.png){kind=icon}
Return
Two-Layer Optimal Scheduling Model of Microgrid Considering Demand Response Based on Improved Nutcracker Optimization Algorithm
.png){kind=icon}
OA
AI
DOI：10.3390/pr13020585.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
To comprehensively address the interests of both the supply and demand sides within a microgrid, a two-layer optimal scheduling model incorporating demand response was formulated. The upper tier aims to optimize the load profile, focusing on maximizing electricity consumption satisfaction and minimizing user electricity costs. Meanwhile, the lower tier targets the optimization of output from each controllable generation unit, with the goal of reducing operational costs. Given the nonlinear and multi-constrained nature of this model, an improved nutcracker optimization algorithm (INOA) is proposed. This enhancement introduces chaotic sequences into the original nutcracker optimization algorithm (NOA) for population initialization, employs a hybrid butterfly optimization algorithm to enhance the algorithm's local search capabilities, and integrates dynamic selection adaptive T-distribution for updating individual positions. The solution tests involving INOA, NOA, dung beetle optimizer (DOB), particle swarm optimization (PSO), grey wolf optimization (GWO), and sparrow search algorithm (SSA) were conducted using the CEC2022 intelligent algorithm test suite. Analysis reveals that INOA exhibits superior comprehensive optimization performance compared to other algorithms, validating the effectiveness of the improvements introduced in this paper. Ultimately, a simulation analysis of the microgrid was performed, demonstrating that, despite a 3.58% reduction in user satisfaction, participation in demand response led to a 25.16% decrease in electricity costs and a 5.92% reduction in microgrid operational costs. These findings substantiate the model's capability to effectively balance the economic interests of both the supply and demand sides within the microgrid.
Keywords:
microgrid
demand side response
optimal dispatch strategy
nutcracker optimization algorithm (NOA)
Journal
IF:
2.8
Papers:
7.3K
Citations:
3.7W
Organization
Cited Papers
ShareSaveCo-Optimization Strategy of Island Distribution Grid and Time-of-Use Pricing Considering the Time Response Characteristics of Multiple Interruptible Loads.png)
IEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAIShareSaveShareSaveOptimal energy scheduling of grid-connected microgrids with demand side response considering uncertaintyAPPLIED ENERGY
APPLIED ENERGYIF11
PREAI
ShareSaveShareSaveShareSaveScheduling and Sizing of Campus Microgrid Considering Demand Response and Economic AnalysisSENSORS
OAAI
SENSORSIF3.5
OAAIShareSaveShareSave
View more