首页> 外文期刊>Research journal of applied science, engineering and technology >Optimal DG Source Allocation for Grid Connected Distributed Generation with Energy Storage System
【24h】

Optimal DG Source Allocation for Grid Connected Distributed Generation with Energy Storage System

机译:储能并网分布式发电的最佳DG源分配

获取原文
           

摘要

This study proposes an Energy Management System (EMS) for allocation of DG source in a grid connected hybrid power system. Modeling and simulation for EMS is implemented using MATLAB/SIMULINK package. The objective of proposed EMS for micro grid is to optimize the fuel cost, improving the energy utilization efficiency and to manage the peak load demand by scheduling the generation according to the availability of the fuel. The proposed intelligent energy management system is designed to optimize the availability of energy to the load according to the level of priority and to manage the power flow. The developed management system performance was assessed using a hybrid system having PV panels, Wind Turbine (WT), battery and biomass gasifier. Real time field test has been conducted and the parameters i.e., solar irradiance, temperature, wind speed are gathered from 4.05 KW off grid and 2.0 KW On grid Solar Photovoltaic systems (SPV) system and wind turbine. The dynamic behavior of the proposed model is examined under different operating conditions. The simulation results of proposed EMS using fuzzy logic expert system shows the minimization on the operating cost and emission level of micro grid by optimal scheduling of power generation and maintains the State of Charge (SOC) of batteries in desired value which improves the battery life. The proposed multi objective intelligent energy management system aims to minimize the operational cost and the environmental impact of a micro grid.
机译:这项研究提出了一种能源管理系统(EMS),用于在并网混合动力系统中分配DG源。 EMS的建模和仿真是使用MATLAB / SIMULINK软件包实现的。提议的用于微电网的EMS的目的是通过根据燃料的可用性安排发电量,从而优化燃料成本,提高能源利用效率并管理峰值负荷需求。提出的智能能源管理系统旨在根据优先级优化负载的能源可用性,并管理潮流。使用具有光伏面板,风力涡轮机(WT),电池和生物质气化炉的混合系统评估了开发的管理系统的性能。已经进行了实时现场测试,并且从离网4.05 KW和离网2.0 KW的太阳能光伏系统(SPV)和风力涡轮机收集了参数,即太阳辐照度,温度,风速。在不同的操作条件下检查了所提出模型的动态行为。利用模糊逻辑专家系统对拟议的EMS进行仿真,结果表明,通过优化发电计划,可将微电网的运营成本和排放水平降到最低,并将电池的荷电状态(SOC)保持在期望值,从而延长了电池寿命。提出的多目标智能能源管理系统旨在最小化微电网的运营成本和环境影响。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号