.png){kind=icon}
返回
Genetic-Algorithm-Based Optimization Approach for Energy Management
.png){kind=icon}
PRE
AI
DOI：10.1109/TPWRD.2012.2219598.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper proposes a new strategy to meet the controllable heating, ventilation, and air conditioning (HVAC) load with a hybrid-renewable generation and energy storage system. Historical hourly wind speed, solar irradiance, and load data are used to stochastically model the wind generation, photovoltaic generation, and load. Using fuzzy C-Means (FCM) clustering, these data are grouped into 10 clusters of days with similar data points to account for seasonal variations. In order to minimize cost and increase efficiency, we use a GA-based optimization approach together with a two-point estimate method. Minimizing the cost function guarantees minimum PV and wind generation installation as well as storage capacity selection to supply the HVAC load. Different scenarios are examined to evaluate the efficiency of the system with different percentages of load shifting. The maximum capacity of the storage system and excess energy are calculated as the most important indices for energy efficiency assessment. The cumulative distribution functions of these indices are plotted and compared. A smart-grid strategy is developed for matching renewable energy generation (solar and wind) with the HVAC load.
Keyword:
Energy efficiency
genetic-algorithm (GA)-based optimization approach
HVAC load
probabilistic modeling
smart-grid strategy
two-point estimate method
期刊
IF:
3.7
论文数:
9.1K
被引数:
2.2W
机构
引用论文
Distribution System Planning With Incorporating DG Reactive Capability and System Uncertainties结合DG无功能力和系统不确定性的配电系统规划
PREAI
分享收藏Optimal configuration of power generating systems in isolated island with renewable energy可再生能源孤岛发电系统的优化配置.png)
RENEWABLE ENERGY
RENEWABLE ENERGYIF9.1
PREAI
分享收藏Operating Policy and Optimal Sizing of a High Penetration RES-BESS System for Small Isolated Grids小型孤立电网的高渗透res-bess系统的运行策略和最佳尺寸
PREAI
分享收藏分享收藏
查看更多内容