.png){kind=icon}
Return
Microgrid operation and management using probabilistic reconfiguration and unit commitment
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ijepes.2015.09.012.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
A stochastic model for day-ahead Micro-Grid (MG) management is proposed in this paper. The presented model uses probabilistic reconfiguration and Unit Commitment (UC) simultaneously to achieve the optimal set points of the MG's units besides the MG optimal topology for day-ahead power market. The proposed operation method is employed to maximize MG's benefit considering load demand and wind power generation uncertainty. MG's day-ahead benefit is considered as the Objective Function (OF) and Particle Swarm Optimization (PSO) algorithm is used to solve the problem. For modeling uncertainties, some scenarios are generated according to Monte Carlo Simulation (MCS), and MG optimal operation is analyzed under these scenarios. The case study is a typical 10-bus MG, including Wind Turbine (WT), battery, Micro-Turbines (MTs), vital and non-vital loads. This MG is connected to the upstream network in one bus. Finally, the optimal set points of dispatchable units and best topology of MG are determined by scenario aggregation, and these amounts are proposed for the day-ahead operation. In fact, the proposed model is able to minimize the undesirable impact of uncertainties on MG's benefit by creating different scenarios. (C) 2015 Elsevier Ltd. All rights reserved.
Keywords:
Reconfiguration
Unit commitment
Micro-grid
Uncertainty
Wind power generation
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
I
IF:
5
Papers:
1.1W
Citations:
3.1W
Organization
Cited Papers
ShareSavePerformance Comparison of Proportional-Integral and Fuzzy-PI for a Droop Control of DC Microgrid
OAAI
OAAIShareSaveShareSaveToxicological and behavioral responses as a tool to assess the effects of natural and synthetic dyes on zebrafish early life.png)
Chemosphere
ChemosphereIF0
PREAI
ShareSaveShareSaveShareSaveShareSaveShareSave
View more