margin index comprehensive, the quiescent voltage margin index track of each node in prediction time horizon can be obtained.Track variation tendency is carried out labor, and defining the node that wherein trail change is very fast and index is too small is voltage stabilization weak node, and voltage stabilization weak node of looking over one's shoulder is in case Voltage Instability occurs.
Verify that institute's extracting method is for assessing the effectiveness of the collaborative distribution Static Voltage Security situation of transmission & distribution for Distribution Network Load Data fluctuation.
This simulation calculation hardware platform is THINKPADW530 work station, and CPU is i7-3740QM, dominant frequency 2.7GHz, internal memory 8G, and software platform is MATLAB and PSAT workbox.
As in figure 2 it is shown, emulate with IEEE3 machine 9 node electrical transmission network systems collocation IEEE33 node power distribution net system.System being done following change: IEEE9 node system trunk rack electric pressure is set to 121kV, with IEEE33 node distribution network systems substitute node 6 load, distribution network systems electric pressure is 35kV.
Simulate load fluctuation promoting integral load level, first integral load level is promoted to 5 times of initial level, the modulus of impedance margin index of each node before and after contrast Load lifting, as shown in Figure 3.After distribution integral load level promotes 5 times, node 1 and node 9 modulus of impedance margin index decrease, and stablize weak node for relative voltage.For assessing node 1 and the node 9 voltage stabilization situation when distribution integral load level promotes further, with 5 times of basic load levels for step-length, step up Distribution Network Load Data level, obtain the variation track of the two node impedance mould margin index.
As shown in Figure 4, under initial load level, node 1 modulus of impedance margin index is 0.9938, and node 9 modulus of impedance margin index is 0.9963, and two node impedance mould margin index, all near 1, possess higher load margin.Distribution Network Load Data level being stepped up, two node impedance mould margin index all decrease, and node 1 modulus of impedance margin index is lower than node 9, and the speed that node 1 index reduces is faster than node 9, and node 1 will prior to node 9 Voltage Instability.Therefore, the scene that distribution integral load level is promoted, the voltage support ability of node 1 counterpart node 9 is weaker, need to pay close attention to the change of its voltage security situation in case there is Voltage Instability.
By this example, demonstrate can assess in conjunction with institute of the present invention extracting method estimate multistep Distribution Network Load Data fluctuation situation under distribution Static Voltage Security stablize situation, by analyzing the geometric locus of each node impedance mould margin index, judging voltage stabilization weak node, the enforcement for voltage Control Measure provides reference frame.
The specific embodiment of the present invention is described in conjunction with accompanying drawing although above-mentioned; but not limiting the scope of the invention; one of ordinary skill in the art should be understood that; on the basis of technical scheme, those skilled in the art need not pay various amendments or deformation that creative work can make still within protection scope of the present invention.
Claims (9)
1. the distribution static voltage stability situation monitoring method that transmission & distribution are collaborative, is characterized in that: comprise the following steps:
(1) assumed load modulus of impedance margin index, reflection power system current state, from the distance of limited transmission state, characterizes voltage stability margin；
(2) the Distribution Network Load Data fluctuation in following a period of time is carried out multiple single step to estimate, form multistep prediction, it was predicted that margin index track is touched in the impedance of each node static voltage stabilization of distribution；
(3) utilize Thevenin's equivalence method to calculate the Thevenin's equivalence parameter of distribution node under each step predicted state, calculate and obtain the load impedance mould margin index often walking state lower node；
(4) margin index is touched in the impedance of the node of each single step state comprehensive, it is thus achieved that the quiescent voltage margin index track of each node in prediction time horizon；
(5) quiescent voltage margin index trail change trend is analyzed, it is determined that voltage stabilization weak node.
2. the distribution static voltage stability situation monitoring method that a kind of transmission & distribution as claimed in claim 1 are collaborative, it is characterized in that: in described step (1), concrete grammar is, define the load impedance mould margin index of each node, its value is the ratio of the load equiva lent impedance of the load equiva lent impedance of node i and the difference of Thevenin's equivalence impedance and node i, reflecting the system current state distance from limited transmission state, its maximum is 1, and minima is 0.
3. the distribution static voltage stability situation monitoring method that a kind of transmission & distribution as claimed in claim 1 are collaborative, is characterized in that: in described step (1), when the load impedance mould margin index of node is zero, Operation of Electric Systems is in voltage stability critical point.
4. the distribution static voltage stability situation monitoring method that a kind of transmission & distribution as claimed in claim 1 are collaborative, it is characterized in that: in described step (2), to the multistep Distribution Network Load Data fluctuation estimated, its change is continuous process, each single step is estimated, composition multistep prediction is estimated in multiple single steps.
5. the distribution static voltage stability situation monitoring method that a kind of transmission & distribution as claimed in claim 1 are collaborative, is characterized in that: in described step (2), concrete steps include:
(2-1) by distribution entirety equivalence it is the PQ load connect on transmission and distribution network boundary node；
(2-2) calculate the power transmission network state estimated with algorithm quicksort, then calculate power transmission network Thevenin's equivalence parameter with Thevenin's equivalence parameter identification method, accessed distribution root node, calculate distribution loss now with front pushing back with method；
(2-3) the distribution loss obtained is added with estimating Distribution Network Load Data net power, updates the PQ node power information that distribution is equivalent, regain Thevenin's equivalence parameter；
(2-4) the Thevenin's equivalence parameter of reacquisition is delivered to the root node of distribution, pushes back before recycling and calculate the state after distribution power swing with method.
6. the distribution static voltage stability situation monitoring method that a kind of transmission & distribution as claimed in claim 5 are collaborative, it is characterized in that: in described step (2-1), the distribution loss that performance number is current operating conditions of the PQ load that node connects with estimate Distribution Network Load Data net power sum.
7. the distribution static voltage stability situation monitoring method that a kind of transmission & distribution as claimed in claim 1 are collaborative, it is characterized in that: in described step (3), concretely comprise the following steps: calculate the Thevenin's equivalence parameter of distribution node under each step predicted state by Thevenin's equivalence method, then the load impedance mould margin index computational methods of each node are utilized, it is thus achieved that often walk the load impedance mould margin index of state lower node.
8. the distribution static voltage stability situation monitoring method that a kind of transmission & distribution as claimed in claim 1 are collaborative, it is characterized in that: in described step (4), margin index comprehensive observing is touched in the impedance of the node of each single step state, it is thus achieved that the quiescent voltage margin index track of each node in prediction time horizon.
9. the distribution static voltage stability situation monitoring method that a kind of transmission & distribution as claimed in claim 1 are collaborative, it is characterized in that: in described step (5), track variation tendency is carried out labor, find voltage stabilization weak spot: each single step is estimated, the load impedance mould margin index that adjacent two states obtain is done difference, load impedance under node maximum for wherein difference and predicted state is touched the minimum node of margin index and is defined as voltage stabilization weak node.Look over one's shoulder voltage stabilization weak node in case there is Voltage Instability.
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Cited By (6)
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| CN110120673A (en) * | 2019-05-09 | 2019-08-13 | 山东大学 | Distributed transmission & distribution collaboration idle work optimization method and system based on Thevenin's equivalence parameter identification |
| CN112003320A (en) * | 2020-07-31 | 2020-11-27 | 国网上海市电力公司 | Voltage stabilizing method under urban power grid hollowing trend |
| CN112260273A (en) * | 2020-10-13 | 2021-01-22 | 武汉大学 | Electric power system weak node visual identification method based on all-pure embedding method |
| CN113178891A (en) * | 2021-04-28 | 2021-07-27 | 南方电网科学研究院有限责任公司 | Situation perception control method and simulation method |
| CN113394774A (en) * | 2021-06-23 | 2021-09-14 | 湘潭大学 | Static voltage stability monitoring method based on deep neural network and impedance model margin |
| CN113690928A (en) * | 2021-07-16 | 2021-11-23 | 国电南瑞科技股份有限公司 | Method and system for improving voltage stability margin of power system containing new energy |
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| CN113394774A (en) * | 2021-06-23 | 2021-09-14 | 湘潭大学 | Static voltage stability monitoring method based on deep neural network and impedance model margin |
| CN113690928A (en) * | 2021-07-16 | 2021-11-23 | 国电南瑞科技股份有限公司 | Method and system for improving voltage stability margin of power system containing new energy |
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