JPS6260432A - Simulating method for power system - Google Patents
Simulating method for power systemInfo
- Publication number
- JPS6260432A JPS6260432A JP60195916A JP19591685A JPS6260432A JP S6260432 A JPS6260432 A JP S6260432A JP 60195916 A JP60195916 A JP 60195916A JP 19591685 A JP19591685 A JP 19591685A JP S6260432 A JPS6260432 A JP S6260432A
- Authority
- JP
- Japan
- Prior art keywords
- load
- power system
- data
- demand
- pattern
- 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.)
- Granted
Links
Landscapes
- Supply And Distribution Of Alternating Current (AREA)
Abstract
(57)【要約】本公報は電子出願前の出願データであるた
め要約のデータは記録されません。(57) [Summary] This bulletin contains application data before electronic filing, so abstract data is not recorded.
Description
【発明の詳細な説明】
〔発明の利用分野〕
本発明は、シカ系統を模擬する装置に係り、特に系統動
揺の表現に不可欠な負荷変動模擬に好適な系統模擬方法
に関する。DETAILED DESCRIPTION OF THE INVENTION [Field of Application of the Invention] The present invention relates to an apparatus for simulating a deer system, and particularly to a system simulating method suitable for simulating load fluctuations essential for expressing system fluctuations.
従来の装置は、特開昭５７−９１６３３号に記載のよう
に予め訓練期間中の心力系統の総需要パターンを４２図
に示す様な形で設定し、模擬中は、この設定間隔１１の
総需要パターンを第３図に示す各負荷点Ｌ ｌ−Ｌ−の
配分比率で配分計算して、第４図に示す各負荷点の変動
データを作成し、それをもとに１力系統の模擬を行うよ
うになっていた。しかし、負荷変動を表現するに当って
最も重要なポイントは、できるかぎシ負荷点の社会的特
性を考慮したものであることが望まれるが、総需要を配
分比率で分けた場合は、負荷変動パターンは、全負荷点
同一パターンとなり各負荷点の社会的特性については、
−切配慮されていなかった。In the conventional device, as described in JP-A No. 57-91633, the total demand pattern of the mental power system during the training period is set in advance in the form shown in Figure 42, and during the simulation, the total demand pattern of the set interval 11 is set in advance. The demand pattern is calculated using the distribution ratio of each load point Ll-L- shown in Fig. 3, and fluctuation data of each load point shown in Fig. 4 is created, and based on this, a simulation of a single-power system is performed. It was supposed to be done. However, the most important point when expressing load fluctuations is that it is desirable to consider the social characteristics of the load points, but if the total demand is divided by distribution ratio, load fluctuations The pattern is the same for all load points, and the social characteristics of each load point are as follows:
- It was not given due consideration.
本発明の目的は、電力系統の負荷変動を実系統に近い形
で把掘することにより、実運用に合った需給調整訓練に
適した電力系統模擬方法を提供することにある。An object of the present invention is to provide an electric power system simulation method suitable for supply and demand adjustment training suitable for actual operation by understanding load fluctuations in the electric power system in a form similar to the actual system.
本発明は電力系統の模擬において、負荷モデルの入力情
報である需要データをあらかじめ取シ込んでおいたオン
ラインデータを基づいて負荷急変箇所ｔ′Ｒ動率より抽
出し、該急変箇所の計算周期を他の箇所に比べて短くし
、各負荷点の変動を忠実に８現する負荷モデルを設けた
ことに特徴がある。In simulating a power system, the present invention extracts demand data, which is the input information of a load model, from the t'R operating rate of a sudden load change point based on online data that has been imported in advance, and calculates the calculation cycle of the sudden load change point. It is characterized by being shorter than other locations and by providing a load model that faithfully represents the fluctuations at each load point.
本発明の全体構成図を第５図に示す。FIG. 5 shows an overall configuration diagram of the present invention.
第５図において、ａは系軌侯擬計算する計算機で、ｂは
各負荷点のオンラインデータを取シ込む入力装置である
。取り込んだオンラインデータは、Ｃに記憶される。記
憶された負荷パターンデータは、各負荷点Ｌ１〜Ｌ、に
対応して第６図に示すようなパターンＰＩ−Ｐ、で記憶
される。この計算機が取シ込んだパターン！ｒｉ、ｔ２
周期間隔であるが、このデータをもとに潮流計算するの
にかかる処理時間ｔ３ との関係は、通常ｔ２（ｔ３で
あるため、ｔ２間隔の入力データをそのまま計算式入力
として使用することはできない。その為、本計算機の処
理能力を考えると第７図に示すように潮流計算処理時間
ｔ３のデータを入力値として計算するのが精一杯である
。しかし、表示処理、入力処理等の他処理を含めた計算
機の負荷率を考えるとより刻み巾の大きいｔ４の計算周
期となってしまう。この場合、第７図に示す朝の立上シ
、昼の立上シ期間Ｔ２１−Ｔ２４１Ｔ３３〜Ｔ３ｇが第
８図に示すようにｔ７〜ｔ８．’１’目〜Ｔｌ ２
として平均化されて表現されてしまう為、最も負荷の急
変するこの期間の需給調型が実運用とは、かけ離れたも
のとなり、それによって引き起こされる系統動揺も実際
とは、相当違って来る為、動作すべき几Ｙ（すＬ／−）
動作が第７図のＴ２３ ＊ Ｔｓ ４のデータを使用し
て計算したときは模擬できたが第８図のＴｙ、Ｔｓのデ
ータでは、模擬できない場合がでてくるこ七になりシミ
ュレータとしては、意味をなさないものとなってしまう
。そこで急変時間帯を忠実に表現するために、第７図に
示す需要バムーンをｔ３間隔で負荷変動率αを式（１）
Ｋより計算し、その値が平常時の変動率α１を越える急
変する時
（ｎ＝４．５．６・・・）
間借を注出しその期間については＋ １．の計算周期
で計算を行う。これらを考慮して作成した各負荷パター
ンデータを第９図に示す。本発明はこの負荷パターンデ
ータを使用して系統の動揺を実系統に近い形で模擬演算
把握する方式に特徴がある。In FIG. 5, a is a computer for pseudo-calculating the system trajectory, and b is an input device for inputting online data of each load point. The imported online data is stored in C. The stored load pattern data is stored as a pattern PI-P as shown in FIG. 6 corresponding to each load point L1 to L. Patterns captured by this calculator! ri, t2
Although it is a cycle interval, the relationship with the processing time t3 required to calculate the power flow based on this data is usually t2 (t3, so input data at the t2 interval cannot be used as is as input to the calculation formula. Therefore, considering the processing capacity of this computer, it is best to calculate using the data of the power flow calculation processing time t3 as an input value, as shown in Fig. 7.However, other processing such as display processing, input processing, etc. Considering the computer load factor including As shown in FIG. 8, t7~t8.'1'th~Tl 2
Because it is expressed as an average, the supply and demand adjustment pattern during this period when the load changes most rapidly will be far from the actual operation, and the grid fluctuations caused by this will also be quite different from the actual situation.几Y (suL/-) that should work
When the operation was calculated using the data of T23 * Ts 4 in Figure 7, it could be simulated, but with the data of Ty and Ts in Figure 8, there were cases where it could not be simulated.As a simulator, It becomes meaningless. Therefore, in order to faithfully represent the period of sudden change, the load fluctuation rate α is calculated using equation (1) at intervals of t3 for the demand load shown in Figure 7.
Calculated from K, when the value changes suddenly exceeding the normal fluctuation rate α1 (n = 4.5.6...), the rent is poured out and for that period + 1. Calculations are performed at a calculation cycle of Figure 9 shows each load pattern data created with these considerations in mind. The present invention is characterized by a method of using this load pattern data to grasp system fluctuations through simulation calculations in a form close to the actual system.
以下、本発明の具体的実施例を第１図によプ説明する。 Hereinafter, a specific embodiment of the present invention will be explained with reference to FIG.
第１図において、電力系統模擬装置は、模擬を開始する
事前準備として第７図に示す各負荷点のオンラインデー
タを０部の入力データ取り込み処理で人力し、ｆ部では
、第９図に示す系統模擬計算入力データを作成する。ｇ
部では、作成された計算周期並びに各負荷点のｄ要パタ
ーンと系統を第１０図に示すようなノード・ブランチと
いう関係で示し、各ブランチ状態を第１１図（Ａ）に示
すブランチ定義から第１１図（Ｂ）に示すブランチ状態
テーブルに作成する。たとえば、ブランチ九へは、開閉
器ｄ２とｄ３の状態が共にＯＮであれば接続されている
として１はセット又はｄ鵞＊ ｄ３いずれか一方がＯ
ＦＦ’であれば接続されていないとして０をセットする
。このテーブルの接続中のブランチについてのみ、アド
ミタンスＭＹ目〜Ｙ、、を第１１図（Ａ）のブランチ定
義より同図（Ｈ）の該当−ブランチのテーブルに設定ス
る。また第１１図（Ｃ）に示すノード定義には、どのノ
ードに発４機及び負荷が接続されるかを示し、発電機の
内部電圧値ＩＥ ’ｌ−Ｅ ｒｍ’と過度アドミッタン
スＸＩ’〜Ｘａ’等の発′ｗＬ機表現データを持ち、負
荷については、ｆ部で計算された計算周期と負荷点総需
要パターンデータを参照できるインデックスＡＰ １〜
Ｐ、及び初期電圧Ｅｔ’をもつ。以上のデータをもとに
（２）式に示す系統計算式を解くことにより各ノードの
電圧Ｅ１〜Ｅ、を求めることができる。負荷変動分ΔＩ
ｔ、は、（式３）によジ模擬開始時のアドミッタンスＹ
ｔｔｋ求め、それ以後の負荷変動分ΔＩＬを、（式４）
により求め（式２）に代入してやる。In Fig. 1, the power system simulator manually inputs online data of each load point shown in Fig. 7 as a preliminary preparation for starting the simulation by input data import processing in part 0, and in part f, as shown in Fig. 9. Create system simulation calculation input data. g
In this section, the created calculation cycle, the required pattern of each load point, and the system are shown in the relationship of nodes and branches as shown in Fig. 10, and the state of each branch is calculated from the branch definition shown in Fig. 11 (A). 11 Create the branch status table shown in FIG. 11(B). For example, branch 9 is connected if both switches d2 and d3 are ON, and 1 is set or d3 is set or d3 is OFF.
If it is FF', it is assumed that it is not connected and 0 is set. Only for the connected branches of this table, the admittances MY-th to Y are set in the table of the corresponding -branch in FIG. 11(H) from the branch definition in FIG. 11(A). In addition, the node definition shown in FIG. 11(C) indicates to which node the generator and the load are connected, and the internal voltage value IE 'l-E rm' of the generator and the transient admittance XI'~Xa 'wL machine expression data such as ', and for load, index AP 1 to which can refer to the calculation cycle calculated in part f and the load point total demand pattern data.
P, and an initial voltage Et'. The voltages E1 to E at each node can be determined by solving the system calculation formula shown in equation (2) based on the above data. Load fluctuation ΔI
t is the admittance Y at the start of the yaw motion simulation (Equation 3)
ttk is calculated, and the subsequent load fluctuation ΔIL is calculated using (Formula 4)
Calculate it by substituting it into (Equation 2).
ＰｚｌｌＱｔｌ・・・模擬開始時の負荷点需要データΔ
Ｐ ｔａ ｅΔＱｔｍ・・・Ｐｔ１ｖＱｔｘとそれ以後
の需要データＰ’ ｓｒ Ｑ’ｍ （” ＝１・・・ｎ
）との偏差
又、（式２）のアドミッタンス行列は、系統の接続に変
更がなければ、計算する必要がない為、ΔＩ！のみを計
算しく式２）を解くことによ勺計算時間を縮めることが
でき計算周期を従来の手法に比べ１０チ〜２０チの処理
時間の短縮を図った。以上の処理により求め今した各ノ
ードの電圧値からＳブランチの有効潮流、無効潮流値Ｐ
Ｉ１．．Ｑｈを（５）式により求めｈ部でそれらを表示
装置に出力する。このｇ、ｈ部は、訓練期間中、計算周
期で繰シ返し行われる。PzllQtl...Load point demand data Δ at the start of simulation
P ta eΔQtm...Pt1vQtx and subsequent demand data P' sr Q'm (" = 1... n
) Also, the admittance matrix in (Equation 2) does not need to be calculated unless there is a change in the system connection, so ΔI! By solving Equation 2) by calculating only the calculation time, the calculation time can be shortened, and the processing time has been reduced by 10 to 20 times compared to the conventional method. The effective power flow and invalid power flow values P of the S branch are calculated from the voltage value of each node obtained through the above process.
I1. ．． Qh is determined by equation (5) and is outputted to the display device in the h section. The g and h parts are repeated at the calculation cycle during the training period.
Ｐ８ａ＋」Ｑｌｌ、＝（Ｅ、−Ｅ」）２Ｙ、ｊ・・・・
・・・・・（５）（ｎ＝１７ｊ ｎ、 ｊはノード
Ａ）従来手法で上記と同様な系統を模擬した場合と比べ
ると負荷点の需要データの設定に関しては、本手法は、
オンラインデータから自動作成する為、設定する必要は
、全く無い。P8a+"Qll, = (E, -E")2Y,j...
...(5) (n = 17j n, j is node A) Compared to the case where a system similar to the above is simulated using the conventional method, this method has
Since it is automatically created from online data, there is no need to configure it at all.
系統動揺の表現に関しては、オンラインデータをもとに
している為、各負荷点のもつ特性を実系統に近い形で表
現していると言える。又、負荷の急変する時間帯は、計
算周期刻みを細かくすることによプ事故復旧シミュレー
ションにおける供給支障電力の微少変化に対応する訓練
ができ、且つ系統保護装置の動作も系統動揺を細く表現
できる為、より実系統の動作に合ったものを模擬できた
。Regarding the expression of system fluctuations, since it is based on online data, it can be said that the characteristics of each load point are expressed in a form close to the actual system. In addition, during times when the load changes suddenly, by making the calculation cycle increments finer, it is possible to train to respond to minute changes in the power supply disturbance in the disaster recovery simulation, and the operation of the system protection device can also express system fluctuations in a fine manner. Therefore, we were able to simulate something that more closely matched the behavior of the actual system.
以上述べたように、本発明によれば電力系統模擬期間中
の系統動揺を実系統に近い形で需給調整訓練が可能にな
った。As described above, according to the present invention, it has become possible to perform supply and demand adjustment training during the power system simulation period in a manner similar to the actual power system.
第２図は、総需要パターンデータ、第４図は、各負荷点
の需要パターン、第５図は、本発明の一実施例の系統模
擬装置、第６図は、各負荷点のオンライン？ＷＩ要パタ
ーン、第７図は、計算可能な最小刻み巾の需要パターン
、第８図は、計算機の他の処理乞考慮した刻み巾の需要
パターン、第９図は、本発明に使用した刻み巾の需要パ
ターン、第１図は、本発明の系統模擬装置の処理構成図
、第１０図は、ノード・ブランチで表現した系統、第３
図は、各負荷需要データを作成するに必要な、配分比率
、第１１図（Ａ）は、ブランチ定義、第１１図（Ｂ）は
、ブランチ状態テーブル、第１１図（Ｃ）は、ノード定
義を示す。
Ｌ！〜Ｌ、・・・負荷点、ａ・・・計算機、ｂ・・・オ
ンライン入力装置、Ｃ・・・メモ’Ｊ、Ｐｔ〜Ｐ１・・
・各負荷点の需要パターン屋、Ｇ １−０２・・・発電
機、ｄｌ〜ｄ２□・・・開閉器、■〜■ ・・・ノード
屋、ム〜ム・・・プラ／チ扁、ｅ・・・オンラインデー
タ入力処理部、ｆ・・・計算使用需−要パターン作成部
、ｇ・・・系統模擬計百年図
τ
′４５図
￥らり
ζｔよ周期）
℃
（ｔ３闇期）
ミ
七
丁？ Ｔ８Ｔｒｒ Ｔ＋２ （ｔ４闇
其耳）￥９図
￥１０図Fig. 2 shows the total demand pattern data, Fig. 4 shows the demand pattern of each load point, Fig. 5 shows the system simulator according to an embodiment of the present invention, and Fig. 6 shows the online data of each load point. WI required pattern, Fig. 7 shows the demand pattern for the minimum increment width that can be calculated, Fig. 8 shows the demand pattern for the increment width considering other processing of the computer, and Fig. 9 shows the demand pattern for the increment width used in the present invention. 1 is a processing block diagram of the system simulator of the present invention, and FIG.
The figure shows the distribution ratio necessary to create each load demand data, Figure 11 (A) shows the branch definition, Figure 11 (B) shows the branch status table, and Figure 11 (C) shows the node definition. shows. L! ~L... Load point, a... Calculator, b... Online input device, C... Memo 'J, Pt~P1...
・Demand pattern shop for each load point, G 1-02... Generator, dl~d2□... Switch, ■~■... Node shop, Mu~mu...Plastic/Chi flat, e ...Online data input processing section, f...Calculation use demand pattern creation section, g...System simulation hundred year diagram τ '45 figure ¥ round ζt period) ℃ (t3 dark period) Mi-7 Ding? T8Trr T+2 (t4 dark ears) ¥9 figure ¥10 figure
Claims (1)
機モデルと定インピーダンス負荷モデルによつて表現し
、電力系統設備に流れる電力潮流などを計算し表示する
電力系統模擬方法において、負荷モデルの入力情報であ
る需要データをあらかじめ取り込んでおいたオンライン
データを基づいて負荷急変箇所を変動率より抽出し、該
急変箇所の計算周期を他の箇所に比べて短くし、各負荷
点の変動を忠実に再現する負荷モデルを設けたことを特
徴とする電力系統模擬方法。1. In the power system simulation method, the load model is used to calculate and display the power flow flowing through the power system equipment by expressing the connection state of the power system switch, a dynamic characteristics generator model, and a constant impedance load model. Based on the online data that has been imported in advance from the demand data that is the input information of the A power system simulation method characterized by providing a load model that is faithfully reproduced.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP60195916A JPH0630546B2 (en) | 1985-09-06 | 1985-09-06 | Power system simulation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP60195916A JPH0630546B2 (en) | 1985-09-06 | 1985-09-06 | Power system simulation method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JPS6260432A true JPS6260432A (en) | 1987-03-17 |
| JPH0630546B2 JPH0630546B2 (en) | 1994-04-20 |
Family
ID=16349116
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP60195916A Expired - Lifetime JPH0630546B2 (en) | 1985-09-06 | 1985-09-06 | Power system simulation method |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPH0630546B2 (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007204260A (en) * | 2006-02-06 | 2007-08-16 | Hitachi Building Systems Co Ltd | Control system for passenger transport facility |
| JP2008220067A (en) * | 2007-03-05 | 2008-09-18 | Tokyo Electric Power Co Inc:The | Power system analysis method |
| JP2012023946A (en) * | 2010-06-15 | 2012-02-02 | Hitachi Ltd | System state arithmetic unit, system control device, system state arithmetic system, distribution system's power flow simulation device, system state arithmetic method, system control method, distribution system's power flow simulation method, and program of the same |
-
1985
- 1985-09-06 JP JP60195916A patent/JPH0630546B2/en not_active Expired - Lifetime
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007204260A (en) * | 2006-02-06 | 2007-08-16 | Hitachi Building Systems Co Ltd | Control system for passenger transport facility |
| JP2008220067A (en) * | 2007-03-05 | 2008-09-18 | Tokyo Electric Power Co Inc:The | Power system analysis method |
| JP2012023946A (en) * | 2010-06-15 | 2012-02-02 | Hitachi Ltd | System state arithmetic unit, system control device, system state arithmetic system, distribution system's power flow simulation device, system state arithmetic method, system control method, distribution system's power flow simulation method, and program of the same |
Also Published As
| Publication number | Publication date |
|---|---|
| JPH0630546B2 (en) | 1994-04-20 |
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