CN106169773A - Intelligent distribution network power supply optimization method containing Distributed-generation equipment - Google Patents

Abstract

The present invention proposes a kind of intelligent distribution network power supply optimization method containing Distributed-generation equipment, including S1: be that load in power distribution network is composed and set weight according to the Value of lost load of every profession and trade；S2: provide a power supply allocative decision solution space, obtains a solution from which as initial power supply allocative decision；Each isolated island scope of S3: calculating power distribution network under power supply allocative decision；S4: according to the load total value in each isolated island scope, determine the optimum isolated island scope of this current power supply allocative decision；S5: provide an optimal conditions, skips to step S7 when the power supply allocative decision obtained meets optimal conditions, otherwise skips to step S6；S6: according to the power supply allocative decision in glowworm swarm algorithm calculation procedure S5, generates a new power supply allocative decision, is back to step S3；S7: according to optimal power allocative decision and the final optimum isolated island scope of current distributed power generation power supply, be powered.After ensureing the system failure, Distributed-generation equipment is to the power supply of important load in distribution region.

Description

Intelligent distribution network power supply optimization method containing Distributed-generation equipment

Technical field

The present invention relates to operation power technical field, particularly relate to a kind of intelligent distribution network containing Distributed-generation equipment and supply Electric optimization.

Background technology

In recent years, due to growth and the Fossil fuel destruction to the energy of global energy requirements, generation of electricity by new energy technology obtains Arrive sufficient development, in the middle of increasing generation of electricity by new energy equipment access system.These generation of electricity by new energy equipment is typically Access near distribution user with the form of small-scale distributed power source.Except meeting daily energy demand, DG (distributed power generation Equipment) power supply of power distribution network important load can also be ensured when outside grid collapses, IEEE Std.1547-2011 also by Originally IEEE Std.2000.929 avoid the islet operation of electrical network to be revised as supporting that electrical network and user are realized by technological means Intentional islanding.

At present, the research of the power distribution network islet operation range problem after accessing for DG is mainly considering that generating is held Under the constraints such as amount, line transmission capacity, network connectivty, to improve supply district, to reduce power supply network loss, guarantee to important Load power etc. in condition one or several be optimization aim, calculated by optimized algorithms such as Kruskal algorithm, genetic algorithms Go out the islet operation scope of optimum.

Summary of the invention

It is an object of the invention to provide a kind of intelligent distribution network power supply optimization method containing Distributed-generation equipment, quickly count The allocative decision of point counting cloth generating equipment capacity and corresponding isolated island scope, it is ensured that after the system failure, Distributed-generation equipment is to joining The power supply of important load in electricity region.

For solving the problems referred to above, the present invention proposes a kind of intelligent distribution network power supply optimization side containing Distributed-generation equipment Method, comprises the following steps:

S1: be that load in power distribution network is composed and set weight according to the Value of lost load of every profession and trade；

S2: provide a power supply allocative decision solution space, obtains a solution from which as initial power supply allocative decision；

Each isolated island scope of S3: calculating power distribution network under power supply allocative decision；

S4: according to the load total value in each isolated island scope, determine the optimum isolated island model of this current power supply allocative decision Enclose；

S5: provide an optimal conditions, skips to step S7 when the power supply allocative decision obtained meets optimal conditions, otherwise jumps To step S6；

S6: according to the power supply allocative decision in glowworm swarm algorithm calculation procedure S5, generates a new power supply allocative decision, returns It is back to step S3；

S7: according to optimal power allocative decision and the final optimum isolated island scope of current distributed power generation power supply, enter Row power supply.

According to one embodiment of present invention, in described step S1, according to the Value of lost load of every profession and trade for joining Load in electrical network is composed and is set weight, is minimised as target with outage cost, wherein, and the power of the biggest then load of Value of lost load The biggest, the weight of the least then load of Value of lost load is the least.

According to one embodiment of present invention, in described step S1, Value of lost load V_j, direct electric power it is worth V_djIt is worth V with indirect electric power_ijTwo parts form, and its computing formula is

V_j=V_dj+V_ij (1)

V_dj=N_j/G_kj (2)

$V_{ij}=\frac{L_j\underset{i=1}{\overset{n}{\Σ}}{X}_{ij}}{G_k{X}_j}---\left(3\right)$

Wherein, N_jFor the value added of j sectoral output, G_kjBeing that j department consumes electricity, formula 3 is that indirect electric power is worth, and is electric power The j department that division unit electricity produces indirectly is worth, X_ijIt is intermediate consumption, is the product quantity of the j department that the production of i department needs It is worth, G_kIt is the gross generation representing power department, X_jIt it is the Gross Output amount for j department.

According to one embodiment of present invention, in described step S2, power supply allocative decision solution space is that a group of access is joined The allocative decision of the Distributed-generation equipment of electrical network, the most arbitrarily obtains a solution as initial power supply allocative decision；Solve It is identical with access point number that space meets dimension, and each element solution is nonzero value vector.

According to one embodiment of present invention, in described step S4, according to each load in the range of each isolated island and load Corresponding weight obtains the load total value of each isolated island scope, divides using the isolated island scope that load total value is maximum as this current power supply The optimum isolated island scope of formula case.

According to one embodiment of present invention, in described step S5, described optimal conditions is iterations threshold value or excellent Change desired value, when the iterations obtaining power supply allocative decision according to glowworm swarm algorithm iterative computation reaches iterations threshold value Time, or, when the fiducial value of current with last power supply allocative decision is less than optimization target values, skips to step S7, otherwise jump To step S6；Wherein, step S6 is jumped directly to when performing to obtain power supply allocative decision for the first time.

According to one embodiment of present invention, calculate power supply allocative decision according to glowworm swarm algorithm, generate one group of new confession Electricity allocative decision, including:

Assume that power supply allocative decision to be optimized is d dimension, in solution space, first initialize the position of a group LampyrideaIt is being at zero away from its distance that its initial light intensity of certain Lampyridea be it to be sent to light Intensity be designated as I_i, I_iWithThe target function value at place is equal, it may be assumed thatThe light that Lampyridea i sends is existing through transmission Intensity at Lampyridea j is I_ij, its same r²It is directly proportional, meets formula (7)

$I_{ij}=I_i{e}^{-{{\mathrm{\γr}}_{ij}}^2}---\left(7\right)$

Wherein γ is the absorption coefficient of light, r_ijFor the Descartes's distance between Lampyridea and Lampyridea, i.e.

$r_{ij}=\left|\right|\stackrel{\→}{x_i}-\stackrel{\→}{x_j}\left|\right|=\sqrt{\underset{k=1}{\overset{d}{\Σ}}{(x_{i,k}-x_{j,k})}^2}---\left(8\right)$

Assume that Lampyridea i is proportional to captivation and the Lampyridea i relative luminance at Lampyridea j of Lampyridea j, then by The definition of the relative luminance of Lampyridea i can obtain Lampyridea captivation β to Lampyridea j_ij(r_ij) it is

${\mathrm{\β}}_{ij}\left(r_{ij}\right)={\mathrm{\β}}_0{e}^{-{{\mathrm{\γr}}_{ij}}^2}---\left(9\right)$

Due to the attraction of Lampyridea i, Lampyridea j moves to it and updates the position of oneself, the location updating of j such as following formula (10):

$\stackrel{\→}{x_j}(t+1)=\stackrel{\→}{x_j}\left(t\right)+{\mathrm{\β}}_{ij}\left(r_{ij}\right)\left(\stackrel{\→}{x_i}\right(t)-\stackrel{\→}{x_j}(t\left)\right)+\mathrm{\α}\stackrel{\→}{{\mathrm{\ϵ}}_j}---\left(10\right)$

Wherein, t is iterations, β_ij(r_ij) it is that the captivation of Lampyridea j is calculated by Lampyridea i by formula 10, α For the constant on interval [0,1],Be by Gauss distribution, be uniformly distributed or other distribution obtain random number vector；

For the vector being made up of the Distributed-generation equipment capacity of each access point, successive ignition, find and meet optimization bar The optimal power allocative decision of part.

According to one embodiment of present invention, in described step S2 to step S6, glowworm swarm algorithm is utilized to calculate, repeatedly During Dai, solution is made to restrain to optimal solution.

According to one embodiment of present invention, the power supply objective optimization under the conditions of power distribution network breaks down.

After using technique scheme, the present invention has the advantages that compared to existing technology for containing distributed electrical The intelligent distribution network in source, utilizing the method losing Laden-Value is load assignment in power distribution network, and the electric power of assessment load is worth, and is connecing In the case of access point and total capacity are fixing, to minimize loss of outage as target, carry out distributed power source access capacity distribution and Calculate isolated island scope, the value of electric load in the range of calculating isolated island, to assess the quality of isolated island division scope, thus quickly count The allocative decision of point counting cloth generating equipment capacity and corresponding isolated island scope, obtain optimal power scheme, it is ensured that after the system failure Distributed-generation equipment is to the power supply of important load in distribution region.

Accompanying drawing explanation

Fig. 1 is that the flow process of the intelligent distribution network power supply optimization method containing Distributed-generation equipment of one embodiment of the invention is shown It is intended to；

Fig. 2 is No. 1, No. 2 circuit model figures of power distribution network of one embodiment of the invention；

Fig. 3 is No. 3, No. 4 circuit model figures of power distribution network of one embodiment of the invention.

Detailed description of the invention

Understandable, below in conjunction with the accompanying drawings to the present invention for enabling the above-mentioned purpose of the present invention, feature and advantage to become apparent from Detailed description of the invention be described in detail.

Elaborate a lot of detail in the following description so that fully understanding the present invention.But the present invention can be with Much being different from alternate manner described here to implement, those skilled in the art can be in the situation without prejudice to intension of the present invention Under do similar popularization, therefore the present invention is not limited by following public being embodied as.

Referring to Fig. 1, the intelligent distribution network power supply optimization method containing Distributed-generation equipment of the embodiment of the present invention, including with Lower step:

S1: be that load in power distribution network is composed and set weight according to the Value of lost load of every profession and trade；

S2: provide a power supply allocative decision solution space, obtains a solution from which as initial power supply allocative decision；

Each isolated island scope of S3: calculating power distribution network under power supply allocative decision；

S4: according to the load total value in each isolated island scope, determine the optimum isolated island model of this current power supply allocative decision Enclose；

S5: provide an optimal conditions, skips to step S7 when the power supply allocative decision obtained meets optimal conditions, otherwise jumps To step S6；

S6: according to the power supply allocative decision in glowworm swarm algorithm calculation procedure S5, generates a new power supply allocative decision, returns It is back to step S3；

S7: according to optimal power allocative decision and the final optimum isolated island scope of current distributed power generation power supply, enter Row power supply.

Preferably, the intelligent distribution network power supply optimization method containing Distributed-generation equipment of the embodiment of the present invention is used for distribution Net break down under the conditions of power supply objective optimization.

In step sl, it is that load in power distribution network is composed and set weight, Ke Yishi according to the Value of lost load of every profession and trade The load of distribution box each in the electrical network in fault generation area is carried out weight assignment so that the importance of load is different, thus Can power for important load, reduce the Value Loss after electric power loses load.

Value of lost load (value of lost load, VOLL) refers to cause national economy etc. due to short of electricity Loss, be weigh outage cost standard.In step sl, it is in power distribution network according to the Value of lost load of every profession and trade Load is composed and is set weight, is minimised as target with outage cost, and wherein, the weight of the biggest then load of Value of lost load is the biggest, The weight of the least then load of Value of lost load is the least.

The different Value of lost load lost under load level can be obtained so that lack by existing input-output analysis method Electric loss is minimum or the least, the most reinflated.Electric power for all departments' electricity consumption is worth Vlj, i.e. all departments' use The electric power of electricity is worth often is increased, by this department, the direct electric power value Vdj that the electric quantity consumption (generally 1kWh) of a unit is brought It is worth Vij two parts composition with indirect electric power.

In one embodiment of the invention, in step sl, Value of lost load V_j, direct electric power it is worth V_djWith Electric power is worth V indirectly_ijTwo parts form, and its computing formula is

V_j=V_dj+V_ij (1)

V_dj=N_j/G_kj (2)

$V_{ij}=\frac{L_j\underset{i=1}{\overset{n}{\Σ}}{X}_{ij}}{G_k{X}_j}---\left(3\right)$

Wherein, N_jFor the value added of j sectoral output, G_kjBeing that j department consumes electricity, formula 3 is that indirect electric power is worth, and is electric power The j department that division unit electricity produces indirectly is worth, X_ijIt is intermediate consumption, is the product quantity of the j department that the production of i department needs It is worth, G_kIt is the gross generation representing power department, X_jIt it is the Gross Output amount for j department.The electric power of each production division is determined with this Laden-Value, is obtained all departments' electric power by formula (1)-(3) and is worth as shown in table 1, but without limitation.

Table 1 produces load electric power and is worth and load weight

Arrange the load weight for example, 1/Mw of the production and supply industry of electric power, heating power and water according to this table, other departments weigh Heavily it is worth by its electric power and arranges in proportion, the most exemplary.

In step s 2, it is provided that a power supply allocative decision solution space, obtain a solution from which and divide as initial power supply Formula case.Wherein, power supply allocative decision solution space is the allocative decision of the Distributed-generation equipment of a group of access power distribution network, from it In arbitrarily obtain a solution as initial power supply allocative decision；Solution space meets dimension and access point (access load) number phase Together, and each element solution is nonzero value vector, and each element solution represents the capacity of access point, and therefore solution space summation is total appearance Amount.

In step s3, each isolated island scope of calculating power distribution network under power supply allocative decision.Isolated island scope is satisfied Electric network composition connectedness, power-balance, heat stability etc. retrain, and by the independently-powered operation of a Distributed-generation equipment Scope.The calculating of isolated island scope can be refering to " based on minimum spanning tree and improved adaptive GA-IAGA containing distributed power source power distribution network Isolated island division methods Feng Xueping ", the document such as " distributed generator islanding based on Floyd_warshall algorithm divides _ thank latent ", Do not repeat them here.

S4: according to the load total value in each isolated island scope, determine the optimum isolated island model of this current power supply allocative decision Enclose.In one embodiment of the invention, each isolated island is obtained according to the weight that each load in the range of each isolated island is corresponding with load The load total value of scope, using the maximum isolated island scope of load total value as the optimum isolated island model of this current power supply allocative decision Enclose.Other can also select optimum isolated island based on the such as isolated island such as floyd-warshall, minimum spanning tree range searching algorithm Scope, but have shortcomings such as easily stopping search in the result of local optimum, do not repeat them here.

S5: provide an optimal conditions, skips to step S7 when the power supply allocative decision obtained meets optimal conditions, otherwise jumps To step S6.Optimal conditions can be arranged, and can be the iterations of glowworm swarm algorithm, or is the condition of convergence.

It is also preferred that the left in step s 5, optimal conditions is iterations threshold value or optimization target values, when according to glowworm swarm algorithm Iterative computation obtain the powering iterations of allocative decision is when reaching iterations threshold value, or, current with last power supply When the fiducial value of allocative decision is less than optimization target values, skips to step S7, otherwise skip to step S6；Wherein, perform for the first time Obtain jumping directly to step S6 during power supply allocative decision.

In step s 6, according to the power supply allocative decision in glowworm swarm algorithm calculation procedure S5, generate a new power supply and divide Formula case, is back to step S3.

In one embodiment, calculate power supply allocative decision according to glowworm swarm algorithm, generate one group of new power supply distribution side Case, including:

Assume that power supply allocative decision to be optimized is d dimension, in solution space, first initialize the position of a group LampyrideaIt is being at zero away from its distance that its initial light intensity of certain Lampyridea be it to be sent to light Intensity be designated as I_i, I_iWithThe target function value at place is equal, it may be assumed thatThe light that Lampyridea i sends is existing through transmission Intensity at Lampyridea j is I_ij, its same r²It is directly proportional, meets formula (7)

$I_{ij}=I_i{e}^{-{{\mathrm{\γr}}_{ij}}^2}---\left(7\right)$

Wherein γ is the absorption coefficient of light, r_ijFor the Descartes's distance between Lampyridea and Lampyridea, i.e.

$r_{ij}=\left|\right|\stackrel{\→}{x_i}-\stackrel{\→}{x_j}\left|\right|=\sqrt{\underset{k=1}{\overset{d}{\Σ}}{(x_{i,k}-x_{j,k})}^2}---\left(8\right)$

Assume that Lampyridea i is proportional to captivation and the Lampyridea i relative luminance at Lampyridea j of Lampyridea j, then by The definition of the relative luminance of Lampyridea i can obtain Lampyridea captivation β to Lampyridea j_ij(r_ij) it is

${\mathrm{\β}}_{ij}\left(r_{ij}\right)={\mathrm{\β}}_0{e}^{-{{\mathrm{\γr}}_{ij}}^2}---\left(9\right)$

Due to the attraction of Lampyridea i, Lampyridea j moves to it and updates the position of oneself, the location updating of j such as following formula (10):

$\stackrel{\→}{x_j}(t+1)=\stackrel{\→}{x_j}\left(t\right)+{\mathrm{\β}}_{ij}\left(r_{ij}\right)\left(\stackrel{\→}{x_i}\right(t)-\stackrel{\→}{x_j}(t\left)\right)+\mathrm{\α}\stackrel{\→}{{\mathrm{\ϵ}}_j}---\left(10\right)$

Wherein, t is iterations, β_ij(r_ij) it is that the captivation of Lampyridea j is calculated by Lampyridea i by formula 10, α For the constant on interval [0,1],Be by Gauss distribution, be uniformly distributed or other distribution obtain random number vector；

For the vector being made up of the Distributed-generation equipment capacity of each access point, successive ignition, find and meet optimization bar The optimal power allocative decision of part.

In step S2 to step S6, utilize glowworm swarm algorithm to calculate, in an iterative process, make solution restrain to optimal solution. Optimization target values is convergence desired value.

In the step s 7, according to optimal power allocative decision and the final optimum isolated island of current distributed power generation power supply Scope, is powered.

Electrically-based mistake Laden-Value determines the weight of load, and the determination of weight and part throttle characteristics dependency are relatively strong, therefore adopt By example of calculation, this example is the distribution network system accessing somewhere, northeast transformer station, and this system comprises four circuits, total capacity 40MVA, access capacity is set to the 8MVA of total capacity, and actual access point is circuit stage casing residential neighborhood.

Fig. 2,3 it is the power distribution network that four circuits of actual access transformer station are corresponding, the numeral on load, tiltedly a left side for line Side is the size of load, and unit is Mw, and tiltedly the weight of load on the right side of line, loses Laden-Value and determine, according to every profession and trade Directly or indirectly the output value calculates as shown in table 1, and circle labeling position is Distributed-generation equipment on-position, and total capacity is set to The 20% of substation capacity, amounts to 8Mw.First in solution space, generate 10 groups of random values, represent a kind of capacity to often organizing random value Allocative decision.Calculate all isolated island scopes that every kind of scheme produces, compare and choose optimum isolated island scope, calculate load in this scope Weights comprehensive, according to the weights size of each scheme, substitute into glowworm swarm algorithm computing formula, such as formula 10, again generate 10 groups with Machine value, judges again, until reaching iterations or convergence reaches standard.The access capacity of different circuits and weight comprehensively referring to Table 2.

	Circuit 1	Circuit 2	Circuit 3	Circuit 4
					Access capacity	0.862	2.573	0.974	3.591
Weight and	32.436	61.611	13.768	56.781

Access capacity and the weight of the different circuit of table 2 are comprehensive

The present invention can objectively respond the value of load by losing the load weight that determines of Laden-Value method, compensate for according to Load level divides the most rough shortcoming.For in Practical Project, the condition that load access point is fixing, utilize Lampyridea optimization Algorithm iterative computation successively, can quickly obtain accessing DG total capacity one timing, with load weight and maximum in the range of isolated island Optimal Distribution formula Generation capacity allocation scheme for optimization aim.

Although the present invention is open as above with preferred embodiment, but it is not for limiting claim, any this area Technical staff without departing from the spirit and scope of the present invention, can make possible variation and amendment, therefore the present invention Protection domain should be defined in the range of standard with the claims in the present invention.

Claims (9)

1. the intelligent distribution network power supply optimization method containing Distributed-generation equipment, it is characterised in that comprise the following steps:

S1: be that load in power distribution network is composed and set weight according to the Value of lost load of every profession and trade；

S2: provide a power supply allocative decision solution space, obtains a solution from which as initial power supply allocative decision；

Each isolated island scope of S3: calculating power distribution network under power supply allocative decision；

S4: according to the load total value in each isolated island scope, determine the optimum isolated island scope of this current power supply allocative decision；

S5: provide an optimal conditions, skips to step S7 when the power supply allocative decision obtained meets optimal conditions, otherwise skips to step Rapid S6；

S6: according to the power supply allocative decision in glowworm swarm algorithm calculation procedure S5, generates a new power supply allocative decision, is back to Step S3；

S7: according to optimal power allocative decision and the final optimum isolated island scope of current distributed power generation power supply, supply Electricity.

2. the intelligent distribution network power supply optimization method containing Distributed-generation equipment as claimed in claim 1, it is characterised in that In described step S1, it is that load in power distribution network is composed and set weight according to the Value of lost load of every profession and trade, with outage cost Little turning to target, wherein, the weight of the biggest then load of Value of lost load is the biggest, the least then load of Value of lost load Weight is the least.

3. the intelligent distribution network power supply optimization method containing Distributed-generation equipment as claimed in claim 1 or 2, its feature exists In, in described step S1, Value of lost load V_j, direct electric power it is worth V_djIt is worth V with indirect electric power_ijTwo parts group Becoming, its computing formula is

V_j=V_dj+V_ij (1)

V_dj=N_j/G_kj (2)

$V_{ij}=\frac{L_j\underset{i=1}{\overset{n}{\Σ}}{X}_{ij}}{G_k{X}_j}---\left(3\right)$

Wherein, N_jFor the value added of j sectoral output, G_kjBeing that j department consumes electricity, formula 3 is that indirect electric power is worth, and is power department The j department that unit quantity of electricity produces indirectly is worth, X_ijIt is intermediate consumption, is the product quantity valency of the j department that the production of i department needs Value, G_kIt is the gross generation representing power department, X_jIt it is the Gross Output amount for j department.

4. the intelligent distribution network power supply optimization method containing Distributed-generation equipment as claimed in claim 1, it is characterised in that In described step S2, power supply allocative decision solution space is the allocative decision of the Distributed-generation equipment of a group of access power distribution network, from The most arbitrarily obtain a solution as initial power supply allocative decision；It is identical with access point number that solution space meets dimension, and respectively Individual element solution is nonzero value vector.

5. the intelligent distribution network power supply optimization method containing Distributed-generation equipment as claimed in claim 1, it is characterised in that In described step S4, the load obtaining each isolated island scope according to the weight that each load in the range of each isolated island is corresponding with load is total Value, using the maximum isolated island scope of load total value as the optimum isolated island scope of this current power supply allocative decision.

6. the intelligent distribution network power supply optimization method containing Distributed-generation equipment as claimed in claim 1, it is characterised in that In described step S5, described optimal conditions is iterations threshold value or optimization target values, when according to glowworm swarm algorithm iterative computation Obtain the powering iterations of allocative decision is when reaching iterations threshold value, or, current with last power supply allocative decision Fiducial value less than optimization target values time, skip to step S7, otherwise skip to step S6；Wherein, powered in execution for the first time Step S6 is jumped directly to during allocative decision.

7. the intelligent distribution network power supply optimization method containing Distributed-generation equipment as claimed in claim 1, it is characterised in that root Calculate power supply allocative decision according to glowworm swarm algorithm, generate one group of new power supply allocative decision, including:

Assume that power supply allocative decision to be optimized is d dimension, in solution space, first initialize the position of a group LampyrideaIt is being at zero away from its distance that its initial light intensity of certain Lampyridea be it to be sent to light Intensity be designated as I_i, I_iWithThe target function value at place is equal, it may be assumed thatThe light that Lampyridea i sends is existing through transmission Intensity at Lampyridea j is I_ij, its same r²It is directly proportional, meets formula (7)

$I_{ij}=I_i{e}^{-{{\mathrm{\γr}}_{ij}}^2}---\left(7\right)$

Wherein γ is the absorption coefficient of light, r_ijFor the Descartes's distance between Lampyridea and Lampyridea, i.e.

$r_{ij}=\left|\right|\stackrel{\→}{x_i}-\stackrel{\→}{x_j}\left|\right|=\sqrt{\underset{k=1}{\overset{d}{\Σ}}{(x_{i,k}-x_{j,k})}^2}---\left(8\right)$

Assume that Lampyridea i is proportional, then by Luciola vitticollis to captivation and the Lampyridea i relative luminance at Lampyridea j of Lampyridea j The definition of the relative luminance of worm i can obtain Lampyridea captivation β to Lampyridea j_ij(r_ij) it is

${\mathrm{\β}}_{ij}\left(r_{ij}\right)={\mathrm{\β}}_0{e}^{-{{\mathrm{\γr}}_{ij}}^2}---\left(9\right)$

Due to the attraction of Lampyridea i, Lampyridea j moves to it and updates the position of oneself, the location updating of j such as following formula (10):

$\stackrel{\→}{x_j}(t+1)=\stackrel{\→}{x_j}\left(t\right)+{\mathrm{\β}}_{ij}\left(r_{ij}\right)\left(\stackrel{\→}{x_i}\right(t)-\stackrel{\→}{x_j}(t\left)\right)+\mathrm{\α}\stackrel{\→}{{\mathrm{\ϵ}}_j}---\left(10\right)$

Wherein, t is iterations, β_ij(r_ij) it is that the captivation of Lampyridea j is calculated by Lampyridea i by formula 10, α is interval Constant on [0,1],Be by Gauss distribution, be uniformly distributed or other distribution obtain random number vector；

For the vector being made up of the Distributed-generation equipment capacity of each access point, successive ignition, find and meet optimal conditions Optimal power allocative decision.

8. the intelligent distribution network power supply optimization method containing Distributed-generation equipment as described in claim 1 or 8, its feature exists In, in described step S2 to step S6, utilize glowworm swarm algorithm to calculate, in an iterative process, make solution restrain to optimal solution.

9. the intelligent distribution network power supply optimization method containing Distributed-generation equipment as claimed in claim 1, it is characterised in that use Power supply objective optimization under the conditions of power distribution network breaks down.