A hybrid robust-interval optimization approach for integrated energy systems planning under uncertainties

Y Dong, H Zhang, P Ma, C Wang, X Zhou - Energy, 2023‏ - Elsevier
The presence of multiple uncertainties in demand response and renewable energy
generation significantly impeded the planning of integrated energy systems (IES). To …

Analysis of energy storage demand for peak shaving and frequency regulation of power systems with high penetration of renewable energy

S Wang, F Li, G Zhang, C Yin - Energy, 2023‏ - Elsevier
Energy storage (ES) can mitigate the pressure of peak shaving and frequency regulation in
power systems with high penetration of renewable energy (RE) caused by uncertainty and …

Distributionally robust optimization model considering deep peak shaving and uncertainty of renewable energy

Y Zhu, J Liu, Y Hu, Y **e, D Zeng, R Li - Energy, 2024‏ - Elsevier
In order to achieve the goal of carbon neutrality, the capacity of renewable power generation
is continuously expanding while thermal power units are transitioning from main power …

Sizing capacities of renewable generation, transmission, and energy storage for low-carbon power systems: A distributionally robust optimization approach

R **e, W Wei, M Li, ZY Dong, S Mei - Energy, 2023‏ - Elsevier
To decrease carbon dioxide emission, a high penetration level of renewable energy will be
witnessed over the world in the future. By then, energy storage will play an important role in …

Medium-and long-term interval optimal scheduling of cascade hydropower-photovoltaic complementary systems considering multiple uncertainties

N Lu, G Wang, C Su, Z Ren, X Peng, Q Sui - Applied Energy, 2024‏ - Elsevier
An effective way to promote the consumption of renewable energy resource generation is by
forming a joint power supply system between photovoltaic (PV) power plants widely …

Interval energy flow calculation method for electricity-heat-hydrogen integrated energy system considering the correlation between variables

Y Chen, Y Jiang - Energy, 2023‏ - Elsevier
The uncertain operating state of integrated energy systems (IESs) increases significantly
with the ever-increasing renewable energy penetration. In order to evaluate the operation …

Particle swarm optimization for an optimal hybrid renewable energy microgrid system under uncertainty

MA Mquqwana, S Krishnamurthy - Energies, 2024‏ - mdpi.com
Microgrids can assist in managing power supply and demand, increase grid resilience to
adverse weather, increase the deployment of zero-emission energy sources, utilise waste …

Quantifying the effects of forecast uncertainty on the role of different battery technologies in grid-connected solar photovoltaic/wind/micro-hydro micro-grids: An optimal …

S Mohseni, AC Brent - Journal of Energy Storage, 2022‏ - Elsevier
Designing a reliable and robust micro-grid (MG) aided by energy storage devices requires
quantifying the parametric uncertainty associated with input data time-series, among other …

[HTML][HTML] Optimal scheduling of battery energy storage systems and demand response for distribution systems with high penetration of renewable energy sources

X Zhang, Y Son, S Choi - Energies, 2022‏ - mdpi.com
The penetration of renewable energy sources (RESs) is increasing in modern power
systems. However, the uncertainties of RESs pose challenges to distribution system …

Life extension of a multi-unit energy storage system by optimizing the power distribution based on the degradation ratio

X Gao, X Wu, Y **a, Y Li - Energy, 2024‏ - Elsevier
Battery energy storage systems are widely used to absorb renewable energy. However, the
difference in the initial state and operating conditions led to inconsistent degradation …