CN103198189A - Power transmission grid single line diagram automatic arranging and drawing method based on particle swarm optimization - Google Patents
Power transmission grid single line diagram automatic arranging and drawing method based on particle swarm optimization Download PDFInfo
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- CN103198189A CN103198189A CN2013101164593A CN201310116459A CN103198189A CN 103198189 A CN103198189 A CN 103198189A CN 2013101164593 A CN2013101164593 A CN 2013101164593A CN 201310116459 A CN201310116459 A CN 201310116459A CN 103198189 A CN103198189 A CN 103198189A
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
Abstract
A power transmission grid single line diagram automatic arranging and drawing method based on particle swarm optimization belongs to the field of power transmission single line diagram automatic mapping of a power system. The method includes conducting unitization processing on transformer substations and lines respectively to form single particles in simulation mode, initializing position and moving speed of the transformer substation particles, evaluating current position and speed of each transformer substation particle by setting corresponding adaptation value, updating the position and the speed of the transformer substation particles according to an evaluation result and searching an optimum solution, namely optimum arrangement, after multiple iteration to finish the arrangement. After the particle swarm optimization is utilized to finish automatic arranging and drawing of power transmission grid single line diagrams. The distance between the transformer substations and power plants is proper and reasonable in the diagram, the intersection points are few in number, and the power transmission grid single line diagram can meet the requirement of an actual power grid by adjusting the corresponding adaptation checking condition to achieve automatic optimum arrangement of the power transmission grid single line diagram.
Description
Technical field
The present invention relates to power transmission network line chart autoplacement and method for drafting based on particle cluster algorithm, particularly a kind of power transmission network line chart automatic design method based on particle cluster algorithm belongs to electric power system dispatching line chart automatic mapping field.
Background technology
Particle swarm optimization algorithm is derived from the research to the flock of birds predation, proposed by Kennedy and Eberhart at first, and be a kind of general heuristic search technique.Bevy is random search food in the zone, and apart from food how far all birds all know own current location, and Sou Suo the most simple and effective strategy is exactly to search present peripheral region from the nearest bird of food so.The PSO algorithm utilizes this model to take a hint and is applied to solve optimization problem.In the PSO algorithm, the solution of each optimization problem is the position of particle in the search volume, the adaptive value that all particles have an optimised objective function to determine, particle also has velocity amplitude to determine direction and distance that they circle in the air, and population is just followed current optimal particle and searched in solution space then.
Transformer station or generating plant are abstracted into a particle, and line between the particle is described is circuit between the transformer station, as shown in Figure 1, it is arranged on the painting canvas shown in the dispatch automated system giant-screen uniformly, forms layout.
Summary of the invention
The present invention proposes power transmission network line chart autoplacement and method for drafting based on particle cluster algorithm, it is a kind of power transmission network line chart automatic design method based on particle cluster algorithm, by the simulation of the circuit between transformer station and the transformer station is become single particle, for each transformer station's particle is composed with initial position and speed, calculate each circuit intersection point sum D and circuit manhatton distance summation L, after multiply by weight factor d, l and addition respectively, obtain the initial overall situation and separate M.
For achieving the above object, technical scheme of the present invention is achieved in that
Based on power transmission network line chart autoplacement and the method for drafting of particle cluster algorithm, this method step is:
At first, with transformer station's particle being evenly distributed on the painting canvas at random, formation initial layout M at random, be some important transformer station particles and need the transformer station of particular topology or generating plant particle that starting condition is set afterwards, as the transformer station particle fixed station painting canvas center that some are important, setting needs transformer station or the generating plant particle's velocity vector of particular topology, direction and particle rapidity size, after then transformer station's particle being moved with certain speed V, it is iterated to best so far position (being the optimal adaptation degree) be called as individual preferably particle, be designated as n, all particles iterate to the particle that has the optimal adaptation degree till current then be called the overall situation preferably particle be labeled as q, the speed that particle position changes is V very
iFitness F is a target function value, and F=d * D+l * L is as the fitness value F of target function value greater than setting
0The time, namely think not reach the optimal adaptation degree.
Each particle upgrades speed and the position of oneself according to following formula.
V
i k+1?=?V
i k?+?C
1×rand()×(n
i?-?P
i k)?+?C
2×rand()×(q
i?-?P
i k)
P
i k+1?=?P
i k?+?V
i k
In the formula: P
i kAnd P
i K+1Represent that respectively i transformer station's particle is at the position coordinates of the k time iteration and k+1 iteration, C
1And C
2Be two positive constraint factors, be used for the step-length of the flight of constraint transformer station particle, a random number between the rand () expression 0～1;
Circuit between the transformer station is coupled together in twos, calculate the intersection point number summation D and the circuit manhatton distance length overall L that intersect in twos between transformer station's circuit, as shown in Figure 1, expression be at random power transmission network line chart initial layout, number of hits D is 2 among the figure, circuit length overall L is manhatton distance sum between each transformer station, and A, B transformer station manhatton distance are 1+2=3(unit).
As shown in Figure 2, for after each transformer station's particle added velocity, each transformer station's particle is moved by corresponding velocity magnitude and direction.
Move mode can be divided into following three kinds:
Mode (1): be unit with single transformer station particle;
Mode (2): will partly contact closely transformer station's particle and combine and move;
Mode (3): all transformer station's particles are mobile simultaneously.
Mode (1) is fit to edge transformer station particle, i.e. K transformer station particle shown in Fig. 1.
After edge transformer station particle moves to the optimal-adaptive degree, employing mode (2) move mode, be about to part and contact closely transformer station's particle and combine and move, can react some so truly in the geographic position and the situation of transformer station's particle that physical connection is close to.
When each transformer station all is in out of order state, namely can allow all transformer station's particles mobile simultaneously in mode (3), random optimization reaches the purpose of optimal location.
In order to reach the optimal location effect of power transmission network line chart, must consider the actual conditions in the electrical network, be that some transformer station possesses significant effect in the electrical network grid structure, therefore when adopting particle cluster algorithm to be optimized layout, need consider these transformer stations as for remarkable position such as painting canvas centers, be convenient to the management and running personnel and check and operate.Therefore, corresponding precondition need be set before carrying out particle group optimizing, important transformer station particle is placed on the transformer station center after, with its translational speed V
i kBe set to 0.
At the generating plant layout in the figure lower end, can be in conjunction with the vectorial property of the particle rapidity of particle cluster algorithm, by adjust represent this generating plant the particle rapidity direction for downward or move left and right, to satisfy the particular topology requirement of this generating plant.
Beneficial effect of the present invention: after utilizing particle swarm optimization algorithm to finish the autoplacement and drafting of power transmission network line chart, each transformer station in the figure, generating plant mutual spacing are moderate rationally, and the point of crossing is less each other, owing to adopted particle swarm optimization algorithm, therefore can make the needs of the more realistic electrical network of power transmission network line chart by adjusting corresponding fitness verification condition, realize the automatic optimal location of power transmission network line chart.
Description of drawings
Fig. 1 is initial layout M, and A, B, C, D, E, F, G, H, I, J, K all represent transformer station's particle among the figure, has circuit to connect between each transformer station's particle;
Fig. 2 has added the particle rapidity attribute on the basis of Fig. 1 for each transformer station, and arrow represents the velocity V of the K time iteration of each particle among the figure
i k(i=A, B, C, D, E, F, G, H, I, J, K) comprises velocity magnitude and direction.
Fig. 3 is process flow diagram of the present invention.
Embodiment
Further specify the books invention below in conjunction with accompanying drawing.
Fig. 1 is initial layout M, and A, B, C, D, E, F, G, H, I, J, K all represent transformer station's particle among the figure, has circuit to connect between each transformer station's particle.
Fig. 2 has added the particle rapidity attribute on the basis of Fig. 1 for each transformer station, and arrow represents the velocity V of the K time iteration of each particle among the figure
i k(i=A, B, C, D, E, F, G, H, I, J, K) comprises velocity magnitude and direction.
As shown in Figure 3, Fig. 3 is process flow diagram of the present invention.Based on power transmission network line chart autoplacement and the method for drafting of particle cluster algorithm, this method step is as follows:
1) the initial layout M(Fig. 1 that forms as shown in Figure 1 at first at random is initial layout M, and A, B, C, D, E, F, G, H, I, J, K all represent transformer station's particle among the figure, has circuit to connect between each transformer station's particle.), each transformer station that is about in the power transmission network line chart simulates the transformer station's particle that becomes among Fig. 1 equivalently, and the circuit between the transformer station adopts straight line to connect.
2) starting condition is set, transformer station important in the power transmission network grid structure is placed on the remarkable position such as painting canvas center, and its speed is set to 0, set velocity for some need the transformer station of particular topology or generating plant particle simultaneously.
3) with the mobile edge of mode (1) transformer station particle, each transformer station's particle is according to speed V
i kUpgrade the position P of oneself
i K+1=P
i k+ V
i kWith speed V
i K+1=
+ C
1* rand () * (n
i-P
i k)+C
2* rand () * (q
i-P
i k), edge transformer station particle is placed in place, prevent too much intersection point, reduce the intersection point sum.
4) with some in the geographic position or transformer station's particle of being close to of physical connection combine, move in mode (2), as two transformer station's particles of the A among Fig. 2, B, because contact closely, thereby can combine and move.
5) each transformer station's particle is carried out the fitness verification, whether calculating target function value F is less than the fitness value F that sets
0If less than, then satisfy the fitness verification, because transformer station's particle searches out the needed number of times of optimal-adaptive degree and perhaps has a lot, therefore a verification number of times upper limit X need be set when carrying out the fitness verification, after the verification number of times reaches X time, unappeasable words still, can think that so transformer station's particle fitness verification is satisfied, restart verification.
6) after the particle fitness verification of individual transformer station is satisfied, pass-through mode (1) is finely tuned movement to indivedual transformer stations, whole power transmission network line chart is carried out whole fitness verification, after still not satisfying whole fitness after N the whole verification, carry out layout again.
At the particular topology requirement of generating plant layout in the figure lower end, in conjunction with the vectorial property of the particle rapidity of particle cluster algorithm, by adjust represent this generating plant the particle rapidity direction for downward or move left and right, to satisfy its particular topology requirement.
After autoplacement of the present invention and the drafting, each transformer station in the figure, generating plant mutual spacing are moderate rationally, and the point of crossing is less each other, can make the needs of the more realistic electrical network of power transmission network line chart by adjusting corresponding fitness verification condition, realize the automatic optimal location of power transmission network line chart.
Claims (3)
1. based on power transmission network line chart autoplacement and the method for drafting of particle cluster algorithm, it is characterized in that this method step is:
1) with transformer station's particle being evenly distributed on the painting canvas at random, after then transformer station's particle being moved with speed V, it is iterated to best so far position is that the optimal adaptation degree is called as individual preferably particle, be designated as n, all particles iterate to the particle that has the optimal adaptation degree till current then be called the overall situation preferably particle be labeled as q, the speed that particle position changes is V very
iFitness F is a target function value, F=d * D+l * L, adopting total line length L and the mutual intersection point number D of circuit between transformer station, the generating plant is the fitness verification factor of particle cluster algorithm, l and d are respectively the weight factors of total line length L and the mutual number of hits of circuit, size is 0～1 decimal, the size of d and l addition is 1, regulating corresponding weight factor will make the layout effect of power transmission network line chart change thereupon, as, increase d, it is less with intersection point that layout will tend to, and increases l, layout will trend towards crowding, and the circuit length overall reduces; By continuous fitness verification, draw optimal location;
As the fitness value F of target function value greater than setting
0The time, namely think not reach the optimal adaptation degree;
Each particle upgrades speed and the position of oneself according to following formula:
V
i k+1?=?V
i k?+?C
1×rand()×(n
i?-?P
i k)?+?C
2×rand()×(q
i?-?P
i k)
P
i k+1?=?P
i k?+?V
i k
In the formula: P
i kAnd P
i K+1Represent that respectively i transformer station's particle is at the position coordinates of the k time iteration and k+1 iteration, C
1And C
2Be two positive constraint factors, be used for the step-length of the flight of constraint transformer station particle, a random number between the rand () expression 0～1;
2) circuit between the transformer station is coupled together in twos, calculate the intersection point number summation D and the circuit manhatton distance length overall L that intersect in twos between transformer station's circuit;
After each transformer station's particle has added velocity, each transformer station's particle is moved by corresponding velocity magnitude and direction;
Move mode can be divided into following three kinds:
Mode (1): be unit with single transformer station or generating plant particle;
Mode (2): will partly contact closely transformer station or generating plant particle and combine and move;
Mode (3): all transformer station's grains or generating factory are mobile simultaneously;
Mode (1) is fit to edge transformer station particle; After edge transformer station particle moved to the optimal-adaptive degree, employing mode (2) move mode was about to part and will contact closely transformer station's particle and combine and move;
When each transformer station all was in out of order state, employing mode (3) namely allowed all transformer station's particles mobile simultaneously, and random optimization reaches the purpose of optimal location.
2. power transmission network line chart autoplacement and method for drafting based on particle cluster algorithm according to claim 1 is characterized in that, important transformer station particle is placed on the transformer station center after, with its translational speed V
i kBe set to 0.
3. power transmission network line chart autoplacement and method for drafting based on particle cluster algorithm according to claim 1, it is characterized in that, at the generating plant layout in the figure lower end, vectorial property in conjunction with the particle rapidity of particle cluster algorithm, represent the particle rapidity direction of this generating plant by adjustment for downward or move left and right, to satisfy the particular topology requirement of this generating plant.
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Cited By (9)
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| CN103473615A (en) * | 2013-09-17 | 2013-12-25 | 国家电网公司 | Method and device for automatically selecting extra-high voltage alternating-current and direct-current drop points |
| CN107330563A (en) * | 2017-07-17 | 2017-11-07 | 华北电力大学 | A kind of offshore wind farm current collection combines Topology Optimization Method with transmission system |
| CN108539730A (en) * | 2017-03-02 | 2018-09-14 | 华北电力大学（保定） | Based on the active distribution network adjustment location optimization method for improving immune discrete particle cluster algorithm |
| CN109858095A (en) * | 2018-12-28 | 2019-06-07 | 杭州电子科技大学 | It is center power distribution network line chart initial layout calculation method based on fan-shaped substation |
| CN109858057A (en) * | 2017-11-30 | 2019-06-07 | 云南电网有限责任公司瑞丽供电局 | A kind of automatic generation method and system of power distribution single-line diagram |
| CN109858056A (en) * | 2017-11-30 | 2019-06-07 | 云南电网有限责任公司瑞丽供电局 | A kind of automatic generation method of power distribution single-line diagram, system and automatic amending method |
| CN111444587A (en) * | 2020-02-27 | 2020-07-24 | 国网信通亿力科技有限责任公司 | Electric power graph drawing method based on automatic drawing technology |
| CN113295910A (en) * | 2021-05-14 | 2021-08-24 | 马鞍山电力规划勘察设计院有限责任公司 | Split type clamp type current transformer and transformer substation line surveying and mapping method |
| CN116663859A (en) * | 2023-07-25 | 2023-08-29 | 傲拓科技股份有限公司 | Optimal scheduling method, system, electronic equipment and storage medium for cascade hydropower station |
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| CN103473615A (en) * | 2013-09-17 | 2013-12-25 | 国家电网公司 | Method and device for automatically selecting extra-high voltage alternating-current and direct-current drop points |
| CN103473615B (en) * | 2013-09-17 | 2016-10-26 | 国家电网公司 | A kind of extra-high voltage alternating current-direct current drop point automatic selecting method and device |
| CN108539730A (en) * | 2017-03-02 | 2018-09-14 | 华北电力大学（保定） | Based on the active distribution network adjustment location optimization method for improving immune discrete particle cluster algorithm |
| CN108539730B (en) * | 2017-03-02 | 2023-05-30 | 华北电力大学（保定） | Active power distribution network measurement position optimization method based on improved immunity discrete particle swarm optimization |
| CN107330563A (en) * | 2017-07-17 | 2017-11-07 | 华北电力大学 | A kind of offshore wind farm current collection combines Topology Optimization Method with transmission system |
| CN109858056A (en) * | 2017-11-30 | 2019-06-07 | 云南电网有限责任公司瑞丽供电局 | A kind of automatic generation method of power distribution single-line diagram, system and automatic amending method |
| CN109858057A (en) * | 2017-11-30 | 2019-06-07 | 云南电网有限责任公司瑞丽供电局 | A kind of automatic generation method and system of power distribution single-line diagram |
| CN109858056B (en) * | 2017-11-30 | 2023-07-18 | 云南电网有限责任公司瑞丽供电局 | Automatic generation method, system and automatic modification method for power distribution single line diagram |
| CN109858095A (en) * | 2018-12-28 | 2019-06-07 | 杭州电子科技大学 | It is center power distribution network line chart initial layout calculation method based on fan-shaped substation |
| CN109858095B (en) * | 2018-12-28 | 2024-02-06 | 杭州电子科技大学 | Fan-shaped substation-centered single line diagram initial layout calculation method for power distribution network |
| CN111444587A (en) * | 2020-02-27 | 2020-07-24 | 国网信通亿力科技有限责任公司 | Electric power graph drawing method based on automatic drawing technology |
| CN113295910A (en) * | 2021-05-14 | 2021-08-24 | 马鞍山电力规划勘察设计院有限责任公司 | Split type clamp type current transformer and transformer substation line surveying and mapping method |
| CN113295910B (en) * | 2021-05-14 | 2022-06-03 | 国网安徽省电力有限公司马鞍山供电公司 | Split type clamp type current transformer and transformer substation line surveying and mapping method |
| CN116663859A (en) * | 2023-07-25 | 2023-08-29 | 傲拓科技股份有限公司 | Optimal scheduling method, system, electronic equipment and storage medium for cascade hydropower station |
| CN116663859B (en) * | 2023-07-25 | 2023-10-27 | 傲拓科技股份有限公司 | Optimal scheduling method, system, electronic equipment and storage medium for cascade hydropower station |
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