ENHANCE PREDICTION PERFORMANCE THROUGH CONTINUOUS MONITORING OF WIND TURBINE

India lost first place in worldwide ranking on total installed wind capacity to china. Due to some issues like, grid issue, unavailability of infrastructure, monitoring wind turbine, offshore wind related R & D activities in the country, etc. This makes attributed to the slower pace to addition of wind power capacity; due to unavailability of on-shore wind sites with sufficiently high wind velocity is expected to take centre stage in the next few years. Low wind velocity makes the investment unattractive to developers. In current situation, monitoring and R & D is an investment option. Which has already seen favourable response in a country like china Germany, Denmark would begins in India. This analyses the present situation of wind energy farm at District Devas, Madhya Pradesh and investigates the possibilities of monitor the wind turbine to enhance the performance. In this paper, wind speed, peak speed, standard deviation, wind power density is to estimated monthly at different altitude. Monitor capacity factor, energy generated through wind turbine, X-chart and R-chart drawn, maintenance and environmental impact have been analyzed

ON NON-QUADRATIC PENALTY FUNCTION FOR NON-LINEAR PROGRAMMING PROBLEM WITH EQUALITY CONSTRAINTS

Purpose: The present paper focuses on the Non-Linear Programming Problem (NLPP) with equality constraints. NLPP with constraints could be solved by penalty or barrier methods. Methodology: We apply the penalty method to the NLPP with equality constraints only. The non-quadratic penalty method is considered for this purpose. We considered a transcendental i.e. exponential function for imposing the penalty due to the constraint violation. The unconstrained NLPP obtained in this way is then processed for further solution. An improved version of evolutionary and famous meta-heuristic Particle Swarm Optimization (PSO) is used for the same. The method is tested with the help of some test problems and mathematical software SCILAB. The solution is compared with the solution of the quadratic penalty method. Results: The results are also compared with some existing results in the literature

SOLUTION AND PERFORMANCE EVALUATION OF TRANS-SHIPMENT PROBLEM USING A MINIMUM SPANNING TREE APPROACH

Purpose: Transportation problem plays an important role in operations research. The more generalized cases of transportation problems are trans-shipment problems. Further, the trans-shipment problems may have a set of trans-shipment nodes, or the source/destination nodes themselves act as the trans-shipment nodes. The study of the trans-shipment problems and their solution methodology is the goal of this paper. Methodology: The solution of a trans-shipment problem could be done by transferring it to a transportation problem. Further, there exist various conventional methods for solving the transportation problem. The present paper discusses about the scope of application of an existing heuristic algorithm directly over the trans-shipment problem. The heuristic is based on the minimum spanning tree approach. We implement the algorithm over a test problem and further compare its performance by the performance of the corresponding algorithm Vogel’s Approximation Method. Main findings: The spanning tree approach gives a better solution or almost the nearby solution as compared to the solution obtained by Vogel’s Approximation Method. Implications: The solution obtained by the spanning-tree approach takes lesser computational effort to reach a better feasible solution. The novelty of study: The algorithm to deal with the trans-shipment problem i.e. for finding the feasible solution of the trans-shipment problem is the main focus of this paper.Transportation Proble