.png){kind=icon}
返回
Economic Optimization Scheduling Based on Load Demand in Microgrids Considering Source Network Load Storage
.png){kind=icon}
OA
AI
DOI：10.3390/electronics12122721.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
As a large number of flexible elements such as distributed power and flexible load are connected to microgrids, the economic improvement of microgrids has become an important topic through rational energy distribution. In this paper, an economic scheduling model considering the load demand for a microgrid system under the mechanism of a peak-valley tariff is proposed. A mathematical model of the microgrid components is proposed to determine the exchange power between the microgrid and main network. Meanwhile, an improved War Strategy Optimization (WSO) algorithm is proposed to investigate three scenarios: (i) without batteries, (ii) with batteries and (iii) with batteries and demand response. Additionally, demand response optimization is carried out with the Particle Swarm Optimization (PSO) algorithm and the improved WSO is compared with four other algorithms in scenario (iii). The comparison shows that the improved WSO algorithm has a better optimization performance in solving the proposed scheduling model.
Keyword:
microgrid
demand response
optimal scheduling
improved WSO
期刊
IF:
2.6
论文数:
9.9K
被引数:
4.7W
机构
引用论文
Stochastic Optimization of Economic Dispatch for Microgrid Based on Approximate Dynamic Programming基于近似动态规划的微电网经济调度随机优化
OAAI
OAAI分享收藏Optimal design of a university campus micro-grid operating under unreliable grid considering PV and battery storage考虑光伏和电池储能的不可靠电网运行的大学校园微电网优化设计.png)
ENERGY
ENERGYIF9.4
PREAI
分享收藏Distributed real-time demand response based on Lagrangian multiplier optimal selection approachAPPLIED ENERGY
APPLIED ENERGYIF11
PREAI
分享收藏Optimal Planning of Nuclear-Renewable Micro-Hybrid Energy System by Particle Swarm OptimizationIEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAI分享收藏
查看更多内容