A smart energy management controller can improve efficiency, save costs, and reduce carbon emissions consumption while accurately catering to consumer habits. Having integrated various renewable systems (RESs) a battery storage system (BSS), we proposed an optimization-based demand-side (DSM) scheduler (SEMC) for home. The suggested SEMC creates DSM-based operational plan regarding user-centere...

Shuffled frog-leaping algorithm (SFLA) is a heuristic optimization technique based on swarm intelligence that is inspired by foraging behavior of the swarm of frogs. The traditional SFLA is easy to be premature convergence. So, we present an improved shuffled frog-leaping algorithm with single step search strategy and interactive learning rule(called ‘SI-SFLA’). Single step search strategy enha...

Received May 23, 2015 Revised July 13, 2015 Accepted August 2, 2015 A new distributed generation placement method based on biogeographybased optimization (BBO) is investigated in this paper. A significant novelty of this study lies in considering fuzzy load uncertainty. For this purpose a fuzzy backwardforward sweep load flow is proposed. The main objectives of this study is minimizing power lo...

The complex nature of the petrochemical industries necessitates an efficient decision on a large number of factors so as to optimally operate a plant. Production planning is an integral part of the petrochemical industry and requires the optimal selection of processes, production levels and products to maximize its profit. Previously an MILP formulation has been proposed for guiding the petroch...

In the present deregulated electricity market, power system congestion is main complication that an independent operator (ISO) faces on a regular basis. Transmission line trigger serious problems for smooth functioning in restructured causing increase cost of transmission hence affecting market efficiency. Thus, it utmost importance investigation various techniques order to relieve network. Gen...

Distributed generator (DG) placement in distribution system is one of the important tasks for better operation of distribution system. Distribution system has high r/x ratio and high operating current resulting into higher power loss and higher voltage drop. The main objective of this paper is to minimize the active power loss and to improve voltage profile of overall system by optimal sizing a...

The paper discusses yet another approach of clustering datasets whose cluster numbers are not known beforehand. The suggested approach effectively determines the number of clusters or partitions while running the algorithm. The proposed method is only limited to partitional clustering inspired from the K-means algorithm. In this work a Modified TeachingLearning-Based Optimization (MTLBO) is use...