REACTIVE power and voltage control in distribution systemsis typically associated with the optimal hourly adjustment of transformer taps and capacitor banks, so that daily energy losses are minimized, while satisfying operating constraints based on the load forecasted a day ahead. Due to transformer load tap changers (LTCs) and circuit breaker manufacturer restrictions, and to increase their life expectancy, frequent switching operations of LTCs and capacitor banks should be prevented. Thus, optimal reactive power and voltage control in distribution systems requires the solution of an optimization.
Voltage and Reactive Power Control Simulations Using the Neural Networks:
This paper presents a simultaneous formulation for the optimal reactive power control problem using the
Artificial Neural Network (ANN). The objectives are to minimize active power losses and improve the voltage profile of
the given system. The voltage and reactive power controlled by utilization of the power transformers transformation ratio
and the injected reactive power to optimize system performance based on Feed-forward ANN with Back Propagation
training algorithm is used and the training data is obtained by determination optimal transformations ratios and injected
reactive power are performed for different real operating modes of Jordanian Electrical Power System by the ANN and
compared with an other regression model. The active powers losses are expressed in terms of voltage increments by
relating the control variables, i.e., tap positions of transformers and reactive power injections of VAR sources. The back
propagation artificial neural network model has been performed and tested to predict the minimization of the active
power losses and to voltage control.
VOLTAGE REGULATION WITH THE REACTIVE POWER CONTROL OF AN OPTIMIZED 30-BUS POWER SYSTEM:
Throughout the entire world, the electric power industry has undergone a considerable change in the past decade and will continue to do so for the next several decades. In the past the electric power industry has been either a government-controlled or a government-regulated industry which existed as a monopoly in the service region. All the people, businesses, and industries were required to purchase their power from local monopolistic power company. that was not only the legal requirement but the physical engineering requirement as well. It didn’t appear feasible to duplicate the resources required to connect everyone to the power grid.
Earlier, a wide variety of optimization techniques have been applied to solving the OPF problems such as nonlinear programming that is NLP , quadratic programming that is QP , linear programming, Newton-based techniques, and interior point methods.Because of certain drawbacks, like insecure convergence the properties, algorithmic complexity, and convergence the characteristics. This local optimization techniques are not suitable for such a problem. Newton’s method is well-known in the area of power systems.
Q1: What is the aim of VOLTAGE REGULATION WITH THE REACTIVE POWER CONTROL OF AN OPTIMIZED 30-BUS POWER SYSTEM ?
Ans:The aim of the proposed work is to apply evolutionary programming (with Gaussian Method) technique to improve the optimal power flow solution and to increase quality by voltage regulation and reactive power control. Also, series capacitor is being used to improve the power transfer capability of the system with a marginal increase in cost.
Q2: Explain about the poer losses optimization?
POWER LOSSES OPTIMIZATION or (MINIMIZATION)
The power losses in electrical network as well as
real and reactive power flows for all equipment
connecting the buses can be computed by means of load
flow simulation. The quantification and minimization of
losses is important because it will determine the
economic operation of the power system .
If we know how the overall losses occur, we can
take steps to minimize them. Active power losses can be
determined by various methods.
Q3:What is the rating of generator Optimal generation before applying EP?
Ans: 177.6885 MW to 16.9006 MW.
Q4: What is the rating of generator Optimal generation after applying EP ?
Ans: 229.571 MW to 12.00 MW.
Q5: In LUMING’S CONFIGURATION OF CAPACITORS how many capacitors are used in LUMING’S2?
Ans: 4 numbers.