A study on load sensitive power generation in Hybrid Renewable Energy system using Evolutionary Algorithms based -Energy Management System control

1,2,3Department of Electrical Engineering, Aliah University, Kolkata 700156, India

E-mail: 1aninditadasmondal1984@gmail.com, 2knasim@gmail.com,3ikbalasif22@gmail.com

Manuscript Received online 5/31/2020, Accepted 8/21/2020

Electricity being an inevitable a non-substitutable demand of modern human society has always been an interesting domain to explore about. No doubt, in present day, a sustainable society and prospective human living can’t be expected without sufficient electricity. Such significances lead industries to explore various source of energy and thus power system comes into existence to meet quality and reliability of power generation and transmission to the beneficiaries. On the contrary, exponentially rising demand in power requirements have put curves over the head of industries as well as governing agencies to enable optimal power supply for meeting the demands. To achieve this goal achieving novel and robust power generation, storage, transmission and allied control systems are of great significance. Undeniably, the exponential rise in population, industries and allied power demands has alarmed academia-industries to achieve eco-friendly and reliable sources of energy. Amongst major sustainable and eco-friendly energy sources, Renewable Energy Sources (RESs) like Wind-Turbine (WT), Photovoltaic (PV) cells, etc have emerged as the vital solutions. Realizing cost efficient and reliable power supply, integration of different RESs have gained immense attention globally, thus giving rise to a new power system concept named Hybrid RES (HRES) System. Amongst major HRES systems, WT-PV combination is the better option. However, non-linear nature of power generation makes overall HRES control intricate that demands robust control strategy by considering both non-linear power generation as well as dynamic load conditions. Load side variation often causes power outage and faults in the grid network. It motivates researchers to develop more efficient and reliable Energy Management System (EMS) to perform load and generation sensitive charging-discharging control for efficient EMS function. In this paper, the proposed PV-WT HRES model encompasses with variable speed controlled PMSG WT generator and EMS control units. For getting novel and robust EMS control function, the proposed model allows an Evolutionary Algorithm (EA) assisted PID controller to optimize PID gain parameters for efficient transient control. In this paper, Flower Pollination Algorithm (FPA) has been developed to be used for online PID tuning. The simulation results reveal that the proposed FPA based PID controller system showing better charging-discharging control even under dynamic load condition.