M. Anitha

FDR PSO-based Transient Stability Constrained Optimal Power Flow Solution for Deregulated Power Industry

Abstract In this article, a novel method, called fitness distance ratio particle swarm optimization (FDR PSO) is employed to solve the optimal power flow (OPF) problem with ramp rate limits of the generators. The proposed method has been demonstrated on IEEE 30 bus test system and the results are compared with recently published works of the other optimization methods. Transient stability limit is incorporated while solving the OPF problem. Wheeling transactions are also carried out on the test system and their feasibility is checked with the transient stability limit of the generators. Contingency analysis is also carried out on the test system and the system stability is verified.

Co-operative analysis of proactive and reactive protocols using Dijkstra's Algorithm

Ad hoc networking provides movable devices to establish communication independent of a main infrastructure. However, the fact that there is no main infrastructure and that the devices can move randomly gives rise to various kind of problems, such as routing and security. In this system, path routing and protocol selection are the primary strategies to design any wireless network. In mobile Adhoc network (MANET) the selected protocol should have best in terms data delivery and data integrity. Hence, the performance analysis of the protocols is the main step before selecting a particular protocol. Selection of the protocols and path routing are the most common strategies that are to be focused while designing any kind of wireless networks such as MANETs, WSNs, WMNs and VANETs. MANETs A lot of challenges which are facing wireless MANETs like network stability, security, and energy. In this paper, using Dijkstras Algorithm and to find shortest path, and hence to carrying out the performance analysis on Adhoc On-demand Distance Vector (AODV), Dynamic Source Routing (DSR), Optimized Link State Routing (OLSR) and Destination Sequenced Distance Vector (DSDV) protocols using NS2 simulator. The end-to-end delay, throughput and packet delivery ratio are the three parameters we are using for the comparison of performance of routing protocols.

Transmission Congestion Management in Restructured Power System using Firefly Algorithm

Transmission congestion management is one of the critical and important tasks of the system operator. Transmission line congestion is considered to be more important as it may initiate the cascading outages which forces the system to collapse. This paper presents a transmission congestion management (CM) algorithm by optimal rescheduling of active powers of generators using firefly (FF) algorithm. All the generators in the system need not take part in CM. Generator sensitivity to the congested line and the cost of generation are considered while rescheduling the generators to alleviate congestion. In this paper an efficient FF algorithm is used for solving CM problem. The proposed method has been tested on IEEE 30 bus system and the results of various case studies have been compared with that of RCGA & SA methods. Results prove that FF algorithm is indeed capable of obtaining higher quality solutions for the CM problem.

Bacterial Foraging Algorithm for Reliability Performance of Radial Distribution System with DG

Assessment of customer power supply reliability is an important part of distribution system operation and planning. Distribution system reliability assessment is able to predict the interruption profile of a distribution system based on system topology and component reliability data. In this paper, a methodology has been developed for reliability enhancement of radial distribution system having distributed generation (DG). DG is being adopted in distribution networks with one of the objectives being enhancement of system reliability. By determining the optimum values of failure rates/repair times, reliability of the distribution system has been optimized subjected to constraints on customer and energy based indices i.e. SAIFI, SAIDI, CAIDI, AENS, and ASAI. The objective function includes (i) cost of modification for failure rates/repair times (ii) additional cost of expected energy supplied by DG. A recently developed Bacterial foraging algorithm (BFA) is employed to solve the optimization problem. The proposed algorithm has been implemented on an eight node distribution network. The obtained results are compared with PSO, CAPSO and DE algorithms.

Transient stability constrained optimal power dispatch with linear ramping model

This paper describes the application of modified Particle Swarm Optimization (PSO) called Fitness Distance Ratio PSO (FDR PSO) algorithm to determine the optimal power dispatch of the Independent Power Producers (IPP) in deregulated environment. Generally the power producers must respond quickly to the changes in load and wheeling transactions. During this process, the ramping cost must be incurred if the ramp rates of the power producers exceed the elastic range. In this paper, optimal production costs of the power producers are computed with ramping cost with stepwise and piecewise linear ramp rate limits. Transient stability limits of the power producers and physical transmission line limits with contingency are also considered while solving the Optimal Power Flow problem. The proposed algorithm is demonstrated on a practical ten bus system and the results are compared with other optimization methods.

Performance analysis of on-demand routing protocol for MANET using EA3ACK algorithm

Mobile ad-hoc networks (MANETs) do not have a fixed infrastructure. Every single node in the MANET works as both receiver and transmitter. Each node directly communicates with the other when they are both within their communication range. All nodes work as routers and take path in discovery and maintenance of routes to other nodes in the network. In this paper, a new intrusion detection system, enhanced adaptive 3 acknowledgement (EA3ACK), using EAACK with hybrid cryptography is (MARS4) specially designed for MANET. In the hybrid cryptography a two key method namely MARS4 which is a combination of RSA and MAJE4 is employed to reduce the routing overhead. Network simulator (NS2) is used to implement and test the proposed system. The proposed hybrid cryptography provides secured transmission, further it reduces routing overhead, improves packet delivery ratio and throughput.

Optimal Power Flow constrained by transient stability based on improved Particle Swarm Optimisation

The objective of Optimal Power Flow (OPF) problem is to minimise fuel cost function of the generator with practical constraints such as tap changing transformers, var sources, etc. In this paper, an improved Particle Swarm Optimisation (PSO) method is employed to solve the OPF problem with ramp rate limits of the generators. To avoid the premature condition of the conventional PSO, a velocity update has been carried out to improve its performance. Wheeling transactions are also carried out on the test system and their feasibility is checked with the transient stability limit of the generators. Contingency analysis is also carried out on the test system and the system stability is checked. The proposed method has been demonstrated on 10 units, 39-bus New England test system to obtain OPF solution with transient stability limit.