CN109272253A - A kind of regional power grid management and running index evaluating method based on information entropy theory - Google Patents
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Abstract
The present invention proposes a kind of regional power grid management and running index evaluating method based on information entropy theory, belongs to electric power system dispatching assessment technology field.This method chooses operation of power networks index first and is classified as inflexible target and flexible index, and corresponding threshold value is arranged to each inflexible target；Type unification is carried out to each operation of power networks index and nondimensionalization is handled；Evaluating matrix is established with the integrated evaluating method of entropy assessment；If that there are inflexible targets is out-of-limit for any evaluated province, weight coefficient is adjusted；Then after the secondary adjustment of weight coefficient, dispatching of power netwoks operation level composite index is calculated.The present invention can check and rate for operation of power networks level of aggregation and provide accurate quantitative basis, facilitate administration of power networks personnel and grasp the operating condition of power grid and provide reference frame for network optimization.
Description
Technical Field
The invention provides a regional power grid dispatching operation index evaluation method based on an information entropy theory, and belongs to the technical field of electric power system dispatching evaluation.
Background
The power grid operation index system comprises a plurality of contradictory indexes, such as safety and environmental indexes, environmental and economic indexes and the like. Contradictory indexes in different data topics or index subsets are coordinated, and a scientific and effective index evaluation method is needed to quantitatively and comprehensively evaluate the dispatching operation level of the power grid, so that an intuitive quantitative standard for evaluating the dispatching operation comprehensive level of the power grid is provided for power grid dispatching operation managers.
The scientific quantitative evaluation method relies on setting reasonable weight coefficients on the basis of single indexes. In order to determine the weight coefficient more scientifically, a method suitable for analyzing and evaluating the comprehensive index of the dispatching operation of the power grid is reasonably selected by starting from the physical significance of deep mining indexes. The general evaluation methods at home and abroad are mainly divided into subjective weighting methods and objective weighting methods. The subjective weighting method mainly comprises an expert method, an analytic hierarchy process, a fuzzy evaluation method and the like; the objective weighting method comprises a variation coefficient method, a multi-objective optimization method, a complex correlation coefficient method, a principal component analysis method and the like, and adopts methods of mathematical statistics, probability theory, multivariate statistics and the like.
The existing method mainly has the following two problems:
1. although the subjective empowerment method is simple and feasible, and simple and convenient to operate, the subjective empowerment method is easily limited by experience, knowledge, ability and the like of decision makers, and has great randomness. The degree of preference of the decision maker sometimes affects the result.
2. The traditional objective weighting method is complex in calculation process, the physical significance of the calculation method is not clear, and the method is not convenient for engineering personnel to flexibly use in the dispatching operation of the power grid.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a regional power grid dispatching operation index evaluation method based on an information entropy theory. The method can provide accurate quantitative basis for evaluation of the comprehensive operation level of the power grid, is beneficial to the power grid management personnel to master the operation condition of the power grid and provides reference basis for optimization of the power grid.
The invention provides a regional power grid dispatching operation index evaluation method based on an information entropy theory, which is characterized by comprising the following steps of:
1) selecting and classifying power grid operation indexes into rigid indexes and flexible indexes, and setting a corresponding threshold value for each rigid index;
the power grid operation indexes comprise 20 indexes including load prediction accuracy, the maximum value of a rotation standby coefficient, the minimum value of the rotation standby coefficient, a control action standard 1CPS1, a control action standard 2CPS2, a main grid voltage qualification rate, a unit automatic generation control AGC operation rate, the maximum value of a low-frequency load reduction control capacity operation rate, the minimum value of the low-frequency load reduction control capacity operation rate, frequency out-of-limit time, the highest frequency, the lowest frequency, voltage out-of-limit time, the number of voltage out-of-limit stations, the maximum value of an AGC rising standby coefficient, the maximum value of an AGC falling standby coefficient, bus active load prediction accuracy, reactive bus load prediction accuracy, and the maximum value of low-frequency and low-voltage load reduction average plan completion rates; setting out-of-limit voltage time, out-of-limit frequency time and main network voltage qualification rate as rigid indexes, setting the threshold vector V of the rigid indexes as [15, 99.99 percent and 15 percent]T；
2) Carrying out type consistency and dimensionless treatment on each power grid operation index;
dividing the power grid operation index into an extremely large index, an extremely small index and an interval index; the maximum type indexes comprise load prediction accuracy, CPS1, CPS2, main network voltage qualification rate, unit AGC commissioning rate, maximum value of low-frequency load shedding control capacity commissioning rate, minimum value of low-frequency load shedding control capacity commissioning rate, bus active load prediction accuracy, bus reactive load prediction accuracy, maximum value of low-voltage load shedding average plan completion rate and maximum value of low-voltage load shedding average plan completion rate; the very small metrics include: frequency out-of-limit time, maximum frequency, voltage out-of-limit time and number of voltage out-of-limit stations; the method comprises the following steps: the maximum value of the rotating standby coefficient, the minimum value of the rotating standby coefficient, the maximum value of the AGC rising standby coefficient and the maximum value of the AGC falling standby coefficient;
the method is characterized in that a pole differentiation method is adopted to carry out type consistency and dimensionless treatment on all power grid operation indexes, and the specific method is as follows:
let the number of the evaluated provinces contained in the regional power grid be n, and for the power grid operation index of each evaluated province:
for the maximum index, the processing method is as follows:
for the very small scale, the processing method is as follows:
in the formula, xijFor the jth grid operating index of the ith province being evaluated,is xijThe values after type conformance and dimensionless processing,andrespectively representing the upper limit and the lower limit of the j index value; i is more than or equal to 1 and less than or equal to n, j is more than or equal to 1 and less than or equal to 20,
respectively selecting the upper limit and the lower limit of the jth index according to the following formula
In the formula,representing the value of the jth power grid operation index of the ith province to be evaluated in the tth statistical period;
for the interval type index, the processing method is as follows:
in the formula, axjAnd bxjRespectively the lower limit value and the upper limit value of the optimal stability interval of the jth power grid operation index of the ith province to be evaluated,
3) a comprehensive evaluation method applying an entropy weight method;
establishing an evaluation matrix as follows:
the source entropy of the jth index is defined as:
wherein j is 1,2, …, m, k is 1/lnn, and there are:
the entropy weight of the jth index is defined as:
4) adjusting the weight under the condition that the rigidity index is beyond the line;
for any one of the evaluated provinces, if the rigidity index exceeds the limit, the weight coefficient of the operation index of the province power grid is adjusted;
let the initial weight coefficient of any estimated province be ω0＝[ω01,ω02,…,ω020]T, when α rigidity indexes are out of limit and their subscript aggregates are a, and subscript aggregates of other non-out-of-limit rigidity indexes and flexibility indexes are b, the weight adjustment rules of each index are as follows:
the weight of each out-of-limit rigidity index is adjusted to
The weight adjustment formula of other non-overrun rigidity indexes and flexibility indexes is as follows:
5) the weight coefficient is corrected for the second time and a comprehensive index of the dispatching operation level of the power grid is calculated;
let λ0For correction vectors for any of the evaluated provinces, ω0In order to apply to the modified weight coefficient vector of the estimated power saving network, the calculation method of the comprehensive index of the scheduling operation level of the estimated power saving network is as follows:
wherein,Xjthe j index is a value after type consistency and dimensionless processing.
The invention has the technical characteristics and beneficial effects that:
1. the method disclosed by the invention realizes type subdivision and layer-by-layer screening of the power grid operation mass data, finds a quantitative evaluation method suitable for evaluating the power grid operation comprehensive level, and finally forms a power grid operation comprehensive index based on an information source entropy theory, thereby providing a quantitative basis for evaluation of the power grid operation comprehensive level.
2. The power grid operation comprehensive index provided by the invention is used for longitudinally evaluating the operation comprehensive levels of the power grid in different periods in the area governed by the dispatching center, and is helpful for a power grid operation manager to grasp the overall operation situation of the power grid; the index is used for transversely evaluating the comprehensive operation level of the power grid of each scheduling center in the same assessment period, and the operation condition of the power grid can be accurately obtained.
3. The comprehensive index of the power grid operation provided by the invention is applied to longitudinal evaluation of a dispatching department, and is beneficial to various units to track the development trend of the power grid dispatching operation work level in time by observing the index so as to carry out next optimization and adjustment on the power grid, such as targeted power grid transformation, power grid investment, adjustment of a power grid operation mode and the like.
Detailed Description
The invention provides a regional power grid dispatching operation index evaluation method based on an information entropy theory, which comprises the following steps of:
1) selecting and classifying power grid operation indexes into rigid indexes and flexible indexes, and setting a corresponding threshold value for each rigid index;
the power grid operation indexes comprise 20 indexes including load prediction accuracy, the maximum value of a rotation standby coefficient, the minimum value of the rotation standby coefficient, CPS1 (control action standard 1), CPS2 (control action standard 2), the main grid voltage qualification rate, the unit AGC (automatic generation control) operation rate, the maximum value of the low-frequency deloading control capacity operation rate, the minimum value of the low-frequency deloading control capacity operation rate, frequency out-of-limit time, the highest frequency, the lowest frequency, voltage out-of-limit time, the number of voltage out-of-limit plants, the maximum value of an AGC rising standby coefficient, the maximum value of an AGC falling standby coefficient, bus active load prediction accuracy, bus reactive load prediction accuracy, the maximum value of low-frequency and low-voltage deloading average plan completion rate; setting out-of-limit voltage time, out-of-limit frequency time and main network voltage qualification rate as rigid indexes, setting the threshold vector V of the rigid indexes as [15, 99.99 percent and 15 percent]T；
2) Carrying out type consistency and dimensionless treatment on each power grid operation index;
dividing the power grid operation index into an extremely large index, an extremely small index and an interval index; the maximum type indexes comprise load prediction accuracy, CPS1, CPS2, main network voltage qualification rate, unit AGC commissioning rate, maximum value of low-frequency load shedding control capacity commissioning rate, minimum value of low-frequency load shedding control capacity commissioning rate, bus active load prediction accuracy, bus reactive load prediction accuracy, maximum value of low-voltage load shedding average plan completion rate and maximum value of low-voltage load shedding average plan completion rate; the very small metrics include: frequency out-of-limit time, maximum frequency, voltage out-of-limit time and number of voltage out-of-limit stations; the method comprises the following steps: the maximum value of the rotating standby coefficient, the minimum value of the rotating standby coefficient, the maximum value of the AGC rising standby coefficient and the maximum value of the AGC falling standby coefficient;
the method is characterized in that a pole differentiation method is adopted to carry out type consistency and dimensionless treatment on all power grid operation indexes, and the specific method is as follows:
let the number of the evaluated provinces contained in the regional power grid be n, and for the power grid operation index of each evaluated province:
for the maximum index, the processing method is as follows:
for the very small scale, the processing method is as follows:
in the formula, xijFor the jth grid operating index of the ith province being evaluated,is xijThe values after type conformance and dimensionless processing,andrespectively representing the upper limit and the lower limit of the j index value; i is more than or equal to 1 and less than or equal to n, j is more than or equal to 1 and less than or equal to 20,
respectively selecting the upper limit and the lower limit of the jth index according to the following formula
In the formula,and representing the value of the jth power grid operation index of the ith province to be evaluated in the tth statistical period.
For the interval type index, the processing method is as follows:
in the formula, axjAnd bxjRespectively the lower limit value and the upper limit value of the optimal stability interval of the jth power grid operation index of the ith province to be evaluated,
3) a comprehensive evaluation method applying an entropy weight method;
establishing an evaluation matrix as follows:
the source entropy of the jth index is defined as:
wherein j is 1,2, …, m, k is 1/lnn, and there are:
the entropy weight of the jth index is defined as:
4) adjusting the weight under the condition that the rigidity index is beyond the line;
for any one of the evaluated provinces, if the rigidity index exceeds the limit, the weight coefficient of the operation index of the province power grid is adjusted;
let the initial weight coefficient of any estimated province be ω0＝[ω01,ω02,…,ω020]T, when α rigidity indexes are out of limit and their subscript aggregates are a, and subscript aggregates of other non-out-of-limit rigidity indexes and flexibility indexes are b, the weight adjustment rules of each index are as follows:
the weight of each out-of-limit rigidity index is adjusted to
The weight adjustment formula of other non-overrun rigidity indexes and flexibility indexes is as follows:
5) the weight coefficient is corrected for the second time and a comprehensive index of the dispatching operation level of the power grid is calculated;
let λ0For correction vectors for any of the evaluated provinces, ω0In order to apply to the modified weight coefficient vector of the estimated power saving network, the calculation method of the comprehensive index of the scheduling operation level of the estimated power saving network is as follows:
wherein,Xjthe j index is a value after type consistency and dimensionless processing.
Claims (1)
1. A regional power grid dispatching operation index evaluation method based on an information entropy theory is characterized by comprising the following steps:
1) selecting and classifying power grid operation indexes into rigid indexes and flexible indexes, and setting a corresponding threshold value for each rigid index;
the power grid operation indexes comprise load prediction accuracy, maximum value of rotation standby coefficient, minimum value of rotation standby coefficient, control behavior standard 1CPS1, control behavior standard 2CPS2, main grid voltage qualification rate, unit automatic generation control AGC operation rate, low frequency reductionThe maximum value of the load control capacity commissioning rate, the minimum value of the low-frequency load shedding control capacity commissioning rate, the frequency out-of-limit time, the highest frequency, the lowest frequency, the voltage out-of-limit time, the voltage out-of-limit plant station number, the maximum value of the AGC up-standby coefficient, the maximum value of the AGC down-standby coefficient, the bus active load prediction accuracy, the bus reactive load prediction accuracy, and the maximum value of the low-frequency and low-voltage load shedding average plan completion rate are 20 indexes; setting out-of-limit voltage time, out-of-limit frequency time and main network voltage qualification rate as rigid indexes, setting the threshold vector V of the rigid indexes as [15, 99.99 percent and 15 percent]T；
2) Carrying out type consistency and dimensionless treatment on each power grid operation index;
dividing the power grid operation index into an extremely large index, an extremely small index and an interval index; the maximum type indexes comprise load prediction accuracy, CPS1, CPS2, main network voltage qualification rate, unit AGC commissioning rate, maximum value of low-frequency load shedding control capacity commissioning rate, minimum value of low-frequency load shedding control capacity commissioning rate, bus active load prediction accuracy, bus reactive load prediction accuracy, maximum value of low-voltage load shedding average plan completion rate and maximum value of low-voltage load shedding average plan completion rate; the very small metrics include: frequency out-of-limit time, maximum frequency, voltage out-of-limit time and number of voltage out-of-limit stations; the method comprises the following steps: the maximum value of the rotating standby coefficient, the minimum value of the rotating standby coefficient, the maximum value of the AGC rising standby coefficient and the maximum value of the AGC falling standby coefficient;
the method is characterized in that a pole differentiation method is adopted to carry out type consistency and dimensionless treatment on all power grid operation indexes, and the specific method is as follows:
let the number of the evaluated provinces contained in the regional power grid be n, and for the power grid operation index of each evaluated province:
for the maximum index, the processing method is as follows:
for the very small scale, the processing method is as follows:
in the formula, xijFor the jth grid operating index of the ith province being evaluated,is xijThe values after type conformance and dimensionless processing,andrespectively representing the upper limit and the lower limit of the j index value; i is more than or equal to 1 and less than or equal to n, j is more than or equal to 1 and less than or equal to 20,
respectively selecting the upper limit and the lower limit of the jth index according to the following formula
In the formula,representing the value of the jth power grid operation index of the ith province to be evaluated in the tth statistical period;
for the interval type index, the processing method is as follows:
in the formula, axjAnd bxjRespectively the lower limit value and the upper limit value of the optimal stability interval of the jth power grid operation index of the ith province to be evaluated,
3) a comprehensive evaluation method applying an entropy weight method;
establishing an evaluation matrix as follows:
the source entropy of the jth index is defined as:
wherein j is 1,2, …, m, k is 1/lnn, and there are:
the entropy weight of the jth index is defined as:
4) adjusting the weight under the condition that the rigidity index is beyond the line;
for any one of the evaluated provinces, if the rigidity index exceeds the limit, the weight coefficient of the operation index of the province power grid is adjusted;
let the initial weight coefficient of any estimated province be ω0＝[ω01,ω02,…,ω020]TWhen α rigidity indexes are out of limit and their subscript aggregates are A, and the subscripts of other non-out-of-limit rigidity indexes and flexibility indexes are aggregate B, the weight adjustment rules of each index are as follows:
weight adjustment of out-of-limit stiffness indicatorsIs composed of
The weight adjustment formula of other non-overrun rigidity indexes and flexibility indexes is as follows:
5) the weight coefficient is corrected for the second time and a comprehensive index of the dispatching operation level of the power grid is calculated;
let λ0For correction vectors for any of the evaluated provinces, ω0In order to apply to the modified weight coefficient vector of the estimated power saving network, the calculation method of the comprehensive index of the scheduling operation level of the estimated power saving network is as follows:
wherein,Xjthe j index is a value after type consistency and dimensionless processing.
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| CN102663501A (en) * | 2012-03-20 | 2012-09-12 | 上海交通大学 | Smart grid evaluation system and method |
| CN103426121A (en) * | 2013-04-28 | 2013-12-04 | 中国南方电网有限责任公司 | Method for calculating power grid operation evaluation index dimensionless |
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Application publication date: 20190125 |