Stochastic Energy Scheduling in Microgrids With Intermittent Renewable Energy Resources
By Wencong Su, Jianhui Wang, Jae Hyung Roh. IEEE Transactions on Smart Grid, 2014
697 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/d1f7edafa7c5f7cb294b9c4eafc08bb03294470f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Zhaoyu Wang
- Bokan Chen
- Jianhui Wang
- Oliver Sawodny
- Julia Sachs
- David Flynn
- Hongbin Sun
- Benoit Couraud
In Electrical and Electronic Engineering
- Zhaoyu Wang
- Bokan Chen
- Jianhui Wang
- Oliver Sawodny
- Julia Sachs
- David Flynn
- Hongbin Sun
- Benoit Couraud
Citations in the corpus
- Stochastic Optimization of Renewable-Based Microgrid Operation Incorporating Battery Operating Cost (2016, background): “Most previous studies assume the energy storage system to be modeled with a constant efficiency and zero operating cost [4]–[16].”
- Decentralized Energy Management System for Networked Microgrids in Grid-Connected and Islanded Modes (2016, background): “[7] proposed a stochastic energy scheduling model for an MG with intermittent RESs and plug-in electric vehicles so as to minimize the operation costs and power losses.”
- Networked Microgrids for Self-Healing Power Systems (2016, background): “Many studies have been made in the literature on various topics of MGs, such as planning [10], [11], energy management [1], [2], [4], [12]–[14], and service restoration [3], [15].”
- Comprehensive review of renewable energy curtailment and avoidance: A specific example in China (2015, background): “A stochastic microgrid energy scheduling model is proposed for accommodating the intermittent nature of renewable energy resources [67].”
- Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review (2020, background): “Providing frequency control becomes more challenging due to the higher penetration of intermittent renewable energy sources in the power generation mix, resulting in lower inertia in the system [38,39], and the introduction of new types of loads with higher variability (e.”
- Bidding Strategy for Microgrid in Day-Ahead Market Based on Hybrid Stochastic/Robust Optimization (2016, background): “The degradation cost of battery is estimated as a linear function of the battery charging/ discharging power [36].”
- A Two-Stage Model Predictive Control Strategy for Economic Diesel-PV-Battery Island Microgrid Operation in Rural Areas (2016, methodology): “Other recently implemented methods for the direct integration of uncertainties in the optimization problem are stochastic optimization strategies [8], [25]–[30] and stochastic model predictive control [31]–[33] of which only a few approaches are applied for the optimal operation of microgrids.”
- Storage-like devices in load leveling: Complementarity constraints and a new and exact relaxation method (2015, background): “Actually, with a large number of distributed storage-like devices (SLDs) being integrated into distribution grids in smart grids [5,6,15–17], utilizing SLDs in power grids has become a hot research topic in the applied-energy fields.”