Modern Power System

Load Compensation in Power System

Load Compensation in Power System: Load compensation is the management of reactive power to improve power quality i.e. V profile and pf. Here the reactive power flow is controlled by installing shunt compensating devices (capacitors/reactors) at the load end bringing about proper balance between generated and consumed reactive power. This is most effective in improving […]

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Limitations for Loading Capability of Transmission System

Limitations for Loading Capability of Transmission System: There are three kinds of limitations for loading capability of transmission system: Thermal Dielectric Stability Thermal capability of an overhead line is a function of the ambient temperature, wind conditions, conditions of the conductor, and ground clearance. There is a possibility of converting a single-circuit to a double-circuit

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What is Compensation in Power System

What is Compensation in Power System: Introduction to Compensation in Power System – For reduction of cost and improved reliability, most of the world’s electric power systems continue to be interconnected. Interconnections take advantage of diversity of loads, availability of sources and fuel price for supplying power to loads at minimum cost and pollution with

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Application of State Estimation in Power System

Application of State Estimation in Power System

Application of State Estimation in Power System: Application of State Estimation in Power System – In real-time environment the state estimator consists of different modules such as network topology processor, observability analysis, state estimation and bad data processing. The network topology processor is required for all power system analysis. A conventional network topology program uses

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Least Square Estimation Method

Least Square Estimation Method: As we are going to seen that, the problem of power system state estimation is a special case of the more general problem of estimation of a random vector x from the numerical values of another related random vector y with relatively little statistical information being available for both x and

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