Uncertainty models for stochastic optimization in renewable energy applications
With the rapid surge of renewable energy integrations into the electrical grid, the main
questions remain; how do we manage and operate optimally these surges of fluctuating …
questions remain; how do we manage and operate optimally these surges of fluctuating …
State-of-the-art techniques for modelling of uncertainties in active distribution network planning: A review
A Ehsan, Q Yang - Applied energy, 2019 - Elsevier
The intermittent generation of non-dispatchable renewable distributed generation, along
with the load variability, demand growth and electricity market prices impose operational …
with the load variability, demand growth and electricity market prices impose operational …
Planning of distributed renewable energy systems under uncertainty based on statistical machine learning
X Fu, X Wu, C Zhang, S Fan… - Protection and Control of …, 2022 - ieeexplore.ieee.org
The development of distributed renewable energy, such as photovoltaic power and wind
power generation, makes the energy system cleaner, and is of great significance in reducing …
power generation, makes the energy system cleaner, and is of great significance in reducing …
An optimal stochastic energy management system for resilient microgrids
This paper presents a stochastic mixed-integer nonlinear programming model for the
optimal energy management system of unbalanced three-phase of alternating current …
optimal energy management system of unbalanced three-phase of alternating current …
A distributionally robust chance-constrained MILP model for multistage distribution system planning with uncertain renewables and loads
Successful transition to active distribution networks (ADNs) requires a planning
methodology that includes an accurate network model and accounts for the major sources of …
methodology that includes an accurate network model and accounts for the major sources of …
Optimal distributed generation and battery energy storage units integration in distribution systems considering power generation uncertainty
This paper proposes an application of the recent metaheuristic rider optimization algorithm
(ROA) for determining the optimal size and location of renewable energy sources (RES) …
(ROA) for determining the optimal size and location of renewable energy sources (RES) …
Two-stage robust optimization model for park integrated energy system based on dynamic programming
The promotion and construction of park integrated energy system (PIES) has strengthened
the interaction among electric, gas, heating and cooling systems. However, the static …
the interaction among electric, gas, heating and cooling systems. However, the static …
Adaptive robust expansion planning for a distribution network with DERs
Distribution expansion planning (DEP) is used to determine the best expansion plan of a
distribution system. Considering the uncertainties of loads and of power productions of wind …
distribution system. Considering the uncertainties of loads and of power productions of wind …
An innovative two-level model for electric vehicle parking lots in distribution systems with renewable energy
With the rapid growth of electric vehicles (EVs) in distribution systems, a new player, called
EV parking lot operator (EV PLO), is emerging around the world. Furthermore, the …
EV parking lot operator (EV PLO), is emerging around the world. Furthermore, the …
Stochastic planning of integrated energy system via Frank-Copula function and scenario reduction
S Lin, C Liu, Y Shen, F Li, D Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Uncertainty introduces both significant complexity and the high risk of suboptimal investment
decisions into power system planning. Considering the multiple uncertainties of wind and …
decisions into power system planning. Considering the multiple uncertainties of wind and …