Joint planning of distributed generations and energy storage in active distribution networks: A Bi-Level programming approach

Y Li, B Feng, B Wang, S Sun - Energy, 2022 - Elsevier
In order to improve the penetration of renewable energy resources for distribution networks,
a joint planning model of distributed generations (DGs) and energy storage is proposed for …

Systematic review and cutting-edge applications of prominent heuristic optimizers in sustainable energies

P Ifaei, AT Esfehankalateh, F Ghobadi… - Journal of Cleaner …, 2023 - Elsevier
In recent decades, significant research has been devoted to optimizing sustainable energies
to improve their technical performance, economic profitability, and social acceptance …

Stochastic optimal scheduling of demand response-enabled microgrids with renewable generations: An analytical-heuristic approach

Y Li, K Li, Z Yang, Y Yu, R Xu, M Yang - Journal of Cleaner Production, 2022 - Elsevier
In the context of transition towards cleaner and sustainable energy production, microgrids
have become an effective way for tackling environmental pollution and energy crisis issues …

A critical review of data-driven transient stability assessment of power systems: principles, prospects and challenges

S Zhang, Z Zhu, Y Li - Energies, 2021 - mdpi.com
Transient stability assessment (TSA) has always been a fundamental means for ensuring
the secure and stable operation of power systems. Due to the integration of new elements …

Optimal scheduling of isolated microgrid with an electric vehicle battery swapping station in multi-stakeholder scenarios: A bi-level programming approach via real …

Y Li, Z Yang, G Li, Y Mu, D Zhao, C Chen, B Shen - Applied energy, 2018 - Elsevier
In order to coordinate the scheduling problem between an isolated microgrid (IMG) and
electric vehicle battery swapping stations (BSSs) in multi-stakeholder scenarios, a new bi …

A two-stage approach for combined heat and power economic emission dispatch: Combining multi-objective optimization with integrated decision making

Y Li, J Wang, D Zhao, G Li, C Chen - Energy, 2018 - Elsevier
To address the problem of combined heat and power economic emission dispatch
(CHPEED), a two-stage approach is proposed by combining multi-objective optimization …

Deep learning for short-term voltage stability assessment of power systems

M Zhang, J Li, Y Li, R Xu - IEEE Access, 2021 - ieeexplore.ieee.org
To fully learn the latent temporal dependencies from post-disturbance system dynamic
trajectories, deep learning is utilized for short-term voltage stability (STVS) assessment of …

An improved NSGA-III integrating adaptive elimination strategy to solution of many-objective optimal power flow problems

J Zhang, S Wang, Q Tang, Y Zhou, T Zeng - Energy, 2019 - Elsevier
This paper formulates the OPF problem as a many-objective OPF (Ma-OPF) problem with
consideration of minimizing many objective functions including the total fuel cost (TFC), total …

[HTML][HTML] Equilibrium optimizer based multi dimensions operation of hybrid AC/DC grids

DT Abdul-hamied, AM Shaheen, WA Salem… - Alexandria Engineering …, 2020 - Elsevier
This paper develops a recent population-based of Equilibrium Optimizer Algorithm (EOA) for
solving the optimal power flow (OPF) problem in hybrid AC/DC power grids. The proposed …

Multi-objective optimal reactive power dispatch of power systems by combining classification-based multi-objective evolutionary algorithm and integrated decision …

M Zhang, Y Li - IEEE Access, 2020 - ieeexplore.ieee.org
For the purpose of addressing the multi-objective optimal reactive power dispatch (MORPD)
problem, a two-step approach is proposed in this paper. First of all, to ensure the economy …