CN112580868A - Power system transmission blocking management method, system, equipment and storage medium - Google Patents
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Abstract
The invention belongs to the field of power transmission management of a power system, and discloses a method, a system, equipment and a storage medium for managing power transmission blockage of the power system, wherein the method comprises the following steps: acquiring a plurality of operating states of the power system; acquiring the transmission blocking management cost of the power system in each running state; acquiring local power shortage probability of the power system in each running state; and selecting an optimal operation state from the plurality of operation states by taking the lowest transmission blocking management cost and the lowest local power shortage probability as comprehensive evaluation indexes, and performing transmission blocking management on the power system according to the optimal operation state. The combination of the transmission blocking management cost and the local power shortage probability representing the reliability of the power system is used as a comprehensive evaluation index to carry out transmission blocking management on the power system, the optimal power flow of the power system and the stability and reliability of the operation of a transmission line can be considered, and the obtained transmission blocking management and transmission management strategy of the power system can ensure the economical and reliable operation of the power system.
Description
Technical Field
The invention belongs to the field of power transmission management of a power system, and relates to a method, a system, equipment and a storage medium for managing power transmission blockage of the power system.
Background
With the continuous development of power system and the gradual opening of the power market, the cross-regional trade aiming at consuming clean energy is playing an extremely important role. The existing power system still uses provinces as entities, and when cross-regional inter-provincial power market trading is realized, the problem of transmission blockage in partial regions still is an urgent problem to be solved. The transregional inter-provincial transmission blockage is mainly caused by the fact that the output of the generator set enables the absolute value of the active power flow of the transmission line to exceed the safety limit value and the safety margin, and the active power flow of the transmission line depends on the power grid structure and the output condition of the generator set. With the increase of a large amount of distributed energy accessed by a power grid and the difference of power systems between regional provinces, the direction of the tide in the power grid gradually develops from a unidirectional flow mode of singly conveying the tide from the power grid to a user side to a bidirectional flow mode, the realization of a power market trading plan is influenced, the safe operation of the power system is threatened, the development of the power market between the provinces is restricted, the optimal configuration of resources is not facilitated, and the efficiency and the economic benefit of the power market are influenced to a certain extent. The management of transmission blocking in the cross-regional inter-provincial power market is a complex problem involving many non-linear factors, and on one hand, the economic efficiency of the operation of a power system is ensured, and on the other hand, the safe and reliable operation of the power system is ensured.
Currently, the congestion management strategy is generally determined by solving an optimal power flow problem. For example, CN108960485A discloses an online dictionary learning probability optimal power flow method in a source-load interactive power market, which adopts a learning manner to train from a large number of monte carlo simulation sampling samples to obtain a result with the highest occurrence frequency, thereby effectively avoiding a large number of repeatedly calculated direct current optimal power flows; CN106208048A discloses a block management method based on graph theory form, which proposes a form of topological graph of a power grid structure, electrical quantity is mapped into the graph to be changed into weight, and a path with the minimum cost and the maximum flow is found by utilizing the graph theory method to be referred by a dispatching department so as to avoid the block of the tidal current; CN104158188A discloses a method for eliminating output resistance blocking under the participation of interruptible loads, which aims at minimizing social cost caused by blocking, constructs a dc optimal power flow model coordinating output adjustment of a unit and interruptible load scheduling, and eliminates a blocked line by using a sensitivity method.
However, when the problem of the power transmission resistor plugs is solved, on the basis of calculating the optimal power flow, the lowest blocking management cost is taken as an objective function, and the reliability of the operation of each power transmission line when the power transmission resistor plugs in the power market are not considered, so that the stability and reliability of the operation of each power transmission line after the power flow is transferred are easily reduced although the optimal power flow is realized.
Disclosure of Invention
The invention aims to overcome the defects that the prior transmission blocking management method does not consider the operation reliability of each transmission line when the transmission blocking of the power market is carried out, and the operation stability and reliability of each transmission line are reduced after the power flow is transferred although the optimal power flow is realized, and provides a transmission blocking management method, a transmission blocking management system, equipment and a storage medium of a power system.
In order to achieve the purpose, the invention adopts the following technical scheme to realize the purpose:
in a first aspect of the present invention, a method for managing transmission congestion in an electrical power system includes the steps of:
acquiring a plurality of operating states of the power system;
acquiring the transmission blocking management cost of the power system in each running state;
acquiring local power shortage probability of the power system in each running state;
and selecting an optimal operation state from the plurality of operation states by taking the lowest transmission blocking management cost and the lowest local power shortage probability as comprehensive evaluation indexes, and performing transmission blocking management on the power system according to the optimal operation state.
The power system transmission blocking management method of the invention is further improved in that:
the operation state comprises the output of each unit in the power system, and the specific method for acquiring the plurality of operation states of the power system comprises the following steps:
and obtaining a plurality of operating states of the power system according to the load demand of the power system, based on the operation constraint of the power system and the output range of each unit in the power system and the output of each unit in the power system in the previous day.
The power system operation constraints comprise power system balance constraints, generator set output constraints, transmission channel capacity constraints and bus voltage phase angle offset constraints.
The specific method for acquiring the transmission blocking management cost of the power system in each operating state comprises the following steps:
obtaining the minimum dispatching cost of the power system according to the load demand of the power system and the quotation information of each unit in the power system; obtaining the blocking scheduling cost of the power system in each running state according to the quotation information of each unit in the power system and the running state of the power system; and taking the difference value between the blocking scheduling cost of the power system in each running state and the minimum scheduling cost of the power system as the transmission blocking management cost of the power system in each running state.
The specific method for acquiring the local power shortage probability of the power system in each operating state comprises the following steps:
and acquiring the local power shortage probability of the power system in each running state through an artificial fish swarm algorithm.
The specific method for acquiring the local power shortage probability of the power system in each running state through the artificial fish swarm algorithm comprises the following steps:
and taking each operation state as the current operation state respectively to perform the following steps to obtain the local power shortage probability of the power system in each operation state: generating random initial local power shortage probability by adopting a random number principle for each power transmission line in a power system in a current operation state; establishing an updating objective function of an artificial fish swarm algorithm based on the initial local power shortage probability of each power transmission line, the load which each power transmission line may run, the unit rated capacity, the loading unit capacity and the forced outage probability of each unit included in each power transmission line; and according to the updated objective function, iteratively updating the initial local power shortage probability of each power transmission line through the foraging behavior, the clustering behavior and the rear-end collision behavior of the artificial fish swarm algorithm, obtaining and integrating the local power shortage probability of each power transmission line, and obtaining the local power shortage probability of the power system in the current state.
The specific method for selecting the optimal operation state from the plurality of operation states comprises the following steps:
combining the power transmission blocking management cost and the local power shortage probability of each operation state to obtain a characteristic sample of each operation state, inputting the characteristic sample of each operation state into a blocking management strategy decision model based on a probabilistic neural network, and taking the lowest power transmission blocking management cost and the lowest local power shortage probability as comprehensive evaluation indexes to obtain the operation state with the highest posterior probability as the optimal operation state.
In a second aspect of the present invention, a power system transmission blocking management system includes:
the first acquisition module is used for acquiring a plurality of operating states of the power system;
the second acquisition module is used for acquiring the transmission blocking management cost of each running state;
the third acquisition module is used for acquiring the local power shortage probability of the power system in each running state; and
and the power transmission blocking management module is used for selecting an optimal operation state from the plurality of operation states by taking the lowest power transmission blocking management cost and the lowest local power shortage probability as comprehensive evaluation indexes, and performing power transmission blocking management on the power system according to the optimal operation state.
In a third aspect of the present invention, a computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the above power system power transmission blocking management method when executing the computer program.
In a fourth aspect of the present invention, a computer-readable storage medium stores a computer program which, when executed by a processor, implements the steps of the above power system transmission congestion management method.
Compared with the prior art, the invention has the following beneficial effects:
the invention discloses a power transmission blocking management method of a power system, which comprises the steps of acquiring a plurality of operating states of the power system in advance, acquiring power transmission blocking management cost of the power system in each operating state, acquiring local power shortage probability of the power system in each operating state by taking the local power shortage probability as an index of the reliability of the power system on the basis, analyzing and knowing according to the operating state of a power transmission line of the power system, when the local power shortage probability is minimum, the reliability of the power system is highest, and finally, performing power transmission blocking management of the power system by taking the combination of the power transmission blocking management cost and the local power shortage probability representing the reliability of the power system as a comprehensive evaluation index, wherein the optimal power flow of the power system and the stability and reliability of the operation of the power transmission line can be considered, the reliability of the operation of each power transmission line is not considered when the current power transmission blocking of the power, the problem that although the optimal power flow is realized, the operation stability and reliability of each power transmission line are reduced after the power flow is transferred is easily caused, and the obtained power transmission blocking management power transmission management strategy of the power system can ensure the economical and reliable operation of the power system.
Drawings
Fig. 1 is a flow chart of a power system transmission blocking management method according to an embodiment of the present invention;
fig. 2 is a flow chart of a method for determining a local power shortage probability of an electric power system based on an artificial fish swarm algorithm according to an embodiment of the invention;
fig. 3 is a schematic structural diagram of a block management policy decision model according to an embodiment of the present invention;
fig. 4 is a block diagram of a power system transmission blocking management system according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
First, several technical terms involved in the embodiments of the present invention are further explained herein.
Electric power blockage: the blocking refers to the fact that the requirement of power transmission is greater than the actual physical transmission capacity of the power transmission network, and can be divided into transmission resistance blocks in regions and transmission resistance blocks between regions according to different places where the blocking occurs, and the root cause of the blocking is power generation and power transmission imbalance in different regions.
And (3) transmission blocking management: congestion management is the treatment and method taken in the presence of network congestion. The main purpose of transmission congestion management is to coordinate users of the transmission junctor between areas and to efficiently manage the transmission plan of the junctor so as to make the most use of system resources and achieve socioeconomic performance.
The artificial fish school algorithm comprises the following steps: the artificial fish swarm algorithm is a bionic optimization scheme which is inspired and elucidated by various moving seeking characteristics expressed in the phenomenon that fishes seek food in Lei-Dai of Shandong university in 2002, and simulates the actions of foraging, clustering and rear-end collision of fish swarms by constructing artificial fishes so as to realize optimization.
The invention is described in further detail below with reference to the accompanying drawings:
referring to fig. 1, in an embodiment of the present invention, a power transmission blocking management method for a power system is provided, where a power transmission blocking management cost and a reliability index of the power system in each operating state are obtained, and a local power shortage probability is used as the reliability index. In order to determine the optimal power transmission blocking management strategy, the lowest operating cost of a circuit system and the highest operating reliability of a power system are used as comprehensive evaluation indexes, and an optimized tidal current operating mode is determined, so that the power system can operate safely and reliably. Specifically, the power system power transmission blocking management method comprises the following steps.
S1: a number of operating states of the power system are obtained.
Specifically, in this embodiment, the plurality of operating states of the power system mainly refer to a set of output of each unit in the power system under the load requirement of the power system, and the plurality of operating states of the power system can be obtained by enabling each unit to bear different outputs.
In this embodiment, a specific method for acquiring a plurality of operating states of the power system includes: according to the load requirement of the power system, the output of each unit in the power system is randomly set based on the operation constraint of the power system and the output range of each unit in the power system, and a plurality of operation states of the power system are obtained.
Preferably, the power system operating constraints include power system balance constraints, genset output constraints, power transmission channel capacity constraints, and bus voltage angular offset constraints.
Wherein, the power system balance constraint comprises active and reactive power balance, and the mathematical model thereof can be expressed as:
wherein, i is 1,2,3 … … n, n represents the total number of transmission lines of the power system, gamma is the load margin, and P isG,i、QG,iActive power, reactive power, P, of the ith unitL,i、QL,iActive power and reactive power of the ith bus, Ui and UjDenotes the ith, jth bus voltage, GijIs the conductance of line ij, BijFor line ij admittance, (delta)i-δj) Phase angle difference of line ij.
The output constraint of the generator set is that the active power, the reactive power and the voltage amplitude of each generator set in the power system are all constrained within the specified limit values, and the mathematical model can be expressed as follows:
wherein, UG,iAnd the voltage amplitude of the ith generating set.
The transmission channel capacity constraint takes into account the line voltage and thermal stability constraints, whose mathematical model can be expressed as:
wherein S isijIn order to be a line flow,
is the thermal stability constraint of the connecting line between the bus i and the bus j; beta is aLIs the state of the line L. When the line is open, there is no power transfer on the line.
The bus voltage phase angle offset constraints are constrained by considering the voltage phase angle to limit the phase angle offset for each bus voltage as follows:
wherein, deltakThe phase angle offset of each bus is limited to + -10 deg. for the phase angle of the kth bus.
S2: and acquiring the transmission blocking management cost of the power system in each running state.
Specifically, in this embodiment, the minimum scheduling cost of the power system is obtained according to the load demand of the power system and the quotation information of each unit in the power system; obtaining the scheduling cost of the power system in each running state according to the quotation information of each unit in the power system and the running state of the power system; and taking the difference between the dispatching cost of the power system in each running state and the minimum dispatching cost of the power system as the transmission blocking management cost of the power system in each running state.
Assuming that the load of the power system is not reduced during power dispatching, the transmission congestion management cost of the power system in each operating state is obtained as follows:
ΔC＝C1-C0
where Δ C represents the transmission blocking management cost of the power system, C0、C1The scheduling cost before and after the blocking is respectively, and when the transmission blocking management cost is the lowest, the lowest system operation cost can be realized.
The minimum scheduling cost of the power system is obtained by the following method: a mathematical model is established as an objective function with a minimum clearing price without considering line transmission limit:
f＝Minλ0
the constraint conditions are as follows:
wherein λ is0Indicating a clearing price, P, irrespective of blockingj,0Is the net injected power at node j; plossThe total active power loss of the transmission line; c. Ci(.) is a power generation cost function of the unit i; pi,0Is the output of unit i, Pi,min，Pi，maxThe output upper and lower limit values of the unit i.
Therefore, the pre-blocking scheduling cost is obtainedC 0Namely, the minimum scheduling cost of the power system is:
C0＝∑ici(Pi,0)
when the output of the generating set is related to the power generation, the power transmitted by each line exceeds the limit value, the scheduling arrangement needs to be carried out again on the premise of considering the operation constraint of the power system, and a mathematical model is established by taking the lowest difference between the scheduling cost of the power system and the minimum scheduling cost of the power system in each operation state as an objective function:
f＝minC＝∑iΔCi
the constraint conditions are as follows:
wherein, Δ CiFor the scheduling cost, P, of unit iLActive power transmitted for the line L, the upper limit of its transmission being PL,maxAnd (4) showing.
By solving the model, the output P of each generator set is obtainedi,1And then, solving the blocking scheduling cost according to the objective function model. Therefore, after acquiring a plurality of operating states of the power system, the blocking scheduling cost of the power system in each operating state can be obtained according to the model.
S3: and acquiring the local power shortage probability of the power system in each running state.
When the power system reliability is considered as a target, a local power shortage Probability (Loss of Load Probability) which is an index of the power system reliability is used as an evaluation criterion. According to the analysis of the running state of the transmission lines of the power system, the situation of power failure possibly exists in each transmission line, and when the probability of local power shortage is minimum, the reliability of the power system is highest. The local power shortage probability is represented by kappa, and the highest operation strategy of the operation reliability of the kappa system based on the local power shortage probability is constructed according to the distribution of the power transmission lines of the power system
κiThe reliability index of the ith line is indicated.
Specifically, in this embodiment, the local power shortage probability of the power system in each operating state is obtained through an artificial fish school algorithm. The artificial fish swarm algorithm is a bionic optimization scheme which is inspired and elucidated by various moving seeking characteristics expressed in the phenomenon that fish seek food in 2002 and is Li Xiaoepiu by the assistant professor of Shandong university, and the algorithm simulates the actions of foraging, gathering and rear-end collision of fish swarms by constructing artificial fish so as to realize the seeking optimization.
In order to realize real-time and rapid determination of the local power shortage probability of the power system in each operating state, the method for determining the local power shortage probability of the power system based on the artificial fish swarm algorithm is provided, and comprises the following steps of taking each operating state as the current operating state respectively to obtain the local power shortage probability of the power system in each operating state: generating random initial local power shortage probability by adopting a random number principle for each power transmission line in a power system in a current operation state; establishing an updating objective function of an artificial fish swarm algorithm based on the initial local power shortage probability of each power transmission line, the load which each power transmission line may run, the unit rated capacity, the loading unit capacity and the forced outage probability of each unit included in each power transmission line; and according to the updated objective function, iteratively updating the initial local power shortage probability of each power transmission line through the foraging behavior, the clustering behavior and the rear-end collision behavior of the artificial fish swarm algorithm, obtaining and integrating the local power shortage probability of each power transmission line, and obtaining the local power shortage probability of the power system in the current state.
Specifically, referring to fig. 2, i is the number of fish schools, m represents the scale of the fish schools, the larger m is, the stronger the ability to jump out of the local optimal solution is, and the faster the convergence speed is, but the larger m is, the larger the calculation amount is, the burden on the system is increased, and therefore, the scale of the fish schools must be reduced as much as possible on the premise of ensuring the convergence; s represents an iteration step length, and the convergence speed of the artificial fish school is corrected by adjusting S; v represents the visual field of the artificial fish, and the larger the visual field is, the easier the artificial fish finds the globally optimal solution and converges; n represents the repeated times of foraging of the artificial fish, the larger N is, the stronger the foraging behavior capacity of the artificial fish is, and the higher the convergence efficiency is; δ represents the artificial fish school crowdedness factor, and M, M _ max represents the fish school iteration number and the maximum iteration number. The method for determining the local power shortage probability of the power system based on the artificial fish swarm algorithm comprises the following steps:
s301: and setting the fish school scale M, the step length S, the crowding factor delta, the repetition times N, the artificial fish vision V, the fish school iteration times M and the maximum iteration times M _ max by adopting a fixed parameter method.
S302: calculating the adaptability of the initial fish population at [0, 1%]Random number principle is adopted in the range, and random initial local power shortage probability kappa is generated for the power transmission line LL＝{κL,1，κL,2，…，κL,i，…，κL,mAs an initial value of fish population, kL,iIs a randomly generated fish shoal state.
S303: and evaluating each individual, updating each behavior state by executing artificial fish foraging behavior, herding behavior and rear-end collision behavior, comparing with the bulletin board, and replacing if the behavior state is better than the bulletin board to generate a new fish herd. Foraging behavior: let artificial fish current state kappaL,iRandomly selecting a state k within its field of viewL,j：
Wherein the rand () function is a random number that generates 0 to 1.
Separately calculate kappaL,i、κL,jIs an objective function Yi＝f(κL,i)、Yj＝f(κL,j) Wherein the objective function is the rated capacity P of each unit of a systemmaxLoad unit capacity P, forced outage probabilityrAnd the load P of the possible operation of the transmission lineLThe comprehensive indexes of (2):
if Y isj＞YiThen κ isL,iTo kappaL,jThe direction is moved by one step, namely:
otherwise, κL,iContinue to select the next state k in its field of viewL,j. Judging whether a forward condition is met, after N times of trial, if the requirement is not met, then:
updating the state of fish flocks produced by foraging
Yne xt1The value of the objective function when foraging at last.
Clustering behavior:
defining the distance between the artificial fish swarm individuals as dij＝|κL,i-κL,jL. Searching for the current field of view of the artificial fish (d)ij< V) partner number n and center position κL,cIf Y isc/n＞δYiThen κ isL,iMoving one step to the central position:
updating fish shoal status due to herding behavior
Ynext2Is the objective function of the last foraging.
And (3) rear-end collision behavior: searching for the current field of view of the artificial fish (d)ij< V) Y with the largest objective functionjOptimal partner kappaL,jIf Y isj/n＞δYiThen κ isL,iMoving one step to the central position:
updating fish shoal status due to rear-end collision
Ynext3Is the objective function of the last foraging.
S304: the maximum value of the objective function obtained according to the three types of behaviors is the current optimal state kL,nextUpdating fish school kappaL,i＝κL,next。
S305: adding 1 to the fish school number in each circulation, judging whether the current fish school number reaches the total number m of the artificial fish schools or whether the error meets the requirement, and if the requirement is not met, re-executing the foraging behavior, the herding behavior and the rear-end collision behavior of the artificial fish; and if the requirement is met, updating the iteration times.
S306: gradually increasing the fish school iteration times, judging whether the fish school iteration times reach the maximum limit, and if so, outputting the last updated fish school state as the optimal solution; otherwise, the initial number of the fish school is updated to be 1 again, and the steps are repeatedly executed.
Through the steps, the local power shortage probability of the power system in each running state is obtained in real time and rapidly.
S4: and selecting an optimal operation state from the plurality of operation states by taking the lowest transmission blocking management cost and the lowest local power shortage probability as comprehensive evaluation indexes, and performing transmission blocking management on the power system according to the optimal operation state. In this embodiment, the power transmission blocking management cost and the local power shortage probability of each operating state are combined to obtain a feature sample of each operating state, the feature sample of each operating state is input to a blocking management strategy decision model based on a probabilistic neural network, and the operating state with the maximum posterior probability is obtained as an optimal operating state by taking the lowest power transmission blocking management cost and the lowest local power shortage probability as comprehensive evaluation indexes.
Specifically, the sample feature vector X ═ X is constructed by using the above-mentioned system operation cost and power system operation reliability index as feature parameters1，x2，……，xi，……，xn]Wherein x isiMapping the power transmission blocking management cost and the local power shortage probability to a state space, and constructing a system based on the probabilityAnd (3) realizing optimized power flow distribution by using a block management strategy decision model of the rate neural network.
Referring to fig. 3, the probabilistic neural network-based block management strategy decision model is composed of an input layer, a mode layer, a summation layer, and an output layer.
The input layer is used as the first layer of the network, the task of the input layer is to transfer sample vectors to a mode layer, the input vector is used as a node to carry out weighted summation on the input vector, the second layer mode layer is a radial base layer, and the layer calculates the value input by the input layer through an activation function and then uses the value as the input value of the next layer. The activation function adopts a Gaussian function, and the probability of the j-th neuron output of the ith class of the layer is as follows:
where d represents the sample vector dimension, here 2; σ is a smoothing factor, taking the width of the bell curve at the midpoint of the sample point, XijIs the jth center vector of class i.
The third layer is a summation layer which carries out weighted average on the probability density of the neurons of the same kind of input vectors in the mode layer to obtain the estimated probability density of each kind of input vectors:
wherein L isiIndicating the number of class i sample vectors.
The last layer is an output layer which is a decision layer based on Bayes decision criterion, and the class with the maximum posterior probability is selected as the actual classification result of the sample.
The Bayes decision criterion, without considering the condition of sample false decision, is to determine the probability that for all i ≠ j:
P(yi|X)＞P(yj|X)X∈yi
i.e. the output result is of the class with the maximum a posteriori probability, i.e. the output resultY＝yi(ii) a Otherwise Y is equal to Yj。
For a certain sample vector X ═ X1，x2……xn]Assume that the state type is Y ═ Y1，y2……ym]. According to the probability theory, the posterior probability P (y)i| X) is:
wherein, P (X | y)i)、P(yi) Respectively, a class conditional probability density function and a prior probability. For unknown classification decisions, the prior probability is determined empirically in the past, and the class-conditional probability density function can be estimated by means of the Parzen function as follows:
first, a sample feature vector X is set to [ X ]1，x2，……，xi，……，xn]Randomly selecting the first 100 groups of calculated system operation cost and power system operation reliability indexes as training samples of a decision model, inputting the training samples into a probabilistic neural network-based block management strategy decision model to train the model, and correcting a smoothing factor to obtain a final probabilistic neural network-based block management strategy decision model; and then, randomly calculating a plurality of groups of sample characteristic vectors as test samples according to the real-time running condition of the system, inputting the test samples into a probabilistic neural network-based block management strategy decision model for solving, and testing the performance of the model. And finally, inputting the characteristic samples of each operation state into a block management strategy decision model based on a probabilistic neural network, and taking the lowest transmission block management cost and the lowest local power shortage probability as a comprehensive evaluation index to obtain the operation state with the maximum posterior probability as the optimal operation state.
Therefore, the method takes Bayes minimum risk decision rule as a feedforward network of the blocking management strategy model, establishes a decision model, trains and tests a characteristic sample consisting of transmission blocking management cost and local power shortage probability, determines an optimal operation state and optimizes the operation mode of the power system tide by taking the lowest transmission blocking management cost and the lowest local power shortage probability as comprehensive evaluation indexes.
In summary, the method for managing transmission blocking of an electric power system according to the present invention obtains a plurality of operation states of the electric power system in advance, and then obtains the minimum scheduling cost of the electric power system without considering transmission limit of the transmission line; and comprehensively considering constraint conditions of power system balance constraint, generator set output constraint, power transmission channel capacity constraint, busbar voltage angular offset constraint and the like of the power system, and when the output of the generator set participating in power generation enables the power transmitted by each power transmission line to exceed the limit value, on the premise of considering the power transmission limit of each power transmission line, performing scheduling arrangement again to obtain the scheduling cost of the power system in each operating state. On the basis, the local power shortage probability is taken as an index of the reliability of the power system, and according to the analysis of the running state of the power transmission lines of the power system, the situation of power failure of each power transmission line is probably known, and when the local power shortage probability is minimum, the reliability of the power system is highest. And finally, the combination of the transmission blocking management cost and the local power shortage probability representing the reliability of the power system is used as a comprehensive evaluation index to carry out transmission blocking management on the power system, the optimal power flow of the power system and the stability and reliability of the operation of the transmission line can be considered, and the obtained transmission blocking management transmission management strategy of the power system can ensure the economic and reliable operation of the power system.
Meanwhile, in order to realize the rapid calculation of the local power shortage probability, a scheme for determining the local power shortage probability of the power system based on the artificial fish school algorithm is provided, and the determination speed of the local power shortage probability is effectively improved.
The following are embodiments of the apparatus of the present invention that may be used to perform embodiments of the method of the present invention. For details of non-careless mistakes in the embodiment of the apparatus, please refer to the embodiment of the method of the present invention.
Referring to fig. 4, in a further embodiment of the present invention, a power system transmission blocking management system is provided, which can be used to implement the above power system transmission blocking management method.
The first acquisition module is used for acquiring a plurality of operating states of the power system; the second acquisition module is used for acquiring the transmission blocking management cost of each running state; the third acquisition module is used for acquiring the local power shortage probability of the power system in each running state; and the power transmission blocking management module is used for selecting an optimal operation state from the plurality of operation states by taking the lowest power transmission blocking management cost and the lowest local power shortage probability as comprehensive evaluation indexes, and performing power transmission blocking management on the power system according to the optimal operation state.
According to the power system transmission blocking management system, a first obtaining module is used for obtaining a plurality of operation states of a power system, a second obtaining module is used for obtaining transmission blocking management cost of each operation state, a third obtaining module is used for obtaining local power shortage probability of the power system in each operation state, the transmission blocking management module takes the lowest transmission blocking management cost and the lowest local power shortage probability as comprehensive evaluation indexes, the optimal operation state is selected from the plurality of operation states, and transmission blocking management of the power system is carried out according to the optimal operation state. The transmission blocking management module takes the combination of the transmission blocking management cost and the local power shortage probability representing the reliability of the power system as a comprehensive evaluation index to carry out transmission blocking management on the power system, the optimal power flow of the power system and the stability and reliability of the operation of the transmission line can be considered, and the obtained transmission blocking management transmission management strategy of the power system can ensure the economical and reliable operation of the power system.
In yet another embodiment of the present invention, a terminal device is provided that includes a processor and a memory for storing a computer program comprising program instructions, the processor being configured to execute the program instructions stored by the computer storage medium. The Processor may be a Central Processing Unit (CPU), or may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable gate array (FPGA) or other Programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, etc., which is a computing core and a control core of the terminal, and is adapted to implement one or more instructions, and is specifically adapted to load and execute one or more instructions to implement a corresponding method flow or a corresponding function; the processor provided by the embodiment of the invention can be used for the operation of the power system transmission blocking management method, and comprises the following steps: acquiring a plurality of operating states of the power system; acquiring the transmission blocking management cost of the power system in each running state; acquiring local power shortage probability of the power system in each running state; and selecting an optimal operation state from the plurality of operation states by taking the lowest transmission blocking management cost and the lowest local power shortage probability as comprehensive evaluation indexes, and performing transmission blocking management on the power system according to the optimal operation state.
In still another embodiment of the present invention, the present invention further provides a storage medium, specifically a computer-readable storage medium (Memory), which is a Memory device in a terminal device and is used for storing programs and data. It is understood that the computer readable storage medium herein may include a built-in storage medium in the terminal device, and may also include an extended storage medium supported by the terminal device. The computer-readable storage medium provides a storage space storing an operating system of the terminal. Also, one or more instructions, which may be one or more computer programs (including program code), are stored in the memory space and are adapted to be loaded and executed by the processor. It should be noted that the computer-readable storage medium may be a high-speed RAM memory, or may be a non-volatile memory (non-volatile memory), such as at least one disk memory.
One or more instructions stored in a computer-readable storage medium may be loaded and executed by a processor to perform the corresponding steps of the above embodiments with respect to the power system transmission congestion management method; one or more instructions in the computer-readable storage medium are loaded by the processor and perform the steps of: acquiring a plurality of operating states of the power system; acquiring the transmission blocking management cost of the power system in each running state; acquiring local power shortage probability of the power system in each running state; and selecting an optimal operation state from the plurality of operation states by taking the lowest transmission blocking management cost and the lowest local power shortage probability as comprehensive evaluation indexes, and performing transmission blocking management on the power system according to the optimal operation state.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. A method for power system transmission congestion management, comprising the steps of:
acquiring a plurality of operating states of the power system;
acquiring the transmission blocking management cost of the power system in each running state;
acquiring local power shortage probability of the power system in each running state;
and selecting an optimal operation state from the plurality of operation states by taking the lowest transmission blocking management cost and the lowest local power shortage probability as comprehensive evaluation indexes, and performing transmission blocking management on the power system according to the optimal operation state.
2. The method according to claim 1, wherein the operating state includes power output of each unit in the power system, and the specific method for acquiring the plurality of operating states of the power system includes:
and obtaining a plurality of operating states of the power system according to the load demand of the power system, based on the operation constraint of the power system and the output range of each unit in the power system and the output of each unit in the power system in the previous day.
3. The power system transmission blockage management method of claim 2 wherein said power system operating constraints comprise power system balance constraints, genset output constraints, transmission channel capacity constraints, and bus voltage phase angle offset constraints.
4. The method according to claim 1, wherein the specific method for obtaining the transmission congestion management cost of the power system in each operating state is as follows:
obtaining the minimum dispatching cost of the power system according to the load demand of the power system and the quotation information of each unit in the power system;
obtaining the blocking scheduling cost of the power system in each running state according to the quotation information of each unit in the power system and the running state of the power system;
and taking the difference value between the blocking scheduling cost of the power system in each running state and the minimum scheduling cost of the power system as the transmission blocking management cost of the power system in each running state.
5. The method according to claim 1, wherein the specific method for acquiring the local power shortage probability of the power system in each operating state is as follows:
and acquiring the local power shortage probability of the power system in each running state through an artificial fish swarm algorithm.
6. The power system transmission blocking management method according to claim 5, wherein the specific method for obtaining the local power shortage probability of the power system in each operating state through the artificial fish swarm algorithm comprises the following steps:
and taking each operation state as the current operation state respectively to perform the following steps to obtain the local power shortage probability of the power system in each operation state:
generating random initial local power shortage probability by adopting a random number principle for each power transmission line in a power system in a current operation state;
establishing an updating objective function of an artificial fish swarm algorithm based on the initial local power shortage probability of each power transmission line, the load which each power transmission line may run, the unit rated capacity, the loading unit capacity and the forced outage probability of each unit included in each power transmission line;
and according to the updated objective function, iteratively updating the initial local power shortage probability of each power transmission line through the foraging behavior, the clustering behavior and the rear-end collision behavior of the artificial fish swarm algorithm, obtaining and integrating the local power shortage probability of each power transmission line, and obtaining the local power shortage probability of the power system in the current state.
7. The method according to claim 1, wherein the specific method for selecting the optimal operating state from the plurality of operating states is:
combining the power transmission blocking management cost and the local power shortage probability of each operation state to obtain a characteristic sample of each operation state, inputting the characteristic sample of each operation state into a blocking management strategy decision model based on a probabilistic neural network, and taking the lowest power transmission blocking management cost and the lowest local power shortage probability as comprehensive evaluation indexes to obtain the operation state with the highest posterior probability as the optimal operation state.
8. A power system transmission blockage management system, comprising:
the first acquisition module is used for acquiring a plurality of operating states of the power system;
the second acquisition module is used for acquiring the transmission blocking management cost of each running state;
the third acquisition module is used for acquiring the local power shortage probability of the power system in each running state; and
and the power transmission blocking management module is used for selecting an optimal operation state from the plurality of operation states by taking the lowest power transmission blocking management cost and the lowest local power shortage probability as comprehensive evaluation indexes, and performing power transmission blocking management on the power system according to the optimal operation state.
9. A computer arrangement comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor when executing the computer program realizes the steps of the power system power transmission blockage management method according to any of the claims 1 to 7.
10. A computer-readable storage medium, having a computer program stored thereon, which, when being executed by a processor, carries out the steps of the power system power transmission blockage management method according to any one of claims 1 to 7.
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