## Operation and Control in Power Systems

S. R. Murty Book

**Preference :**

Power system engineering is a branch where practically all the results of modern control

theory can be applied. Such an application will result in economy, better quality of service and

the least inconvenience under abnormal situations, both anticipated and unforeseen.

Control system design, in general, for its analytical treatment, requires the determination

of a mathematical model from which the control strategy can be derived. While much of the

control theory postulates that a model of the system is available. It is also necessary to have a

suitable technique to determine the models for the process to be controlled. Thus, it is

required to model and identify power system components using both physical relationships

and experimental or normal operating data. The objective of system identification is the

determination of a mathematical model characterizing the operation of a system in some form.

The available information is either system outputs or some functions of outputs which may

contain measurement noise. The inputs may be known functions applied for the purpose of

identification, or unknown functions which it may be possible to monitor somehow, or a

combination of both.

The identified model may be in the form of differential equations, difference equations,

transfer functions, etc.

Even though all systems are nonlinear to some extent, the assumption of a linear model

leads to simpler models which can yield meaningful results with fairly good accuracy. A

system may be classified as stationary or non stationary. During the period of operation, when controls are implemented, the system is normally assumed to be stationary. The system equations

may be formulated either in the continuous mode or in the discrete mode. While measurements

and predicted values are available at discrete intervals, continuous representation is the most

familiar mode. Transformation from continuous to discrete formulation is a straight forward

process.

theory can be applied. Such an application will result in economy, better quality of service and

the least inconvenience under abnormal situations, both anticipated and unforeseen.

Control system design, in general, for its analytical treatment, requires the determination

of a mathematical model from which the control strategy can be derived. While much of the

control theory postulates that a model of the system is available. It is also necessary to have a

suitable technique to determine the models for the process to be controlled. Thus, it is

required to model and identify power system components using both physical relationships

and experimental or normal operating data. The objective of system identification is the

determination of a mathematical model characterizing the operation of a system in some form.

The available information is either system outputs or some functions of outputs which may

contain measurement noise. The inputs may be known functions applied for the purpose of

identification, or unknown functions which it may be possible to monitor somehow, or a

combination of both.

The identified model may be in the form of differential equations, difference equations,

transfer functions, etc.

Even though all systems are nonlinear to some extent, the assumption of a linear model

leads to simpler models which can yield meaningful results with fairly good accuracy. A

system may be classified as stationary or non stationary. During the period of operation, when controls are implemented, the system is normally assumed to be stationary. The system equations

may be formulated either in the continuous mode or in the discrete mode. While measurements

and predicted values are available at discrete intervals, continuous representation is the most

familiar mode. Transformation from continuous to discrete formulation is a straight forward

process.

Content :

- Load Flow Analysis
- Economic Operation of Power Systems
- Optimal Load Flow
- Unit Commitment
- Load Frequency Control
- Control of Interconnected Systems
- Voltage and Reactive Power Control
- Introduction to Advanced Topics

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