A5033099596- Process Optimization and Integration
- Advanced Control Systems Optimization
- Parallel Computing and Optimization Techniques
- Smart Grid Energy Management
- Cloud Computing and Resource Management
- Distributed and Parallel Computing Systems
- Fault Detection and Control Systems
- Advanced Multi-Objective Optimization Algorithms
- Optimal Experimental Design Methods
- Optimal Power Flow Distribution
- Probabilistic and Robust Engineering Design
- Microgrid Control and Optimization
Motilal Nehru National Institute of Technology
2023
The optimal placement and size of distributed generation (DG) in distribution networks has always been a challenge for utilities as well customers order to extract the maximum feasible advantages terms ecological, financial, technical issues. sizing DG system are ensure adequate performance network, which entails minimizing losses, enhancing voltage profiles, increasing resilience, consistency, load-bearing capacity. This study presents survey traditional, artificial intelligence, hybrid,...
Many simple decision processes are based on a single objective such as minimizing cost, maximizing profit, runtime and so forth. However decisions must be made in an environment where more than one objective, constrains the problem, relative value of each these is different. Such problems multiple objectives to optimized known Multi-objective optimization (MOO) problems. The problem becomes challenging case mutually conflicting i.e. optimal solution widely varies with shifting focus from...
Due to the advent of technologies and large resource intensive applications, a scale distributed heterogeneous system like grids have emerged as popular platforms. Grid Computing is kind computing that involves integrated collaborative use geographically-dispersed resources. Hence, reliable sharing required process huge amount computational jobs across system. So, effective approaches are for scheduling balance load distribution among available In this paper, heuristic approach using Ant...
Distributed system is a set of resources interconnected by network. Grid computing systems are distributed designed integrating heterogeneous with different characteristics. These for highly complex programs that require high processing power and huge volume input data. Large scale applications such as meteorological simulations, data intensive etc. can be easily solved in grid environment. The performance the degraded if overloaded due to incoming large no. jobs. To enhance performance,...