CN111799801A - Alternating current-direct current hybrid power distribution network power flow optimization control algorithm based on particle swarm algorithm - Google Patents
Alternating current-direct current hybrid power distribution network power flow optimization control algorithm based on particle swarm algorithm Download PDFInfo
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- H—ELECTRICITY
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Abstract
An alternating current-direct current hybrid power distribution network power flow optimization control algorithm based on a particle swarm algorithm belongs to the field of power distribution regulation and control. Determining lines of power distribution network interconnection among areas according to the power distribution network structure diagram and numbering; setting a two-dimensional matrix classified by lines, and associating line numbers with power flow values on the lines; setting a power distribution network operation quality evaluation standard by applying a fuzzy evaluation theory; initializing the speed and position of a particle swarm; judging whether the power flow value of each line is within a boundary range; and carrying out load flow calculation on the power distribution network to obtain a power distribution network operation standard evaluation value, and comparing the value with the previously obtained highest evaluation value. The method adopts the particle swarm algorithm to carry out load flow calculation on a plurality of known alternating current-direct current hybrid power distribution networks, can quickly and timely calculate the optimal power flow value, realizes the real-time load flow optimal control of the whole power distribution network, enables the whole power distribution network to be in the optimal state to operate, and builds the power transmission line which is more beneficial to the overall performance of the whole power distribution network.
Description
Technical Field
The invention belongs to the field of power distribution regulation and control, and particularly relates to a power flow control algorithm for an alternating current-direct current series-parallel power distribution network.
Background
In recent years, in order to alleviate the energy crisis and reduce the pollution of industrial emission, a large number of distributed new energy devices are incorporated into the power grid, but the new energy power sources have the characteristics of geographical dispersion, intermittence, randomness and the like, and the conventional power generation mode is changed into a centralized and distributed mode.
Due to the addition of new energy direct current loads such as electric automobiles and the like, the management of electric energy becomes more difficult, and the traditional power distribution system of the power system can not meet the requirement any more.
The adoption of a multi-level alternating current-direct current hybrid power distribution network with a multi-port electric energy router as a core becomes an effective solution for large-scale distributed power access. And the power flow optimization control between the alternating current and direct current hybrid power distribution networks in different areas becomes an important factor for determining the optimal operation of the power grid.
By researching the characteristic that the multi-port electric energy router has accurate control of power flow, the negative influence on a power distribution network after the distributed power supply is connected to the grid can be reduced as much as possible, the utilization rate of new energy is improved, the node voltage amplitude is improved, and the network loss of a system is reduced.
Multiport electric energy router energy routing mainly embodies two aspects from the electric power system perspective to the effect of distribution network, and one is with single electric energy router core, carries out the power flow between medium voltage alternating current electric wire netting, low pressure alternating current electric wire netting, medium voltage direct current electric wire netting and the low pressure direct current electric wire netting, can realize balancing the power distribution of each sub-distribution network, promotes electric power system's stability. On the other hand, the medium-voltage direct-current bus of the electric energy router is used as a bridge, power intercommunication is realized in a power distribution area where the electric energy routers are located, the load of a heavy-load power distribution area is transferred to a low-load power distribution area and borne by the low-load power distribution area, the overall intercommunication of the whole power distribution network is realized, and the flexible power regulation capacity of the electric energy router is utilized, so that the network load distribution is more balanced, the maximum transmission power of a line is improved, and the power supply capacity is obviously improved.
The interconnection among different power distribution areas has the problems of complex connection condition, limited power flow value range and the like, so that the solution of the power flow optimal scheme among the power distribution areas becomes difficult. Therefore, an algorithm capable of quickly and timely obtaining an optimal flow scheme of the interconnection power among the plurality of power distribution areas is needed, so that the whole power distribution network can realize real-time power flow optimization control, and the whole power distribution network can operate in an optimized state.
Disclosure of Invention
The invention aims to solve the technical problem of providing a power flow optimization control algorithm of an alternating current-direct current hybrid power distribution network based on a particle swarm algorithm. According to the technical scheme, a particle swarm algorithm is adopted to perform load flow calculation on a plurality of known alternating current-direct current hybrid power distribution networks, and the optimal power flow value of interconnection among regional power distribution networks is rapidly obtained by adopting proper algorithm parameters according to the set evaluation standard of the operation of the power distribution networks and the boundary conditions of the operation of the power distribution networks. The method has the advantages that the alternating current-direct current hybrid power distribution network in the calculation region can be enabled to be in the load flow optimal operation by rapidly calculating the optimal power flow value between the alternating current-direct current hybrid power distribution networks in different regions, and due to the rapidity of the algorithm, the requirement for rapid dynamic adjustment of the whole power distribution network can be met, the whole power distribution network can be enabled to keep the optimal operation in real time, and the operation cost of the power distribution network is greatly reduced.
The technical scheme of the invention is as follows: the method is characterized in that the alternating current-direct current hybrid power distribution network power flow optimization control algorithm comprises the following steps:
1) determining the lines of power distribution network interconnection among the regions according to the topology structure diagram of the whole power distribution network, and numbering;
2) setting a two-dimensional matrix classified by lines, and associating line numbers with power flow values on the lines;
3) setting a power distribution network operation goodness evaluation standard, namely a membership function, by applying a fuzzy evaluation theory;
4) initializing the speed and position of the particle swarm, and setting the power flow value of each line to be zero;
5) judging whether the power flow value of each line is within a boundary range; if the boundary range is exceeded, taking a boundary value;
6) after the power flow value of each line is determined, load flow calculation is carried out on the whole power distribution network to obtain a power distribution network operation standard evaluation value, and the value is compared with the previously obtained highest evaluation value;
7) judging whether the maximum iteration times are reached or the precision requirement is met;
if so, stopping iteration, setting an optimal scheme, and simultaneously judging whether the optimal value of the power flow of the line is positioned on the boundary; if yes, the actual line is shown to be likely to optimize the operation of the whole power grid through expanding the transmission capacity, the condition is recorded, and a report is generated;
if no power flow optimal value of the line is positioned at the boundary, the current line construction is the optimal construction scheme, and the transmission capacity does not need to be expanded.
Specifically, in the step 3, the fuzzy evaluation theory is applied by weighting and normalizing a plurality of evaluation criteria.
Specifically, in step 6, the ac-dc hybrid power flow calculation method is applied to perform power flow calculation on the entire power distribution network.
Specifically, in step 7, if the optimal power flow value of a line is located at the boundary, which indicates that the actual line may optimize the operation of the entire power grid through expanding the transmission capacity, the condition is recorded and is collated into a report, so as to provide a reference suggestion for building interconnected lines of the regional distribution network.
Further, the alternating current-direct current hybrid power distribution network power flow optimization control algorithm sets a membership function F aiming at network loss1:
Setting a membership function F according to the node voltage condition2：
Therefore, the comprehensive evaluation value can be set to F:
F＝C1F1+C2F2(3)
wherein C is1,C2The weight coefficient is the proportion of the network loss and the voltage condition in the evaluation system.
Specifically, in step 6, if the evaluation maximum value is higher than the previously obtained evaluation maximum value, the scheme is set as the currently most-available scheme, and the currently evaluated maximum value is updated to the value.
If the value is lower than the previously obtained evaluated highest value, the value is discarded and the velocity and displacement of the particles are updated.
Further, the alternating current-direct current hybrid power distribution network power flow optimization control algorithm selects network loss and node voltage amplitude values as evaluation criteria to evaluate the running condition of the power distribution network.
Specifically, the network loss at least comprises transmission line loss and multi-port electric energy router loss.
Further, the particle update adopts the following formula:
in the formula, omega represents inertia weight; c. C1And c2Represents a learning factor; rand is a random number within (0, 1).
According to the alternating current-direct current hybrid power distribution network power flow optimization control algorithm, the known multiple alternating current-direct current hybrid power distribution networks are subjected to power flow calculation by adopting the particle swarm algorithm, so that the optimal power flow value can be calculated quickly and timely, the control center can adjust the inter-area power transmission power in real time, the whole power distribution network is kept to operate in an optimized state constantly, the real-time power flow optimization control of the whole power distribution network is realized, and the whole power distribution network is operated in an optimized state.
Compared with the prior art, the invention has the advantages that:
1. according to the technical scheme, the particle swarm algorithm is applied to optimal power flow control of the inter-regional power distribution network, the optimal power flow value can be rapidly and timely calculated, the operation efficiency of the power grid is improved, and the cost is saved;
2. according to the technical scheme, the optimal power flow value between the alternating current and direct current hybrid power distribution networks in different regions is calculated quickly, so that the requirement for quickly and dynamically adjusting the whole power distribution network can be met, the whole power distribution network keeps optimized operation in real time, and the operation cost of the power distribution network is greatly reduced;
3. by adopting the technical scheme of the invention, corresponding construction guidance suggestions can be provided for planning departments of the power transmission line, and the construction of the power transmission line is more beneficial to the overall performance of the whole power distribution network.
Drawings
FIG. 1 is a schematic flow block diagram of an algorithm implementation of the present invention;
fig. 2 is a diagram of an example scenario application of the present invention.
Detailed Description
The invention is further illustrated with reference to the following figures and examples.
In fig. 1, the algorithm in the technical solution of the present invention is implemented as follows:
aiming at the problem that the interconnected optimal power flow value among the whole multiple regional power distribution networks is difficult to solve, firstly, the topological structure of the whole power distribution network is determined, the line needing to obtain the optimal power flow value is determined according to the topological structure, then, the power flow limit value of each interconnected line is determined, the constraint condition of the optimal solution is set, finally, the particle swarm algorithm is utilized, appropriate algorithm parameters are set according to the actual situation mode, and the optimal power flow value is obtained.
The main flow of the algorithm can be divided into the following seven steps:
step 1: and determining the lines of the inter-regional power distribution network interconnection according to the topology structure diagram of the whole power distribution network, and numbering.
Step 2: a two-dimensional matrix classified by lines is set, and the line number and the power flow value on the line are correlated.
And step 3: applying a fuzzy evaluation theory, and setting a power distribution network operation goodness evaluation standard, namely a membership function, if:
setting membership function F aiming at network loss1:
Setting a membership function F according to the node voltage condition2：
Therefore, the comprehensive evaluation value can be set to F:
F＝C1F1+C2F2(3)
wherein C is1,C2The weight coefficient is the proportion of the network loss and the voltage condition in the evaluation system.
And 4, step 4: initializing the speed and position of the particle swarm and setting the power flow value of each line to be zero.
And 5: it is determined whether the power flow value of each line is within the boundary range. If the boundary range is exceeded, the boundary value is taken.
Step 6: after the power flow value of each line is determined, load flow calculation is carried out on the whole power distribution network to obtain a power distribution network operation standard evaluation value, and the value is compared with the previously obtained highest evaluation value.
If the evaluation maximum value is higher than the previously obtained evaluation maximum value, the scheme is set as the most current scheme, and the current evaluation maximum value is updated to the value.
If the value is lower than the previously obtained evaluated highest value, the value is discarded and the velocity and displacement of the particles are updated.
And 7: judging whether the maximum iteration times are reached or the accuracy requirement is met, if so, stopping iteration, setting an optimal scheme, and simultaneously judging whether the power flow optimal value of the line is positioned at the boundary, if so, indicating that the operation of the whole power grid is possibly optimized by expanding the transmission capacity of the actual line, recording the condition, and generating a report. If no power flow optimal value of the line is positioned at the boundary, the current line construction is the optimal construction scheme, and the transmission capacity does not need to be expanded.
Through the steps, the optimal power transmission scheme for interconnection of the power distribution area in which the whole power distribution network operates can be obtained quickly, the technical scheme can meet the optimal operation under the given evaluation standard of the operation of the power distribution network, and according to the calculation rapidity of the technical scheme, the control center can adjust the power transmission power among the areas in real time and keep the whole power distribution network to operate in an optimal state all the time.
Meanwhile, according to the obtained optimal operation scheme, whether the operation boundary condition of a certain power transmission line is reached can be judged: if the operation boundary of a certain line is reached, the operation of the whole power distribution network can be optimized by expanding the transmission capacity of the transmission line, so that the operation boundary condition of the algorithm can be modified, the algorithm can be operated again, and the optimized operation scheme after the line capacity is expanded is obtained.
By implementing the technical scheme of the invention, corresponding construction guidance suggestions can be provided for planning departments of the power transmission line, and the construction of the power transmission line is more beneficial to the whole power distribution network.
In fig. 2, the invention is illustrated by a simple example:
the method comprises the steps that a two-region alternating-current and direct-current hybrid power distribution network system is constructed, the power distribution system of each region comprises four parts, namely a medium-voltage alternating-current power distribution network, a medium-voltage direct-current power distribution network, a low-voltage alternating-current power distribution network and a low-voltage direct-current power distribution network, and the medium-voltage direct-current power distribution network of each power distribution region is responsible for interconnecting the two. And new energy power generation devices such as photovoltaic devices, fans and the like are connected to the low-voltage alternating current and low-voltage direct current power distribution network. After the system is built, the interconnected lines can be determined, numbered and the maximum power transmission value of the interconnected lines is set.
And then setting the operation evaluation standard of the power distribution network. The evaluation of the operation condition of the power distribution network mainly comprises network loss, node voltage amplitude, harmonic content of the alternating current power grid and the like.
In the embodiment, network loss (including transmission line loss and multi-port electric energy router loss) and node voltage amplitude are selected as evaluation criteria to evaluate the operation condition of the power distribution network. However, because the two evaluation criteria have different units, the technical scheme adopts the fuzzy evaluation theory to evaluate.
Initializing the speed and the position of particles, constructing an M-dimensional search space, randomly releasing particles with a population size of N, wherein each particle is a vector containing two M dimensions and respectively marked as Xi＝(Xi1,Xi2,…,iM),Vi＝(Vi1,Vi2,…,ViM) Wherein i ═ 1,2,3, …, N; xiRepresenting position information of the ith particle, ViRepresenting the velocity information of the ith particle.
And performing power flow calculation on the power distribution network according to the particle values to obtain membership function values, namely evaluation values of the optimized operation of the whole power distribution network, and comparing the values with the previously obtained highest evaluation values. If the evaluation maximum value is higher than the previously obtained evaluation maximum value, the scheme is set as the most current scheme, and the current evaluation maximum value is updated to the value. If the value is lower than the previously obtained evaluated highest value, the value is discarded and the velocity and displacement of the particles are updated. The particle update adopts the following formula:
in the formula, omega represents inertia weight; c. C1And c2Represents a learning factor; rand is a random number within (0, 1).
In summary, the innovation of the technical solution of the present invention includes two points:
1. the particle swarm algorithm is applied to optimal power flow control of the inter-regional power distribution network, the optimal power flow value can be rapidly and timely calculated, the operation efficiency of the power grid is improved, and the cost is saved.
2. The method can provide suggestions for the construction of the interconnected transmission lines of the inter-regional alternating current and direct current hybrid power distribution network.
According to the technical scheme, the particle swarm algorithm is applied to optimal power flow control of the inter-regional power distribution network, the known multiple alternating current-direct current hybrid power distribution networks are subjected to power flow calculation by the particle swarm algorithm, the optimal power flow value can be calculated quickly and timely, the power grid operation efficiency is improved, and the cost is saved; by adopting the technical scheme, the power distribution area interconnection optimized power transmission scheme for the operation of the whole power distribution network can be obtained quickly, suggestions are provided for the construction of the interconnection power transmission line of the inter-area alternating current-direct current hybrid power distribution network, and the optimized operation mode under the given power distribution network operation evaluation standard is met.
Meanwhile, by utilizing the calculation rapidity of the technical scheme of the invention, the control center can adjust the transmission power between the areas in real time and keep the whole power distribution network to operate in an optimized state at all times, so that the real-time power flow optimization control of the whole power distribution network is realized and the whole power distribution network operates in an optimized state.
According to the technical scheme, corresponding construction guidance suggestions can be provided for planning departments of the power transmission line, and the power transmission line which is more beneficial to the overall performance of the whole power distribution network is constructed.
The method can be widely applied to the field of design and operation management of the alternating current-direct current hybrid power distribution network.
Claims (10)
1. A power flow optimization control algorithm of an alternating current-direct current hybrid power distribution network based on a particle swarm algorithm is characterized by comprising the following steps of:
1) determining the lines of power distribution network interconnection among the regions according to the topology structure diagram of the whole power distribution network, and numbering;
2) setting a two-dimensional matrix classified by lines, and associating line numbers with power flow values on the lines;
3) setting a power distribution network operation goodness evaluation standard, namely a membership function, by applying a fuzzy evaluation theory;
4) initializing the speed and position of the particle swarm, and setting the power flow value of each line to be zero;
5) judging whether the power flow value of each line is within a boundary range; if the boundary range is exceeded, taking a boundary value;
6) after the power flow value of each line is determined, load flow calculation is carried out on the whole power distribution network to obtain a power distribution network operation standard evaluation value, and the value is compared with the previously obtained highest evaluation value;
7) judging whether the maximum iteration times are reached or the precision requirement is met;
if so, stopping iteration, setting an optimal scheme, and simultaneously judging whether the optimal value of the power flow of the line is positioned on the boundary; if yes, the actual line is shown to be likely to optimize the operation of the whole power grid through expanding the transmission capacity, the condition is recorded, and a report is generated;
if no power flow optimal value of the line is positioned at the boundary, the current line construction is the optimal construction scheme, and the transmission capacity does not need to be expanded.
2. The power flow optimization control algorithm for the alternating current-direct current hybrid power distribution network based on the particle swarm optimization algorithm according to claim 1, wherein in the step 3, a fuzzy evaluation theory is applied to obtain the power flow optimization control algorithm by weighting and normalizing a plurality of evaluation criteria.
3. The power flow optimization control algorithm for the alternating current-direct current hybrid power distribution network based on the particle swarm optimization algorithm according to claim 1, wherein in the step 6, a power flow calculation is performed on the whole power distribution network by using an alternating current-direct current hybrid power flow calculation method.
4. The particle swarm optimization-based power flow optimization control algorithm for the alternating current-direct current hybrid power distribution network according to claim 1, wherein in the step 7, if the optimal value of the power flow of a line is located at a boundary, the actual line is shown to be possibly optimized to operate the whole power grid through expanding transmission capacity, the condition is recorded and is arranged into a report, and a reference suggestion is provided for building interconnected lines of a regional power distribution network.
5. The power flow optimization control algorithm for the AC/DC hybrid power distribution network based on the particle swarm optimization algorithm according to claim 1, wherein the power flow optimization control algorithm for the AC/DC hybrid power distribution network is characterized in that a membership function F is set according to network loss1:
Setting a membership function F according to the node voltage condition2：
Therefore, the comprehensive evaluation value can be set to F:
F＝C1F1+C2F2(3)
wherein C is1,C2The weight coefficient is the proportion of the network loss and the voltage condition in the evaluation system.
6. The power flow optimization control algorithm for the alternating current-direct current hybrid power distribution network based on the particle swarm optimization algorithm according to claim 1, wherein in the step 6, if the evaluation maximum value obtained before is higher than the current maximum value, the current scheme is set as the most current scheme, and the current evaluation maximum value is updated to the current maximum value.
If the value is lower than the previously obtained evaluated highest value, the value is discarded and the velocity and displacement of the particles are updated.
7. The alternating current-direct current hybrid power distribution network power flow optimization control algorithm based on the particle swarm optimization algorithm is characterized in that the alternating current-direct current hybrid power distribution network power flow optimization control algorithm selects network loss and node voltage amplitude values as evaluation criteria to evaluate the operation condition of a power distribution network.
8. The power flow optimization control algorithm for the AC-DC hybrid power distribution network based on the particle swarm optimization algorithm according to claim 7, wherein the network loss at least comprises transmission line loss and multiport electric energy router loss.
9. The power flow optimization control algorithm for the alternating current-direct current hybrid power distribution network based on the particle swarm optimization algorithm according to claim 1, wherein the particle updating adopts the following formula:
in the formula, omega represents inertia weight; c. C1And c2Represents a learning factor; rand is a random number within (0, 1).
10. The power flow optimization control algorithm for the alternating current-direct current hybrid power distribution network based on the particle swarm optimization algorithm as claimed in claim 1, wherein the power flow optimization control algorithm for the alternating current-direct current hybrid power distribution network adopts the particle swarm optimization algorithm to perform power flow calculation on a plurality of known alternating current-direct current hybrid power distribution networks, so that an optimal power flow value can be calculated quickly and timely, a control center can adjust power transmission power between regions in real time, the whole power distribution network is kept to operate in an optimized state all the time, real-time power flow optimization control of the whole power distribution network is achieved, and the whole power distribution network is enabled to operate in an optimized state.
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