Manju Mam

Work place: EEE Dept, Faculty of Engineering and Technology, Manav Rachna International University, Faridabad, India



Research Interests: Computational Science and Engineering, Computational Engineering, Engineering


Manju Mam, Research Scholar, Manav Rachna is B.Tech. in Electronics and Communication Engineering from NIT, Srinagar and M.S in Software Systems from BITS Pilani. She also holds an MBA degree with specialization in HR. She has over 26 years of teaching experience. Her areas of interest are Power Distribution, Geographical Information Systems, IT in Power Industry

Author Articles
Improved K-means Clustering based Distribution Planning on a Geographical Network

By Manju Mam Leena G N.S. Saxena

DOI:, Pub. Date: 8 Apr. 2017

This paper presents a distribution planning on a geographical network, using improved K-means clustering algorithm and is compared with the conventional Euclidean distance based K-means clustering algorithm. The distribution planning includes optimal placement of substation, minimization of expansion cost, optimization of network parameters such as network topology, routing of single/multiple feeders, and reduction in network power losses. The improved K-means clustering is an iterative weighting factor based optimization algorithm which locates the substation optimally and improves the voltage drop at each node. For feeder routing shortest path based algorithm is proposed and the modified load flow method is used to calculate the active and reactive power losses in the network. Simulation is performed on 54 nodes based geographical network with load points and the results obtained show significant power loss minimization as compared to the conventional K-means clustering algorithm.

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Distribution Network Reconfiguration for Power Loss Minimization Using Bacterial Foraging Optimization Algorithm

By Manju Mam Leena G N.S. Saxena

DOI:, Pub. Date: 8 Mar. 2016

This paper presents a distribution network reconfiguration based on bacterial foraging optimization algorithm (BFOA) along with backward-forward sweep (BFS) load flow method and geographical information system (GIS). Distribution network reconfiguration (DNR) is a complex, non-linear, combinatorial, and non-differentiable constrained optimization process aimed at finding the radial structure that minimized network power loss while satisfying all operating constraints. BFOA is used to obtain the optimal switching configuration which results in a minimum loss, BFS is used to optimize the deviation in node voltages, and GIS is used for planning and easy analysis purposes. Simulation is performed on the 33-bus system and results are compared with the other approaches. The obtained results show that the proposed approach is better in terms of efficiency and having good convergence criteria.

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Other Articles