A novel quantum inspired hybrid metaheuristic for dispatch of power system including solar photovoltaic generation

KD Bodha, VK Yadav, V Mukherjee - Energy Sources, Part B …, 2021 - Taylor & Francis
This manuscript proposes a novel metaheuristic, which is an amalgamation of the quantum
concept and the gravitational search particle swarm optimization technique. The inclusion of …

Demand response operation of electricity-intensive chemical processes for reduced greenhouse gas emissions: application to an air separation unit

MT Kelley, R Baldick, M Baldea - ACS Sustainable Chemistry & …, 2018 - ACS Publications
A recent push for reduced greenhouse gas (GHG) emissions has led (in part) to the addition
of renewable electricity generation sources to the power generation mix. Renewables such …

Modified neo-fuzzy neuron-based approach for economic and environmental optimal power dispatch

KT Chaturvedi, M Pandit, L Srivastava - Applied Soft Computing, 2008 - Elsevier
At the central energy management center in a power system, the real time controls
continuously track the load changes and endeavor to match the total power demand with …

Hybrid neuro-fuzzy system for power generation control with environmental constraints

KT Chaturvedi, M Pandit, L Srivastava - Energy conversion and …, 2008 - Elsevier
The real time controls at the central energy management centre in a power system,
continuously track the load changes and endeavor to match the total power demand with …

A review of optimization methods for economic and emission dispatch considering PV and wind energy

MY Nassar, MN Abdullah… - IOP Conference Series …, 2021 - iopscience.iop.org
The power generation system has fossil fuels as their major electricity generation source.
This source is not reliable and environmentally friendly so, the alternative source such as …

Metasezgisel algoritmalar kullanılarak elektrik güç sistemlerinin optimizasyonu

MF Tefek - 2019 - acikerisim.selcuk.edu.tr
Özet Bu çalışmada güç sistemleri optimizasyonu için metasezgisel algoritmalar temelli
Yerçekimi Arama Algoritması (YÇAA) ile Öğretme-Öğrenme Temelli Optimizasyon (ÖÖTO) …

[引用][C] 机组负荷分配的多目标优化和多属性决策

李学斌 - 电力系统及其自动化学报, 2010