Standalone Solar Power Generation with Dynamic Error-driven PI-based Energy Management System for Rural Electrification in Malaysia

Changhong Weng, Yip Sook Yee, W. Muzammil, M. Ismail
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Abstract

This paper presents a standalone solar power generation with energy storage management developed for an Eco-tourism centre in Sabah. The site is isolated and located far away from the power grid, and hence, it motivates the development of an onsite solar power generation for sustainable and efficient power usage. A perturbed and observed maximum power point tracker is deployed to ensure the solar system always generates the maximum power with solar irradiance. It is integrated with energy storage to preserve the continuity of power supply to the tourists, which is controlled by the energy management system. The power flow of the entire system is managed by regulating the charging and discharging process of the battery. The performance of the proposed system is verified using MATLAB Simulink with the load demand and solar irradiance profile collected from the site. The results show that the proposed system can balance power generation and utilization by alleviating the mismatch between solar power and the load demand for all the case studies. Besides, the EMS prolongs the battery lifespan by preventing it from over-charging and over-discharging, regulating its state of charge within the maximum and minimum state of charge at 10% and 90%, respectively. With the system's deployment, approximately 0.89 tonnes of carbon dioxide can be reduced annually. A preliminary economic analysis shows that the payback period is 12 years which guarantees the secure investment for the onsite green energy generation system.
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独立太阳能发电与动态误差驱动的基于pi的能源管理系统在马来西亚农村电气化
本文介绍了为沙巴生态旅游中心开发的具有储能管理的独立太阳能发电系统。该基地是孤立的,远离电网,因此,它激发了现场太阳能发电的发展,以实现可持续和高效的电力使用。采用扰动观测最大功率点跟踪器,保证了系统总能在太阳辐照度下产生最大功率。它与储能相结合,以保持对游客供电的连续性,并由能源管理系统控制。整个系统的功率流是通过调节电池的充放电过程来管理的。利用MATLAB Simulink对系统的性能进行了验证,并结合现场采集的负荷需求和太阳辐照度分布进行了验证。结果表明,该系统通过缓解太阳能发电与负荷需求之间的不匹配,实现了发电和利用的平衡。EMS通过防止电池过充过放,将电池的充电状态控制在最大充电状态的10%和最小充电状态的90%以内,延长了电池的使用寿命。通过该系统的部署,每年可减少约0.89吨二氧化碳。初步的经济分析表明,投资回收期为12年,保证了现场绿色发电系统的安全投资。
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