Optimal Sizing of Micro Hydropower to Improve Hybrid Renewable Power System

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI:10.23919/EECSI50503.2020.9251911

Syafii, H. D. Laksono, Novizon, R. Fahreza

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引用次数: 2

Abstract

This paper presents an analysis of optimal micro hydropower (MH) capacity of hybrid systems to improve renewable energy based power systems. The electricity system was designed by considering river water flow data and solar radiation data at the research location of Universitas Andalas (Unand). Optimal results obtained for the configuration of the Grid, MH, and photovoltaic (PV) with a head height of 30 m and a flow rate of 800 L/s with the lowest Cost of Energy (CoE) value of $ 0.065. As an optimal sizing system has been able to increase the composition of renewable energy generation in the Unand electrical network. The renewable energy fraction has increased from 26.4% to 36.5%. Therefore, determining the optimal capacity will increase the use of renewable energy generation. Conversely, an increase in electricity supply from renewable energy plants will reduce electricity consumption from the State Electricity Company (Perusahaan Listrik Negara, PLN) grid. The latest excess power generation at a low load can be sold to the PLN grid.

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微水电优化规模优化可再生能源混合发电系统

本文分析了混合发电系统的最优微水电容量，以改进可再生能源发电系统。电力系统的设计考虑了Andalas大学(Unand)研究地点的河水流量数据和太阳辐射数据。以水头高度为30 m、流量为800 L/s、最低能源成本(CoE)值为0.065美元的电网、MH和光伏(PV)配置为最优结果。作为一个最佳的规模系统已经能够增加可再生能源发电在Unand电网的组成。可再生能源比例从26.4%增加到36.5%。因此，确定最佳容量将增加可再生能源发电的使用。相反，可再生能源发电厂电力供应的增加将减少国家电力公司(Perusahaan Listrik Negara, PLN)电网的用电量。最新的低负荷过剩发电量可以出售给PLN电网。

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2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)

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