Demand response-integrated investment and operational planning of renewable and sustainable energy systems considering forecast uncertainties: A systematic …

S Mohseni, AC Brent, S Kelly, WN Browne - Renewable and Sustainable …, 2022 - Elsevier
The parametric uncertainties inherent in the models of renewable and sustainable energy
systems (RSESs) make the associated decision-making processes of integrated resource …

Microgrid energy management with energy storage systems: A review

X Liu, T Zhao, H Deng, P Wang, J Liu… - CSEE Journal of …, 2022 - ieeexplore.ieee.org
Microgrids (MGs) are playing a fundamental role in the transition of energy systems towards
a low carbon future due to the advantages of a highly efficient network architecture for …

Optimal power flow of power systems including distributed generation units using sunflower optimization algorithm

MAM Shaheen, HM Hasanien, SF Mekhamer… - IEEE …, 2019 - ieeexplore.ieee.org
This article introduces a new attempt of utilizing the sunflower optimization (SFO) algorithm
in solving the problem of optimal power flow (OPF) in the field of power systems. The …

Optimal allocation for coupling device in an integrated energy system considering complex uncertainties of demand response

W Liu, Y Huang, Z Li, Y Yang, F Yi - Energy, 2020 - Elsevier
The integrated energy system (IES) has received considerable attention worldwide recently,
which can coordinate and optimize various types of energy. This paper proposes an optimal …

Possibilistic evaluation of photovoltaic hosting capacity on distribution networks under uncertain environment

H Yao, W Qin, X Jing, Z Zhu, K Wang, X Han, P Wang - Applied Energy, 2022 - Elsevier
The large-scale access of distributed photovoltaic (PV) in distribution networks (DNs), if not
properly evaluated, brings several problems. The uncertainties with PV outputs and load …

[HTML][HTML] Survey of optimization models for power system operation and expansion planning with demand response

VN Motta, MF Anjos, M Gendreau - European Journal of Operational …, 2024 - Elsevier
With the implementation of demand response programs and its increasing penetration in the
power grid, various new challenges to the grid's operation have emerged. As a …

Optimal operation scheduling of a microgrid incorporating battery swapping stations

S Esmaeili, A Anvari-Moghaddam… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper proposes optimal operation scheduling of a Microgrid (MG) and battery swapping
stations (BSSs) as two independent stakeholders with inherently conflicting objectives. In …

Coordinated regulation of voltage and load frequency in demand response supported biorenewable cogeneration‐based isolated hybrid microgrid with quasi …

AK Barik, DC Das - International Transactions on Electrical …, 2020 - Wiley Online Library
This work is the earliest attempt towards coordinated regulation of both frequency and
voltage of an isolated multisource‐based hybrid microgrid with demand response support …

Improving load forecasting process for a power distribution network using hybrid AI and deep learning algorithms

S Motepe, AN Hasan, R Stopforth - IEEE Access, 2019 - ieeexplore.ieee.org
Load forecasting is useful for various applications, including maintenance planning. The
study of load forecasting using recent state-of-the-art hybrid artificial intelligence (AI) and …

[HTML][HTML] An optimal bidding and scheduling method for load service entities considering demand response uncertainty

R Han, Q Hu, H Cui, T Chen, X Quan, Z Wu - Applied Energy, 2022 - Elsevier
With the rapid development of demand-side management technologies, load serving entities
(LSEs) may offer demand response (DR) programs to improve the flexibility of power system …