Optimal power flow via teaching-learning-studying-based optimization algorithm
The teaching-learning-based optimizer (TLBO) algorithm is a powerful and efficient
optimization algorithm. However it is prone to getting stuck in local optima. In order to …
optimization algorithm. However it is prone to getting stuck in local optima. In order to …
ESMA-OPF: Enhanced slime mould algorithm for solving optimal power flow problem
In this work, an enhanced slime mould algorithm (ESMA) based on neighborhood
dimension learning (NDL) search strategy is proposed for solving the optimal power flow …
dimension learning (NDL) search strategy is proposed for solving the optimal power flow …
Optimal power flow solution in the presence of renewable energy sources
MS Syed, SV Chintalapudi, S Sirigiri - Iranian Journal of Science and …, 2021 - Springer
In the present work, the renewable energy sources are integrated into the power system. For
this purpose, the wind-rich locations and sunny areas are identified in the considered …
this purpose, the wind-rich locations and sunny areas are identified in the considered …
On critical timescale of real-time power balancing in power systems with intermittent power sources
Z Wang, Z Guo - Electric Power Systems Research, 2018 - Elsevier
From the perspective of power balancing, we consider in this paper the timescale of real-
time dispatch in power systems with high penetration of intermittent power sources. Due to …
time dispatch in power systems with high penetration of intermittent power sources. Due to …
Unit commitment model considering flexible scheduling of demand response for high wind integration
B Wang, X Liu, F Zhu, X Hu, W Ji, S Yang, K Wang… - Energies, 2015 - mdpi.com
In this paper, a two-stage stochastic unit commitment (UC) model considering flexible
scheduling of demand response (DR) is proposed. In the proposed UC model, the DR …
scheduling of demand response (DR) is proposed. In the proposed UC model, the DR …
Optimum subsidy to promote electric boiler investment to accommodate wind power
D Liu, SK Wang, JC Liu, H Huang, XP Zhang, Y Feng… - Sustainability, 2017 - mdpi.com
The increasing development of combined heat and power (CHP) plants is exacerbating the
wind power curtailment problem in regional power grids during the winter heating season …
wind power curtailment problem in regional power grids during the winter heating season …
[PDF][PDF] ESMA-OPF: Enhanced Slime Mould Algorithm for Solving Optimal Power Flow Problem. Sustainability 2022, 14, 2305
In this work, an enhanced slime mould algorithm (ESMA) based on neighborhood
dimension learning (NDL) search strategy is proposed for solving the optimal power flow …
dimension learning (NDL) search strategy is proposed for solving the optimal power flow …