Modelling and optimal energy management for battery energy storage systems in renewable energy systems: A review

Y Yang, S Bremner, C Menictas, M Kay - Renewable and Sustainable …, 2022 - Elsevier
Abstract Incorporating Battery Energy Storage Systems (BESS) into renewable energy
systems offers clear potential benefits, but management approaches that optimally operate …

[HTML][HTML] A review of behind-the-meter energy storage systems in smart grids

M Rezaeimozafar, RFD Monaghan, E Barrett… - … and Sustainable Energy …, 2022 - Elsevier
The electric power industry is experiencing a paradigm shift towards a carbon-free smart
system boosted by rising energy demand, depreciation of long-lived physical assets, as well …

Reinforcement learning-based scheduling strategy for energy storage in microgrid

K Zhou, K Zhou, S Yang - Journal of Energy Storage, 2022 - Elsevier
Integrated energy microgrids (IEMs) have developed rapidly in the past years with the
advancement of renewable energy and energy storage technologies. As a result, dealing …

Smart peer-to-peer and transactive energy sharing architecture considering incentive-based demand response programming under joint uncertainty and line outage …

H Niaei, A Masoumi, AR Jafari, M Marzband… - Journal of Cleaner …, 2022 - Elsevier
Due to the widespread deployment of distributed energy resources, renewable energies and
battery energy storage, the peer to peer (P2P) energy trading schematic has gained the …

A hybrid heuristic-reinforcement learning-based real-time control model for residential behind-the-meter PV-battery systems

M Rezaeimozafar, M Duffy, RFD Monaghan, E Barrett - Applied Energy, 2024 - Elsevier
The behind-the-meter (BTM) energy management problem has recently attracted a lot of
attention due to the increase in the number of residential photovoltaic (PV)-battery energy …

Optimisation methods for dispatch and control of energy storage with renewable integration

Z Guo, W Wei, M Shahidehpour, Z Wang… - IET Smart Grid, 2022 - Wiley Online Library
Renewable energy integration is an effective measure to resolve environmental problems
and implement sustainable development, yet the volatility of wind and solar generation has …

Optimal energy management of a residential prosumer: A robust data-driven dynamic programming approach

Z Guo, W Wei, L Chen, Z Wang… - IEEE Systems …, 2020 - ieeexplore.ieee.org
Prosumers are agents that both consume and produce energy. This article studies the
optimal energy management of a residential prosumer which consists of a renewable power …

[PDF][PDF] 基于并行多维近似动态规划的综合能源系统动态经济调度

张玉敏, 孙鹏凯, 吉兴全, 杨明, 于一潇… - 电力系统自动化, 2023 - epjournal.csee.org.cn
针对随机动态经济调度模型难以高效求解的问题, 提出一种用于快速求解电-气-
热综合能源系统(IES) 随机动态经济调度问题的并行多维近似动态规划算法 …

A Wasserstein distance-based distributionally robust chance-constrained clustered generation expansion planning considering flexible resource investments

B Chen, T Liu, X Liu, C He, L Nan, L Wu… - … on Power Systems, 2022 - ieeexplore.ieee.org
This paper proposes a distributionally robust chance-constrained (DRCC) model for the
clustered generation expansion planning (CGEP) of power systems. The proposed two …

Co-optimization and community: Maximizing the benefits of distributed electricity and water technologies

EC Jones, BD Leibowicz - Sustainable Cities and Society, 2021 - Elsevier
Distributed water and energy technologies have the potential to reduce reliance on
centralized infrastructures, household utility bills, and carbon footprints. Current adoption …