CN105186495A - Power grid on-line data based running strategy optimization method for unified power flow controller - Google Patents
Power grid on-line data based running strategy optimization method for unified power flow controller Download PDFInfo
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Abstract
The invention discloses a power grid on-line data based running strategy optimization method for a unified power flow controller. The method comprises the following steps of continuously updating a control target and a constraint condition of the unified power flow controller (UPFC) according to the actual running condition of a power grid; building an optimal power flow calculation model according to the control target and the constraint condition of the UPFC; carrying out solution by using an optimization algorithm to obtain a control strategy of the UPFC. The method can be used for real-time running control of the power grid, the characteristic of high control ability of UPFC is fully utilized, the device utilization rate is improved, and the power grid is ensured to safely and stably run. According to the actual running condition of the power grid, the UPFC running strategy optimization model is built and solution is carried out, an optimal running mode of the UPFC is made in a rolling way, and conditions are created for fully utilizing powerful voltage support of the UPFC, circuit power flow control ability and the like.
Description
Technical field
The present invention relates to a kind of power system computation method, particularly a kind of THE UPFC optimization of operation strategy method based on powernet data, belong to power system dispatching and run field.
Background technology
The safe and economical operation of modern power systems is faced with new challenge, operation of power networks needs new control measures, to meet the needs that power system safety and stability runs, wherein how carrying out effective regulation and control to the trend of electrical network is one of subject matter of current urgent need solution.
For a long time, the research that controls for the Optimal Power Flow of electric power system of people is a lot.But the development and apply of power electronic technology is creating tremendous influence to traditional electric power system in the control of Optimal Power Flow.Traditional power grid control many employings control panel carries out mechanical type control thus causes controlling slowly, being interrupted and coarse situation, and this situation has successfully been reversed in the utilization of FACTS (flexible AC transmitting system (FACTS): FlexibleAlternativeCurrentTransmissionSystems) technology, realize level and smooth to system mode, rapid and real-time adjustment.This regulative mode can break through the restriction of transmission of electric energy margin of safety in the past, realizes optimal control, and the safe and stable operation of whole system can be made more secure while raising system transmission of electric energy ability to the trend power of distribution network.On the other hand, developing rapidly of high-power electric and electronic technology, also continuation can promote the application of FACTS device in electric power system, also must consider that FACST device is on the control of system and impact in the actual motion of electric power system from now on.Because Optimal Power Flow controls to be one of of paramount importance aspect in FACTS application, so study a set of reliable, effectively and the Optimal Power Flow control method taking into account FACST device of advanced person just seems particularly important.
Therefore, the electric power networks Optimal Power Flow of research containing FACTS controller controls to have important theory value and practical significance, and is critical and urgent.Wherein THE UPFC is as the representative and the most complicated a kind of compensator of most in FACTS controller, and it can, simultaneously for transmission line provides series and parallel connections to compensate, also be the FACTS device that versatility is best up to now.Thus study the optimal method that UPFC runs control strategy, the flexibility run in electrical network for raising UPFC and reliability have positive meaning.
THE UPFC, as current the most advanced, FACTS device that control ability is the strongest, is not also applied in the actual electric network of China so far.THE UPFC can't effectively be applied with electrical network, lacks the safe and stable operation of THE UPFC in actual electric network and ensures, can not play the control abilities such as the trend of THE UPFC, voltage.
Summary of the invention
The object of the invention is to propose a kind of THE UPFC optimization of operation strategy method based on powernet data, according to the ruuning situation of actual electric network, select the control objectives of UPFC, determine corresponding constraints simultaneously; Set up the computation model of optimal load flow according to the control objectives of UPFC and constraints, after adopting optimized algorithm to solve, obtain the control strategy of UPFC.The real time execution that this method can be used for electrical network controls, and makes full use of the feature that UPFC control ability is strong, improves the utilance of device, ensure that power network safety operation.
For reaching above object, the present invention realizes by the following technical solutions.
The technical solution used in the present invention is:
Based on the THE UPFC optimization of operation strategy method of powernet data, comprise the following steps:
(1) the grid simulation calculated data after state estimation is obtained based on electrical network Real-Time Scheduling operational system;
(2) according to described grid simulation calculated data, operation of power networks state is classified;
(3) dissimilar according to described operation of power networks state, selects the control objectives of THE UPFC (UPFC);
(4) according to the difference of THE UPFC (UPFC) control objectives, basic constraint condition and dynamic constrained condition is selected;
(5) based on grid simulation calculated data and operation of power networks state, by UPFC control objectives and constraints selection algorithm, determine that control objectives and the constraints of THE UPFC UPFC set up optimal load flow model respectively, and adopt Mathematics Optimization Method to solve the optimized operation strategy of rear acquisition UPFC.
More preferably, operation of power networks state classification described in step (2) is classified according to according to operation of power networks Problems existing, according to the order of severity of problem from heavy to gently operation of power networks state being divided into successively: circuit overload, circuit N-1 transship, node voltage is out-of-limit and normal operating condition.
More preferably, the control objectives of the THE UPFC (UPFC) described in step (3) comprising: eliminate circuit overload, eliminate circuit N-1 overload, elimination node voltage is out-of-limit and grid net loss is minimum.
More preferably, the basic constraint condition described in step (4) is the constraints that must consider, dynamic constrained condition is carry out according to the control objectives of THE UPFC (UPFC) constraints determined.Described basic constraint condition comprises THE UPFC (UPFC) series side and gains merit and the bound of reactive power, and gain merit in THE UPFC (UPFC) side in parallel and the bound of reactive power, power plant are meritorious and idle exerting oneself retrains up and down; Described dynamic constrained condition comprises node voltage bound, circuit active power bound, circuit N-1 retrain.
More preferably, step (5) specifically comprises the following steps:
Step0: simulation calculation is carried out to operation of power networks data;
Step1: judge whether electrical network exists Line Flow overload, if there is Line Flow overload, turn step2, otherwise, turn step3;
Step2:UPFC control objectives is for eliminating circuit overload, and constraints based on constraints, turns step8;
Step3: judge whether electrical network exists circuit N-1 and transship, and transships, turn step4 if there is circuit N-1, otherwise, turn step5;
Step4:UPFC control objectives is for eliminating circuit N-1 overload, and constraints, except basic constraint condition, comprises the constraint of circuit active power bound, turns step8;
Step5: judge whether electrical network exists node voltage out-of-limit, if it is out-of-limit to there is node voltage, turn step6, otherwise, turn step7;
Step6:UPFC control objectives is out-of-limit for eliminating node voltage, and constraints, except basic constraint condition, also comprises the constraint of circuit active power bound and circuit N-1 overload constraint, turns step8;
Step7:UPFC control objectives is that grid net loss is minimum, and constraints, except basic constraint condition, also comprises the constraint of circuit active power bound, circuit N-1 overload constraint and the constraint of node voltage bound, turns step8;
Step8: set up optimal load flow computation model according to UPFC control objectives and constraints, after adopting optimized algorithm to solve, exports the optimal control policy of UPFC.
Namely the UPFC control objectives described in step (5) and constraints selection algorithm specifically comprise step step0 ~ step7.
Compared with prior art, beneficial effect of the present invention comprises:
The present invention proposes a kind of THE UPFC optimization of operation strategy method based on operation of power networks data, according to the ruuning situation of actual electric network, selects the control objectives of UPFC, determines corresponding constraints simultaneously; Set up the computation model of optimal load flow according to the control objectives of UPFC and constraints, after adopting optimized algorithm to solve, obtain the control strategy of UPFC.The real time execution that this method can be used for electrical network controls, make full use of the feature that UPFC control ability is strong, improve the utilance of device, ensure that power network safety operation, ensure electrical network continuous reliability of operation, make full use of the powerful control ability of UPFC and regulating power flexibly simultaneously;
The present invention considers in electrical network actual motion, Line Flow, node voltage all constantly change, ensure the primary control objectives also corresponding difference of power network safety operation, the present invention is according to electrical network practical operation situation, make full use of the powerful Line Flow control ability of UPFC and voltage regulation capability, the control objectives of real-time adjustment UPFC, ensures that electrical network continues to be in optimized operation state, has good economy;
The present invention ensures the safe and stable operation of THE UPFC in actual electric network, and farthest plays the control ability such as trend, voltage of THE UPFC, and for future, the practical engineering application of THE UPFC creates conditions.
Accompanying drawing explanation
Fig. 1 is the THE UPFC optimization of operation strategy method flow diagram based on operation of power networks data of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the present invention is further described.
As shown in Figure 1, a kind of THE UPFC optimization of operation strategy method based on powernet data, comprises the following steps:
(1) the grid simulation calculated data after state estimation is obtained based on electrical network Real-Time Scheduling operational system;
(2) according to described grid simulation calculated data, operation of power networks state is classified, operation of power networks state classification is classified according to according to operation of power networks Problems existing, according to the order of severity of problem from heavy to gently operation of power networks state being divided into successively: circuit overload, circuit N-1 transship, node voltage is out-of-limit and normal operating condition;
(3) dissimilar according to described operation of power networks state, select the control objectives of THE UPFC (UPFC), the control objectives of described THE UPFC (UPFC) comprising: eliminate circuit overload, eliminate circuit N-1 overload, elimination node voltage is out-of-limit and grid net loss is minimum;
(4) according to the difference of THE UPFC (UPFC) control objectives, basic constraint condition and dynamic constrained condition is selected; Basic constraint condition is the constraints that must consider, dynamic constrained condition is carry out according to the control objectives of THE UPFC (UPFC) constraints determined.Basic constraint condition comprises THE UPFC (UPFC) series side and gains merit and the bound of reactive power, and gain merit in THE UPFC (UPFC) side in parallel and the bound of reactive power, power plant are meritorious and idle exerting oneself retrains up and down; Described dynamic constrained condition comprises node voltage bound, circuit active power bound, circuit N-1 retrain;
(5) based on grid simulation calculated data and operation of power networks state, by UPFC control objectives and constraints selection algorithm, determine that control objectives and the constraints of THE UPFC UPFC set up optimal load flow model respectively, and adopt Mathematics Optimization Method to solve the optimized operation strategy of rear acquisition UPFC;
Step (5) specifically comprises the following steps:
Step0: simulation calculation is carried out to operation of power networks data;
Step1: judge whether electrical network exists Line Flow overload, if there is Line Flow overload, turn step2, otherwise, turn step3;
Step2:UPFC control objectives is for eliminating circuit overload, and constraints based on constraints, turns step8;
Step3: judge whether electrical network exists circuit N-1 and transship, and transships, turn step4 if there is circuit N-1, otherwise, turn step5;
Step4:UPFC control objectives is for eliminating circuit N-1 overload, and constraints, except basic constraint condition, comprises the constraint of circuit active power bound, turns step8;
Step5: judge whether electrical network exists node voltage out-of-limit, if it is out-of-limit to there is node voltage, turn step6, otherwise, turn step7;
Step6:UPFC control objectives is out-of-limit for eliminating node voltage, and constraints, except basic constraint condition, also comprises the constraint of circuit active power bound and circuit N-1 overload constraint, turns step8;
Step7:UPFC control objectives is that grid net loss is minimum, and constraints, except basic constraint condition, also comprises the constraint of circuit active power bound, circuit N-1 overload constraint and the constraint of node voltage bound, turns step8;
Step8: set up optimal load flow computation model according to UPFC control objectives and constraints, after adopting optimized algorithm to solve, exports the optimal control policy of UPFC.
The above is only the preferred embodiment of the present invention; be noted that for those skilled in the art; under the premise without departing from the principles of the invention, can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (5)
1., based on the THE UPFC optimization of operation strategy method of powernet data, it is characterized in that, comprise the following steps:
(1) the grid simulation calculated data after state estimation is obtained based on electrical network Real-Time Scheduling operational system;
(2) according to described grid simulation calculated data, operation of power networks state is classified;
(3) dissimilar according to described operation of power networks state, selects the control objectives of THE UPFC;
(4) according to the difference of THE UPFC control objectives, basic constraint condition and dynamic constrained condition is selected;
(5) based on grid simulation calculated data and operation of power networks state, by control objectives and the constraints selection algorithm of THE UPFC, determine that control objectives and the constraints of THE UPFC set up optimal load flow model respectively, and adopt Mathematics Optimization Method to solve the optimized operation strategy of rear acquisition THE UPFC.
2. the THE UPFC optimization of operation strategy method based on powernet data according to claim 1, it is characterized in that, operation of power networks state classification described in step (2) is classified according to according to operation of power networks Problems existing, according to the order of severity of problem from heavy to gently operation of power networks state being divided into successively: circuit overload, circuit N-1 transship, node voltage is out-of-limit and normal operating condition.
3. the THE UPFC optimization of operation strategy method based on powernet data according to claim 1, it is characterized in that, the control objectives of the THE UPFC described in step (3) comprises: eliminate circuit overload, eliminate circuit N-1 overload, elimination node voltage is out-of-limit and grid net loss is minimum.
4. the THE UPFC optimization of operation strategy method based on powernet data according to claim 1, it is characterized in that, basic constraint condition described in step (4) is the constraints that must consider, dynamic constrained condition is carry out according to the control objectives of THE UPFC the constraints determined;
Described basic constraint condition comprises THE UPFC series side and gains merit and the bound of reactive power, and gain merit in THE UPFC side in parallel and the bound of reactive power, power plant are meritorious and idle exerting oneself retrains up and down; Described dynamic constrained condition comprises node voltage bound, circuit active power bound, circuit N-1 retrain.
5. the THE UPFC optimization of operation strategy method based on powernet data according to claim 1, it is characterized in that, described step (5) specifically comprises the following steps:
Step0: simulation calculation is carried out to operation of power networks data;
Step1: judge whether electrical network exists Line Flow overload, if there is Line Flow overload, turn step2, otherwise, turn step3;
Step2: the control objectives of THE UPFC is for eliminating circuit overload, and constraints based on constraints, turns step8;
Step3: judge whether electrical network exists circuit N-1 and transship, and transships, turn step4 if there is circuit N-1, otherwise, turn step5;
Step4: the control objectives of THE UPFC is for eliminating circuit N-1 overload, and constraints, except basic constraint condition, comprises the constraint of circuit active power bound, turns step8;
Step5: judge whether electrical network exists node voltage out-of-limit, if it is out-of-limit to there is node voltage, turn step6, otherwise, turn step7;
Step6: the control objectives of THE UPFC is out-of-limit for eliminating node voltage, constraints, except basic constraint condition, also comprises the constraint of circuit active power bound and circuit N-1 overload constraint, turns step8;
Step7: the control objectives of THE UPFC is that grid net loss is minimum, constraints, except basic constraint condition, also comprises the constraint of circuit active power bound, circuit N-1 overload constraint and the constraint of node voltage bound, turns step8;
Step8: set up optimal load flow computation model according to the control objectives of THE UPFC and constraints, after adopting optimized algorithm to solve, exports the optimal control policy of THE UPFC.
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| CN106684857A (en) * | 2016-09-05 | 2017-05-17 | 国网江苏省电力公司电力科学研究院 | Linear optimal power flow model containing unified power flow controller |
| CN111262856A (en) * | 2020-01-15 | 2020-06-09 | 国网陕西省电力公司电力科学研究院 | Mobile target defense response method guided by economic and safety requirements |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106684857A (en) * | 2016-09-05 | 2017-05-17 | 国网江苏省电力公司电力科学研究院 | Linear optimal power flow model containing unified power flow controller |
| CN106684857B (en) * | 2016-09-05 | 2018-02-09 | 国网江苏省电力公司电力科学研究院 | A kind of linearisation optimal load flow model containing THE UPFC |
| CN106208083A (en) * | 2016-10-09 | 2016-12-07 | 国网河北省电力公司 | A kind of method and device obtaining THE UPFC configuration |
| CN106208083B (en) * | 2016-10-09 | 2018-09-07 | 国网河北省电力公司 | A kind of method and device obtaining THE UPFC configuration |
| CN111262856A (en) * | 2020-01-15 | 2020-06-09 | 国网陕西省电力公司电力科学研究院 | Mobile target defense response method guided by economic and safety requirements |
| CN111262856B (en) * | 2020-01-15 | 2022-03-01 | 国网陕西省电力公司电力科学研究院 | Mobile target defense response method guided by economic and safety requirements |
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