Distributed Artificial Intelligence

The Optimal Placement of Distributed Generation (DG) to Improve the Voltage Profile and Reduce Losses in Radial Distribution Networks Using PSO

Voltage profile and losses are important factors in a distribution network in which there arevariety of ways to improve them. In this paper, distributed generation (DG) is used as a solutionto improve the above characteristics. Backward/Forward Sweep load flow algorithm is used dueto the inefficiency of usual load flow algorithms because of high R/X ratio and their lack ofconvergence in distrib...

Presenting a Novel Algorithm to Optimal Designing Power Distribution Network in the Presence of DG

Regarding the nature of non-linear discrete placement, and in order to determine the optimal capacity of the substation, the goal in the present study will be a number of local optimum points. In this research, the problem of optimal placement posts to reduce power losses by considering Distributed Generation (DG). In formulating the objective function, geographical distribution density in the ...

A Multiagent Architecture for a Distributed Artificial Intelligence Application

Artificial intelligence applications are normally complex, demanding much computing power. This paper presents the multiagent architecture of StormCast, a distributed artificial intelligence application for severe storm forecasting. Important objectives as scaleability, robustness and reusability can be met by partitioning an overall task in subtasks, distribution of the subtasks on different n...

Environmental Decision Support: a Distributed Artificial Intelligence Approach

1 Introduction

Concurrent Programming for Distributed Artificial Intelligence