CN115378041B - Power distribution network optimization method and system, power distribution network, equipment and medium - Google Patents
Power distribution network optimization method and system, power distribution network, equipment and medium Download PDFInfo
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Abstract
The invention provides a power distribution network optimization method, a power distribution network optimization system, a power distribution network, equipment and a medium, wherein the method comprises the steps of performing injection current source equivalent calculation on distributed energy sources and an energy storage system in the power distribution network to obtain first operation parameters corresponding to the distributed energy sources and second operation parameters corresponding to the energy storage system; setting a plurality of optimization targets corresponding to the power distribution network according to the first operation parameter, the second operation parameter and the topological structure of the power distribution network; and setting objective functions and/or constraint conditions corresponding to the optimization objectives, solving the objective functions according to a power distribution network optimization algorithm to determine a power distribution network optimization strategy, and adjusting the optimization configuration of the energy storage system according to the power distribution network optimization strategy, wherein the power distribution network optimization algorithm is used for solving the optimal solution of the objective functions. The method can comprehensively and systematically analyze all factors influencing the optimization of the power distribution network, and find the optimal solution from a plurality of solutions, thereby ensuring that the optimization strategy of the power distribution network is the most in line with the current optimization strategy of the power distribution network.
Description
Technical Field
The invention relates to the technical field of power distribution networks, in particular to a power distribution network optimization method, a power distribution network optimization system, power distribution networks, equipment and a medium.
Background
The existing methods for energy storage and pressure regulation are generally classified into centralized control, distributed control and distributed control methods. The centralized method can realize accurate control of energy storage, but the centralized method needs all information of the whole network, thereby greatly invading the privacy and safety of each node in the power grid, and has high requirements on the computing capacity of the centralized control central controller. Decentralized control requires only local information of the nodes, but it cannot fully utilize the resources of the entire network to smooth out voltage fluctuations, since the information is limited. And distributed control means that autonomous agents in the network realize a cooperative target by using local information and partial information exchange with neighbors of the autonomous agents, compared with a centralized control method, the distributed control ensures the privacy of each agent, obviously reduces the data volume of each agent, improves the calculation efficiency and fully utilizes controllable resources in the network.
Disclosure of Invention
The embodiment of the invention provides a power distribution network optimization method, a power distribution network optimization system, power distribution networks, equipment and a medium, which can at least solve the problem that the prior art cannot realize high-efficiency power distribution network optimization.
In a first aspect of an embodiment of the present invention,
the power distribution network optimization method comprises the following steps:
performing injection current source equivalent calculation on distributed energy sources and an energy storage system in a power distribution network to obtain a first operating parameter corresponding to the distributed energy sources and a second operating parameter corresponding to the energy storage system;
setting a plurality of optimization targets corresponding to the power distribution network according to the first operation parameter, the second operation parameter and the topological structure of the power distribution network;
and setting an objective function and/or a constraint condition corresponding to the optimization targets, solving the objective function according to a power distribution network optimization algorithm to determine a power distribution network optimization strategy, and adjusting the optimization configuration of the energy storage system according to the power distribution network optimization strategy, wherein the power distribution network optimization algorithm is used for solving the optimal solution of the objective function.
In an alternative embodiment of the method according to the invention,
the plurality of optimization objectives comprises a first optimization objective for indicating reactive voltage control stability of the power distribution network, and the method for setting the objective function and/or the constraint condition corresponding to the plurality of optimization objectives comprises the following steps:
setting the first optimization target corresponding to the method shown in the following formula
A first objective function:
wherein the content of the first and second substances,L ij the reactive voltage control stability is represented and,
representing the end node of an incoming branchjThe active power of the power converter is set,
representing branchesijThe reactance of (a) is set to be,
indicating the ingress leg end nodejThe reactive power of (a) is,
representing branchesijThe resistance of (2) is set to be,
representing branch head end nodesiThe voltage of (a);
the first constraint condition is:
wherein, the first and the second end of the pipe are connected with each other,
representing nodesiThe injected active and reactive power is used for controlling the power,
representing distributed energy injection nodesiThe active power and the reactive power of the power converter,
representing nodeskThe magnitude of the voltage is such that,
representing branchesikThe real and imaginary parts of the admittance are,
representing branchesikPhase angle difference of two end nodes, nodekRepresenting all AND nodesiA connected node.
In an alternative embodiment of the method according to the invention,
the plurality of optimization objectives includes a second optimization objective for indicating the operation stability of the power distribution network, and the method for setting the objective function and/or the constraint condition corresponding to the plurality of optimization objectives further includes:
setting the second optimization target corresponding to the method shown in the following formula
A second objective function:
wherein the content of the first and second substances,Fthe operational stability of the power distribution network is indicated,
which is indicative of the expected value of the network loss,
indicating a voltage out-of-limit risk expected value,
indicating the expected value of the risk of line overload,
indicating an accident
Is constrained by the probability of (a) being,
indicating an accident
The result of this is that,
is shown asjN-1 accidents;
the second constraint condition is as follows:
wherein the content of the first and second substances,
respectively representiThe corresponding active output and reactive output of each distributed energy source,
respectively represent
The lower limit and the upper limit of (c),
respectively represent
The lower and upper limits of (c).
In an alternative embodiment of the method according to the invention,
the plurality of optimization objectives includes a third optimization objective for indicating the voltage quality of the energy storage system, and the method for setting the objective function and/or the constraint condition corresponding to the plurality of optimization objectives further includes:
setting the third optimization target according to the method shown in the following formula
A third objective function:
wherein the content of the first and second substances,I vp-i indicating the voltage index of the i-th node,V i indicating the magnitude of the voltage at the ith node,V n which is representative of the nominal value of the node voltage,V max、 V min which represents the upper and lower limit values of the node voltage,P i indicates the injected power of the ith node,Mrepresenting the number of nodes of the feeder.
In an alternative embodiment of the method according to the invention,
the plurality of optimization objectives includes a fourth optimization objective for indicating power regulation capability of the energy storage system, and the method for setting the objective function and/or the constraint condition corresponding to the plurality of optimization objectives further includes:
setting the fourth optimization target corresponding to the method shown in the following formula
A fourth objective function:
wherein the content of the first and second substances,
denotes the firstjThe energy storage system is in phasepThe charging and discharging power of (2) is,
denotes the firstjThe energy storage system is in phasepThe energy of the stored energy of (a) is,
denotes the firstjAn energy storage system in stageswThe energy of the stored energy of (a) is,
representing the time difference.
In an alternative embodiment of the method according to the invention,
the method for determining the power distribution network optimization strategy by solving the objective function according to the power distribution network optimization algorithm comprises the following steps:
initializing the structural parameters of the power distribution network and the control parameters of the power distribution network optimization algorithm; randomly initializing particle positions in a preset decision variable feasible region, and randomly initializing particle speeds;
narrowing the feasible domains of the objective functions corresponding to the optimization objectives, updating the adaptive values corresponding to the objective functions, and updating the individual optimal values, the global optimal values and the non-dominated solution sets;
merging the h generation non-dominated solution set and h +1 generation individuals, and screening out the individuals which do not meet the preset requirements through a crowding degree method if the population scale after merging is larger than a preset threshold;
and judging whether a preset iteration stop condition is met, if so, jumping out of the loop, otherwise, increasing the iteration times, continuously performing iteration updating until the preset iteration stop condition is met, and taking the obtained optimal solution as a power distribution network optimization strategy.
In a second aspect of an embodiment of the present invention,
provided is a power distribution network optimization system, including:
the device comprises a first unit, a second unit and a third unit, wherein the first unit is used for performing injection current source equivalent calculation on distributed energy sources and an energy storage system in a power distribution network to obtain a first operating parameter corresponding to the distributed energy sources and a second operating parameter corresponding to the energy storage system;
the second unit is used for setting a plurality of optimization targets corresponding to the power distribution network according to the first operation parameters, the second operation parameters and the topological structure of the power distribution network;
and the third unit is used for setting objective functions and/or constraint conditions corresponding to the optimization objectives, solving the objective functions according to a power distribution network optimization algorithm to determine a power distribution network optimization strategy, and adjusting the optimization configuration of the energy storage system according to the power distribution network optimization strategy, wherein the power distribution network optimization algorithm is used for solving the optimal solution of the objective functions.
In an alternative embodiment of the method according to the invention,
the second unit is further configured to:
the plurality of optimization objectives comprises a first optimization objective for indicating reactive voltage control stability of the power distribution network, and the method for setting the objective function and/or the constraint condition corresponding to the plurality of optimization objectives comprises the following steps:
setting the first optimization target corresponding to the method shown in the following formula
A first objective function:
wherein the content of the first and second substances,L ij indicating reactive voltage control stabilityThe qualitative results are obtained,
representing the end node of an incoming branchjThe active power of the power converter is set,
representing branchesijThe reactance of (a) is set to be,
indicating the ingress leg end nodejThe reactive power of (a) is,
representing branchesijThe resistance of (a) is set to be,
representing a branch head-end nodeiVoltage of (d);
the first constraint condition is:
wherein the content of the first and second substances,
representing nodesiThe injected active and reactive power is used for controlling the power,
representing distributed energy injection nodesiThe active power and the reactive power of the power converter,
representing nodeskThe magnitude of the voltage is such that,
representing branchesikThe real and imaginary parts of the admittance are,
representing branchesikPhase angle difference of two end nodes, nodekRepresenting all and nodesiA connected node.
In an alternative embodiment of the method according to the invention,
the second unit is further configured to:
the optimization objectives include a second optimization objective for indicating the operation stability of the power distribution network, and the method for setting the objective functions and/or constraints corresponding to the optimization objectives further includes:
setting the second optimization target corresponding to the method shown in the following formula
A second objective function:
wherein the content of the first and second substances,Fthe operational stability of the power distribution network is indicated,
which is indicative of an expected value of network loss,
indicating a voltage out-of-limit risk expected value,
indicating the expected value of the risk of line overload,
indicating an accident
Is constrained by the probability of (a) being,
indicating an accident
The result of this is that,
is shown asjN-1 accidents;
the second constraint condition is as follows:
wherein the content of the first and second substances,
respectively represent the firstiThe corresponding active output and reactive output of each distributed energy source,
respectively represent
The lower limit and the upper limit of (c),
respectively represent
Lower and upper limits of.
In an alternative embodiment of the method according to the invention,
the second unit is further configured to:
the plurality of optimization objectives includes a third optimization objective for indicating the voltage quality of the energy storage system, and the method for setting the objective function and/or the constraint condition corresponding to the plurality of optimization objectives further includes:
setting the third optimization target corresponding to the method shown in the following formula
A third objective function:
wherein, the first and the second end of the pipe are connected with each other,I vp-i indicating the voltage index of the i-th node,V i indicating the magnitude of the voltage at the ith node,V n which is representative of the node voltage rating and,V max、 V min which represents the upper and lower limit values of the node voltage,P i indicates the injected power of the ith node,Mrepresenting the number of nodes of the feeder.
In an alternative embodiment of the method according to the invention,
the second unit is further configured to:
the plurality of optimization objectives includes a fourth optimization objective for indicating power regulation capability of the energy storage system, and the method for setting the objective functions and/or constraints corresponding to the plurality of optimization objectives further includes:
setting the fourth optimization target corresponding to the method shown in the following formula
A fourth objective function:
wherein the content of the first and second substances,
is shown asjAn energy storage system in stagespThe charging and discharging power of (2) is,
is shown asjAn energy storage system in stagespThe energy of the stored energy of (a) is,
is shown asjAn energy storage system in stageswThe energy of the stored energy of (a) is,
representing the time difference.
In an alternative embodiment of the method according to the invention,
the third unit is further configured to:
initializing the structural parameters of the power distribution network and the control parameters of the power distribution network optimization algorithm; randomly initializing particle positions in a preset decision variable feasible region and randomly initializing particle speeds;
narrowing the feasible domains of the objective functions corresponding to the optimization objectives, updating the adaptive values corresponding to the objective functions, and updating the individual optimal values, the global optimal values and the non-dominated solution sets;
merging the h generation non-dominated solution set and h +1 generation individuals, and screening out the individuals which do not meet the preset requirements through a crowding degree method if the population scale after merging is larger than a preset threshold;
and judging whether a preset iteration stop condition is met, if so, jumping out of the loop, otherwise, increasing the iteration times, continuously performing iteration updating until the preset iteration stop condition is met, and taking the obtained optimal solution as a power distribution network optimization strategy.
In a third aspect of an embodiment of the present invention,
there is provided an apparatus comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to invoke the memory-stored instructions to perform the aforementioned method.
In a fourth aspect of an embodiment of the present invention,
there is provided a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the method as described above.
In a fifth aspect of an embodiment of the present invention,
an electric distribution network is provided, and the electric distribution network comprises the electric distribution network optimization system.
The invention provides a power distribution network optimization method, which comprises the following steps:
performing injection current source equivalent calculation on distributed energy sources and an energy storage system in a power distribution network to obtain a first operating parameter corresponding to the distributed energy sources and a second operating parameter corresponding to the energy storage system;
setting a plurality of optimization targets corresponding to the power distribution network according to the first operation parameter, the second operation parameter and the topological structure of the power distribution network;
and setting objective functions and/or constraint conditions corresponding to the optimization objectives, solving the objective functions according to a power distribution network optimization algorithm to determine a power distribution network optimization strategy, and adjusting the optimization configuration of the energy storage system according to the power distribution network optimization strategy, wherein the power distribution network optimization algorithm is used for solving the optimal solution of the objective functions.
The method determines a power distribution network optimization strategy by setting a plurality of optimization targets corresponding to the power distribution network and setting a target function corresponding to the optimization targets, and ensures that the power distribution network controls the operation states of elements such as distributed power supplies in the power distribution network according to an actual optimal power distribution network planning strategy; in addition, the optimization target of the method covers a plurality of important aspects in the actual operation process of the power distribution network, can comprehensively and systematically analyze all factors influencing the optimization of the power distribution network, and finds the optimal solution from a plurality of solutions to ensure that the optimization strategy of the power distribution network is the most in line with the current optimization strategy of the power distribution network.
Drawings
Fig. 1 is a schematic flow chart of a power distribution network optimization method according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of solving the objective function to determine a power distribution network optimization strategy according to a power distribution network optimization algorithm in the embodiment of the present invention;
fig. 3 is a schematic structural diagram of a power distribution network optimization system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 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.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, 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.
It should be understood that, in the various embodiments of the present invention, the sequence numbers of the processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
It should be understood that in the present application, "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.
It should be understood that, in the present invention, "a plurality" means two or more. "and/or" is merely an association describing an associated object, meaning that three relationships may exist, for example, and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "comprising a, B and C", "comprising a, B, C" means that all three of a, B, C are comprised, "comprising a, B or C" means comprising one of three of a, B, C, "comprising a, B and/or C" means comprising any 1 or any 2 or 3 of three of a, B, C.
It should be understood that in the present invention, "B corresponding to a", "a corresponds to B", or "B corresponds to a" means that B is associated with a, and B can be determined from a. Determining B from a does not mean determining B from a alone, but may be determined from a and/or other information. And the matching of A and B means that the similarity of A and B is greater than or equal to a preset threshold value.
As used herein, the term "if" may be interpreted as "at \8230; …" or "in response to a determination" or "in response to a detection" depending on the context.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Fig. 1 is a schematic flow diagram of a power distribution network optimization method according to an embodiment of the present invention, and as shown in fig. 1, the method includes:
s101, performing equivalent calculation on an injection current source on distributed energy sources and an energy storage system in a power distribution network to obtain a first operation parameter corresponding to the distributed energy sources and a second operation parameter corresponding to the energy storage system;
illustratively, the first operating parameter corresponding to the distributed energy may include distribution of a distributed energy unit, the second operating parameter corresponding to the energy storage system may include energy storage energy, and the current source equivalence calculation may include establishing a model of equivalent injection current source real parts and imaginary parts of a plurality of active load nodes at time t, and solving active and reactive power and substation voltage of the plurality of active load nodes responding at time t through the model.
S102, setting a plurality of optimization targets corresponding to the power distribution network according to the first operation parameter, the second operation parameter and the topological structure of the power distribution network;
in an embodiment of the invention, the optimization objective may include a first optimization objective for indicating reactive voltage control stability of the power distribution network; a second optimization objective for indicating operational stability of the power distribution network; a third optimization target for indicating a voltage quality of the energy storage system; a fourth optimization objective for indicating a power regulation capability of the energy storage system. In the embodiment of the invention, a first optimization objective and a second optimization objective respectively correspond to a first objective function, a first constraint condition, a second objective function and a second constraint condition, a third optimization objective corresponds to a third objective function, and a fourth optimization objective corresponds to a fourth objective function.
In an alternative embodiment of the method according to the invention,
the plurality of optimization objectives comprises a first optimization objective for indicating reactive voltage control stability of the power distribution network, and the method for setting the objective function and/or the constraint condition corresponding to the plurality of optimization objectives comprises the following steps:
setting the first optimization target corresponding to the method shown in the following formula
A first objective function:
wherein the content of the first and second substances,L ij the reactive voltage control stability is represented and,
representing an ingress leg end nodejThe active power of the power converter is set,
representing branchesijThe reactance of (a) is set to be,
representing the end node of an incoming branchjThe reactive power of (a) is,
representing branchesijThe resistance of (a) is set to be,
representing a branch head-end nodeiVoltage of (d);
the first constraint condition is:
wherein the content of the first and second substances,
representing nodesiThe injected active and reactive power is used for controlling the power,
representing distributed energy injection nodesiThe active power and the reactive power of the power converter,
representing nodeskThe magnitude of the voltage is such that,
representing branchesikThe real and imaginary parts of the admittance are,
representing branchesikPhase angle difference of two end nodes, nodekRepresenting all and nodesiA connected node.
Illustratively, the index of the reactive voltage control stability of the embodiment of the present invention may include at least one of a voltage stability index, an all-day power consumption, a capacitor switching frequency, an automatic switching transformer tap action frequency, and an operation and maintenance cost. The constraint condition in the embodiment of the invention may include a voltage stability index. By analyzing the reactive voltage control stability, the problem of voltage continuous adjustment can be solved, the voltage of the capacitive reactive butt joint is raised, and the voltage of the inductive reactive butt joint is reduced.
In an alternative embodiment of the method according to the invention,
the optimization objectives include a second optimization objective for indicating the operation stability of the power distribution network, and the method for setting the objective functions and/or constraints corresponding to the optimization objectives further includes:
setting the second optimization target corresponding to the method shown in the following formula
A second objective function:
wherein the content of the first and second substances,Fthe operational stability of the power distribution network is indicated,
which is indicative of the expected value of the network loss,
indicating the voltage out-of-limit risk expected value,
indicating the expected value of the risk of line overload,
indicating an accident
Is constrained by the probability of (a) being,
indicating an accident
The result of this is that,
is shown asjN-1 accidents;
the second constraint condition is as follows:
wherein, the first and the second end of the pipe are connected with each other,
respectively representiThe corresponding active output and reactive output of each distributed energy source,
respectively represent
The lower limit and the upper limit of (c),
respectively represent
Lower and upper limits of.
Illustratively, a second objective of the embodiments of the present invention includes operation stability of the power distribution network, where the operation stability includes a change of system parameters, and a control parameter or operation scheduling scheme is feasible, for example, when system load or other uncertainty changes, a line does not exceed a limit in safety constraints such as power flow, node voltage, and the like. By analyzing the operation stability of the power distribution network, the safety constraints of the line such as power flow, node voltage amplitude, active power and reactive power of a power supply point can be guaranteed not to exceed the limit, and meanwhile, the operation economy of the power distribution network is optimized. The second constraint condition of the invention may comprise active power constraint and reactive power constraint of the balance node.
In an alternative embodiment of the method according to the invention,
the plurality of optimization objectives includes a third optimization objective for indicating the voltage quality of the energy storage system, and the method for setting the objective function and/or the constraint condition corresponding to the plurality of optimization objectives further includes:
setting the third optimization target corresponding to the method shown in the following formula
A third objective function:
wherein the content of the first and second substances,I vp-i indicating the voltage index of the i-th node,V i indicating the magnitude of the voltage at the ith node,V n which is representative of the nominal value of the node voltage,V max、 V min which represents the upper and lower limit values of the node voltage,P i indicates the injected power of the ith node,Mrepresenting the number of nodes of the feeder.
In practical application, the introduction of the energy storage system can suppress the influence of power fluctuation and irregular start and stop of the distributed energy sources on the voltage quality of the power distribution network. The embodiment of the invention takes the node voltage reflecting the quality of the node voltage and the feeder voltage reflecting the comprehensive voltage level of the feeder as the target function; optionally, a feeder line is introduced into the energy storage system, so that power can be sent out when the voltage exceeds a lower limit value, and the voltage amplitude of a node is increased; when the voltage is higher than the upper limit value, the power is absorbed, and the voltage of the out-of-limit point is reduced.
In an alternative embodiment of the method according to the invention,
the plurality of optimization objectives includes a fourth optimization objective for indicating power regulation capability of the energy storage system, and the method for setting the objective functions and/or constraints corresponding to the plurality of optimization objectives further includes:
setting the fourth optimization target corresponding to the method shown in the following formula
The fourth objective function:
wherein the content of the first and second substances,
is shown asjThe energy storage system is in phasepThe charging and discharging power of (2) is,
is shown asjThe energy storage system is in phasepThe energy of the stored energy of (a) is,
denotes the firstjAn energy storage system in stageswThe energy of the stored energy of (a) is,
representing the time difference.
Illustratively, the fourth optimization objective of the embodiment of the present invention is used to indicate the power regulation capability of the energy storage system, and by setting the objective function, it can be ensured that the discharge energy of the energy storage unit in the scheduling period is equal to the charging energy thereof, and the remaining energy of the energy storage unit is used as the energy storage position variable of the particle, and it can be ensured that the energy storage energy is not out of limit through the range limitation of the particle position, thereby avoiding the problem that the energy of the energy storage unit is out of limit due to position update when the charge and discharge power is directly used as the particle position variable.
S103, setting objective functions and/or constraint conditions corresponding to the optimization objectives, solving the objective functions according to a power distribution network optimization algorithm to determine a power distribution network optimization strategy, and adjusting the optimization configuration of the energy storage system according to the power distribution network optimization strategy, wherein the power distribution network optimization algorithm is used for solving the optimal solution of the objective functions.
For example, the power distribution network optimization algorithm according to the embodiment of the present invention may include an improved particle swarm optimization algorithm, and the embodiment of the present invention is only an exemplary description, and the specific type of the power distribution network optimization algorithm is not limited.
In an optional implementation manner, fig. 2 is a schematic flowchart of a process of determining a power distribution network optimization strategy by solving the objective function according to a power distribution network optimization algorithm in the embodiment of the present invention;
the method for solving the objective function according to the power distribution network optimization algorithm to determine the power distribution network optimization strategy comprises the following steps:
s201, initializing structural parameters of the power distribution network and control parameters of the power distribution network optimization algorithm; randomly initializing particle positions in a preset decision variable feasible region and randomly initializing particle speeds;
s202, narrowing the feasible regions of the objective functions corresponding to the optimization objectives, updating the adaptive values corresponding to the objective functions, and updating the individual optimal values, the global optimal values and the non-dominated solution sets;
s203, merging the h generation non-dominated solution set and h +1 generation individuals, and screening out the individuals which do not meet the preset requirements through a crowding degree method if the size of the merged population is larger than a preset threshold;
and S204, judging whether a preset iteration stopping condition is met, if so, jumping out of a loop, otherwise, increasing the iteration times, continuously performing iteration updating until the preset iteration stopping condition is met, and taking the obtained optimal solution as a power distribution network optimization strategy.
Illustratively, the embodiment of the present invention makes n elements called "particles" constitute a search population, the behavior of each particle is described by speed and position, and for the particles in the population, the behavior is influenced not only by the behavior of the particle itself, but also by the behaviors of other particles in the population. Specifically, an m-dimensional search space, an initial velocity vector and a position vector can be given, the particles search for the optimal positions in the history by themselves to realize individual cognitive learning, and the particles search for the optimal historical position information in the history to a group to realize social cognitive learning. According to the embodiment of the invention, on the basis of the particle swarm optimization, constraint conditions are strengthened, namely feasible regions of the objective functions corresponding to a plurality of optimization targets are reduced, and the adaptive values corresponding to the objective functions are updated, so that the optimal solution of the objective function corresponding to each optimization target is further reduced, individuals which do not accord with preset conditions are screened out through a crowding degree method, the global optimal solution can be obtained more efficiently, and the dilemma of falling into the local optimal solution can be effectively avoided.
The invention provides a power distribution network optimization method, which comprises the following steps:
performing injection current source equivalent calculation on distributed energy sources and an energy storage system in a power distribution network to obtain a first operating parameter corresponding to the distributed energy sources and a second operating parameter corresponding to the energy storage system;
setting a plurality of optimization targets corresponding to the power distribution network according to the first operation parameter, the second operation parameter and the topological structure of the power distribution network;
and setting an objective function and/or a constraint condition corresponding to the optimization targets, solving the objective function according to a power distribution network optimization algorithm to determine a power distribution network optimization strategy, and adjusting the optimization configuration of the energy storage system according to the power distribution network optimization strategy, wherein the power distribution network optimization algorithm is used for solving the optimal solution of the objective function.
The method determines a power distribution network optimization strategy by setting a plurality of optimization targets corresponding to the power distribution network and setting a target function corresponding to the optimization targets, and ensures that the power distribution network controls the operation states of elements such as distributed power supplies in the power distribution network according to an actual optimal power distribution network planning strategy; in addition, the optimization target of the method covers a plurality of important aspects in the actual operation process of the power distribution network, can comprehensively and systematically analyze all factors influencing the optimization of the power distribution network, and finds the optimal solution from a plurality of solutions to ensure that the optimization strategy of the power distribution network is the most in line with the current optimization strategy of the power distribution network.
Fig. 3 is a schematic structural diagram of a power distribution network optimization system according to an embodiment of the present invention, and as shown in fig. 3, a power distribution network optimization system is provided, including:
the first unit 31 is configured to perform equivalent calculation on an injection current source on a distributed energy source and an energy storage system in a power distribution network to obtain a first operating parameter corresponding to the distributed energy source and a second operating parameter corresponding to the energy storage system;
a second unit 32, configured to set multiple optimization targets corresponding to the power distribution network according to the first operation parameter, the second operation parameter, and a topology structure of the power distribution network;
a third unit 33, configured to set objective functions and/or constraint conditions corresponding to the multiple optimization objectives, solve the objective functions according to a distribution network optimization algorithm to determine a distribution network optimization strategy, and adjust the optimization configuration of the energy storage system according to the distribution network optimization strategy, where the distribution network optimization algorithm is used to solve an optimal solution of the objective functions.
In an alternative embodiment of the method according to the invention,
the second unit 32 is further configured to:
the plurality of optimization objectives comprise a first optimization objective for indicating reactive voltage control stability of the power distribution network, and the method for setting the objective function and/or the constraint condition corresponding to the plurality of optimization objectives comprises the following steps:
setting the first optimization target corresponding to the method shown in the following formula
A first objective function:
wherein the content of the first and second substances,L ij the reactive voltage control stability is shown and indicated,
indicating the ingress leg end nodejThe active power of the power converter is set,
representing branchesijThe reactance of (a) is set to be,
representing the end node of an incoming branchjThe reactive power of (a) is,
representing branchesijThe resistance of (a) is set to be,
representing branch head end nodesiThe voltage of (a);
the first constraint condition is:
wherein the content of the first and second substances,
representing nodesiThe injected active and reactive power is used for controlling the power,
representing distributed energy injection nodesiThe active power and the reactive power of the power converter,
representing nodeskThe amplitude of the voltage is set such that,
representing branchesikThe real and imaginary parts of the admittance are,
representing branchesikPhase angle difference of two end nodes, nodekRepresenting all AND nodesiA connected node.
In an alternative embodiment of the method according to the invention,
the second unit 32 is further configured to:
the optimization objectives include a second optimization objective for indicating the operation stability of the power distribution network, and the method for setting the objective functions and/or constraints corresponding to the optimization objectives further includes:
setting the second optimization target corresponding to the method shown in the following formula
A second objective function:
wherein the content of the first and second substances,Fthe operational stability of the power distribution network is represented,
which is indicative of the expected value of the network loss,
indicating the voltage out-of-limit risk expected value,
indicating the expected value of the risk of line overload,
indicating an accident
Is constrained by the probability of (a) being,
indicating an accident
The result of this is that,
denotes the firstjN-1 accidents;
the second constraint condition is as follows:
wherein the content of the first and second substances,
respectively representiThe corresponding active output and reactive output of each distributed energy source,
respectively represent
The lower limit and the upper limit of (c),
respectively represent
The lower and upper limits of (c).
In an alternative embodiment of the method according to the invention,
the second unit 32 is further configured to:
the plurality of optimization objectives includes a third optimization objective for indicating the voltage quality of the energy storage system, and the method for setting the objective function and/or the constraint condition corresponding to the plurality of optimization objectives further includes:
setting the third optimization target according to the method shown in the following formula
A third objective function:
wherein, the first and the second end of the pipe are connected with each other,I vp-i indicating the voltage index of the i-th node,V i indicating the magnitude of the voltage at the ith node,V n which is representative of the node voltage rating and,V max、 V min which represents the upper and lower limit values of the node voltage,P i indicates the injected power of the ith node,Mrepresenting the number of nodes of the feeder.
In an alternative embodiment of the method according to the invention,
the second unit 32 is further configured to:
the plurality of optimization objectives includes a fourth optimization objective for indicating power regulation capability of the energy storage system, and the method for setting the objective functions and/or constraints corresponding to the plurality of optimization objectives further includes:
setting the fourth optimization target corresponding to the method shown in the following formula
A fourth objective function:
wherein the content of the first and second substances,
is shown asjAn energy storage system in stagespThe charging and discharging power of (2) is,
is shown asjThe energy storage system is in phasepThe energy of the stored energy of (a) is,
is shown asjAn energy storage system in stageswThe stored energy of (a) is stored,
representing the time difference.
In an alternative embodiment of the method according to the invention,
the third unit 33 is further configured to:
initializing the structural parameters of the power distribution network and the control parameters of the power distribution network optimization algorithm; randomly initializing particle positions in a preset decision variable feasible region, and randomly initializing particle speeds;
narrowing the feasible domains of the objective functions corresponding to the optimization objectives, updating the adaptive values corresponding to the objective functions, and updating the individual optimal values, the global optimal values and the non-dominated solution sets;
merging the h generation of non-dominated solution sets and h +1 generation of individuals, and screening out the individuals which do not meet the preset requirements through a crowding degree method if the size of the merged population is larger than a preset threshold;
and judging whether a preset iteration stop condition is met, if so, jumping out of the loop, otherwise, increasing the iteration times, continuously performing iteration updating until the preset iteration stop condition is met, and taking the obtained optimal solution as a power distribution network optimization strategy.
In a third aspect of an embodiment of the present invention,
providing an apparatus comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to invoke the memory-stored instructions to perform the aforementioned method.
In a fourth aspect of an embodiment of the present invention,
there is provided a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the method as described above.
In a fifth aspect of an embodiment of the present invention,
an electric distribution network is provided, and the electric distribution network comprises the electric distribution network optimization system.
The present invention may be methods, apparatus, systems and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied therein for carrying out aspects of the present invention.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be interpreted as a transitory signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or an electrical signal transmitted through an electrical wire.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
Computer program instructions for carrying out operations of the present invention may be assembler instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present invention are implemented by personalizing an electronic circuit, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA), with state information of computer-readable program instructions, which can execute the computer-readable program instructions.
Aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processing unit of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processing unit of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It is noted that, unless expressly stated otherwise, all features disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose. Thus, unless expressly stated otherwise, each feature disclosed is one example only of a generic series of equivalent or similar features. Where used, further, preferably, still further and more preferably is a brief introduction to the description of the other embodiment based on the foregoing embodiment, the combination of the contents of the further, preferably, still further or more preferably back strap with the foregoing embodiment being a complete construction of the other embodiment. Several further, preferred, still further or more preferred arrangements of the back tape of the same embodiment may be combined in any combination to form a further embodiment.
It will be appreciated by persons skilled in the art that the embodiments of the invention described above and shown in the drawings are given by way of example only and are not limiting of the invention. The objects of the invention have been fully and effectively accomplished. The functional and structural principles of the present invention have been shown and described in the examples, and any variations or modifications of the embodiments of the present invention may be made without departing from the principles.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (6)
1. A power distribution network optimization method is characterized by comprising the following steps:
performing injection current source equivalent calculation on distributed energy sources and an energy storage system in a power distribution network to obtain a first operating parameter corresponding to the distributed energy sources and a second operating parameter corresponding to the energy storage system;
setting a plurality of optimization targets corresponding to the power distribution network according to the first operation parameter, the second operation parameter and the topological structure of the power distribution network;
setting objective functions and constraint conditions corresponding to the optimization objectives, solving the objective functions according to a power distribution network optimization algorithm to determine a power distribution network optimization strategy, and adjusting the optimization configuration of the energy storage system according to the power distribution network optimization strategy, wherein the power distribution network optimization algorithm is used for solving the optimal solution of the objective functions;
the plurality of optimization objectives comprises a first optimization objective for indicating reactive voltage control stability of the power distribution network, and the method for setting the objective function and the constraint condition corresponding to the plurality of optimization objectives comprises the following steps:
setting the first optimization target corresponding to the method shown in the following formula
A first objective function:
wherein the content of the first and second substances,L ij the reactive voltage control stability is represented and,
indicating the ingress leg end nodejThe active power of the power converter is set,
representing branchesijThe reactance of (a) is set to,
representing the end node of an incoming branchjThe reactive power of (a) is,
representing branchesijThe resistance of (a) is set to be,
representing branch head end nodesiVoltage of (d);
the first constraint condition is:
wherein the content of the first and second substances,
representing nodesiThe active power and the reactive power which are injected,
representing distributed energy injection nodesiThe active power and the reactive power of the power converter,
representing nodeskThe magnitude of the voltage is such that,
representing branchesikThe real and imaginary parts of the admittance,
representing branchesikPhase angle difference of two end nodes, nodekRepresenting all and nodesiA connected node;
the plurality of optimization objectives includes a second optimization objective for indicating the operation stability of the power distribution network, and the method for setting the objective function and the constraint condition corresponding to the plurality of optimization objectives further includes:
setting the second optimization target corresponding to the method shown in the following formula
A second objective function:
wherein the content of the first and second substances,Fthe operational stability of the power distribution network is indicated,
which is indicative of an expected value of network loss,
indicating the voltage out-of-limit risk expected value,
which is indicative of the expected value of the line overload risk,
indicating an accident
Is constrained by the probability of (a) being,
indicating an accident
The consequence of this is that,
is shown asjN-1 accidents;
the second constraint condition is as follows:
wherein the content of the first and second substances,
respectively representiThe corresponding active output and reactive output of each distributed energy source,
respectively represent
The lower limit and the upper limit of (c),
respectively represent
The lower and upper limits of (d);
the plurality of optimization objectives includes a third optimization objective for indicating the voltage quality of the energy storage system, and the method for setting the objective functions and the constraints corresponding to the plurality of optimization objectives further includes:
setting the third optimization target according to the method shown in the following formula
A third objective function:
wherein the content of the first and second substances,I vp-i indicating the voltage index of the i-th node,V i indicating the magnitude of the voltage at the ith node,V n which is representative of the node voltage rating and,V max、 V min which represents the upper and lower limit values of the node voltage,P i indicates the injected power of the ith node,Mrepresenting the number of nodes of the feeder;
the plurality of optimization objectives includes a fourth optimization objective for indicating power regulation capability of the energy storage system, and the method for setting the objective functions and the constraints corresponding to the plurality of optimization objectives further includes:
setting the fourth optimization target corresponding to the method shown in the following formula
The fourth objective function:
wherein, the first and the second end of the pipe are connected with each other,
denotes the firstjAn energy storage system in stagespThe charging and discharging power of (2) is,
is shown asjThe energy storage system is in phasepThe energy of the stored energy of (a) is,
denotes the firstjEnergy storage systemAt a stagewThe energy of the stored energy of (a) is,
representing the time difference.
2. The method of claim 1, wherein the step of solving the objective function according to the power distribution network optimization algorithm to determine the power distribution network optimization strategy comprises:
initializing the structural parameters of the power distribution network and the control parameters of the power distribution network optimization algorithm; randomly initializing particle positions in a preset decision variable feasible region and randomly initializing particle speeds;
narrowing the feasible domains of the objective functions corresponding to the optimization objectives, updating the adaptive values corresponding to the objective functions, and updating the individual optimal values, the global optimal values and the non-dominated solution sets;
merging the h generation non-dominated solution set and h +1 generation individuals, and screening out the individuals which do not meet the preset requirements through a crowding degree method if the population scale after merging is larger than a preset threshold;
and judging whether a preset iteration stop condition is met, if so, jumping out of the loop, otherwise, increasing the iteration times, continuously performing iteration updating until the preset iteration stop condition is met, and taking the obtained optimal solution as a power distribution network optimization strategy.
3. A power distribution network optimization system, comprising:
the device comprises a first unit, a second unit and a third unit, wherein the first unit is used for performing injection current source equivalent calculation on distributed energy sources and an energy storage system in a power distribution network to obtain a first operating parameter corresponding to the distributed energy sources and a second operating parameter corresponding to the energy storage system;
the second unit is used for setting a plurality of optimization targets corresponding to the power distribution network according to the first operation parameters, the second operation parameters and the topological structure of the power distribution network;
a third unit, configured to set objective functions and constraint conditions corresponding to the multiple optimization targets, solve the objective functions according to a power distribution network optimization algorithm to determine a power distribution network optimization strategy, and adjust the optimization configuration of the energy storage system according to the power distribution network optimization strategy, where the power distribution network optimization algorithm is used to solve an optimal solution of the objective functions;
wherein the plurality of optimization objectives includes a first optimization objective for indicating reactive voltage control stability of the power distribution grid, the plurality of optimization objectives includes a second optimization objective for indicating operational stability of the power distribution grid, the plurality of optimization objectives includes a third optimization objective for indicating voltage quality of the energy storage system, the plurality of optimization objectives includes a fourth optimization objective for indicating power regulation capability of the energy storage system,
the third unit is further configured to:
setting the first optimization target corresponding to the method shown in the following formula
A first objective function:
wherein, the first and the second end of the pipe are connected with each other,L ij the reactive voltage control stability is represented and,
representing the end node of an incoming branchjThe active power of the power converter is set,
representing branchesijThe reactance of (a) is set to be,
indicating the ingress leg end nodejThe reactive power of (a) is,
representing branchesijThe resistance of (a) is set to be,
representing a branch head-end nodeiVoltage of (d);
the first constraint condition is as follows:
wherein the content of the first and second substances,
representing nodesiThe injected active and reactive power is used for controlling the power,
representing distributed energy injection nodesiThe active power and the reactive power of the power converter,
representing nodeskThe magnitude of the voltage is such that,
representing branchesikThe real and imaginary parts of the admittance are,
representing branchesikPhase angle difference of two end nodes, nodekRepresenting all and nodesiA connected node;
setting the second optimization target corresponding to the method shown in the following formula
A second objective function:
wherein, the first and the second end of the pipe are connected with each other,Fthe operational stability of the power distribution network is indicated,
indicating expected values of network losses，
Indicating the voltage out-of-limit risk expected value,
which is indicative of the expected value of the line overload risk,
indicating an accident
Is constrained by the probability of (a) being,
indicating an accident
The consequence of this is that,
is shown asjN-1 accidents;
the second constraint condition is as follows:
wherein the content of the first and second substances,
respectively represent the firstiThe corresponding active output and reactive output of each distributed energy source,
respectively represent
The lower limit and the upper limit of (c),
respectively represent
Lower and upper limits of (d);
setting the third optimization target according to the method shown in the following formula
A third objective function:
wherein the content of the first and second substances,I vp-i indicates the voltage index of the ith node,V i indicating the magnitude of the voltage at the ith node,V n which is representative of the nominal value of the node voltage,V max、 V min which represents the upper and lower limit values of the node voltage,P i indicates the injected power of the ith node,Mrepresenting the number of nodes of the feeder;
setting the fourth optimization target corresponding to the method shown in the following formula
The fourth objective function:
wherein, the first and the second end of the pipe are connected with each other,
is shown asjAn energy storage system in stagespThe charging and discharging power of (2) is,
is shown asjAn energy storage system in stagespThe energy of the stored energy of (a) is,
is shown asjThe energy storage system is in phasewThe stored energy of (a) is stored,
representing the time difference.
4. An electrical distribution network comprising the electrical distribution network optimization system of claim 3.
5. An apparatus, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to invoke the memory-stored instructions to perform the method of any of claims 1 to 2.
6. A computer readable storage medium having computer program instructions stored thereon, which when executed by a processor implement the method of any one of claims 1 to 2.
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| CN115085257A (en) * | 2022-06-23 | 2022-09-20 | 广东电网有限责任公司 | Power distribution network coordination optimization method and device based on source network load storage |
| CN115189378A (en) * | 2022-08-02 | 2022-10-14 | 国网河北省电力有限公司电力科学研究院 | Distributed power supply and energy storage grid-connected locating and sizing method and device and electronic equipment |
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