首页> 外文期刊>Quality Control, Transactions >Reliability Support of Undependable Grid Using Green Energy Systems: Economic Study
【24h】

Reliability Support of Undependable Grid Using Green Energy Systems: Economic Study

机译:使用绿色能源系统的不可依赖性网格的可靠性支持:经济研究

获取原文
获取原文并翻译 | 示例
       

摘要

Developing countries’ energy sector faces a multitude of challenges, ranging from inadequate generation to unstable grids. Power outages are among the most common issues, particularly in remote areas. Utilizing grid-tied green energy resources to address this issue and to cover for power outages from local grids. This article presents a cost-effective design of a grid-tied, hybrid green energy system (GES) consisting of wind, PV, and batteries considering the influence of the grid availability. A multi-objective, optimal techno-economic design, optimized by multi-objective particle swarm optimization technique is presented for the grid-tied GES linked to a small hamlet in the north of Egypt. The multi-objective function introduced in this work includes three objective functions which are, the Loss of Power Supply Probability (LPSP), the Cost of Energy (COE), and the System Surplus Energy Rates (SSER) considering the grid availability. The grid availability (GA) of 100% was considered as a base case and it was reduced to 70% with a step of 5%. The simulation consequences had cleared that the lowest and largest percentage values of SSER were obtained at GA of 85 %, and 70 %, respectively. When the value of SSER equal to 0.33%, the system design for solving the grid unavailability consists of 12 PVs, one WT, and 1420 batteries with COE of 0.145$/kWh and TNPC of 3,699,800 ($).
机译:发展中国家的能源部门面临着多种挑战,从不足的网格中的发电不足。停电是最常见的问题之一,特别是在偏远地区。利用网格与绿色能源资源解决此问题,并涵盖来自当地网格的停电。本文介绍了由Wind,PV和电池组成的网格连接,混合绿色能源系统(GES)的成本效益设计,考虑到电网可用性的影响。通过多目标粒子群优化技术优化的多目标,最佳的技术经济设计,用于与埃及北部的小村庄相关的网格绑定GES。本工作中引入的多目标函数包括三个客观功能,即考虑网格可用性的电源概率(LPSP),能量成本(COE)和系统剩余能量率(SSER)的丢失。 100%的网格可用性(GA)被认为是基本情况,降至70%,步长5%。模拟后果清楚地清除了SSER的最低和最大百分比值分别在85%和70%的GA下获得。当SSER的值等于0.33%时,用于解决网格不可用的系统设计由12个PVS,一个WT和1420个电池组成,COE为0.145 $ / kWh和TNPC为3,699,800($)。

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