首页> 外文会议>International Conference on Artificial Intelligence and Mechatronics Systems >Minimizing the Losses and Cost of a Radial Network Connected to DG, PV and Batteries using Firefly Algorithm in Al-Bayda city, Libya
【24h】

Minimizing the Losses and Cost of a Radial Network Connected to DG, PV and Batteries using Firefly Algorithm in Al-Bayda city, Libya

机译:最小化在利比亚al-Bayda城市使用萤火虫算法连接到DG,PV和电池的径向网络的损失和成本

获取原文

摘要

Renewable energy resources were getting the attention in the electricity research fields, many countries invested in the renewable energy to replace the existing generation systems which depends on the fossil fuels resources. This could provide cheap, affordable and clean energy by decreasing the level of CO2 emissions. This research presented a real case study in AL-Bayda city, Libya, focused in decreasing the burden from the main medium voltage electricity network came from Benghazi city as this source could not satisfy the total load in Al-Bayda city, that's why the electricity occasionally died during the week especially in the residential loads. Injecting a photovoltaic (PV) system with batteries beside a diesel generator (DG) is the solution for this research by choosing the optimum operation, the optimum size of the DG and defined the best bus location which could provide the minimum losses and costs using the Firefly Algorithm (FA). Considering the MPPT to get the maximum output power which we could get from the PV system. Forward-backward method used to do the power flow calculation for this radial network which consisted of 71 busses. Collares-Pereira and Rabel statistical method used before by researchers to calculate the hourly solar radiation, and will be implemented it in this research as the provided data is the daily solar radiation. The optimum values of the injected PV, DG and Batteries were 2.0, 2.5 and 0.6 Megawatt respectively.
机译:可再生能源资源在电力研究领域引起关注,许多国家投资可再生能源来取代现有的一代人,这取决于化石燃料资源。这可以通过降低CO水平来提供便宜,实惠和清洁能源 2 排放。这项研究介绍了在利比亚al-Bayda市的实际案例研究,专注于降低主要中电力网络的负担来自班加西市,因为这个来源无法满足Al-Bayda城市的总负荷,这就是为什么电力偶尔在本周死亡,特别是在住宅负荷。使用柴油发电机(DG)旁边的电池注入光伏(PV)系统是通过选择最佳操作,DG的最佳尺寸和定义了最佳总线位置的解决方案,并使用该研究确定了最佳总线位置萤火虫算法(FA)。考虑MPPT以获得我们可以从光伏系统获取的最大输出功率。用于对该径向网络进行电流计算的前后反向方法,该径向网络由71个总线组成。研究人员以前使用的衣领-Pereira和Rabel统计方法计算每小时的太阳辐射,并将在本研究中实施,因为提供的数据是日常太阳辐射。注入的PV,DG和电池的最佳值分别为2.0,2.5和0.6兆瓦。

著录项

相似文献

  • 外文文献
  • 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