L. Ramesh

Voltage stability analysis and real power loss reduction in distributed distribution system

The development of DGs will bring new changes to traditional power systems. Distributed generation has important consequences for the operation of the distribution networks. Appropriate size and location of distributed generation (DG) play a significant role in minimizing power losses in distribution systems. This paper represents techniques to minimize power losses and improves voltage stability in a distribution feeder by optimizing DG model in terms of size, location and operating point of DG through sensitivity analysis. The methods have been developed with considering load characteristics and representing loads with constant impedance and constant current models, separately. A DG injection into the distribution system improves the voltage profile with minimum loss. The proposed techniques have been tested on IEEE 37 bus distribution system and TNEB 11 KV distribution feeder.

Distributed state estimation technique for active distribution networks

The need for higher frequency in state estimation execution covering larger supervised networks has led to the investigation of faster and numerically more stable state estimation algorithms. However, technical developments in distributed energy management systems based on fast data communication networks open up the possibility of parallel or distributed state estimation implementation. In this paper, this possibility is exploited to derive a solution methodology based on conventional WLS distributed state estimation algorithms and an intelligent ANN technique. Numerical experiments show suitable performance of the proposed method with regard to estimation accuracy, convergence robustness and computational efficiency. The above methods are demonstrated with IEEE 37 bus distributed distribution system with comparison of simulated estimated outputs.

Planning optimal intelligent metering for distribution system monitoring and control

The accuracy of the distribution system state estimation is highly influenced by optimal meter allocation. This paper presents an innovative method for the placement optimization of power distribution system measurement. The goal of the method is to minimize the number of necessary measurements and required Remote Terminal Units, subject to the system observability requirements. The method based on particle swarm optimization algorithm is proposed to solve the problem of optimal placement of meters for distribution system The algorithm predicts the cost and location of meters for identification and collection of measurements from the system. The algorithm has been tested with IEEE and TNEB systems.

Performance analysis study on state estimation in power distribution network

Online state estimation is becoming one of the key functions in deregulated distribution control centres. The bus voltages in the system are estimated from the measured values of feeder real and reactive power flows, etc. To reduce the metre cost, few actual measurements are carried out on the system through meter placement and the rest of the measurement need is satisfied by using pseudo-measurements, where estimation accuracy is often affected. To improve the estimation accuracy, the swarm tuned artificial neural network approach for bus voltage estimation in radial distribution systems is presented, which does not require pseudo-measurements. The back propagation neural network is trained by minimising the error function in a search space based on weights, tuned using particle swarm. The training data for the ANN is collected from real time monitoring of the test system through PSCAD simulation. The algorithm is tested to IEEE and TNEB network systems.

The Simulation Study of a Restructured Residential Low-Voltage Distribution System Microgrid

A primary and necessary focus in creating a greener environment is the conversion of existing power-generation sources to renewable power sources in the near future. Another important focus is to develop sustainable household power generation to a low-voltage electricity grid with a power purchase and selling facility. To help with achieving the above vision, the objective of this work is to critically analyze the existing low-voltage distribution system and make suggestions for restructuring it to the low-voltage interconnected microgrid (MG). The test was carried out in the Tamil Nadu Electricity Board (TNEB) 100kVA transformer feeder which was connected to supply around 100 houses with electricity. The performance analysis of the proposed system was examined through different case studies, represented as a normal operating condition of the existing distribution system and a reconstructed and interconnected MG to the TNEB grid. The project was designed and analyzed using PSCAD software. The results discussed in the project are helpful in examining the effects of multiple distributed energy resources on distributed generation. In future, knowledge of these effects may be helpful for rural area electrification.