Real Time Energy Management of a Wind-Micro-turbine-PV Energy System
with Storage Unit connected to Utility optimized by use of Particle Swarm
Optimization
Abstract
Energy sustainability of energy systems is a multi-objective, multi-
constraint problem, where the energy system requires the capability to make
rapid and robust decisions regarding the dispatch of electrical power produced
by generation assets. This process of control for energy system components is
known as energy management. The application of particle swarm optimization
(PSO), which is a biologically inspired direct search method, to find real-time
optimal energy management solutions for a stand-alone Wind – Micro-turbine –
PV energy system, is presented. Results demonstrate that the proposed PSO-
based energy management algorithm can solve an extensive solution space while
incorporating many objectives such as: minimizing the cost of generated
electricity, maximizing MT operational efficiency and minimizing utility’s charge.
Promising simulation results indicate the suitability of PSO for realtime energy
management
P
WT
P
Load
P
MT
P
util
P
PV
P
PV
*efficiency
P
batttery
P
PV
*efficiency
AC Bus 400V
Load
Battery
20kW
MT 20kW
Utility
20kV/400V
WECS
100kW
PV Array
100kW
Inverter
Inverter