JP2006217709A - Power quality evaluating system - Google Patents

Power quality evaluating system Download PDF

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JP2006217709A
JP2006217709A JP2005026481A JP2005026481A JP2006217709A JP 2006217709 A JP2006217709 A JP 2006217709A JP 2005026481 A JP2005026481 A JP 2005026481A JP 2005026481 A JP2005026481 A JP 2005026481A JP 2006217709 A JP2006217709 A JP 2006217709A
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power quality
value
degree
evaluation
power
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JP4476832B2 (en
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Yasuhiro Taguchi
保博 田口
Yasuhiro Suwa
泰裕 諏訪
Masayuki Shirojo
雅之 城条
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Toshiba Corp
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70Smart grids as climate change mitigation technology in the energy generation sector
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

<P>PROBLEM TO BE SOLVED: To provide a power quality evaluating system which can evaluate the time-series transition of the deterioration of power quality and the degree of power quality, and besides can estimate the factor of power quality deterioration. <P>SOLUTION: A power quality computing means 13 computes a plurality of power quality values which show the degree of power quality from the quantity of electricity of consumers collected by a data collecting means 12 and preserves them in a power quality computed value preserving means 14. A power quality probability density function making means 15 makes the probability density function of each power quality value from each power quality value preserved in the power quality computed value preserving means 14. A power quality evaluating means 16 evaluates the degree of power quality, using the power quality probability density function of the power quality value made by the power quality probability density function making means 15 and the power quality judgement set value being preset for judging the degree of power quality. A power quality evaluation informing means 17 informs consumers of the evaluation of the degree of the power quality obtained by the power quality evaluating means 16. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

本発明は、電力系統に生じる高調波、電圧変動、電圧不平衡、瞬時電圧低下等による電力品質の悪化を評価する電力品質評価システムに関する。   The present invention relates to a power quality evaluation system that evaluates deterioration of power quality due to harmonics, voltage fluctuation, voltage imbalance, instantaneous voltage drop, and the like generated in a power system.

電力系統への電力の供給制御に関し、電力需要家に対して個別に行っていた負荷制御を電力需要家全体の協調制御を行い、電力需要家に対して必要な電力品質を算定し、それを基に電力需要家受配電設備の最適な管理運用を支援するようにしたものがある(例えば特許文献1参照)。   For power supply control to the power grid, load control, which has been performed individually for power consumers, is coordinated for the entire power consumer, and the required power quality is calculated for the power consumer. Based on this, there is one that supports optimal management and operation of power consumer power distribution facilities (see, for example, Patent Document 1).

すなわち、特許文献1のものでは、電力需要家受配電設備の系統構成図、受電電圧、受電設備容量、および契約電力のうちの少なくとも1つを含む情報と、複数の受電点および各負荷機器に繋がる母線およびフィーダ回路における電流および電圧のうちの少なくとも1つを含む情報と、負荷機器の種類、容量、稼動状態、および異常時の停止の有無のうちの少なくとも1つを含む情報と、または異常時の被害情報とを、管理サーバが取得し、記憶手段に格納されている関連付け情報を用いて各情報の関連付けを行い、各情報および関連付けされた情報をデータベースに蓄積し、データベースに蓄積された情報を用いて電力需要家が必要とする電力品質を管理サーバの演算手段により算出して電力需要家に提示する。
特開2002−247780号公報
That is, in Patent Document 1, information including at least one of a system configuration diagram, a receiving voltage, a receiving facility capacity, and contract power of a power consumer receiving and distributing facility, a plurality of receiving points, and each load device Information including at least one of current and voltage in the connected bus and feeder circuit and information including at least one of the type, capacity, operating state, and presence / absence of stoppage in case of abnormality, or abnormality The damage information at the time is acquired by the management server, and the information is associated using the association information stored in the storage means. Each information and the associated information are accumulated in the database, and are accumulated in the database. Using the information, the power quality required by the power consumer is calculated by the computing means of the management server and presented to the power consumer.
JP 2002-247780 A

しかし、特許文献1のものでは、電力品質悪化を発生確率から評価したり、また、電力品質の程度の時系列推移や頻度評価を付加して評価したり、さらに、需要家の電力品質の程度から電力品質悪化の要因を推定することは行われておらず、そのような評価結果を提供できる電力品質評価システムが望まれている。   However, in Patent Document 1, power quality deterioration is evaluated from the probability of occurrence, and evaluation is performed by adding a time-series transition and frequency evaluation of the degree of power quality, and further, the degree of power quality of consumers. Therefore, the cause of power quality deterioration is not estimated, and a power quality evaluation system that can provide such an evaluation result is desired.

本発明の目的は、電力品質悪化および電力品質の程度の時系列推移や頻度を評価でき、しかも電力品質悪化の要因を推定できる電力品質評価システムを提供することである。   An object of the present invention is to provide a power quality evaluation system capable of evaluating the time series transition and frequency of the degree of power quality deterioration and the power quality and estimating the cause of power quality deterioration.

本発明の電力品質評価システムは、電力系統から電力の供給を受ける需要家に設置された測定装置により測定した電気量をデータ伝送装置によって収集するデータ収集手段と、前記データ収集手段によって収集された電気量から電力品質の程度を示す複数の電力品質値を計算する電力品質計算手段と、前記電力品質計算手段によって得られた各電力品質値を保存する電力品質計算値保存手段と、前記電力品質計算値保存手段によって保存された各電力品質値から各電力品質値の確率密度関数を作成する電力品質確率密度関数作成手段と、前記電力品質確率密度関数作成手段によって作成された電力品質値の電力品質確率密度関数と電力品質の程度を判定するために予め設定された電力品質判定設定値とを用いて電力品質の程度を評価する電力品質評価手段と、前記電力品質評価手段によって得られた電力品質の程度の評価を前記需要家に通知する電力品質評価通知手段とを備えたことを特徴とする。   The power quality evaluation system according to the present invention includes a data collection unit that collects the amount of electricity measured by a measurement device installed in a consumer who receives power supplied from a power system by a data transmission device, and the data collection unit Power quality calculation means for calculating a plurality of power quality values indicating the degree of power quality from the amount of electricity, power quality calculation value storage means for storing each power quality value obtained by the power quality calculation means, and the power quality Power quality probability density function creating means for creating a probability density function of each power quality value from each power quality value saved by the calculated value saving means, and power of the power quality value created by the power quality probability density function creating means Power that evaluates the degree of power quality using a quality probability density function and a preset power quality judgment value to judge the degree of power quality And quality evaluation means, characterized in that the evaluation of the degree of power quality obtained by the power quality evaluation means and a power quality evaluation notifying means for notifying the customer.

本発明によれば、電力系統から電力の供給を受ける需要家に設置された測定装置により測定した電気量を収集し、電力品質の程度を示す複数の電力品質値を計算して、各電力品質値の確率密度関数を作成し、電力品質値の電力品質確率密度関数と電力品質の程度を判定するために予め設定された電力品質判定設定値とを用いて電力品質の程度を評価するので、電力品質悪化を発生確率から評価できる。   According to the present invention, the amount of electricity measured by a measuring device installed in a consumer who receives power supply from the power system is collected, and a plurality of power quality values indicating the degree of power quality are calculated. Since the probability density function of the value is created and the power quality probability density function of the power quality value and the power quality determination setting value set in advance to determine the degree of power quality are evaluated, The deterioration of power quality can be evaluated from the probability of occurrence.

(第1の実施の形態)
図1は本発明の第1の実施の形態に係わる電力品質評価システムの構成図である。電力品質評価システム11は、電力系統に接続され電力の供給を受ける需要家に設置された測定装置によって測定された電圧、電流等の電気量を収集するデータ収集手段12と、電力系統から測定された電圧、電流等の電力量から、高調波、電圧変動、電圧不平衡、瞬時電圧低下等の電力品質の程度を計算する電力品質計算手段13と、電力品質計算手段13によって得られた電力品質の程度(以下、電力品質値aという)を保存する電力品質計算値保存手段14と、電力品質計算値保存手段14によって保存された電力品質値aから、電力品質値aの確率密度関数を作成する電力品質確率密度関数作成手段15と、電力品質確率密度関数作成手段15によって作成された電力品質値aの確率密度関数(以下、電力品質確率密度関数fという)と電力品質の程度を判定するために予め設定された設定値(以下、電力品質判定設定値a)とを用いて電力品質の程度を評価する電力品質評価手段16と、電力品質の程度の評価を需要家に通知する電力品質評価通知手段17とから構成される。
(First embodiment)
FIG. 1 is a configuration diagram of a power quality evaluation system according to the first embodiment of the present invention. The power quality evaluation system 11 is measured from a data collection means 12 that collects an electric quantity such as voltage and current measured by a measuring device installed in a consumer who is connected to the power system and receives power supply, and is measured from the power system. Power quality calculation means 13 for calculating the degree of power quality such as harmonics, voltage fluctuation, voltage imbalance, instantaneous voltage drop, etc. from the amount of power such as voltage and current, and the power quality obtained by the power quality calculation means 13 Power quality calculation value storage means 14 for storing the degree of power (hereinafter referred to as power quality value a), and a probability density function of the power quality value a is created from the power quality value a stored by the power quality calculation value storage means 14 The power quality probability density function creating means 15 and the probability density function of the power quality value a created by the power quality probability density function creating means 15 (hereinafter referred to as the power quality probability density function f). A preset value to determine the degree of power quality (hereinafter, power quality determination setting value a 0) and the power quality evaluation means 16 for evaluating the degree of power quality by using the, degree of power quality It is comprised from the electric power quality evaluation notification means 17 which notifies an evaluation to a consumer.

図2は、電力品質計算手段13で電力品質の程度を計算する際に使用する電力品質評価指標表の説明図である。電力品質評価指標表には、電力品質を表す代表的な項目、それら項目の程度を表す代表的な指標、指標の計算式が記述されている。電力品質を表す代表的な項目としては、例えば、高調波、電圧変動、電圧不平衡、瞬時電圧低下等がある。高調波は代表的な指標として総合ひずみ率があり、計算式は式(1)で表される。高調波分が小さい程、総合ひずみ率は小さく電力品質は良くなる。高調波分が全く無いと総合ひずみ率は零となる。   FIG. 2 is an explanatory diagram of a power quality evaluation index table used when the power quality calculation means 13 calculates the degree of power quality. The power quality evaluation index table describes typical items representing power quality, typical indices representing the degree of those items, and index calculation formulas. Typical items representing power quality include, for example, harmonics, voltage fluctuations, voltage imbalance, and instantaneous voltage drop. The harmonic has a general distortion rate as a typical index, and the calculation formula is expressed by the formula (1). The smaller the harmonic content, the smaller the overall distortion rate and the better the power quality. If there is no harmonic content, the total distortion will be zero.

総合ひずみ率=高調波分のみの実効値÷実効値 …(1)
電圧変動は指標として電圧変動率があり、計算式は式(2)で表される。電圧変動が小さい程、電圧変動率の絶対値は小さく電力品質は良くなる。電圧変動が全く無いと電圧変動率は零となる。電圧変動がプラス側であると電圧変動率はプラスになり、電圧変動がマイナス側であると電圧変動率はマイナスとなる。
Total distortion factor = RMS value only for harmonics ÷ RMS value (1)
The voltage fluctuation has a voltage fluctuation rate as an index, and the calculation formula is expressed by formula (2). The smaller the voltage fluctuation, the smaller the absolute value of the voltage fluctuation rate and the better the power quality. When there is no voltage fluctuation, the voltage fluctuation rate becomes zero. When the voltage fluctuation is positive, the voltage fluctuation rate is positive, and when the voltage fluctuation is negative, the voltage fluctuation rate is negative.

電圧変動率=電圧変動(の大きさ)÷基準電圧 …(2)
電圧不平衡は指標として電圧不平衡率がある。計算式は式(3)で表される。逆相電圧が小さい程電圧不平衡率は小さく、電力品質は良くなる。逆相電圧が全く無いと電圧変動率は零となる。
Voltage fluctuation rate = Voltage fluctuation (magnitude) ÷ Reference voltage (2)
Voltage unbalance has a voltage unbalance rate as an index. The calculation formula is expressed by Formula (3). The smaller the negative phase voltage, the smaller the voltage imbalance rate and the better the power quality. If there is no reverse phase voltage, the voltage fluctuation rate becomes zero.

電圧不平衡率=|逆相電圧|÷|正相電圧| …(3)
瞬時電圧低下(瞬低とも言われる)は指標として電圧低下率や瞬時電圧低下の継続時間がある。以下の説明では電圧低下率を考える。計算式は式(4)で表される。電圧低下量が小さい程電圧低下率は小さく電力品質は良くなる。電圧低下量が全く無いと電圧低下率は零となる。
Voltage imbalance ratio = | Reverse phase voltage | ÷ | Normal phase voltage |
Instantaneous voltage drop (also called instantaneous drop) includes a voltage drop rate and a duration of the instantaneous voltage drop as indicators. In the following description, the voltage drop rate is considered. The calculation formula is expressed by Formula (4). The smaller the amount of voltage drop, the smaller the voltage drop rate and the better the power quality. If there is no voltage drop amount, the voltage drop rate becomes zero.

電圧低下率=電圧低下量÷基準電圧 …(4)
図3は、電力品質評価システム11の中のデータ収集手段12、電力品質計算手段13および電力品質計算値保存手段14のブロック図である。需要家18に設置された計器用変圧器PTや計器用変流器CT等の計器用変成器19によって測定点の電圧、電流等の電気量が入力される。入力された電力量はアナログ量であるから、AD変換装置20によりアナログ量からデジタル量に変換される。デジタル量に変換された電気量は、伝送装置21により伝送系22を通じて、電気量データベース23に蓄えられる。
Voltage drop rate = Voltage drop amount / Reference voltage (4)
FIG. 3 is a block diagram of the data collection unit 12, the power quality calculation unit 13, and the power quality calculation value storage unit 14 in the power quality evaluation system 11. Electric quantities such as voltage and current at a measuring point are input by an instrument transformer 19 such as an instrument transformer PT and an instrument current transformer CT installed in the consumer 18. Since the input power amount is an analog amount, the AD converter 20 converts the analog amount into a digital amount. The electric quantity converted into the digital quantity is stored in the electric quantity database 23 through the transmission system 22 by the transmission device 21.

電気量データベース23に蓄えられた電気量は、電力品質計算手段13の電気量読み込み装置24によって読み込まれ、電力品質計算手段13の総合ひずみ率計算手段25で総合ひずみ率の電力品質値aが計算され、電圧変動率計算手段26で電圧変動率の電力品質値aが計算され、電圧不平衡率計算手段27で電圧不平衡率の電力品質値aが計算され、電圧低下率計算手段28で電圧低下率の電力品質値aが計算される。電力品質計算手段13で計算された電力品質値aは、電力品質計算値保存手段14によって電力品質値データベース29に保存される。 The electric quantity stored in the electric quantity database 23 is read by the electric quantity reading device 24 of the power quality calculation means 13, and the total distortion rate power quality value a 1 is obtained by the total distortion rate calculation means 25 of the power quality calculation means 13. The voltage fluctuation rate calculating means 26 calculates the power quality value a 2 of the voltage fluctuation rate, the voltage unbalance rate calculating means 27 calculates the power quality value a 3 of the voltage unbalance rate, and the voltage drop rate calculating means. power quality value a 4 of the voltage drop rate is calculated at 28. The power quality value a calculated by the power quality calculation unit 13 is stored in the power quality value database 29 by the power quality calculation value storage unit 14.

図4は、電力品質計算値保存手段における電力品質値データベースの一例を示す説明図である。電力品質値データベース29では、時系列に、総合ひずみ率の電力品質値a1n、電圧変動率の電力品質値a2n、電圧不平衡率の電力品質値a3n、電圧低下率の電力品質値a4nをデータベース化した一例を示している。電力品質値aは、図2の電力品質評価指標表で示した指標を、読み込まれた電力量を式(1)〜式(4)の計算式に従って計算した値である。 FIG. 4 is an explanatory diagram showing an example of a power quality value database in the power quality calculation value storage means. In the power quality value database 29, the power quality value a 1n of the total distortion rate, the power quality value a 2n of the voltage fluctuation rate, the power quality value a 3n of the voltage imbalance rate, and the power quality value a of the voltage drop rate are shown in time series. An example of database of 4n is shown. The power quality value “a” is a value obtained by calculating the index shown in the power quality evaluation index table of FIG. 2 according to the formulas (1) to (4) of the read power amount.

例えば、電力品質評価項目が高調波である場合、電力品質値aは、式(1)に従って計算された総合ひずみ率の電力品質値a1nである。電力品質評価項目が電圧変動の場合、電力品質値aは、式(2)に従って計算された電圧変動率の電力品質値a2nである。同様に、電力品質評価項目が電圧不平衡の場合、電力品質値aは、式(3)に従って計算された電圧不平衡率の電力品質値a3nである。同じく、電力品質評価項目が瞬時電圧低下の場合、電力品質値aは、式(4)に従って計算された電圧低下率の電力品質値a4nである。 For example, when the power quality evaluation item is a harmonic, the power quality value a is the power quality value a 1n of the total distortion rate calculated according to the equation (1). When the power quality evaluation item is voltage fluctuation, the power quality value a is the power quality value a 2n of the voltage fluctuation rate calculated according to the equation (2). Similarly, when the power quality evaluation item is voltage unbalance, the power quality value a is the power quality value a 3n of the voltage unbalance rate calculated according to Equation (3). Similarly, when the power quality evaluation item is instantaneous voltage drop, the power quality value a is the power quality value a 4n of the voltage drop rate calculated according to the equation (4).

図5は、電力品質確率密度関数作成手段15のブロック構成図である。電力品質値データベース29に保存された電力品質値aは、電力品質確率密度関数作成手段15の中の電力品質値集計手段30によって集計される。この集計された結果は、確率密度関数適用手段31に電力品質値集計結果Saとして出力され、確率密度関数適用手段31は電力品質値集計結果Saを用いて電力品質確率密度関数f(x)を作成する。   FIG. 5 is a block configuration diagram of the power quality probability density function creating means 15. The power quality value a stored in the power quality value database 29 is aggregated by the power quality value aggregation means 30 in the power quality probability density function creation means 15. The totaled results are output to the probability density function applying unit 31 as the power quality value totaling result Sa, and the probability density function applying unit 31 uses the power quality value totaling result Sa to calculate the power quality probability density function f (x). create.

図6は、電力品質値集計結果Saの一例を示すグラフである。電力品質値データベース29に保存された電力品質値aは、電力品質値集計手段30によって集計される。図6に示した電力品質値集計結果Saの一例は、図4に示した電力品質値データベース29から時刻tがある期間の電力品質値aを集計し、ヒストグラムにより表したものである。   FIG. 6 is a graph illustrating an example of the power quality value aggregation result Sa. The power quality value a stored in the power quality value database 29 is tabulated by the power quality value tabulating unit 30. An example of the power quality value tabulation result Sa shown in FIG. 6 is obtained by tabulating the power quality value a for a period of time t from the power quality value database 29 shown in FIG.

図6では、縦軸が度数、横軸が電力品質値aである。式(1)〜式(4)に示すように、電力品質値aが零のとき最も電力品質は良く、電力品質値aが零からプラス方向またはマイナス方向にいくにつれ電力品質は悪くなる。図6の一例は、電力品質値aがプラスマイナス両方向に値を持っており、電力品質値aは電圧変動率aとした場合が当てはまる。通常、電力品質値aが零の場合、すなわち、品質が最も良い場合が度数が大きく、品質が悪くなるにつれ度数は小さくなり、図6に示すような中央部が高く周辺部が小さくなるような形をしている。このような分布は確率分布に表されることが考えられる。 In FIG. 6, the vertical axis represents the frequency, and the horizontal axis represents the power quality value a. As shown in the equations (1) to (4), the power quality is the best when the power quality value a is zero, and the power quality becomes worse as the power quality value a goes from zero to the plus direction or minus direction. An example of FIG. 6, power quality value a has a value in the plus or minus directions, power quality value a may have a voltage variation rate a 2 applies. Normally, when the power quality value a is zero, that is, when the quality is the best, the frequency is large, and as the quality deteriorates, the frequency is small, and the central portion and the peripheral portion are small as shown in FIG. It has a shape. Such a distribution can be represented by a probability distribution.

図7は、電力品質値集計結果Saのヒストグラムを確率密度関数として正規分布に当てはめた一例を示すグラフである。正規分布の確率密度関数は式(5)で表わされる。式(5)において、xは電力品質値aである。   FIG. 7 is a graph showing an example in which a histogram of the power quality value aggregation result Sa is applied to a normal distribution as a probability density function. The probability density function of the normal distribution is expressed by equation (5). In equation (5), x is the power quality value a.

Figure 2006217709

図8は正規分布と標準偏差σとの関係を示した説明図である。図8に示すように、標準偏差1(以下1σ)に入る確率は68%、標準偏差2(以下2σ)に入る確率は95%、標準偏差3(以下3σ)に入る確率は99.73%である。
Figure 2006217709

FIG. 8 is an explanatory diagram showing the relationship between the normal distribution and the standard deviation σ. As shown in FIG. 8, the probability of entering standard deviation 1 (hereinafter 1σ) is 68%, the probability of entering standard deviation 2 (hereinafter 2σ) is 95%, and the probability of entering standard deviation 3 (hereinafter 3σ) is 99.73%. It is.

次に、電力品質評価手段16について説明する。電力品質の程度を判定するために、電力品質判定設定値aを用いる。まず、σ値を式(8)で定義する。 Next, the power quality evaluation unit 16 will be described. In order to determine the degree of power quality, the power quality determination set value a 0 is used. First, the σ value is defined by equation (8).

Figure 2006217709

図9は、電力品質判定設定値aに対し電力品質値aのばらつきの方が小さい場合の電力品質判定設定値aと正規分布との関係を示す説明図である。図9に示すように、電力品質判定設定値aに対し、電力品質値aのばらつきの方が小さい場合は電力品質判定設定値aのσ値は大きくなる。図9の場合はσ値は3σである。
Figure 2006217709

Figure 9 is an explanatory diagram showing the relationship between the power quality determination setting value a 0 and the normal distribution for better dispersion of power quality value a smaller relative power quality determination setting value a 0. As shown in FIG. 9, with respect to power quality determination set value a 0, sigma value of power quality determination setting value a 0 if towards the variations in power quality value a is smaller increases. In the case of FIG. 9, the σ value is 3σ.

図10は、電力品質判定設定値aに対し電力品質値aのばらつきの方が大きい場合の電力品質判定設定値aと正規分布との関係を示す説明図である。図10の場合ではσ値は1σである。このように、σ値が大きい程、電力品質判定設定値aに対し電力品質値aのばらつきの方が小さいと言え、電力品質は良いといえる。よって、σ値は電力品質の良さを示す尺度となる。 Figure 10 is an explanatory diagram showing the relationship between the power quality determination setting value a 0 and a normal distribution if greater in variation in the power quality value a relative power quality determination setting value a 0. In the case of FIG. 10, the σ value is 1σ. Thus, it can be said that the larger the σ value, the smaller the variation of the power quality value a with respect to the power quality determination set value a 0 , and the better the power quality. Therefore, the σ value is a scale indicating good power quality.

図11は、電力品質評価手段16のブロック構成図である。電力品質評価手段16では、まず、σ値計算手段32で式(8)を用いσ値を計算する。次に、σ値評価手段33において電力品質評価値αを出力する。   FIG. 11 is a block configuration diagram of the power quality evaluation unit 16. In the power quality evaluation unit 16, first, the σ value is calculated by the σ value calculation unit 32 using the equation (8). Next, the σ value evaluation means 33 outputs the power quality evaluation value α.

図12は、電力品質評価手段16での電力品質評価値αの算出に用いる電力品質評価表の説明図である。図12ではσ値の大きさによって電力品質を評価する場合を示している。すなわち、σ値が大きい程、電力品質は良いといえるから、図12の電力品質評価表に示すように、σ値の大きさによって電力品質の良い方から5段階に評価するようにしている。   FIG. 12 is an explanatory diagram of a power quality evaluation table used for calculating the power quality evaluation value α in the power quality evaluation means 16. FIG. 12 shows a case where the power quality is evaluated based on the magnitude of the σ value. That is, the larger the σ value is, the better the power quality is. Therefore, as shown in the power quality evaluation table of FIG.

図13は、電力品質評価通知手段17の説明図である。電力品質評価手段16で計算された電力品質評価値αは、電力品質評価通知手段17によって需要家18に通知される。電力品質評価通知手段17は、伝送装置21および伝送系22により構成され、電力品質評価値αを、例えば需要家18のサーバ34に伝送する。サーバ34に伝送された電力品質評価値αは、CRT等の表示装置35によって需要家18に通知される。   FIG. 13 is an explanatory diagram of the power quality evaluation notification means 17. The power quality evaluation value α calculated by the power quality evaluation means 16 is notified to the customer 18 by the power quality evaluation notification means 17. The power quality evaluation notifying unit 17 includes a transmission device 21 and a transmission system 22 and transmits the power quality evaluation value α to, for example, the server 34 of the customer 18. The power quality evaluation value α transmitted to the server 34 is notified to the customer 18 by a display device 35 such as a CRT.

第1の実施の形態によれば、電力系統から電力の供給を受ける需要家に設置された測定装置により測定した電気量をデータ収集手段12で収集し、電力品質の程度を示す複数の電力品質値を電力品質計算手段13で計算して、電力品質確率密度関数作成手段15で各電力品質値の確率密度関数を作成し、その電力品質値の電力品質確率密度関数と電力品質の程度を判定するために予め設定された電力品質判定設定値とを用いて電力品質の程度を評価するので、電力品質悪化を発生確率から評価できる。従って、電力品質の悪化を適正に評価できる。   According to the first embodiment, the amount of electricity measured by the measuring device installed in the consumer who receives power supplied from the power system is collected by the data collecting means 12, and a plurality of power qualities indicating the degree of power quality are shown. The power quality calculation means 13 calculates the value, the power quality probability density function creation means 15 creates a probability density function for each power quality value, and determines the power quality probability density function of the power quality value and the degree of power quality. Therefore, since the degree of power quality is evaluated using a preset power quality determination setting value, power quality deterioration can be evaluated from the occurrence probability. Therefore, it is possible to appropriately evaluate the deterioration of the power quality.

(第2の実施の形態)
図14は本発明の第2の実施の形態に係わる電力品質評価システム11の構成図である。この第2の実施の形態は、第1の実施の形態に対し、電力品質評価手段16は、電力品質確率密度関数作成手段15で作成された各電力品質毎の電力品質確率密度関数f(x)〜f(x)と電力品質判定設定値a10〜a40とを用いて総合的に電力品質の程度を評価するようにしたものである。
(Second Embodiment)
FIG. 14 is a configuration diagram of the power quality evaluation system 11 according to the second embodiment of the present invention. In the second embodiment, in contrast to the first embodiment, the power quality evaluation unit 16 uses a power quality probability density function f 1 (for each power quality created by the power quality probability density function creation unit 15. The degree of power quality is comprehensively evaluated using x) to f 4 (x) and the power quality determination set values a 10 to a 40 .

電力品質計算手段13は、高調波の電力品質値a、電圧変動の電力品質値a、電圧不平衡の電力品質a、瞬時電圧低下の電力品質値aを計算して電力品質計算値保存手段14に保存する。電力品質確率密度関数作成手段15は、電力品質計算値保存手段14に保存された高調波の電力品質値a、電圧変動の電力品質値a、電圧不平衡の電力品質a、瞬時電圧低下の電力品質値aについて、それぞれ電力品質確率密度関数f〜fを作成する。 The power quality calculation means 13 calculates a power quality by calculating a harmonic power quality value a 1 , a voltage fluctuation power quality value a 2 , a voltage imbalance power quality a 3 , and an instantaneous voltage drop power quality value a 4. The value is stored in the value storage unit 14. The power quality probability density function creating means 15 includes a harmonic power quality value a 1 , a voltage fluctuation power quality value a 2 , a voltage imbalance power quality a 3 , an instantaneous voltage stored in the power quality calculated value storage means 14. for power quality value a 4 reduction, respectively to create a power quality probability density function f 1 ~f 4.

第2の実施の形態では、電力品質評価手段16は、それぞれの電力品質の電力品質確率密度関数f〜fと、それぞれの電力品質判定設定値a10〜a40とを用いて、電力品質評価を総合的に行う。電力品質評価手段16での電力品質評価値αは、第1の実施の形態と同様に、電力品質評価通知手段17によって需要家18に通知される。 In the second embodiment, the power quality evaluation unit 16 uses the power quality probability density functions f 1 to f 4 of each power quality and the power quality determination setting values a 10 to a 40 to Comprehensive quality assessment. The power quality evaluation value α in the power quality evaluation means 16 is notified to the customer 18 by the power quality evaluation notification means 17 as in the first embodiment.

電力品質評価手段16において行う電力品質評価方法としては以下のものがある。   The power quality evaluation method performed in the power quality evaluation means 16 includes the following.

まず、個々の電力品質の電力品質確率密度関数f〜fと電力品質判定設定値a10〜a40とを用いて、個々の電力品質の電力品質判定設定値a10〜a40以内に入る確率を求める。 First, by using the power quality probabilities of the individual power quality density function f 1 ~f 4 and power quality determination set value a 10 ~a 40, power quality judgment setting values of individual power quality a 10 ~a 40 within Find the probability of entering.

電力品質値aの電力品質判定設定値a10以内に入る確率をP1(x)(−a10≦x≦a10)とすると、その確率は式(9)で求めることができる。 When the probability that the power quality value a 1 falls within the power quality determination setting value a 10 is P1 (x) (−a 10 ≦ x ≦ a 10 ), the probability can be obtained by Expression (9).

Figure 2006217709

ここで、f(x)は、電力品質Aの確率密度関数で式(5)で与えられる。また、a10は電力品質値aの電力品質判定設定値である。
Figure 2006217709

Here, f 1 (x) is a probability density function of power quality A and is given by equation (5). Also, a 10 is the power quality judgment setting value of power quality value a 1.

同様にして、電圧変動の電力品質値a、電圧不平衡の電力品質a、瞬時電圧低下の電力品質値aに対しても、それぞれの電力品質判定設定値a20〜a40以内に入る確率を求めることができ、電力品質aのP1(x)と同様に、それぞれ、P2(x)、P3(x)、P4(x)とすれば、これらP2(x)、P3(x)、P4(x)から求めることができる。 Similarly, the power quality value a 2 of voltage fluctuation, the power quality a 3 of voltage imbalance, and the power quality value a 4 of instantaneous voltage drop are within the respective power quality determination set values a 20 to a 40 . P2 (x), P3 (x), and P3 (x), P3 (x), and P4 (x), respectively, as in P1 (x) of power quality a 1 ), P4 (x).

高調波の電力品質値a、電圧変動の電力品質値a、電圧不平衡の電力品質a、瞬時電圧低下の電力品質値aに対し、その全てが電力品質判定設定値a10〜a40以内に入る確率をP(x)とすると、その確率P(x)は式(10)で表される。 The harmonic power quality value a 1 , the voltage fluctuation power quality value a 2 , the voltage imbalance power quality a 3 , and the instantaneous voltage drop power quality value a 4 , all of which are power quality determination set values a 10 to If the probability of entering within a 40 is P (x), the probability P (x) is expressed by equation (10).

P(x)=P1(x)×P2(x)×P3(x)×P4(x) …(10)
また、高調波の電力品質値a、電圧変動の電力品質値a、電圧不平衡の電力品質a、瞬時電圧低下の電力品質値aに対し、そのどれか一つでも電力品質判定設定値a10〜a40より外れる確率をPnot(x)とすると、その確率Pnot(x)は式(11)で表される。
P (x) = P1 (x) × P2 (x) × P3 (x) × P4 (x) (10)
Further, any one of the harmonic power quality value a 1 , the voltage fluctuation power quality value a 2 , the voltage imbalance power quality a 3 , and the instantaneous voltage drop power quality value a 4 is determined. Assuming that the probability of deviating from the set values a 10 to a 40 is Pnot (x), the probability Pnot (x) is expressed by Expression (11).

Pnot(x)=1−P(x)
=1−P1(x)×P2(x)×P3(x)×P3(x)…(11)
Pnot(x)が小さい程、また、P(x)が大きい程、電力品質が良いことから、電力品質評価値αは図15の表のように示される。図15は、第2の実施の形態における電力品質評価手段16での電力品質評価値αの算出に用いる電力品質評価表の説明図である。図15ではP(x)の大きさと電力品質評価値αの関係の一例を示しており、P(x)が大きい程、電力品質は良いといえるから、図15の表に示すように、P(x)の大きさによって電力品質の良い方から5段階に評価するようにしている。なお、図16は、P(x)と標準偏差σの関係を示す参考図である。
Pnot (x) = 1−P (x)
= 1−P1 (x) × P2 (x) × P3 (x) × P3 (x) (11)
Since the power quality is better as Pnot (x) is smaller and P (x) is larger, the power quality evaluation value α is shown in the table of FIG. FIG. 15 is an explanatory diagram of a power quality evaluation table used for calculation of the power quality evaluation value α in the power quality evaluation unit 16 in the second embodiment. FIG. 15 shows an example of the relationship between the magnitude of P (x) and the power quality evaluation value α. The larger the P (x), the better the power quality. As shown in the table of FIG. According to the size of (x), the evaluation is made in five stages from the one with the best power quality. FIG. 16 is a reference diagram showing the relationship between P (x) and standard deviation σ.

第2の実施の形態によれば、電力品質評価手段16により、電力品質確率密度関数作成手段15で作成された各電力品質毎の電力品質確率密度関数と電力品質判定設定値とを用いて総合的に電力品質の程度を評価するので、より精度よく電力品質を判定できる。   According to the second embodiment, the power quality evaluation unit 16 comprehensively uses the power quality probability density function and the power quality determination setting value for each power quality created by the power quality probability density function creation unit 15. Therefore, the power quality can be judged more accurately because the degree of power quality is evaluated.

(第3の実施の形態)
図17は、本発明の第3の実施の形態に係わる電力品質評価システム11の構成図である。この第3の実施の形態は、第1の実施の形態に対し、電力品質評価手段16で評価された電力品質の程度の時系列推移や頻度を評価する時系列評価手段36を追加して設け、電力品質評価通知手段17は時系列評価手段36で評価された電力品質の程度の時系列推移や頻度を需要家に通知するようにしたものである。
(Third embodiment)
FIG. 17 is a configuration diagram of the power quality evaluation system 11 according to the third embodiment of the present invention. In the third embodiment, a time series evaluation unit 36 for evaluating the time series transition and frequency of the degree of power quality evaluated by the power quality evaluation unit 16 is added to the first embodiment. The power quality evaluation notifying means 17 notifies the customer of the time series transition and frequency of the degree of power quality evaluated by the time series evaluating means 36.

時系列評価手段36は、電力品質評価手段16で評価された電力品質の程度を表す電力品質評価値αの時系列推移や頻度を評価する。図18は、一週間の電力品質の程度の変化をσ値で表した一例を示す変化推移図あり、図19は需要家の一週間の稼働率の変化の一例を示す変化推移図である。図18および図19を比べると、稼働率が大きいとσ値は小さく、また稼働率が小さいとσ値は大きいことが分かる。図20は、このσ値と稼働率との関係を表した相関図である。図20からσ値と稼働率との間に負の相関があることがわかる。   The time series evaluation unit 36 evaluates the time series transition and frequency of the power quality evaluation value α representing the degree of power quality evaluated by the power quality evaluation unit 16. FIG. 18 is a change transition diagram showing an example in which a change in the degree of power quality in one week is expressed by a σ value, and FIG. 19 is a change transition diagram showing an example of a change in the operation rate of a customer for one week. Comparing FIG. 18 and FIG. 19, it can be seen that the σ value is small when the operation rate is large, and the σ value is large when the operation rate is small. FIG. 20 is a correlation diagram showing the relationship between the σ value and the operating rate. FIG. 20 shows that there is a negative correlation between the σ value and the operating rate.

第3の実施の形態によれば、時系列評価手段36により、電力品質の程度の時系列推移や頻度を評価するので、電力品質悪化の要因の原因を推定することができる。   According to the third embodiment, the time series evaluation means 36 evaluates the time series transition and frequency of the degree of power quality, so the cause of the power quality deterioration factor can be estimated.

(第4の実施の形態)
図21は、本発明の第4の実施の形態に係わる電力品質評価システム11の構成図である。この第4の実施の形態は、第3の実施の形態に対し、時系列評価手段36で評価された電力品質の程度の時系列推移や頻度に基づいて電力品質悪化の要因を推定する電力品質悪化要因推定手段37を追加して設け、電力品質評価通知手段17は電力品質悪化要因推定手段37で推定した電力品質悪化の要因を需要家に通知するようにしたものである。
(Fourth embodiment)
FIG. 21 is a configuration diagram of the power quality evaluation system 11 according to the fourth embodiment of the present invention. The fourth embodiment is different from the third embodiment in that the power quality for estimating the factor of power quality deterioration based on the time series transition and frequency of the degree of power quality evaluated by the time series evaluation means 36. The deterioration factor estimation means 37 is additionally provided, and the power quality evaluation notification means 17 notifies the consumer of the factor of the power quality deterioration estimated by the power quality deterioration factor estimation means 37.

電力品質悪化要因推定手段37は、時系列評価手段36で評価された電力品質の程度の時系列推移や頻度に基づいて電力品質悪化の要因を推定する。図22は、ある需要家Aの一週間の電力品質の程度の変化をσ値で表した一例を示す変化推移図である。図23は、ある需要家Bの一週間の電力品質の程度の変化をσ値で表した一例を示す変化推移図である。電力品質悪化要因推定手段37は、時系列評価手段36で評価された図22や図23で示される電力品質の程度の時系列推移や頻度を入力し、これらを対比することにより、電力品質悪化の要因を推定する。例えば、図22および図23の変化傾向から、需要家Aと需要家Bの間に相関がありそうなことが分かる。   The power quality deterioration factor estimation means 37 estimates the power quality deterioration factor based on the time series transition and frequency of the power quality degree evaluated by the time series evaluation means 36. FIG. 22 is a change transition diagram showing an example in which a change in the degree of power quality in one week of a consumer A is expressed by a σ value. FIG. 23 is a change transition diagram showing an example in which a change in the degree of power quality for a certain customer B in one week is represented by a σ value. The power quality deterioration factor estimating means 37 inputs the time series transition and frequency of the degree of power quality shown in FIG. 22 and FIG. 23 evaluated by the time series evaluation means 36, and compares these to compare the power quality deterioration. Estimate the factors. For example, it can be seen from the change trends in FIGS. 22 and 23 that there is a likely correlation between customer A and customer B.

図24は対象とする需要家が、需要家A、需要家B、需要家C、需要家D、需要家Eである場合の各需要家間の一週間のσ値の相関度を表した一例の相関図である。図24の相関度から、需要家A、需要家B、需要家C間の相関度は1に近く高いが、他の相関度は0に近く低いことが分かる。これらから、需要家A、需要家B、需要家Cの電力品質の悪化には共通するものがあるが、他はないことが分かる。   FIG. 24 shows an example of the correlation degree of σ value for one week between each customer when the target customers are customer A, customer B, customer C, customer D, and customer E. FIG. From the degree of correlation shown in FIG. 24, it can be seen that the degree of correlation among customer A, customer B, and customer C is close to 1, but the other degree of correlation is close to 0. From these, it can be seen that although there is a common deterioration in power quality of customer A, customer B, and customer C, there is nothing else.

図25はある需要家A、需要家B、需要家C、需要家D、需要家Eの一週間のσ値と、ある隣接工場F、工場G、工場H、工場I、工場Jの一週間の稼動率の相関度とを表した一例の相関図である。図25の相関度から、需要家A、需要家B、需要家Cと、工場Fとに−0.6から−0.7の弱い負の相関があることが分かり、また、需要家A、需要家B、需要家Cと工場Gのと間に1に近い強い負の相関があることが分かる。これらから、需要家A、需要家B、需要家Cの電力品質悪化の主要因は工場Gであり、若干、工場Fが影響していることが分かる。電力品質悪化の要因の推定結果は、電力品質評価通知手段17によって各需要家に通知される。   FIG. 25 shows a weekly σ value of a customer A, customer B, customer C, customer D, customer E, and a week of a certain adjacent factory F, factory G, factory H, factory I, factory J. It is an example of the correlation diagram showing the correlation degree of the operation rate. From the degree of correlation in FIG. 25, it can be seen that consumer A, consumer B, consumer C, and factory F have a weak negative correlation of −0.6 to −0.7. It can be seen that there is a strong negative correlation close to 1 between the customer B, the customer C, and the factory G. From these, it can be seen that the main factor of the deterioration in power quality of the customer A, the customer B, and the customer C is the factory G, and the factory F has some influence. The estimation result of the cause of the power quality deterioration is notified to each consumer by the power quality evaluation notification means 17.

第4の実施の形態によれば、電力品質の程度の時系列推移や頻度を評価し、複数の需要家や工場の稼働率間の相関を調査することにより、電力品質悪化の要因を推定することができる。   According to the fourth embodiment, the time series transition and frequency of the degree of power quality are evaluated, and the factor of power quality deterioration is estimated by investigating the correlation between the operating rates of a plurality of customers and factories. be able to.

本発明の第1の実施の形態に係わる本発明の第1の実施の形態に係わる電力品質評価システムの構成図。The block diagram of the electric power quality evaluation system concerning the 1st Embodiment of this invention concerning the 1st Embodiment of this invention. 本発明の第1の実施の形態における電力品質計算手段で電力品質の程度を計算する際に使用する電力品質評価指標表の説明図Explanatory drawing of the electric power quality evaluation index table | surface used when calculating the grade of electric power quality by the electric power quality calculation means in the 1st Embodiment of this invention. 本発明の第1の実施の形態に係わる電力品質評価システムの中のデータ収集手段、電力品質計算手段および電力品質計算値保存手段のブロック図。1 is a block diagram of data collection means, power quality calculation means, and power quality calculation value storage means in the power quality evaluation system according to the first embodiment of the present invention. 本発明の第1の実施の形態における電力品質値データベースの一例を示す説明図。Explanatory drawing which shows an example of the power quality value database in the 1st Embodiment of this invention. 本発明の第1の実施の形態における電力品質確率密度関数作成手段のブロック構成図。The block block diagram of the power quality probability density function preparation means in the 1st Embodiment of this invention. 本発明の第1の実施の形態における電力品質確率密度関数作成手段で集計した電力品質値の電力品質値集計結果の一例を示すグラフである。It is a graph which shows an example of the power quality value total result of the power quality value totaled by the power quality probability density function creation means in the 1st embodiment of the present invention. 本発明の第1の実施の形態における電力品質確率密度関数作成手段で集計した電力品質値の電力品質値集計結果のヒストグラムを確率密度関数として正規分布に当てはめた一例を示すグラフである。It is a graph which shows an example which applied the histogram of the power quality value total result of the power quality value totaled by the power quality probability density function creation means in the 1st embodiment of the present invention to a normal distribution as a probability density function. 正規分布と標準偏差の関係を示した説明図。Explanatory drawing which showed the relationship between normal distribution and standard deviation. 電力品質判定設定値に対し電力品質値のばらつきの方が小さい場合の電力品質判定設定値と正規分布との関係を示す説明図。Explanatory drawing which shows the relationship between the power quality determination setting value and normal distribution in case the variation in power quality value is smaller than the power quality determination setting value. 電力品質判定設定値に対し電力品質値aのばらつきの方が大きい場合の電力品質判定設定値と正規分布との関係を示す説明図。Explanatory drawing which shows the relationship between the power quality determination setting value and normal distribution in case the variation of the power quality value a is larger than the power quality determination setting value. 本発明の第1の実施の形態における電力品質評価手段のブロック構成図。The block block diagram of the electric power quality evaluation means in the 1st Embodiment of this invention. 本発明の第1の実施の形態における電力品質評価手段で電力品質評価値の算出に用いる電力品質評価表の説明図。Explanatory drawing of the electric power quality evaluation table | surface used for calculation of an electric power quality evaluation value in the electric power quality evaluation means in the 1st Embodiment of this invention. 本発明の第1の実施の形態における電力品質評価通知手段の説明図。Explanatory drawing of the power quality evaluation notification means in the 1st Embodiment of this invention. 本発明の第2の実施の形態に係わる電力品質評価システムの構成図。The block diagram of the electric power quality evaluation system concerning the 2nd Embodiment of this invention. 本発明の第2の実施の形態における電力品質評価手段での電力品質評価値の算出に用いる電力品質評価表の説明図。Explanatory drawing of the power quality evaluation table | surface used for calculation of the power quality evaluation value in the power quality evaluation means in the 2nd Embodiment of this invention. 本発明の第2の実施の形態におけるP(x)と標準偏差σとの関係を示す参考図。The reference diagram which shows the relationship between P (x) and the standard deviation (sigma) in the 2nd Embodiment of this invention. 本発明の第3の実施の形態に係わる電力品質評価システムの構成図。The block diagram of the electric power quality evaluation system concerning the 3rd Embodiment of this invention. 本発明の第3の実施の形態における時系列評価手段で電力品質の程度の時系列推移や頻度の評価を行う際の一例として一週間の電力品質の程度の変化をσ値で表した一例を示す変化推移図。An example in which a change in the degree of power quality for one week is expressed by a σ value as an example when the time series evaluation means in the third embodiment of the present invention evaluates the time series transition and frequency of the degree of power quality. The change transition diagram shown. 本発明の第3の実施の形態における時系列評価手段で電力品質の程度の時系列推移や頻度の評価を行う際の一例として需要家の一週間の稼働率の変化の一例を示す変化推移図。A change transition diagram showing an example of a change in the operation rate of one week of a consumer as an example when performing a time series transition and a frequency evaluation of the degree of power quality by the time series evaluation unit in the third embodiment of the present invention . 図18のσ値と図19の稼働率との関係を表した相関図。FIG. 20 is a correlation diagram showing the relationship between the σ value of FIG. 18 and the availability of FIG. 本発明の第4の実施の形態に係わる電力品質評価システムの構成図。The block diagram of the electric power quality evaluation system concerning the 4th Embodiment of this invention. 本発明の第4の実施の形態における電力品質悪化要因推定手段で電力品質の程度から電力品質悪化の要因の推定を行う際の一例として需要家Aの一週間の電力品質の程度の変化をσ値で表した一例を示す変化推移図。As an example of estimating the power quality deterioration factor from the power quality level by the power quality deterioration factor estimation unit according to the fourth embodiment of the present invention, the change in the power quality level of the customer A for one week is represented by σ. The change transition diagram which shows an example represented with the value. 本発明の第4の実施の形態における電力品質悪化要因推定手段で電力品質の程度から電力品質悪化の要因の推定を行う際の一例として需要家Bの一週間の電力品質の程度をσ値で表した例である。As an example when estimating the factor of power quality deterioration from the degree of power quality by the power quality deterioration factor estimating means in the fourth embodiment of the present invention, the degree of power quality for one week of customer B is represented by σ value. This is an example. 本発明の第4の実施の形態における電力品質悪化要因推定手段で電力品質の程度から電力品質悪化の要因の推定を行う際の一例として対象とする需要家が、需要家A、需要家B、需要家C、需要家D、需要家Eであった場合の各需要家間の一週間のσ値の相関度を表した一例の相関図。As an example when estimating the factor of power quality deterioration from the degree of power quality by the power quality deterioration factor estimating means in the fourth embodiment of the present invention, the target customers are customer A, customer B, The correlation diagram of an example showing the correlation degree of the (sigma) value of one week between each consumer at the time of being the consumer C, the consumer D, and the consumer E. 本発明の第4の実施の形態における電力品質悪化要因推定手段で電力品質の程度から電力品質悪化の要因の推定を行う際の一例として需要家A、需要家B、需要家C、需要家D、需要家Eの一週間のσ値と、隣接工場F、工場G、工場H、工場I、工場Jの一週間の稼動率の相関度を表した一例の相関図。As an example when estimating the factor of power quality deterioration from the degree of power quality by the power quality deterioration factor estimating means in the fourth embodiment of the present invention, customer A, customer B, customer C, customer D The correlation diagram of an example showing the correlation degree of the weekly sigma value of the customer E and the operation rate of the adjacent factory F, the factory G, the factory H, the factory I, and the factory J for one week.

符号の説明Explanation of symbols

11…電力品質評価システム、12…データ収集手段、13…電力品質計算手段、14…電力品質計算値保存手段、15…電力品質確率密度関数作成手段、16…電力品質評価手段、17…電力品質評価通知手段、18…需要家、19…計器用変成器、20…AD変換装置、21…伝送装置、22…伝送系、23…電気量データベース、24…電気量読み込み装置、25…総合ひずみ率計算手段、26…電圧変動率計算手段、27…電圧不平衡率計算手段、28…電圧低下率計算手段、29…電力品質値データベース、30…電力品質値集計手段、31…確率密度関数適用手段、32…σ値計算手段、33…σ値評価手段、34…サーバ、35…表示装置、36…時系列評価手段、37…電力品質悪化要因推定手段
DESCRIPTION OF SYMBOLS 11 ... Electric power quality evaluation system, 12 ... Data collection means, 13 ... Electric power quality calculation means, 14 ... Electric power quality calculation value storage means, 15 ... Electric power quality probability density function creation means, 16 ... Electric power quality evaluation means, 17 ... Electric power quality Evaluation notifying means, 18 ... customer, 19 ... instrument transformer, 20 ... AD converter, 21 ... transmission device, 22 ... transmission system, 23 ... electric quantity database, 24 ... electric quantity reading device, 25 ... total distortion Calculation means 26 ... Voltage fluctuation rate calculation means 27 ... Voltage imbalance rate calculation means 28 ... Voltage drop rate calculation means 29 ... Power quality value database 30 ... Power quality value aggregation means 31 ... Probability density function application means 32 ... σ value calculating means, 33 ... σ value evaluating means, 34 ... server, 35 ... display device, 36 ... time series evaluating means, 37 ... power quality deterioration factor estimating means

Claims (4)

電力系統から電力の供給を受ける需要家に設置された測定装置により測定した電気量をデータ伝送装置によって収集するデータ収集手段と、
前記データ収集手段によって収集された電気量から電力品質の程度を示す複数の電力品質値を計算する電力品質計算手段と、
前記電力品質計算手段によって得られた各電力品質値を保存する電力品質計算値保存手段と、
前記電力品質計算値保存手段によって保存された各電力品質値から各電力品質値の確率密度関数を作成する電力品質確率密度関数作成手段と、
前記電力品質確率密度関数作成手段によって作成された電力品質値の電力品質確率密度関数と電力品質の程度を判定するために予め設定された電力品質判定設定値とを用いて電力品質の程度を評価する電力品質評価手段と、
前記電力品質評価手段によって得られた電力品質の程度の評価を前記需要家に通知する電力品質評価通知手段とを備えたことを特徴とする電力品質評価システム。
Data collection means for collecting the amount of electricity measured by a measurement device installed in a consumer who receives power supply from the power system by a data transmission device;
Power quality calculation means for calculating a plurality of power quality values indicating the degree of power quality from the amount of electricity collected by the data collection means;
Power quality calculation value storage means for storing each power quality value obtained by the power quality calculation means;
A power quality probability density function creating means for creating a probability density function of each power quality value from each power quality value stored by the power quality calculated value storing means;
Evaluating the degree of power quality using the power quality probability density function of the power quality value created by the power quality probability density function creating means and the power quality judgment setting value preset to judge the degree of power quality Power quality evaluation means to
An electric power quality evaluation system comprising: an electric power quality evaluation notification means for notifying the consumer of an evaluation of the degree of electric power quality obtained by the electric power quality evaluation means.
前記電力品質評価手段は、前記電力品質確率密度関数作成手段で作成された各電力品質毎の電力品質確率密度関数と電力品質判定設定値とを用いて総合的に電力品質の程度を評価することを特徴とする請求項1記載の電力品質評価システム。   The power quality evaluation means comprehensively evaluates the degree of power quality using the power quality probability density function and the power quality determination setting value for each power quality created by the power quality probability density function creation means. The power quality evaluation system according to claim 1. 前記電力品質評価手段で評価された電力品質の程度の時系列推移や頻度を評価する時系列評価手段を備え、前記電力品質評価通知手段は前記時系列評価手段で評価された電力品質の程度の時系列推移や頻度を前記需要家に通知することを特徴とする請求項1または2記載の電力品質評価システム。   Time series evaluation means for evaluating the time series transition and frequency of the degree of power quality evaluated by the power quality evaluation means, and the power quality evaluation notification means indicates the degree of power quality evaluated by the time series evaluation means. The power quality evaluation system according to claim 1 or 2, wherein a time series transition and frequency are notified to the consumer. 前記時系列評価手段で評価された電力品質の程度の時系列推移や頻度に基づいて電力品質悪化の要因を推定する電力品質悪化要因推定手段を備え、前記電力品質評価通知手段は前記電力品質悪化要因推定手段で推定した電力品質悪化の要因を前記需要家に通知することを特徴とする請求項3記載の電力品質評価システム。   A power quality deterioration factor estimating means for estimating a factor of power quality deterioration based on a time series transition and frequency of the degree of power quality evaluated by the time series evaluation means, and the power quality evaluation notifying means includes the power quality deterioration notifying means. 4. The power quality evaluation system according to claim 3, wherein a factor of power quality deterioration estimated by the factor estimating means is notified to the consumer.
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