Attaining sustainable development goals (SDGs) through supply chain practices and business strategies: A systematic review with bibliometric and network analyses

R Agrawal, A Majumdar, K Majumdar… - … Strategy and the …, 2022 - Wiley Online Library
Sustainable development goals (SDGs), adopted by the United Nations in 2015, are gaining
importance in all the industrial sectors. The attainment of SDGs will lead to simultaneous …

A systematic review of optimal planning and deployment of distributed generation and energy storage systems in power networks

D Zhang, GM Shafiullah, CK Das, KW Wong - Journal of Energy Storage, 2022 - Elsevier
Climate change is encouraging a growing interest worldwide to increase renewable
distributed generation (DG) integration into the power grid. DG is free from greenhouse gas …

Integration of renewable energy and electric vehicles in power systems: a review

NM Manousakis, PS Karagiannopoulos, GJ Tsekouras… - Processes, 2023 - mdpi.com
Electric vehicles (EVs) represent a promising green technology for mitigating environmental
impacts. However, their widespread adoption has significant implications for management …

An optimization planning framework for allocating multiple distributed energy resources and electric vehicle charging stations in distribution networks

KE Adetunji, IW Hofsajer, AM Abu-Mahfouz, L Cheng - Applied Energy, 2022 - Elsevier
In develo** a sustainable and efficient power systems network while reducing carbon
footprint, renewable energy (RE)-based Distribution Generation (DG) units are highly …

A pareto strategy based on multi-objective optimal integration of distributed generation and compensation devices regarding weather and load fluctuations

K Fettah, T Guia, A Salhi, A Betka, AS Saidi… - Scientific Reports, 2024 - nature.com
In this study, we present a comprehensive optimization framework employing the Multi-
Objective Multi-Verse Optimization (MOMVO) algorithm for the optimal integration of …

A novel multi-objective optimization based multi-agent deep reinforcement learning approach for microgrid resources planning

MS Abid, HJ Apon, S Hossain, A Ahmed, R Ahshan… - Applied Energy, 2024 - Elsevier
Multi-agent deep reinforcement learning (MADRL) approaches are at the forefront of
contemporary research in optimum electric vehicle (EV) charging scheduling challenges …

[HTML][HTML] Optimization planning method of distributed generation based on steady-state security region of distribution network

B Sun, Y Li, Y Zeng, J Chen, J Shi - Energy Reports, 2022 - Elsevier
Distributed wind and photovoltaic (PV) power generation are boosting in China. The wide
integration of these generators into the distribution network leads to the risk of branch …

A hybrid robust-stochastic approach for strategic scheduling of a multi-energy system as a price-maker player in day-ahead wholesale market

N Nasiri, S Zeynali, SN Ravadanegh, M Marzband - Energy, 2021 - Elsevier
This study investigates the strategic scheduling of a multi-energy system (MES) in the day-
ahead wholesale market (DWM) as a price-maker that can submit offers/bids to …

Optimal design of grid-connected hybrid renewable energy system considering electric vehicle station using improved multi-objective optimization: Techno-economic …

AAK Al-Sahlawi, SM Ayob, CW Tan, HM Ridha… - Sustainability, 2024 - mdpi.com
Electric vehicle charging stations (EVCSs) and renewable energy sources (RESs) have
been widely integrated into distribution systems. Electric vehicles (EVs) offer advantages for …

Multi-objective optimization for optimal allocation and coordination of wind and solar DGs, BESSs and capacitors in presence of demand response

HA Taha, MH Alham, HKM Youssef - IEEE Access, 2022 - ieeexplore.ieee.org
The renewable energy sources (RES) based distributed generations (DGs) have been
proven to be of great technical and economic benefits if optimally allocated in distribution …