CN109447465B - Power distribution network planning scheme evaluation method based on collaborative optimization efficiency coefficient - Google Patents
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Abstract
A power distribution network planning scheme evaluation method based on a collaborative optimization efficiency coefficient includes 1) analyzing factors influencing power supply capacity and power supply reliability through a sensitivity analysis method, formulating power distribution network modification projects, and constructing power distribution network planning schemes with different voltage grade sequences; 2) establishing a collaborative optimization comparison and selection model, and judging the feasibility of a power distribution network planning scheme according to the model; the method comprises the steps of evaluating the efficiency and restricting indexes; 3) and repeating the step 2) to respectively determine a plurality of power distribution network planning schemes with different voltage grade sequences, and taking the obtained planning scheme with the maximum efficiency evaluation coefficient XNPG in the voltage grade sequences as a final power distribution network planning scheme. The invention can practically and effectively select the power grid planning scheme with the highest cost performance, thereby improving the scientificity and rationality of the power distribution network planning design, more effectively playing the role of power grid planning and improving the comprehensive benefit of the power grid. The command guidance function of the power grid planning design is improved on the whole, and the normal operation of a power supply system is ensured.
Description
Technical Field
The invention relates to a power distribution network planning scheme evaluation method. In particular to a power distribution network planning scheme evaluation method based on a collaborative optimization efficiency coefficient.
Background
With the continuous development of the power market, the economy of power grid planning is more and more emphasized. As the requirements of people on the power supply reliability gradually increase, the economic value of such technical indexes also has an important influence on the economy of power grid planning.
From the current planning situation of the power distribution network, in the process of specifically developing the economic technology selection of the planning scheme, no systematic and complete system and standard guarantee exists, and the corresponding guidance function on the economic technology optimization selection is difficult to play, so that the overall construction of the power distribution network is influenced, unnecessary cost investment is caused, a scientific and reasonable economic technology optimization selection method needs to be adopted in the power distribution network planning scheme, and the scientificity and rationality of power distribution network planning are improved.
In the process of determining the power distribution network planning and transformation scheme, basic requirements of reliable power supply, low capital investment, high power supply efficiency and the like need to be considered when selecting a specific power supply scheme. In the power distribution network planning, technical principles such as a voltage grade sequence, a power grid network structure, a capacity-to-load ratio and the like of a planning project are reasonably selected and specifically determined according to economic conditions and load conditions of a planning area, and index evaluation needs to be carried out on the reliability and the economy of the power distribution network under the premise of ensuring the power supply capacity. At present, most planning scheme evaluations are carried out aiming at a certain item (such as economic benefit, power supply reliability and the like) of a power distribution network, and the technical and economic means are difficult to be comprehensively considered and researched by applying the planning evaluation method. Therefore, comprehensive quantitative economic technology comparison calculation is carried out on the power distribution network planning scheme, so that the purpose of guiding the selection of the power distribution network planning scheme is achieved, and the method has very important significance for improving the comprehensive benefit of the power distribution network.
Disclosure of Invention
The invention aims to solve the technical problem of providing a power distribution network planning scheme evaluation method based on a collaborative optimization efficiency coefficient, which comprehensively considers the technical level and the economic level of power distribution network planning and can more scientifically and effectively select a power distribution network planning scheme.
The technical scheme adopted by the invention is as follows: a power distribution network planning scheme evaluation method based on a collaborative optimization efficiency coefficient comprises the following steps:
1) analyzing factors influencing power supply capacity and power supply reliability through a sensitivity analysis method, formulating a power distribution network modification project, and constructing power distribution network planning schemes with different voltage grade sequences;
2) establishing a collaborative optimization comparison and selection model, and judging the feasibility of a power distribution network planning scheme according to the model; the method comprises the steps of evaluating the efficiency and restricting indexes;
3) and repeating the step 2) to respectively determine a plurality of power distribution network planning schemes with different voltage grade sequences, and taking the obtained planning scheme with the maximum efficiency evaluation coefficient XNPG in the voltage grade sequences as a final power distribution network planning scheme.
Analyzing factors influencing power supply capacity and power supply reliability through a sensitivity analysis method in the step 1), wherein the factors comprise:
(1) the factors influencing the power supply capacity analyzed by the sensitivity analysis method are as follows:
(1.1) calculating the sensitivity coefficient of the transformer substation capacity and the sensitivity coefficient L of the transformer substation capacityAExpressed as:
wherein YS is the power supply capacity of unit land area, Delta YS is the variation of the power supply capacity of unit land area, A is the total capacity of the transformer substation, Delta A is the variation of the capacity of the transformer substation, eta is the load factor,
is a power factor, and S is the area of a power supply area; l isANot less than 1; sensitivity coefficient L of transformer substation capacityAThe higher the power supply capacity is, the greater the power supply capacity is improved;
(1.2) calculating reactive compensation sensitivity coefficient, reactive compensation sensitivity coefficient LQExpressed as:
wherein Q is reactive compensation capacity, and delta Q is the variable quantity of the reactive compensation capacity; sensitivity coefficient L of reactive power compensationQThe higher the power supply capacity is, the greater the power supply capacity is improved;
(2) the factors influencing the power supply reliability analyzed by the sensitivity analysis method are as follows:
(2.1) calculating sensitivity coefficient L of power failure frequencyIFExpressed as:
wherein ASAI is power supply reliability, Δ ASAI is power supply reliability variation, IF is power failure frequency, and Δ IF is power failure frequency variation; sensitivity coefficient L of power failure frequencyIFThe higher the effect on the power supply reliability is, the greater the effect is;
(2.2) calculating sensitivity coefficient L of power failure timetComprises the following steps:
wherein t is the power off time, UiRepresents the average annual outage time, N, at the load point iiThe number of users affected by the fault; sensitivity coefficient L of power failure timetThe higher the effect on the power supply reliability is, the greater the effect is;
(2.3) calculating sensitivity coefficient L of power failure rangeArComprises the following steps:
wherein Ar is the power failure range; sensitivity coefficient L of power failure rangeArThe higher the effect on the reliability of the power supply.
Formulating a power distribution network transformation project in the step 1), and constructing a power distribution network planning scheme comprises the following steps:
(1) formulating the project of transforming the power distribution network, including: newly building a transformer substation project, a distribution transformer capacity increasing transformation project, a transformer substation capacity increasing reactive compensation project, a transformer substation implementation power distribution automation project, a transformer substation new distribution line project, a transformer substation inter-line connection project, an old line transformation project, a distribution line extension project and a distribution line additional subsection project;
(2) and combining the power distribution network transformation projects into different power distribution network planning schemes according to the power supply capacity, the power supply reliability and the planning construction investment cost.
The efficiency evaluation coefficients of step 2) are as follows:
wherein XNPG expresses efficiency evaluation coefficient, YS is power supply capacity of unit land area, ASAI is power supply reliability, XS is unit area construction investment, KCDenotes the capacity-to-load ratio, σ is the load density, SbFor the capacity of the transformer substation, S is the area of a power supply area, u is a line tortuosity coefficient, n represents the number of lines, and NBtIndicating the number of substations of a certain voltage class, ABtLX investment for construction of transformer stations of the corresponding voltage classtFor a certain voltage class line length, AXtRepresenting the construction investment of the line length L of the corresponding unit voltage class.
The constraint index in the step 2) comprises:
(1) the unit area construction investment XS is used as a constraint index, and if the unit area construction investment XS is higher than the upper limit value of the investment cost, a power distribution network planning scheme is not established; the upper limit value is selected according to the construction investment cost of unit area construction of the equal load density power supply area in the planning year by floating up to 20 percent or is determined according to expert resolution;
(2) taking the power supply capacity YS of the unit land area as a constraint index, and if the power supply capacity YS is lower than a power supply capacity lower limit value, the power distribution network planning scheme is not established; the lower limit value is selected according to 20% of the power supply capacity of the unit area of the equal load density power supply area in the planning year or determined according to expert resolution;
(3) the power supply reliability ASAI is used as a constraint index, and if the power supply reliability ASAI is lower than a power supply reliability lower limit value, a power distribution network planning scheme is not established; the lower limit value is selected according to the power supply reliability of the equal load density power supply area in the planning year by 5 percent or determined according to expert resolution.
The invention discloses a power distribution network planning scheme evaluation method based on a collaborative optimization efficiency coefficient. The invention can practically and effectively select the power grid planning scheme with the highest cost performance, thereby improving the scientificity and rationality of the power distribution network planning design, more effectively playing the role of power grid planning and improving the comprehensive benefit of the power grid. The method has the advantages of reflecting the guiding function in project reserve, scientific research, design and concrete construction, ensuring the realization of project planning scientific reserve, promoting the command and guide function of power grid planning design on the whole and ensuring the normal operation of a power supply system.
Drawings
FIG. 1 is a flow chart of performance evaluation calculation in the present invention;
FIG. 2 is a graph of the results of performance evaluation calculations in the present invention.
Detailed Description
The following describes in detail a power distribution network planning scheme evaluation method based on a collaborative optimization efficiency coefficient according to an embodiment and an accompanying drawing.
The invention discloses a power distribution network planning scheme evaluation method based on a collaborative optimization efficiency coefficient, which comprises the following steps:
1) analyzing factors influencing power supply capacity and power supply reliability through a sensitivity analysis method, formulating a power distribution network modification project, and constructing power distribution network planning schemes with different voltage grade sequences; the sensitivity analysis model is an evaluation means for evaluating the magnitude of a change in the target value due to a slight change in a certain influencing factor. By comparing the sensitivity values of the influence factors, the input-output benefits of the projects can be analyzed, and further a theoretical basis is provided for planning scheme evaluation. Wherein,
the factors influencing the power supply capacity and the power supply reliability are analyzed by a sensitivity analysis method, and the method comprises the following steps:
(1) and evaluating the power supply capacity of the power distribution network, and mainly considering factors such as the number of transformer substations and main transformers, the capacity of the main transformers, reactive power configuration and the like. The factors influencing the power supply capacity analyzed by the sensitivity analysis method are as follows:
(1.1) calculating the sensitivity coefficient of the substation capacity
The transformer substations are additionally arranged, so that a richer interstation contact scheme can be formed, and when a certain transformer substation is in a fault state, the load can be transferred to the transformer substation in normal operation through load transfer; the number of main transformers in the transformer substation is increased, so that communication among the main transformers in the substation is facilitated, and the problem of short-time power failure caused by transformer maintenance can be effectively solved; the main transformer expansion can bring more loads on the original basis. Above various modes all have the promotion effect to the electric wire netting power supply ability, and newly-built power supply ability promotion more showing than the dilatation scheme. Since these methods substantially increase the total capacity of the main transformer, they can be collectively summarized as increasing the capacity of the substation.
Sensitivity coefficient L of transformer substation capacityAExpressed as:
wherein YS is the power supply capacity of unit land area, Delta YS is the variation of the power supply capacity of unit land area, A is the total capacity of the transformer substation, Delta A is the variation of the capacity of the transformer substation, eta is the load factor,
is a power factor, and S is the area of a power supply area; l isANot less than 1; sensitivity coefficient L of transformer substation capacityAThe higher the power supply capacity is, the greater the power supply capacity is improved;
(1.2) calculating reactive compensation sensitivity coefficient
By carrying out reactive compensation on the transformer substation, the reactive loss can be reduced and the power factor can be improved on the premise that the main transformer capacity and the load factor are not changed, so that the power supply capacity is improved. Sensitivity coefficient L of reactive power compensationQExpressed as:
wherein Q is reactive compensation capacity, and delta Q is the variable quantity of the reactive compensation capacity; sensitivity coefficient L of reactive power compensationQThe higher the power supply capacity is, the greater the power supply capacity is improved;
(2) the factors influencing the power supply reliability analyzed by the sensitivity analysis method are as follows:
the power supply reliability is an important basis for judging whether a power grid is strong or not. The Singapore power grid is subjected to 10 years of time, the spanning development of reliability is realized, and the current average power supply availability index can reach six nine.
The power supply reliability level of the power distribution network is mainly reflected in three aspects of power failure frequency, power failure time and power failure range.
(2.1) the sensitivity coefficient of the power failure frequency can represent the severity of the outage of the power distribution system, and the sensitivity coefficient L of the power failure frequency is calculatedIFExpressed as:
wherein ASAI is power supply reliability, Δ ASAI is power supply reliability variation, IF is power failure frequency, and Δ IF is power failure frequency variation; sensitivity coefficient L of power failure frequencyIFThe higher the effect on the power supply reliability is, the greater the effect is;
(2.2) the duration of the outage reflects the level of automation of the distribution of power in a region. For a fault section line, the power failure time is related to the time required for maintenance; for the line of the non-fault section, the load supply time directly determines the length of the power failure time. Sensitivity coefficient L for calculating power failure timetComprises the following steps:
wherein t is the power off time, UiRepresents the average annual outage time, N, at the load point iiThe number of users affected by the fault; sensitivity coefficient L of power failure timetThe higher the effect on the power supply reliability is, the greater the effect is;
and (2.3) the power failure range refers to the number of households affected by single power failure. For non-power-limited power failure, the power failure range is mainly influenced by the network structure; for power-limited blackouts, the blackout range is directly related to the load distribution and its importance. Calculating sensitivity coefficient L of power failure rangeArComprises the following steps:
wherein Ar is the power failure range; sensitivity coefficient L of power failure rangeArThe higher the effect on the reliability of the power supply.
Formulating the power distribution network transformation project, and constructing a power distribution network planning scheme comprises:
(1) formulating the project of transforming the power distribution network, including: newly building a transformer substation project, a distribution transformer capacity increasing transformation project, a transformer substation capacity increasing reactive compensation project, a transformer substation implementation power distribution automation project, a transformer substation new distribution line project, a transformer substation inter-line connection project, an old line transformation project, a distribution line extension project and a distribution line additional subsection project;
(2) and combining the power distribution network transformation projects into different power distribution network planning schemes according to the power supply capacity, the power supply reliability and the planning construction investment cost.
2) Establishing a collaborative optimization comparison and selection model, and judging the feasibility of a power distribution network planning scheme according to the model;
firstly, a collaborative optimization ratio selection model is established according to technical and economic indexes (power supply capacity, unit area construction investment and power supply reliability) required by power grid planning, the model considers factors such as capacity-load ratio, load density, transformer substation capacity, power supply area, power factor, circuit tortuosity coefficient, load point average annual outage time and the like, and comprises the aspects of unit power supply area construction investment, power supply capacity and land resource utilization comparison, reliability level and the like, and the quantity, the number and the length of each voltage class transformer substation required by different power distribution network planning schemes are calculated. The collaborative optimization comparison model comprises a performance evaluation coefficient and a constraint index;
as shown in fig. 1, the efficiency evaluation coefficients are as follows:
wherein XNPG expresses efficiency evaluation coefficient, YS is power supply capacity of unit land area, ASAI is power supply reliability, XS is unit area construction investment, KCDenotes the capacity-to-load ratio, σ is the load density, SbFor the capacity of the transformer substation, S is the area of a power supply area, u is a line tortuosity coefficient, n represents the number of lines, and NBtIndicating the number of substations of a certain voltage class, ABtLX investment for construction of transformer stations of the corresponding voltage classtFor a certain voltage class line length, AXtRepresenting the construction investment of the line length L of the corresponding unit voltage class.
The constraint index comprises:
(1) the unit area construction investment XS is used as a constraint index, and if the unit area construction investment XS is higher than the upper limit value of the investment cost, a power distribution network planning scheme is not established; the upper limit value is selected according to the construction investment cost of unit area construction of the equal load density power supply area in the planning year by floating up to 20 percent or is determined according to expert resolution;
(2) taking the power supply capacity YS of the unit land area as a constraint index, and if the power supply capacity YS is lower than a power supply capacity lower limit value, the power distribution network planning scheme is not established; the lower limit value is selected according to 20% of the power supply capacity of the unit area of the equal load density power supply area in the planning year or determined according to expert resolution;
(3) the power supply reliability ASAI is used as a constraint index, and if the power supply reliability ASAI is lower than a power supply reliability lower limit value, a power distribution network planning scheme is not established; the lower limit value is selected according to the power supply reliability of the equal load density power supply area in the planning year by 5 percent or determined according to expert resolution.
3) And repeating the step 2) to respectively determine a plurality of power distribution network planning schemes with different voltage grade sequences, and taking the obtained planning scheme with the maximum efficiency evaluation coefficient XNPG in the voltage grade sequences as a final power distribution network planning scheme.
Specific examples are given below:
in the range of 100 square kilometers of the regional power grid planning area, the load density of each square kilometer is 20 megawatts/square kilometer. According to the method of the invention, 9 projects to be implemented are formulated. The following table shows a power distribution network planning and transformation project, and the promotion degree of the power distribution network planning and transformation project on the influence factors is obtained based on a sensitivity method.
TABLE 1 distribution network to-be-implemented items and their promotion of influencing factors
Different power grid planning schemes are formed according to different emphasis points, and items contained in the schemes are shown in a table 2. As can be seen from the table: the scheme 1 considers that the investment cost of planning and construction is reduced as much as possible; in the case of properly increasing the cost, the scheme 2 emphasizes increasing the power supply capacity of a planning area; in the scheme 3, the reliability and the power supply capacity of the power grid are improved by adopting a means of newly building a transformer substation; in the scheme 4, the reliability of the system is further improved by newly building a contact project on the basis of the scheme 3; scheme 5, newly building a cable line to enable the reliability to be close to 99.99%; according to the scheme 6, the power distribution automation is also implemented when the transformer substation is newly built, so that the power supply reliability and the power supply capacity reach the maximum value in the 6 schemes.
TABLE 2 item list for different protocols
In table 2, N indicates that the item is not selected, and Y selects the item.
And comparing the efficiency coefficients under different power grid planning schemes. The calculation of the boundary conditions taking into account the different schemes remains unchanged. The calculation results of the efficiency evaluation coefficients according to different schemes of a certain power supply area of the actual power grid planning project are shown in table 3, and the corresponding variation trends are shown in fig. 2.
TABLE 3 different protocol Performance evaluation coefficient calculation
As can be seen from the data in table 3, in the case of the lowest power supply capability and power supply reliability, although the construction investment cost can reach the minimum value of the six schemes, the efficiency evaluation coefficient is still at the lowest level; when the construction investment cost, the power supply capacity and the power supply reliability are moderate in all schemes, the efficiency evaluation coefficient can reach the maximum.
Claims (1)
1. A power distribution network planning scheme evaluation method based on a collaborative optimization efficiency coefficient is characterized by comprising the following steps:
1) analyzing factors influencing power supply capacity and power supply reliability through a sensitivity analysis method, formulating a power distribution network modification project, and constructing power distribution network planning schemes with different voltage grade sequences; wherein,
the factors influencing the power supply capacity and the power supply reliability are analyzed by a sensitivity analysis method, and the method comprises the following steps:
(1) the factors influencing the power supply capacity analyzed by the sensitivity analysis method are as follows:
(1.1) calculating the sensitivity coefficient of the transformer substation capacity and the sensitivity coefficient L of the transformer substation capacityAExpressed as:
wherein YS is the power supply capacity of unit land area, Delta YS is the variation of the power supply capacity of unit land area, A is the total capacity of the transformer substation, Delta A is the variation of the capacity of the transformer substation, eta is the load factor,
is a power factor, and S is the area of a power supply area; l isANot less than 1; sensitivity coefficient L of transformer substation capacityAThe higher the power supply capacity is, the greater the power supply capacity is improved;
(1.2) calculating reactive compensation sensitivity coefficient, reactive compensation sensitivity coefficient LQExpressed as:
wherein Q is reactive compensation capacity, and delta Q is the variable quantity of the reactive compensation capacity; sensitivity coefficient L of reactive power compensationQThe higher the power supply capacity is, the greater the power supply capacity is improved;
(2) the factors influencing the power supply reliability analyzed by the sensitivity analysis method are as follows:
(2.1) calculating sensitivity coefficient L of power failure frequencyIFExpressed as:
wherein ASAI is power supply reliability, Δ ASAI is power supply reliability variation, IF is power failure frequency, and Δ IF is power failure frequency variation; sensitivity coefficient L of power failure frequencyIFThe higher the effect on the power supply reliability is, the greater the effect is;
(2.2) calculating sensitivity coefficient L of power failure timetComprises the following steps:
wherein t is the power off time, UiRepresents the average annual outage time, N, at the load point iiThe number of users affected by the fault; sensitivity coefficient L of power failure timetThe higher the effect on the power supply reliability is, the greater the effect is;
(2.3) calculating sensitivity coefficient L of power failure rangeArComprises the following steps:
wherein Ar is the power failure range; sensitivity coefficient L of power failure rangeArThe higher the effect on the power supply reliability is, the greater the effect is;
formulating the power distribution network transformation project and constructing a power distribution network planning scheme, wherein the power distribution network transformation project comprises the following steps:
(1) formulating the project of transforming the power distribution network, including: newly building a transformer substation project, a distribution transformer capacity increasing transformation project, a transformer substation capacity increasing reactive compensation project, a transformer substation implementation power distribution automation project, a transformer substation new distribution line project, a transformer substation inter-line connection project, an old line transformation project, a distribution line extension project and a distribution line additional subsection project;
(2) combining power distribution network transformation projects into different power distribution network planning schemes according to power supply capacity, power supply reliability and planning construction investment cost;
2) establishing a collaborative optimization comparison and selection model, and judging the feasibility of a power distribution network planning scheme according to the model; the method comprises the steps of evaluating the efficiency and restricting indexes; wherein,
the efficiency evaluation coefficients are as follows:
wherein XNPG expresses efficiency evaluation coefficient, YS is power supply capacity of unit land area, ASAI is power supply reliability, XS is unit area construction investment, KCDenotes the capacity-to-load ratio, σ is the load density, SbFor the capacity of the transformer substation, S is the area of a power supply area, u is a line tortuosity coefficient, n represents the number of lines, and NBtIndicating the number of substations of a certain voltage class, ABtLX investment for construction of transformer stations of the corresponding voltage classtFor a certain voltage class line length, AXtThe construction investment for representing the line length L of the corresponding unit voltage class;
the constraint index comprises:
(1) the unit area construction investment XS is used as a constraint index, and if the unit area construction investment XS is higher than the upper limit value of the investment cost, a power distribution network planning scheme is not established; the upper limit value is selected according to the construction investment cost of unit area construction of the equal load density power supply area in the planning year by floating up to 20 percent or is determined according to expert resolution;
(2) taking the power supply capacity YS of the unit land area as a constraint index, and if the power supply capacity YS is lower than a power supply capacity lower limit value, the power distribution network planning scheme is not established; the lower limit value is selected according to 20% of the power supply capacity of the unit area of the equal load density power supply area in the planning year or determined according to expert resolution;
(3) the power supply reliability ASAI is used as a constraint index, and if the power supply reliability ASAI is lower than a power supply reliability lower limit value, a power distribution network planning scheme is not established; the lower limit value is selected according to 5% of the power supply reliability of the equal load density power supply area in the planning year or determined according to expert resolution;
3) and repeating the step 2) to respectively determine a plurality of power distribution network planning schemes with different voltage grade sequences, and taking the obtained planning scheme with the maximum efficiency evaluation coefficient XNPG in the voltage grade sequences as a final power distribution network planning scheme.
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