CN116207771A - Novel power distribution network co-evolution method based on evolution co-entropy - Google Patents
Novel power distribution network co-evolution method based on evolution co-entropy Download PDFInfo
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Abstract
The invention discloses a novel power distribution network co-evolution method based on evolution co-entropy, which comprises the following steps: s1: firstly, dividing a main stage of the cooperative evolution of a novel power distribution network by combining a development target and a main task of the novel power distribution network; s2: then cutting in from the angle of the source network charge storage, and providing a source network charge storage evolution path; s3: constructing an evolution collaborative entropy for evaluating the source network charge storage collaborative situation, and performing data processing on the evolution collaborative entropy by adopting a shannon theory; s4: and evaluating the benefits of the co-evolution on carbon emission reduction by adopting a carbon emission intensity model and a carbon emission economic benefit model. The method can accurately evaluate and analyze each stage of distribution network evolution, provide effective approaches for each participating evolution main body, promote the construction of a novel power distribution network, reflect the carbon emission condition in the cooperative evolution process of the power distribution network, promote carbon emission reduction and improve the carbon emission benefit.
Description
Technical Field
The invention relates to the technical field of power distribution networks, in particular to a novel power distribution network co-evolution method based on evolution co-entropy.
Background
Along with the gradual increase of the requirements of the power distribution network on power supply capacity, transmission efficiency and transmission quality, the importance of the collaborative development among the internal resources of the novel power distribution network is continuously increased, the construction of a new generation of power distribution network taking information technology and big data processing technology as cores is urgent, however, the current power distribution network has the problems of uncoordinated source network charge storage, overhigh carbon emission, overlow carbon emission economic benefit and the like, so that if the construction of the novel power distribution network is reasonably promoted, a path of collaborative evolution of the source network charge storage is firstly established, carbon emission reduction is promoted, a novel power distribution network with complementary functions is constructed, and the specific path description for the power distribution network reaching the future power distribution network is generally lacking in the current collaborative evolution method of the power distribution network.
Disclosure of Invention
The invention aims to provide a novel power distribution network co-evolution method based on evolution co-entropy so as to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: the novel power distribution network co-evolution method based on the evolution co-entropy comprises the following steps:
s1: firstly, dividing a main stage of the cooperative evolution of a novel power distribution network by combining a development target and a main task of the novel power distribution network;
s2: then cutting in from the angle of the source network charge storage, and providing a source network charge storage evolution path;
s3: constructing an evolution collaborative entropy for evaluating the source network charge storage collaborative situation, and performing data processing on the evolution collaborative entropy by adopting a shannon theory;
s4: and evaluating the benefits of the co-evolution on carbon emission reduction by adopting a carbon emission intensity model and a carbon emission economic benefit model.
Preferably, the evolution stage of the power distribution network in the new step S1 includes three core features of an development stage, a metamorphic stage and a wisdom thawing stage.
Preferably, the power distribution network in the development period mainly relies on a large unit and a large power grid to provide electric energy input and bear a certain proportion of renewable energy, and the power distribution network in the development period relies on ultra-high voltage alternating-current and direct-current power transmission and a strong power transmission mode of alternating current coordination of each voltage class to realize the large-scale resource optimization configuration capacity of the power distribution network;
the metamorphic period is a period of realizing high-permeability friendly access of a renewable power supply, having a certain proportion of load side response capacity and realizing artificial intelligence of the power distribution network;
the intelligent period is a perfect mature stage of a future power distribution network, and an alternating current-direct current hybrid power distribution network is built comprehensively to realize carbon neutralization.
Preferably, the new type power distribution network collaborative evolution path in the step S2 is a "source-network-load-storage" integrated collaborative evolution path, which is used for guaranteeing real-time transmission of power information, and forming a real-time, safe and stable power production, transportation and use mode;
the source-network-load-storage integrated collaborative development evolution path further comprises:
a co-evolution path between "source-source";
a co-evolution path between the source and the network;
a co-evolution path between "net-net";
a co-evolution path between the storage and the network;
and a co-evolution path between the 'charges'.
Preferably, the evolution co-entropy in step S3 is specifically to construct an effective index for measuring the co-evolution effect of the overall power distribution network, find the evolution characteristics of each evolution stage in the evolution process, use the dissipation theory and the brussel model to provide the power distribution network evolution co-entropy index, and then escape the original brussel model, that is, convert the meaning represented by A, B, D, E, X, Y into the related concept of the power distribution network co-evolution.
Preferably, the step S3 of performing data processing on the evolution co-entropy specifically includes the following steps:
s31: firstly, calculating evolution collaborative entropy, and firstly, defining information entropy total amount;
s32: secondly, calculating the total number of associated paths of the cooperative evolution of the power distribution network based on a Brussell model structure;
s33: then, calculating the number of positive paths and negative paths of the co-evolution participation main body based on an entropy weight method;
s34: and finally, calculating the evolution cooperative entropy of the power distribution network according to the probability and the shannon entropy function relation.
Preferably, the carbon emission intensity evaluation model in the step S4 includes evaluating four aspects of distributed power generation, power transmission line, load and energy storage;
the carbon emission economic benefit model in the step S4 includes constructing a carbon economic benefit evaluation model from four aspects of carbon emission cost, electric energy benefit, low carbon benefit contribution factor and carbon emission compensation time.
Preferably, the evaluation co-evolution in the step S4 includes development-period co-evolution, metamorphic-period co-evolution, and intelligent fusion-period co-evolution.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, the novel power distribution network evolution stage is planned, the power supply network charge storage evolution path is provided by cutting in from the angle of the power supply network charge storage, then the power distribution network collaborative evolution entropy is constructed by utilizing the Brussell model, the Shannon entropy function is adopted for solving, and finally the carbon emission intensity model and the carbon emission economic benefit model are adopted for evaluating the benefit of collaborative evolution on carbon emission reduction, so that each power distribution network evolution stage can be accurately evaluated and analyzed, an effective way is provided for each participation evolution subject, the construction of the novel power distribution network is promoted, the carbon emission condition in the power distribution network collaborative evolution process can be reflected, the carbon emission reduction is promoted, and the carbon emission benefit is improved.
Drawings
FIG. 1 is a block diagram of the co-evolution problem between the source-net-load-store of the present invention;
FIG. 2 is a block diagram of a co-evolution path between "source-net-load-store" according to the present invention;
FIG. 3 is a histogram of entropy values of the co-evolution in the development stage of the present invention;
FIG. 4 is a histogram of entropy values of the co-evolution of the metamorphic process of the present invention;
FIG. 5 is a histogram of entropy values of the co-evolution of the intelligent fusion phase of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-5, the present invention provides a technical solution: the novel power distribution network co-evolution method based on the evolution co-entropy comprises the following steps:
s1: firstly, dividing a main stage of the cooperative evolution of a novel power distribution network by combining a development target and a main task of the novel power distribution network;
s2: then cutting in from the angle of the source network charge storage, and providing a source network charge storage evolution path;
s3: constructing an evolution collaborative entropy for evaluating the source network charge storage collaborative situation, and performing data processing on the evolution collaborative entropy by adopting a shannon theory;
s4: and evaluating the benefits of the co-evolution on carbon emission reduction by adopting a carbon emission intensity model and a carbon emission economic benefit model.
Furthermore, the evolution stage of the power distribution network in the new step S1 comprises three core features of an development stage, a metamorphic stage and a wisdom thawing stage.
Furthermore, the power distribution network in the development period mainly relies on a large unit and a large power grid to provide electric energy input and bear a certain proportion of renewable energy, and the power distribution network in the development period relies on ultra-high voltage alternating-current and direct-current power transmission and a strong power transmission mode of alternating current coordination of each voltage class to realize the large-scale resource optimization configuration capacity of the power distribution network;
the metamorphic period is a period of realizing high-permeability friendly access of a renewable power supply, having a certain proportion of load side response capacity and realizing artificial intelligence of the power distribution network;
the intelligent period is a perfect mature stage of a future power distribution network, and an alternating current-direct current hybrid power distribution network is built comprehensively to realize carbon neutralization.
The power distribution network in the development period mainly relies on a large unit and a large power grid to provide electric energy input and bears a certain proportion of renewable energy sources, and is mainly characterized in that the power distribution network realizes large-scale resource optimal allocation capacity of the power distribution network by means of ultra-high voltage alternating-current and direct-current power transmission and a strong power transmission mode of coordination of alternating currents of various voltage levels, the carbon emission is continuously increased for years, the permeability of a renewable power generation installation is 10% -35%, the permeability of a non-water renewable power generation installation is 5% -20%, the grid is not strong enough, the intelligent level is low, intelligent interaction load is less, and the coordination and mutual capacity of the power grid and an external system is weak;
the metamorphic period is a period of realizing high-permeability friendly access of a renewable power supply, having a certain proportion of load side response capacity and artificial intelligence of a power distribution network, during which the friendly access of renewable energy sources, especially new energy sources, is realized through standardization and technological improvement, the limit of internet "rights" of renewable energy sources is definitely defined, the carbon emission reaches the peak value, the renewable power generation permeability is improved to 40%, the electrochemical energy storage technology realizes mass production of more than 100MW, and the electrochemical energy storage technology has a certain proportion of bidirectional load to participate in power response control, forms energy supply systems such as micro-grids, micro-energy networks and comprehensive energy stations, and the Internet of things and artificial intelligence technology are integrated into each link of power production, so that the productivity is greatly improved;
the intelligent fusion period is a perfect maturity stage of a future power distribution network, an alternating current-direct current hybrid power distribution network is comprehensively built, carbon neutralization is realized, renewable energy sources become main power sources, distributed power sources, energy storage and wide load groups have response regulation and control capability, clean power is dominant, full-link intelligent and controllable, wide interconnection comprehensive allocation is realized, the core status of the power is consolidated and promoted, and flexible interconnection and joint scheduling of a power grid, an air network, a thermal network and a traffic network with electricity as a core is realized.
Further, as shown in fig. 2, the new type of power distribution network co-evolution path in the step S2 is a "source-network-load-storage" integrated co-evolution path, which is used for guaranteeing real-time transmission of power information, and forming a real-time, safe and stable power production, transportation and use mode;
the source-network-load-storage integrated collaborative development evolution path further comprises:
a co-evolution path between "source-source";
aiming at the problem of the co-evolution between renewable energy power generation and traditional energy power generation, firstly, the accuracy of renewable energy power generation prediction is to be improved, then the power generation technology of renewable energy is to be improved, and the two points ensure the stability of renewable energy power supply, wherein the key is to coordinate the benefit relation between renewable energy power and traditional power, avoid 'coal power area protection', and achieve a new power mode of mainly renewable energy power generation and auxiliary peak regulation of traditional energy power generation;
a co-evolution path between the source and the network;
aiming at the problem of co-evolution between renewable energy power generation and power grid transmission, the accuracy of renewable energy power generation prediction still needs to be improved, the more accurate supply of renewable energy power generation is confirmed, then the power grid technology needs to be further improved, the safety and stability are achieved, meanwhile, the purpose of ensuring that the renewable energy power is on the net and does not have serious influence on the power grid is achieved, and finally, the benefit relation between the renewable energy power generation and the power grid is coordinated, and the power grid is ensured not to accept the renewable energy power on-net transmission because of the benefit relation;
a co-evolution path between "net-net";
aiming at the problem of co-evolution between a micro-grid and a main grid, firstly, the safety performance and the flexibility of the micro-grid and the main grid are respectively improved, and the stable operation and the safe supply of the micro-grid and the main grid are ensured, wherein the main grid emphasizes the fusion property, namely the receiving degree of various electric power, the micro-grid focuses on the cleanliness and the reproducibility of the micro-grid according to local conditions, and then, after the benefit relation of the main grid and the micro-grid is defined, the micro-grid and the main grid are connected, so that the electric power supply and the electric power balance between the micro-grid and the main grid are ensured, and the electricity convenience and the intelligence of a coverage cell are ensured;
a co-evolution path between the storage and the network;
aiming at the problem of the co-evolution between the power grid and the energy storage device, the technology of the energy storage device needs to be innovated at first, the application cost of the energy storage device is reduced from the aspects of technical innovation and industrial upgrading, then the flexible performance of the power grid is improved through the technical support of the power grid, the energy storage device is easily communicated with the energy storage device, the power penetration, the mutual support and the mutual filling of the energy storage device are achieved, finally, the benefit relation between the energy storage device and the power grid is coordinated, and finally, the co-evolution development between the 'network and the storage' is formed;
a co-evolution path between 'lotus-lotus';
aiming at the problem of the cooperative evolution between load and load classification, the existing load is firstly required to be classified, wherein the existing load comprises a controllable load and a conventional load, the power of the existing load can be adjusted within a certain range, the existing load is an autonomous electricity utilization unit such as an ordinary user or a factory in an urban area, the existing load is updated by an electric load prediction technology, the load prediction accuracy is improved, and finally, the flexible load is admitted into a power grid, so that the cooperative evolution between 'load and load' is finally realized.
The source-network-charge-storage integrated system is a final state of collaborative development, emphasizes mutual coordination and fusion, ensures real-time transmission of power information, forms a real-time, safe and stable power production, transportation and use mode, and can realize the final target of the source-network-charge-storage integrated system only when each participating main body reaches a collaborative evolution state.
Further, the evolution co-entropy in step S3 is specifically to construct an effective index for measuring the co-evolution effect of the overall power distribution network, find the evolution characteristics of each evolution stage in the evolution process, use the dissipation theory and the brussel model to provide the power distribution network evolution co-entropy index, and then escape the original brussel model, that is, convert the meaning represented by A, B, D, E, X, Y into the related concept of the power distribution network co-evolution.
The method comprises the steps that A, B is taken as a component part in relation entropy of a main evolution participation body of a power distribution network, namely A is positive entropy generated by the main evolution participation body, B is negative entropy formed by the main evolution participation body receiving related association behaviors, and D, E is two possible states under interaction of A and B; d is a non-dissipation structure state, namely the group relationship of each evolution participation main body is not clear; e is a dissipation structure state, namely the group relationship of each evolution participation main body is clear, X and Y are quantifiable indexes influencing the group relationship definition of the evolution participation main body, wherein X represents quantifiable positive entropy indexes, and Y represents quantifiable negative entropy indexes;
according to the definition, the invention constructs the Brussell model of the cooperative evolution of the power distribution network, and the Brussell model is shown as the following formula:
according to the characteristic of the entropy value, the larger the cooperative entropy value is, the worse the cooperative evolution effect among the main bodies participating in evolution is in the cooperative evolution process of the power distribution network; on the contrary, the better the co-evolution effect among the main bodies participating in the evolution.
Further, the step S3 of performing data processing on the evolution collaborative entropy specifically includes the following steps:
s31: firstly, calculating evolution collaborative entropy, and firstly, defining information entropy total amount;
s32: secondly, calculating the total number of associated paths of the cooperative evolution of the power distribution network based on a Brussell model structure;
s33: then, calculating the number of positive paths and negative paths of the co-evolution participation main body based on an entropy weight method;
s34: and finally, calculating the evolution cooperative entropy of the power distribution network according to the probability and the shannon entropy function relation.
It can be appreciated that the presence of multiple discrete events within the system S is first expressed as a set of discrete events s= { E 1 ,E 2 ,E 3 ,...,E n Each of which isThe probability of random occurrence of a piece is p= { P 1 ,P 2 ,...,P n Information entropy (i.e., total amount of information) can be defined as shown in the formula:
based on the above-mentioned distributed network co-evolution Brussell model structure, it is assumed that f in the evolution process of the distributed network i The number of co-paths that point to other participating evolution principals for the ith evolution principal, f i The method is characterized in that the 'i' th subject participating in evolution receives the number of cooperative paths of other participating evolution subjects, and n power distribution network evolution participating subjects in total are provided, so that the total number of the cooperative evolution associated paths of the power distribution network is shown as the formula:
the constructed staged directional weighted power distribution network co-evolution network structure integrates the weight concepts into statistics of the number of the cooperative paths, and the paths with different weights are normalized and integrated into a uniform-form path, wherein the path weights are divided into three layers which are respectively expressed as q i (i=1, 2, 3), the number of positive paths and negative paths of the evolution participation subject i after adding the weight information is shown as the following formula:
f i ＝q 1 f i1 +q 2 f i2 +q 3 f i3 ,i＝1,2,...,n；
f i ′＝q 1 f′ i1 +q 2 f′ i2 +q 3 f′ i3 ,i＝1,2,...,n；
wherein P is denoted as
Therefore, according to the relation between the probability and the shannon entropy function, the evolution collaborative entropy expression of the power distribution network can be obtained as shown in the formula:
further, the carbon emission intensity evaluation model in the step S4 includes evaluation from four aspects of distributed power generation, power transmission line, load and energy storage, as shown in the formula:
wherein P is the total carbon emission consumed by the power generation unit at a certain stage; p (P) i Load power for node i; v (V) i Carbon emission is the unit electric energy; ρ represents the line loss rate per unit length of the transmission line; l represents the length of the transmission line; omega represents a source network charge storage system; p (P) j A tidal current value representing node j; v (V) r Representing the amount of carbon emissions required per unit of electrical energy consumed by the load; v (V) s Representing the carbon emission required by the energy storage end to store the unit electric quantity;
the carbon emission economic benefit model in the step S4 comprises a carbon economic benefit evaluation model constructed from four aspects of carbon emission cost, electric energy benefit, low carbon benefit contribution factor and carbon emission compensation time;
the carbon emission cost comprises the unit carbon emission cost of distributed power generation and traditional power generation and the carbon emission cost of a power transmission line, a load and an energy storage end, and the carbon emission cost is shown as the formula:
wherein C is 0 The carbon emission cost of a distributed power generation and traditional power generation and power transmission lines, loads and energy storage ends is reduced; c t Storing four carbon emission costs per unit for the source network charge;
considering the carbon emission cost generated by a novel power distribution network with the co-evolution of source network and charge storage, the electric energy benefit index considering the carbon emission cost can be provided by combining the electricity selling benefit, and the electric energy benefit is shown as the formula:
E＝P r (p s +p 0 )-C 0 -P C ；
wherein E is the electrical energy benefit of carbon emission cost; p is p s Selling price for electric energy; p is p 0 The method is used for subsidizing the government environment of the generated energy of the distributed generation unit; p (P) C Economic cost of storing the source network charges;
in order to further evaluate the economic benefit of the co-evolution of the source network and the charge storage of the novel power distribution network, a carbon emission reduction efficiency contribution factor is reconstructed, as shown in the formula:
wherein VE is carbon emission benefit;
therefore, a carbon emission benefit evaluation model targeting the minimum carbon emission cost is constructed, and the objective function and constraint conditions thereof are as shown in the following formula:
wherein P is Fmin 、P Fmax Respectively representing the lower limit and the upper limit of the generated energy; p (P) Cmin 、P Cmax Respectively representing the lower limit and the upper limit of the energy storage; s is S max Representing the power flow margin of the transmission line.
Further, the evaluation co-evolution in the step S4 includes development-period co-evolution, metamorphic-period co-evolution and intelligent fusion-period co-evolution.
In order to verify the consistency of the novel power distribution network co-evolution path and the carbon emission intensity variation, 14 user bodies participating in the power distribution network co-evolution are set from 4 aspects, and policy making bodies, policy supervision bodies, financial institutions, international organizations, public behavior bodies, power generation enterprises, power transmission and distribution enterprises, resident users, industrial users, scientific research institutions, technical production bodies, large-scale renewable energy power generation users, energy storage end users and distributed renewable energy power generation users are included from government angles, civilian social angles, market angles and technical angles;
according to related data, policies and the like of the power distribution network in the past years, establishing a correlation matrix of each stage of the power distribution network collaborative evolution, thus constructing a correlation diagram of a corresponding evolution stage, comparing entropy change conditions of evolution participation subjects of each stage and each evolution stage and the whole power distribution network according to the correlation diagram, comprehensively evaluating the evolution collaborative degree of the power distribution network in each stage, and revealing a power distribution network collaborative evolution rule according to an analysis result of the evolution collaborative degree;
as shown in fig. 3, in the development stage, the evolution co-entropy values of the technical layer in the development stage are negative and have a lower negative value, which illustrates that the influence of technological development is weak from the side, but the evolution subject of the technical angle is not yet fully developed, the evolution participation quantity and the co-evolution capability are smaller in the development stage of the co-evolution, the evolution co-entropy value of the whole power distribution network is about 0.04 and is in a positive entropy range, the entropy values of government factors and technical factors are negative, the citizen social factors and enterprise factors have higher positive entropy values, the government dominant influence is stronger in combination with the development state at that time, and the evolution direction of the whole power distribution network is guided, so that the entropy value of the government factors is negative and the negative entropy value is larger; the development of the technological factors is just started, the influence of the technological development influence factors is weak, the evolution participation main bodies are fewer, and the cooperative evolution capability of each main body is also weak, because the matching degree of the technical layer and the whole system is not shown, the evolution cooperative entropy value of the whole technological factors is negative, but the value is very small; the public social factors and the enterprise factors are in a larger positive entropy range, the influence degree of the public society and the market driving influence is low, but the network evolution status of the power generation end, the power transmission and distribution end and the power utilization end under the monopoly management of the government is very high, so that the evolution collaborative entropy values of all evolution participation main bodies of the public social factors and the enterprise factors are positive, and the fact that the original power distribution network is very stable is also proved;
according to the three angles of entropy change of each evolution main body, each level entropy and the entropy change of the whole power distribution network, the evolution effect of the Chinese power distribution network in the non-cooperative evolution stage is depicted as shown in the figure: from the perspective of evolution participation, the negative entropy values of policy makers and policy supervision are the largest, which also verifies that governmental dominant influence is the main co-evolution driving force; the entropy values of the power generation end, the power transmission and distribution end and the two power utilization ends are all 0.08, which not only proves that the influence degree of market driving force and citizen social influence is very low, but also proves that under the background of monopoly operation of the power distribution network, the cooperative evolution capacity of each evolution participation main body is weaker, and only maintains own system functions and does not participate in the update of other evolution functions; the evolution collaborative entropy values of scientific research institutions and innovation technology suppliers are negative, and the degree of negative is low, which explains that the influence of technological research and development is weak from the side, the evolution main body of the technical factors is not fully developed yet, and the number of evolution participation and the collaborative evolution capability are small;
as shown in fig. 4, in the co-evolution stage of the metamorphic period, the evolution co-entropy of the whole power distribution network is about 0.05, in the positive entropy range and greater than the co-evolution development stage, the entropy of government factors still keeps a negative value, and is slightly greater than the non-co-evolution stage, which proves that the pressure of the policy is continuously increased, and the influence degree of government dominant influence still occupies the dominant position; the entropy value of the technical factors becomes 0, at the stage, two microcosmic base evolution participation main bodies are added, the two new promotion evolution participation main bodies also have higher positive entropy values, the entropy value change of the technical factors proves that the influence of the technological research and development influence factors is improved to a certain extent in the last stage, but the matching degree of the new promotion evolution participation main bodies and the whole system is not high, and the self cooperative evolution capability is also not strong; the evolution cooperative entropy value of each evolution participation main body in the citizen social factors and the enterprise factors is still positive, the positive entropy degree is reduced, the influence of the citizen society is still weaker, and the influence of market driving is enhanced under the promotion of an electric improvement policy;
from the perspective of an evolution subject, the negative entropy of government formulators is slightly reduced, but the positive entropy of a financial institution is greatly reduced, so that the cooperative evolution capability of the financial institution is gradually increased, the negative entropy of government factors is further increased due to the comprehensive change of the negative entropy and the positive entropy, and the government dominant influence is proved to be still the main acting force for guiding the evolution of the power distribution network; the entropy values of the power generation end, the power transmission and distribution end and the two power utilization ends are still positive, but the values are slightly reduced, which proves that the effect of the market driving force is enhanced under the driving of policies, however, the influence degree of the social influence of citizens is still lower, the entropy value change conditions of the 4 evolution main bodies also prove that the cooperative evolution capacity of the 4 evolution main bodies is improved, and especially the new functions of part of intelligent power distribution networks are increased, but the self capacity of the intelligent power distribution networks is also required to be enhanced relative to the realization of the cooperative evolution; the evolution co-entropy of scientific research institutions and innovative technology suppliers is 'one increment and one decrement' in the previous stage, and the overall entropy is smaller, which proves that the co-evolution capability of the innovative technology suppliers is larger, the influence of technological research and development influence factors is larger, but the evolution main bodies of two new promotions are: the entropy values of the renewable energy power generation groups and the energy storage facilities are positive, which indicates that the newly added evolution main body has poor fusion with the power distribution network and has low co-evolution capability;
as shown in fig. 5, in the cooperative evolution stage of the intelligent fusion period, the evolution cooperative entropy value of the whole power distribution network is-0.154, the entropy value enters a negative entropy range, the system evolution also enters a more cooperative stage, the entropy value of government factors is continuously reduced, the pressure of the whole system given by a macroscopic environment is continuously increased, but the influence degree of government dominant influence is slightly reduced; the entropy of the technical factors is reduced below-0.1, a new interest-distributed renewable energy power generation device is added, and the change condition of the entropy of the technical factors proves that the influence of the technological research and development influence factors is continuously increased; the evolution cooperative entropy value of each evolution main body in the citizen social factors and the enterprise factors is still positive, but the positive entropy degree is continuously reduced, meanwhile, the influence of the citizen society is increased, the influence of market driving is also increased, and the mesoscopic system of the whole power distribution network tends to be open and flexible under the influence of the two influence factors;
from the perspective of evolution subject, the negative entropy of government formulators continues to decline, but the entropy of financial institutions changes from positive values to negative values, so that the newly added system functions of the financial institutions effectively improve the co-evolution capability of the financial institutions, the public influence is gradually enhanced, and the action of the action leads to the increase of the action degree of the citizens society; the entropy values of the power generation end, the power transmission and distribution end and the resident power utilization end are still positive, and the numerical value continuously drops, but the entropy value of the industrial power supply end rises to some extent, which proves that under the influence of market driving factors, the system functions of the power utilization end are increased to influence the co-evolution capacity of the power utilization end; the co-evolution entropy of the scientific research institution changes slightly, the evolution co-entropy of the innovative technology supplier changes to 0, the entropy of the newly added distributed renewable energy power generation end is positive, the interest entropy of the last stage entering the system changes to negative, and the change proves that the influence of technological research and development promotes the co-development of the technological participation main body.
Specifically, the invention firstly uses the final state of the 'source network charge storage' collaborative evolution development to emphasize the mutual coordination and fusion, ensures the real-time transmission of electric power information, forms real-time, safe and stable electric power production, transportation and use modes, realizes the final goal of the 'source-network-charge storage' integration only when each participation main body reaches the collaborative evolution state, simultaneously measures the collaborative evolution effect of the whole power distribution network, finds the evolution characteristics of each evolution stage in the evolution process, adopts a dissipation theory and a Brussell model, proposes the evolution collaborative entropy index of the power distribution network, and carries out the escape of the original Brussell model, calculates the collaborative entropy of the evolution, firstly needs to define the total amount of information entropy, secondly calculates the total number of associated paths of the collaborative evolution participation main body based on the Brussell model structure, then calculates the number of the collaborative evolution participation main body based on the entropy weight method, finally, calculates the evolution collaborative entropy according to the probability and the function relation of the Brussell, accurately builds a carbon emission intensity evaluation model from the aspects of distributed power generation, power transmission line, load and energy storage 4, evaluates the carbon emission quantity, can accurately analyze the evolution conditions of each evolution stage, pushes each main body to participate in the evolution, provides the new carbon emission effect, and the carbon emission reduction model through the evolution, and the carbon emission reduction effect is promoted, and the carbon emission reduction is simultaneously promoted.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The novel power distribution network co-evolution method based on the evolution co-entropy is characterized by comprising the following steps of:
s1: firstly, dividing a main stage of the cooperative evolution of a novel power distribution network by combining a development target and a main task of the novel power distribution network;
s2: then cutting in from the angle of the source network charge storage, and providing a source network charge storage evolution path;
s3: constructing an evolution collaborative entropy for evaluating the source network charge storage collaborative situation, and performing data processing on the evolution collaborative entropy by adopting a shannon theory;
s4: and evaluating the benefits of the co-evolution on carbon emission reduction by adopting a carbon emission intensity model and a carbon emission economic benefit model.
2. The novel power distribution network co-evolution method based on the evolution co-entropy according to claim 1, wherein the evolution stage of the power distribution network in the new step S1 comprises three core features of an development stage, a metamorphic stage and a wisdom thawing stage.
3. The novel power distribution network collaborative evolution method based on evolution collaborative entropy according to claim 2, wherein the power distribution network in the development period mainly relies on a large unit and a large power grid to provide electric energy input and bears a certain proportion of renewable energy, and the power distribution network in the development period relies on ultra-high voltage alternating-current and direct-current power transmission and a strong power transmission mode of alternating current coordination of each voltage level to realize the wide-range resource optimization configuration capability of the power distribution network;
the metamorphic period is a period of realizing high-permeability friendly access of a renewable power supply, having a certain proportion of load side response capacity and realizing artificial intelligence of the power distribution network;
the intelligent period is a perfect mature stage of a future power distribution network, and an alternating current-direct current hybrid power distribution network is built comprehensively to realize carbon neutralization.
4. The novel power distribution network collaborative evolution method based on evolution collaborative entropy according to claim 3, wherein the novel power distribution network collaborative evolution path in the step S2 is a source-network-load-storage integrated collaborative evolution path, and is used for guaranteeing real-time transmission of power information to form real-time, safe and stable power production, transportation and use modes;
the source-network-load-storage integrated collaborative development evolution path further comprises:
a co-evolution path between "source-source";
a co-evolution path between the source and the network;
a co-evolution path between "net-net";
a co-evolution path between the storage and the network;
and a co-evolution path between the 'charges'.
5. The novel power distribution network collaborative evolution method based on evolution collaborative entropy according to claim 4, wherein the evolution collaborative entropy in the step S3 is specifically to construct an effective index for measuring the collaborative evolution effect of the whole power distribution network, find the evolution characteristics of each evolution stage in the evolution process, propose the power distribution network evolution collaborative entropy index by adopting a dissipation theory and a Brussell model, and then escape the original Brussell model, namely, convert the meaning represented by A, B, D, E, X, Y into the related concept of the power distribution network collaborative evolution.
6. The novel power distribution network co-evolution method based on the evolution co-entropy according to claim 5, wherein the step S3 of performing the data processing on the evolution co-entropy specifically includes the following steps:
s31: firstly, calculating evolution collaborative entropy, and firstly, defining information entropy total amount;
s32: secondly, calculating the total number of associated paths of the cooperative evolution of the power distribution network based on a Brussell model structure;
s33: then, calculating the number of positive paths and negative paths of the co-evolution participation main body based on an entropy weight method;
s34: and finally, calculating the evolution cooperative entropy of the power distribution network according to the probability and the shannon entropy function relation.
7. The novel power distribution network co-evolution method based on the evolution co-entropy according to claim 6, wherein the carbon emission intensity evaluation model in the step S4 comprises evaluation from four aspects of distributed power generation, power transmission line, load and energy storage;
the carbon emission economic benefit model in the step S4 includes constructing a carbon economic benefit evaluation model from four aspects of carbon emission cost, electric energy benefit, low carbon benefit contribution factor and carbon emission compensation time.
8. The novel power distribution network co-evolution method based on evolution co-entropy according to claim 7, wherein the evaluation co-evolution in the step S4 includes development-period co-evolution, metamorphic-period co-evolution and intelligent fusion-period co-evolution.
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