Swarm‐based mean‐variance map** optimization for optimal placement of energy storage with synthetic inertia control on a low inertia power grid

FS Rahman, Israjuddin, N Hariyanto… - IET generation …, 2021 - Wiley Online Library
Utilizing energy storage systems equipped with virtual/synthetic inertia control has emerged
as one of the solutions to solve low inertia issues in power systems with massive penetration …

Swarm based mean-variance map** optimization for convex and non-convex economic dispatch problems

TH Khoa, PM Vasant, MSB Singh, VN Dieu - Memetic Computing, 2017 - Springer
In power system generation, the economic dispatch (ED) is used to allocate the real power
output of thermal generating units to meet the required load demand so as the total cost of …

A review on economic emission dispatch problems using quantum computational intelligence

FP Mahdi, P Vasant, V Kallimani… - AIP Conference …, 2016 - pubs.aip.org
Economic emission dispatch (EED) problems are one of the most crucial problems in power
systems. Growing energy demand, limitation of natural resources and global warming make …

Hybrid Mean-Variance Map** Optimization for Economic Dispatch with Multiple Fuels Considering Valve-Point Effects

KH Truong, P Vasant, MS Balbir Singh… - Nature of Computation and …, 2016 - Springer
Many thermal generating units of an electric power system are supplied with multi-fuel
sources such as coal, natural gas and oil. These fuels represent irreplaceable natural …

[PDF][PDF] Swarm-based mean-variance map** optimization for optimal placement of energy storage with synthetic inertia control on a low inertia power grid

FSRIN Hariyanto, CW Liu - 2021 - academia.edu
Utilizing energy storage systems equipped with virtual/synthetic inertia control has emerged
as one of the solutions to solve low inertia issues in power systems with massive penetration …

[ΑΝΑΦΟΡΑ][C] Prospect of Meta-Heuristics Methods and Applications in Electric Power System

TH Khoa, PM Vasant, B Singh, M Singh, VN Dieu - Int J Swarm Intel Evol Comput, 2015