
Performance optimisation for novel green plug‐energy economizer in micro‐grids based on recent heuristic algorithm
Author(s) -
Gabbar Hossam A.,
Othman Ahmed M.
Publication year - 2016
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2015.0098
Subject(s) - computer science , pid controller , photovoltaic system , controller (irrigation) , voltage , control theory (sociology) , engineering , control engineering , temperature control , control (management) , electrical engineering , agronomy , artificial intelligence , biology
This study presents technical issues to enhance the micro‐grids (MGs) performance. Novel distributed flexible AC transmission system (D‐FACTS) is applied on AC/DC MGs to achieve full utilization of distributed generations (DGs), and to improve power quality and system stability. That D‐FACTS is called green plug‐energy economizer (GP‐EE) device, which is proposed with two schemes to be applied on both DC/AC terminals of MG. DGs are used within MGs so that they can meet dynamic load patterns. Proposed design of MG includes photovoltaic, fuel cell, battery, storage system, micro‐gas turbine and wind turbine. GP‐EE device will be controlled by PID modified weighted controller. Dynamic tri‐loop error driven will be enhanced by extra supplementary regulation loops to ensure power factor correction, stabilize buses voltage, reduce feeder losses and power quality enhancement. A recent heuristic optimization technique is called backtracking search algorithm, and is proposed for optimal selection of the scheme parameters of pulse‐width modulation pulsing stage of GP‐EE to dynamically online gains adjustment of PID tri‐loop regulation process and minimization of the global control error. Digital simulations have been validated GP‐EE schemes effectiveness based on without and with modules performance. Achieved results show applicability and improved performance using the proposed technique.