JPH06205534A - Demand control apparatus - Google Patents

Demand control apparatus

Info

Publication number
JPH06205534A
JPH06205534A JP4102437A JP10243792A JPH06205534A JP H06205534 A JPH06205534 A JP H06205534A JP 4102437 A JP4102437 A JP 4102437A JP 10243792 A JP10243792 A JP 10243792A JP H06205534 A JPH06205534 A JP H06205534A
Authority
JP
Japan
Prior art keywords
demand
time
temporary
temporary prediction
calculation means
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
JP4102437A
Other languages
Japanese (ja)
Inventor
Yuji Sawaguchi
勇治 沢口
Kunio Satodate
邦男 里館
Jun Abe
純 阿部
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Osaki Electric Co Ltd
Original Assignee
Osaki Electric Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Osaki Electric Co Ltd filed Critical Osaki Electric Co Ltd
Priority to JP4102437A priority Critical patent/JPH06205534A/en
Publication of JPH06205534A publication Critical patent/JPH06205534A/en
Pending legal-status Critical Current

Links

Classifications

    • 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

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  • Supply And Distribution Of Alternating Current (AREA)

Abstract

PURPOSE:To control the influence due to a temporary load variation and perform an effective demand control through an improvement in stability of a working power prediction value, by providing a plurality of temporary prediction calculation means and fuzzy calculation means for calculating a single estimation value from temporary prediction values. CONSTITUTION:A demand control apparatus comprises a plurality of temporary prediction calculation means 7 and 8 for calculating temporary prediction values which are a working power at the end point in time of a demand timing, and storage means 11 in which a membership function for weighting temporary prediction values obtained by the temporary prediction calculation means 7 and 8 is stored. It is determined which classification the remaining time of the demand timing indicated by remaining time count means 10 belongs to, and a plurality of the temporary prediction values obtained by a plurality of the temporary prediction calculation means 7 and 8 based on the membership function of the storage means 11 corresponding to the classification are individually weighted, and a single estimation value is calculated from the temporary prediction values by fuzzy calculation means 9, 12 and 13.

Description

【発明の詳細な説明】Detailed Description of the Invention

【0001】[0001]

【産業上の利用分野】本発明は、デマンド時限における
使用電力が契約電力を越えないように制御するデマンド
コントロ−ル装置の改良に関するものである。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an improvement of a demand control device for controlling power consumption during demand time so as not to exceed contracted power.

【0002】[0002]

【従来の技術】一般に大口の電力需要家は電力会社と使
用電力に関してデマンド契約を結ぶため、決められた時
限内(一般的には30分)の使用電力が契約電力を越え
ないようにしなければならない。もし契約電力を越えた
とすると、電力会社より過料金が請求されることにな
る。
2. Description of the Related Art Generally, a large amount of electric power consumers have a demand contract with an electric power company for use of electric power. Therefore, it is necessary to prevent the electric power used within a predetermined time period (generally 30 minutes) from exceeding the contracted electric power. I won't. If the contracted power is exceeded, the power company will charge an overcharge.

【0003】このため、需要家は契約電力をできる限り
低く抑え、契約電力を越えない範囲で可能な限り設備の
稼動率を高める必要が生じる。このような目的の為、電
力使用量をもとにその変化量を常に監視し、時限毎の使
用電力を連続的に予測し、契約電力を超過する恐れが生
じたときは警告を発し、あるいは自動的に負荷遮断を行
うデマンドコントロ−ル装置が設けられている。
Therefore, it is necessary for the consumer to keep the contract power as low as possible and increase the operating rate of the facility as much as possible within the range not exceeding the contract power. For this purpose, the amount of change is constantly monitored based on the amount of power used, the amount of power used at each time period is continuously predicted, and a warning is issued when the contracted power may be exceeded, or A demand control device for automatically cutting off the load is provided.

【0004】[0004]

【発明が解決しようとする課題】この装置において従来
より行われている使用電力予測方式について、図5を用
いて説明する。
A power consumption prediction method conventionally used in this apparatus will be described with reference to FIG.

【0005】デマンド時限T内において、一定のサンプ
リング時間Δtにおける使用電力(使用電力増加分)を
サンプリングする。
Within the demand time period T, the electric power used (increase in the electric power used) at a constant sampling time Δt is sampled.

【0006】この時、(n−1)回目、及び、n回目の
サンプリング時の使用電力をそれぞれPn-1 ,Pn とし
て、n回目のサンプリング時点におけるデマンド時限T
内の使用電力予測値Rn は、次のように求められる。
At this time, the power consumption at the (n-1) -th sampling and the n-th sampling is set to P n-1 and P n , respectively, and the demand time period T at the time of the n-th sampling.
The used power predicted value R n in the above is calculated as follows.

【0007】 Rn =Pn +{(Pn −Pn-1 )/Δt}×(T−tn ) ………(1) ここで、tn はデマンド時限の開始時点からn回目のサ
ンプリング時点までの経過時間を示す。
R n = P n + {(P n −P n−1 ) / Δt} × (T−t n ) ... (1) Here, t n is the n-th time from the start time of the demand time period. The elapsed time up to the point of sampling is shown.

【0008】この方式によって得られた使用電力予測値
n は、n回目のサンプリングにおける使用電力の変化
量が、n回目以降のサンプリング時においてもサンプリ
ング毎に同じであると仮定して算出された値であるた
め、負荷の一時変化が予測値の大きな変動要因となり、
特に前記(1)の予測演算式より、明らかにデマンド時
限Tの開始時点からn回目のサンプリング時点までの経
過時間tn が該デマンド時限Tに比べて小さい時程、つ
まりデマンド時限の残り時間が多い程顕著となる。
The power consumption prediction value R n obtained by this method is calculated on the assumption that the amount of change in power consumption at the nth sampling is the same for each sampling even at the nth sampling and thereafter. Since it is a value, the temporary change of the load becomes a large fluctuation factor of the predicted value,
In particular, from the predictive calculation formula of (1) above, it is apparent that the elapsed time t n from the start time of the demand time period T to the n-th sampling time is smaller than the demand time period T, that is, the remaining time of the demand time period. The greater the number, the more prominent.

【0009】したがって、デマンド制御において、予測
電力と契約電力の大小比較を基準として警報制御、及び
負荷制御(遮断・復帰)を行う場合、このような負荷の
一時的変動による使用電力予測値の過大は不必要な負荷
遮断をもたらすといった問題点を有している。
Therefore, in demand control, when alarm control and load control (interruption / recovery) are performed based on the comparison of the predicted power and the contracted power, the predicted power consumption due to such temporary load fluctuations is excessive. Has a problem of causing unnecessary load shedding.

【0010】本発明の目的は、上記の点に鑑み、一時的
な負荷変動による影響を抑制し、使用電力予測値の安定
度を向上させて効果的なデマンド制御を行うことのでき
るデマンドコントロ−ル装置を提供することである。
In view of the above points, an object of the present invention is to provide a demand control capable of suppressing the influence of a temporary load change, improving the stability of a predicted value of power consumption, and performing effective demand control. To provide a device.

【0011】[0011]

【課題を解決するための手段】本発明は、デマンド時限
終了時点での使用電力である仮予測値の算出をそれぞれ
異なる演算形式により個々に行う複数の仮予測演算手段
と、デマンド時限を残り時間の大きさによって複数の領
域に分類すると共に、各分類毎に、前記複数の仮予測演
算手段により得られる仮予測値それぞれに重み付けをな
すべく少なくとも一つのメンバシップ関数を記憶した記
憶手段と、残時間計数手段より指示されるデマンド時限
の残り時間がどの分類に属するかを判別し、この分類に
対応する、前記記憶手段に記憶されたメンバシップ関数
を参照し、該メンバシップ関数に基づいて前記複数の仮
予測演算手段にて得られる複数の仮予測値に個別に重み
付けをなし、該複数の重み付き仮予測値から単一の予測
値を算出するファジィ演算手段とを備えている。
SUMMARY OF THE INVENTION According to the present invention, a plurality of provisional prediction calculation means for individually calculating a provisional prediction value, which is the power consumption at the end of the demand time limit, by different calculation formats, and a demand time limit for the remaining time. And a storage means for storing at least one membership function for weighting each of the provisional prediction values obtained by the plurality of provisional prediction calculation means for each classification. It is determined which category the remaining time of the demand time period designated by the time counting means belongs to, the membership function stored in the storage means corresponding to this category is referred to, and the membership function is based on the membership function. A file that individually weights a plurality of temporary prediction values obtained by a plurality of temporary prediction calculation means, and calculates a single predicted value from the plurality of weighted temporary prediction values. And a I calculation means.

【0012】[0012]

【作用】ファジィ演算手段は、残時間計数手段より指示
されるデマンド時限の残り時間がどの分類に属するかを
判別し、この分類に対応する、記憶手段に記憶されたメ
ンバシップ関数を参照し、該メンバシップ関数に基づい
て複数の仮予測演算手段にて得られる複数の仮予測値に
個別に重み付けをなし、該複数の重み付き仮予測値から
単一の予測値を算出する。
The fuzzy calculation means determines to which classification the remaining time of the demand time period indicated by the remaining time counting means belongs, and refers to the membership function stored in the storage means corresponding to this classification, A plurality of temporary prediction values obtained by a plurality of temporary prediction calculation means are individually weighted based on the membership function, and a single predicted value is calculated from the plurality of weighted temporary prediction values.

【0013】[0013]

【実施例】以下、本発明を図示の実施例に基づいて詳細
に説明する。
DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described in detail below based on the illustrated embodiments.

【0014】図1は本発明の一実施例において用いるメ
ンバシップ関数を示す図であり、ここではデマンド時限
をTD 分とし、該デマンド時限TD の残り時間の大きさ
によって3つの領域に分類した場合を示している。そし
て、はデマンド時限の残り時間が「多い」というラベ
ルに対応するメンバシップ関数を、は残り時間が「中
くらい」というラベルに対応するメンバシップ関数を、
は残り時間が「少ない」というラベルに対応するメン
バシップ関数を示している。
FIG. 1 is a diagram showing a membership function used in an embodiment of the present invention. Here, the demand time period is T D , and the demand time period T D is classified into three regions according to the size of the remaining time. The case is shown. Then, is the membership function corresponding to the label "remaining" in the demand time period, and is the membership function corresponding to the label "remaining medium",
Indicates a membership function corresponding to the label “remaining time is small”.

【0015】ここで、上記の様なメンバシップ関数に対
して、例えば次のような制御規則が考えられる。
Here, for the membership function as described above, for example, the following control rules can be considered.

【0016】(1)もし、残り時間が多ければ、Raを
予測値とする。………制御規則1サンプリング時間をΔ
t(例えば1分)、サンプリング時間における電力変化
量をΔp、nをサンプリング回数、Rxを下記の式によ
り表される電力値とする。
(1) If the remaining time is large, Ra is used as the predicted value. ……… Control rule 1 Sampling time Δ
At t (for example, 1 minute), the amount of change in power during the sampling time is Δp, n is the number of times of sampling, and Rx is the power value represented by the following formula.

【0017】Rx=Δp×(TD /Δt) この時、予測値Ra(平均値)は次式に示される。 Rx = Δp × (T D / Δt) At this time, the predicted value Ra (average value) is shown by the following equation.

【0018】(2)もし、残り時間が中くらいであれ
ば、Rbを予測値とする。…制御規則2デマンド時限開
始時から現在時までの使用電力をP、デマンド時限開始
時から現在時までの経過時間をt、Ryは下記の式によ
り表される電力値とする。
(2) If the remaining time is medium, Rb is used as the predicted value. Control Rule 2 The power used from the start of the demand time period to the current time is P, the elapsed time from the start of the demand time period to the current time is t, and Ry is the power value represented by the following formula.

【0019】Ry=P+(Δp/Δt)×(TD −t) この時、Rbは次式に示される。 [0019] Ry = P + (Δp / Δt ) × (T D -t) at this time, Rb is shown in the following equation.

【0020】(3)もし、残り時間が少なければ、Rc
を予測値とする。……制御規則3Ryを前記「制御規則
2」における定義とすると、予測値Rcは次式に示され
る。
(3) If the remaining time is short, Rc
Is the predicted value. ... If the control rule 3Ry is defined in the above-mentioned "control rule 2", the predicted value Rc is shown by the following equation.

【0021】Rc=Ry 図2は本発明の一実施例を示すデマンドコントロ−ル装
置の構成を示すブロック図である。
Rc = Ry FIG. 2 is a block diagram showing the configuration of a demand control device showing an embodiment of the present invention.

【0022】図2において、不図示の負荷の使用電力を
計測し、計量値に比例したパルスを発信する発信器付電
力量計4よりのパルス(電力パルス)は伝送手段5によ
ってデマンドコントロ−ル装置のパルス入力端6に受信
される。
In FIG. 2, a pulse (power pulse) from a watt hour meter 4 with a transmitter for measuring the power consumption of a load (not shown) and transmitting a pulse proportional to the measured value is demand-controlled by the transmission means 5. It is received at the pulse input 6 of the device.

【0023】パルス入力端6にて受信されたパルスは該
装置に配置される3つの使用電力予測器7a,7b,7
cより成る使用電力予測器群7に同時に入力される。各
予測器7a〜7cは同時並列的、且つ独立に前述したよ
うな予測演算を行い、すなわち予測器7aは前述の「制
御規則1」にしたがって予測演算し、予測器7bは前述
の「制御規則2」にしたがって予測演算し、又、予測器
7cは前述の「制御規則3」にしたがって予測演算し、
この各予測値を一時的に保存する仮予測値メモリ8に書
き込む。
The pulse received at the pulse input terminal 6 is used by the three power predictors 7a, 7b, 7 arranged in the apparatus.
It is simultaneously input to the power usage predictor group 7 composed of c. Each of the predictors 7a to 7c simultaneously and independently performs the above-described prediction calculation, that is, the predictor 7a performs the prediction calculation according to the above-mentioned "control rule 1", and the predictor 7b performs the above-mentioned "control rule". 2 ", and the predictor 7c performs the predictive calculation according to the above-mentioned" control rule 3 ".
The predicted values are written in the temporary predicted value memory 8 which is temporarily stored.

【0024】一方、残り時間の、各分類ラベルに対応す
るメンバシップ関数に対する所属度を演算する時刻所属
度演算部9は、デマンド時刻を計数するデマンド時刻計
数器10からデマンド時限の現在時についての残り時間
を指示され、該残り時間を基に残り時間の分類に対応す
るメンバシップ関数を残り時間ラベルメンバシップ関数
部11より参照し(図3参照)、残り時間ラベル(残り
時間が多い、中くらい、少ないを表す)についての所属
度を得、この各所属度を仮予測メモリ8に対応する仮予
測値重み付けメモリ12にそれぞれ書き込む。
On the other hand, the time affiliation calculating unit 9 for calculating the affiliation of the remaining time with respect to the membership function corresponding to each classification label is calculated from the demand time counter 10 for counting the demand time to determine the present time of the demand time limit. The remaining time is instructed, the membership function corresponding to the classification of the remaining time is referenced from the remaining time label membership function unit 11 based on the remaining time (see FIG. 3), and the remaining time label (remaining time is large, medium is The degree of affiliation with respect to the temporary prediction value weighting memory 12 corresponding to the temporary prediction memory 8 is written.

【0025】例えば、メンバシップ関数について現在
の残り時間の所属度raが「0.2 」で、メンバシップ関
数についての所属度rbが「0.8 」で、メンバシップ
関数についての所属度rcが「0.0 」である、等であ
る。
For example, the membership degree ra of the current remaining time of the membership function is "0.2", the membership degree rb of the membership function is "0.8", and the membership degree rc of the membership function is "0.0". Yes, and so on.

【0026】重心演算器13は、仮予測値メモリ8に書
き込まれた各仮予測値Ra,Rb,Rcと仮予測値重み
付けメモリ12に書き込まれた対応する仮予測値重みr
a〜rcを積和し、それを仮予測値重みra〜rcの和
で割ることにより、単一の需要電力予測値Rz を算出す
る。つまり Rz =(Ra・ra+Rb・rb+Rc・rc)/(ra+rb+rc) なる演算を行う。
The center-of-gravity calculator 13 is provided for each temporary predicted value Ra, Rb, Rc written in the temporary predicted value memory 8 and the corresponding temporary predicted value weight r written in the temporary predicted value weighting memory 12.
A single demand power predicted value R z is calculated by multiplying and adding a to rc and dividing it by the sum of the temporary predicted value weights ra to rc. That is, the calculation of R z = (Ra · ra + Rb · rb + Rc · rc) / (ra + rb + rc) is performed.

【0027】図4は、上記の実施例により実際に実験し
たファジィ演算による予測結果と従来の(1)の予測演
算式により予測した結果とを比較した例を示す図であ
り、実線が従来の予測を、点線が本実施例におけるファ
ジィ演算による予測結果を、それぞれ示している。
FIG. 4 is a diagram showing an example in which the prediction result by the fuzzy calculation actually conducted by the above-mentioned embodiment is compared with the result predicted by the conventional prediction calculation formula (1), and the solid line indicates the conventional one. Regarding the prediction, the dotted line shows the prediction result by the fuzzy calculation in this embodiment.

【0028】この図から明らかなように、従来の予測演
算式(1)においては短時間の負荷変動によって予測値
のゆらぎが生じ易く、適切なデマンド制御のタイミング
を失する恐れがあったが、本実施例による予測演算方式
を用いることにより、予測値のゆらぎが抑制できる。
As is clear from this figure, in the conventional predictive calculation formula (1), fluctuations in the predicted value are likely to occur due to short-term load fluctuations, and there is a risk that appropriate demand control timing may be lost. By using the prediction calculation method according to the present embodiment, fluctuation of the prediction value can be suppressed.

【0029】なお、本実施例においては、デマンド時限
の残り時間が少ない場合には、重負荷の立ち上がり等に
ついて予測値の応答性を良くするために、図4より読み
取れる様に、従来の予測演算式(1)と同様の予測演算
式により使用電力の予測を行っている。
In the present embodiment, when the remaining time of the demand period is short, in order to improve the responsiveness of the predicted value with respect to rising of a heavy load and the like, as shown in FIG. The power consumption is predicted by the same prediction calculation formula as the formula (1).

【0030】本実施例によれば、デマンド時限の残り時
間をファジィ変数化し、それぞれのファジィ変数と異な
る予測演算式(制御規則1〜3)にて得られる予測値と
を用いてファジィ推論を行い、使用電力を予測するよう
にしているため、一時的な負荷変動による影響を抑制す
ることができる。つまり、使用電力の予測値の安定度を
向上させることができ、より適切なデマンド制御を行う
ことが可能となる。
According to the present embodiment, the remaining time of the demand time period is made into a fuzzy variable, and fuzzy inference is performed using each fuzzy variable and the prediction value obtained by different prediction calculation formulas (control rules 1 to 3). Since the power consumption is predicted, it is possible to suppress the influence of temporary load fluctuation. That is, the stability of the predicted value of the power consumption can be improved, and more appropriate demand control can be performed.

【0031】(変形例)本実施例では、残り時間ラベル
メンバシップ関数部11に保持されるメンバシップ関数
を各予測器7a〜7cにおいて共用するようにしている
が、これに限定されるものではなく、各予測器7a〜7
cそれそれの仮予測値に重み付けをなすべく異なるメン
バシップ関数を任意の数だけ保持した構成であってもよ
い。また、メンバシップ関数として、例えば1日のうち
の時間帯毎に異なるものを保持しておき、必要に応じて
用いることも可能である。
(Modification) In the present embodiment, the membership function held in the remaining time label membership function unit 11 is shared by the predictors 7a to 7c, but the present invention is not limited to this. None, each predictor 7a-7
c A configuration may be adopted in which an arbitrary number of different membership functions are held in order to weight the respective temporary predicted values. Further, as a membership function, for example, a different one may be held for each time zone of the day and used as needed.

【0032】また、デマンド時限の残り時間、発信器付
電力量計からのパルス数より得られる、サンプリング時
間における使用電力であるサンプリング値及びデマンド
時限内において該デマンド時限開始時から現在時までの
使用電力の現在値などから、デマンド時限終了時点にお
ける使用電力を仮予測する様にしているが、これに限定
されるものではなく、例えば冷凍庫が負荷であった場
合、冷凍すべく温度と内部に入れられる容量によっても
仮予測することができる。また、使用電力の現在値は、
デマンド時限開始時から現在時までの値であるとしてい
るが、デマンド時限内において停電したような場合に
は、必要に応じて前回のデマンド時限において使用され
た電力値を適宜用いるようにしても良い。
Further, the remaining time of the demand time period, the sampling value which is the electric power used at the sampling time obtained from the number of pulses from the watt hour meter with the oscillator, and the use from the start time of the demand time period to the present time within the demand time period. The power used at the end of the demand time period is tentatively predicted from the current value of power, but the present invention is not limited to this.For example, when the freezer is a load, the temperature and internal temperature are set to freeze. It can be tentatively predicted depending on the capacity to be used. The current value of power consumption is
It is assumed that it is the value from the start time of the demand time period to the present time, but in the case of a power failure within the demand time period, the power value used in the previous demand time period may be appropriately used if necessary. .

【0033】[0033]

【発明の効果】以上説明したように、本発明によれば、
残時間計数手段より指示されるデマンド時限の残り時間
がどの分類に属するかを判別し、この分類に対応する、
記憶手段に記憶されたメンバシップ関数を参照し、該メ
ンバシップ関数に基づいて複数の仮予測演算手段にて得
られる複数の予測値に個別に重み付けをなし、該複数の
重み付き予測値から単一の予測値を算出するようにして
いる。
As described above, according to the present invention,
It is determined to which category the remaining time of the demand time period instructed by the remaining time counting means belongs, and corresponding to this category,
Referring to the membership function stored in the storage means, the plurality of prediction values obtained by the plurality of temporary prediction calculation means are individually weighted based on the membership function, and the weighted prediction values are simply weighted. One predicted value is calculated.

【0034】よって、一時的な負荷変動による影響を抑
制し、使用電力予測値の安定度を向上させて効果的なデ
マンド制御を行うことが可能となる。
Therefore, it is possible to suppress the influence of temporary load fluctuation, improve the stability of the predicted value of power consumption, and perform effective demand control.

【図面の簡単な説明】[Brief description of drawings]

【図1】本発明の一実施例に係るメンバシップ関数を示
す図である。
FIG. 1 is a diagram showing a membership function according to an embodiment of the present invention.

【図2】本発明の一実施例におけるデマンドコントロ−
ル装置の構成を示すブロック図である。
FIG. 2 is a demand control according to an embodiment of the present invention.
3 is a block diagram showing the configuration of a mobile device.

【図3】図2の残り時間ラベルメンバシップ関数部の詳
細を示す図である。
FIG. 3 is a diagram showing details of a remaining time label membership function part of FIG. 2;

【図4】本実施例によるファジィ予測と従来の予測との
比較結果を示す図である。
FIG. 4 is a diagram showing a result of comparison between fuzzy prediction according to the present embodiment and conventional prediction.

【図5】従来の使用電力予測方式について説明するため
の図である。
FIG. 5 is a diagram for explaining a conventional power consumption prediction method.

【符号の説明】[Explanation of symbols]

7a,7b,7c 予測器 8 仮予測値メモリ 9 時刻所属度演算部 10 デマンド時刻計数器 11 残り時間ラベルメンバシップ関数
部 12 仮予測値重み付けメモリ 13 重心演算器
7a, 7b, 7c Predictor 8 Temporary predicted value memory 9 Time belonging degree calculation unit 10 Demand time counter 11 Remaining time label membership function unit 12 Temporary predicted value weighting memory 13 Centroid calculator

Claims (2)

【特許請求の範囲】[Claims] 【請求項1】 デマンド時限の残り時間を指示する残時
間計数手段と、デマンド時限終了時点での使用電力であ
る仮予測値の算出をそれぞれ異なる演算形式により個々
に行う複数の仮予測演算手段と、デマンド時限を残り時
間の大きさによって複数の領域に分類すると共に、各分
類毎に、前記複数の仮予測演算手段により得られる仮予
測値それぞれに重み付けをなすべく少なくとも一つのメ
ンバシップ関数を記憶した記憶手段と、前記残時間計数
手段より指示されるデマンド時限の残り時間がどの分類
に属するかを判別し、この分類に対応する、前記記憶手
段に記憶されたメンバシップ関数を参照し、該メンバシ
ップ関数に基づいて前記複数の仮予測演算手段にて得ら
れる複数の仮予測値に個別に重み付けをなし、該複数の
重み付き仮予測値から単一の予測値を算出するファジィ
演算手段とを備えたデマンドコントロ−ル装置。
1. A remaining time counting means for instructing a remaining time of a demand time limit, and a plurality of temporary prediction calculation means for individually calculating a temporary prediction value which is power consumption at the end of the demand time limit by different calculation formats. , The demand time period is classified into a plurality of regions according to the size of the remaining time, and at least one membership function is stored for each classification so as to weight each of the temporary prediction values obtained by the plurality of temporary prediction calculation means. Which storage means and the remaining time of the demand time period designated by the remaining time counting means belong to which classification, and the membership function stored in the storage means corresponding to this classification is referred to, Based on the membership function, a plurality of temporary prediction values obtained by the plurality of temporary prediction calculation means are individually weighted, and the plurality of temporary prediction values are weighted. And a fuzzy calculation means for calculating a single predicted value from the demand control device.
【請求項2】 複数の仮予測演算手段は、予め設定され
たデマンド時限、サンプリング時間、サンプリング回
数、残時間計数手段より指示されるデマンド時限の残り
時間、発信器付電力量計の発信パルス数より得られるサ
ンプリング時間における使用電力であるサンプリング
値、デマンド時限内において該デマンド時限開始から現
在時までの使用電力である現在値のうちの所定の組み合
わせから、デマンド時限終了時点での使用電力である仮
予測値の算出を個々に行う手段であることを特徴とする
請求項1記載のデマンドコントロ−ル装置。
2. The plurality of provisional predictive calculation means are preset demand time periods, sampling times, sampling times, remaining time of the demand time periods instructed by the remaining time counting means, and the number of transmission pulses of the watt hour meter with an oscillator. The power consumption at the end of the demand time period from the predetermined combination of the sampling value that is the power consumption at the sampling time obtained and the current value that is the power consumption from the start of the demand time period to the current time within the demand time period The demand control device according to claim 1, wherein the demand control device is means for individually calculating the temporary predicted value.
JP4102437A 1992-03-30 1992-03-30 Demand control apparatus Pending JPH06205534A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP4102437A JPH06205534A (en) 1992-03-30 1992-03-30 Demand control apparatus

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP4102437A JPH06205534A (en) 1992-03-30 1992-03-30 Demand control apparatus

Publications (1)

Publication Number Publication Date
JPH06205534A true JPH06205534A (en) 1994-07-22

Family

ID=14327446

Family Applications (1)

Application Number Title Priority Date Filing Date
JP4102437A Pending JPH06205534A (en) 1992-03-30 1992-03-30 Demand control apparatus

Country Status (1)

Country Link
JP (1) JPH06205534A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2011061991A (en) * 2009-09-10 2011-03-24 Toshiba Corp Device and method for monitoring power demand
WO2015050182A1 (en) * 2013-10-03 2015-04-09 三菱電機株式会社 Demand forecast device and demand forecast method

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS51121746A (en) * 1975-04-18 1976-10-25 Toshiba Corp Demand power quantity preditable method

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS51121746A (en) * 1975-04-18 1976-10-25 Toshiba Corp Demand power quantity preditable method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2011061991A (en) * 2009-09-10 2011-03-24 Toshiba Corp Device and method for monitoring power demand
WO2015050182A1 (en) * 2013-10-03 2015-04-09 三菱電機株式会社 Demand forecast device and demand forecast method

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