Cost-effective and sustainable operation of microgrids using
To address this, the proposed EMS employs an Improved Whale Optimization Algorithm (IWOA), incorporating a nonlinear swimming parameter and Lévy flight mechanism to prevent
(PDF) Improved Whale Optimization Algorithm for Solving Microgrid
Yixing et al. [33] proposed an improved whale optimization algorithm (IWOA) with an adaptive weight strategy and a Levy flight trajectory based on the original whale optimization
Optimizing Energy Storage Capacity Allocation for Microgrid
In response to the adverse impact of uncertainty in wind and photovoltaic energy output on microgrid operations, this paper introduces an Enhanced Whale Optimization Algorithm(EWOA)
Whale Optimization Algorithm for Community Microgrid Energy
A microgrid is a local electricity network that supplies electrical energy to the local community from various distributed generation (DG) systems. It can be operated independently or in
The optimal scheduling of microgrid: A research based on a novel whale
In this paper, we use the modified whale algorithm to solve the microgrid optimization problem. First, we set the economic cost and environmental cost as two modeling objectives.
Optimized Control of Hybrid Energy Storage Systems Using Whale
This study introduces a Whale Optimization Algorithm (WOA)-based frequency-based method (FBM) for hybrid energy storage systems (HESS), reducing battery life loss and voltage
Open Access proceedings Journal of Physics: Conference series
In order to realize the optimal operation of the grid-connected microgrid, a multi-objective optimal operation model with economical and environmental friendliness is established. Secondly, an
A Multi-Strategy Enhanced Whale Optimization Algorithm for
A Multi-Strategy Enhanced Whale Optimization Algorithm for Long Short-Term Memory—Application to Short-Term Power Load Forecasting for Microgrid Buildings Lili Qu,
A bi-layer optimization method of the grid-connected microgrid
Subsequently, to rectify the intrinsic limitations of the conventional beluga whale optimization (BWO) algorithm, this paper proposes a multi-strategy hybrid improvement to BWO
Cost-effective and sustainable operation of microgrids using
The inherent variability of renewable generation and fluctuating grid prices pose significant challenges to maintaining supply-demand balance. To address this, the proposed EMS employs an Improved
4 Frequently Asked Questions about "Whale Optimization Algorithm Microgrid Optimization"
Can enhanced whale optimization algorithm improve energy storage capacity configuration of microgrids?
In response to the adverse impact of uncertainty in wind and photovoltaic energy output on microgrid operations, this paper introduces an Enhanced Whale Optimization Algorithm (EWOA) to optimize the energy storage capacity configuration of microgrids. The objective is to ensure stable microgrid operation and enhance system economy.
Can whale optimization algorithm reduce battery life loss in hybrid energy storage systems?
This study introduces a Whale Optimization Algorithm (WOA)-based frequency-based method (FBM) for hybrid energy storage systems (HESS), reducing battery life loss and voltage fluctuations. The propos...
Can whale optimization improve Hess operation?
This article proposes an optimized FBM control approach using the whale optimization algorithm (WOA) to improve HESS operation. The method optimizes two key variables: current sharing coefficients and the smoothing constant, enabling continuous HESS functionality.
Can a grey wolf optimization algorithm improve energy storage capacity?
In recent years, a considerable number of research works have been dedicated to the optimization of energy storage for microgrids. Reference used an improved grey wolf optimization algorithm to optimize energy storage capacity, which effectively improved the wind and light abandonment phenomenon.
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