Manas Ranjan Nayak

Optimal battery energy storage sizing for grid connected PV system using IHSA

In this paper, the size of the battery energy storage system (BESS) of a grid-connected PV system is determined so that the system will be sufficient to supply the load as well as the total annual operating cost (AOC) remains as minimum as possible. Here the feed-in-tariff plan is adopted, where power can be bought from the grid as well as can be sold back to the grid if surplus power is available at the consumer end. So the consumer is equipped with a net metering system to calculate the net electricity cost. Depending upon the peak/off-peak hours and availability of sunshine, the system will charge or discharge the storage to supply the demand. Improved Harmony Search Algorithm (IHSA) optimization technique is used to determine the size of the BESS with an objective of minimizing the total AOC within the frame work of system operation constraints. The outcomes verify that the IHSA is efficient, robust, fast and capable of solving optimization problems.

Optimal design of battery energy storage system for peak load shaving and time of use pricing

In this paper, the size of the battery bank of a grid-connected PV system is optimized subjected to the objective function of minimizing the total annual operating cost, ensuring continuous power supply within the frame work of system operation constraints using Improved Harmony Search Algorithm (IHSA). The load flow is carried out with peak load shaving where the state of charge (SOC) of the batteries is not allowed to lower beyond a certain value during sunshine hour. The feed-in-tariff plan is adopted, where power can be bought from the grid as well as can be sold back to the grid in case of surplus power. So a net metering system at consumer end calculates the net electricity cost. Depending upon the peak/off-peak hours and availability of sunshine, the system charges or discharges the storage to supply the demand. The outcomes verify that the IHSA is an efficient, robust and fast optimization technique.

Optimal size and cost analysis of standalone PV system with battery energy storage using IHSA

The goal of this paper is find the best design in terms of cost for analyzing the renewable energy sources available in a rural area of Jaisalmer district in Rajasthan, India considering the average hourly solar insolation and load profile of that location which will help the small village avail electricity. In this paper, the size of standalone PV system with battery energy storage are determined so that the system will be sufficient to supply the load as well as the total annual cost of the system (ACS) remains as minimum as possible. The simulation by Improved Harmony Search Algorithm (IHSA) method is proposed to determine the size of the PV system with battery energy storage with an objective of minimizing the levelized cost of energy (LCE) within the frame work of system operation constraints. Additionally, a study of operating hours of diesel generator (DG) in optimal configuration is presented.

A Distributed Transmission Power Efficient Fault-Tolerant Topology Management Mechanism for Nonhomogeneous Wireless Sensor Network

We propose a distributed and transmission power efficient fault-tolerant topology management technique, known as transmission power efficient disjoint path (TEDP), designed for nonhomogeneous wireless sensor networks (WSNs). A nonhomogeneous WSN is consisting of a substantially large count of energy-constrained and low-computational capability low-cost sensors and a small number of resource-extensive sensors with unrestrained battery power. The aim of our proposed algorithm is to designate every sensor node’s communication range in order to ensure that every sensor node establishes k-vertex disjoint connectivity with resource-extensive nodes, and the overall transmission power utilization in the network is substantially minimized. With the employment of TEDP algorithm, the induced topologies can tolerate k − 1 node failures in the worst case. The experimental outcomes demonstrate that in contrast to existing solutions our algorithm attains the decline in overall transmission power substantially by 25% and the decline in utmost transmission power needed in a sensor node by 30%.

Multi-objective Assessment of Wind/BES Siting and Sizing in Electric Distribution Network

The paper presents a multi-objective genetic algorithm (MOGA), which is used to allocate the wind/battery energy storage (BES) considering the annual operating cost and annual cost of power loss incorporated with distribution system. The developed platform is implemented on 69-bus radial distribution system (RDS) considering intermittent renewable power as wind which is supported by battery energy storage to overcome the power deficit. An efficient battery management strategy is adopted to prevent overcharging/discharging of the battery. The achieved results signify the high potential of optimizing algorithm for the studied system objectives and enhancing the techno-economics of the distribution system using MOGA.

Optimal PV & BES units integration to enhance power distribution network performance

Integration of renewable energy sources at the consumer end in a distribution system leads to consumption of less power from the substation as well as to reduce the energy loss. But integrating a large amount of Photovoltaic (PV) systems cause reverse power flow in feeders which increase the voltage beyond the upper limit in the distribution line and inject power into the substation. Using battery energy storage (BES) units solves both the problems simultaneously. In this paper size of both PV panel and the BES system are optimized so as to obtain minimum energy loss. Here Improved Harmony Search Algorithm (IHSA) is used for placement and capacity optimization of PV and BES units in a 69-bus radial distribution system. IHSA is proved to be very fast, efficient and reliable optimization technique in solving this problem.