使用模型预测控制的离网太阳能-光伏-电池系统并网后的集成:肯尼亚案例研究

Fhazhil Wamalwa, Nathaniel J. Williams
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引用次数: 0

摘要

由于撒哈拉以南非洲许多国家的电网接入率较低,许多有支付能力的家庭依靠离网独立系统供电。然而,考虑到目前许多非洲国家没有针对小型微型发电的电网接入政策,电网进入以前由这些离网系统服务的家庭带来了技术整合方面的挑战。由于缺乏部署微电网控制系统的统一行业实践标准,导致分布式发电资产的使用不理想,这使问题进一步复杂化。本文将模型预测控制(MPC)算法应用于无电网接入选项的并网太阳能光伏电池微电网的调度问题。将提出的模型应用于肯尼亚的一个案例研究,并将其性能与目前在案例研究现场实施的切换控制策略进行比较,以测试MPC的经济收益。我们发现,实现MPC算法所需的投资回收期约为7年。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integration of an off-grid solar-PV-battery system after grid connection using model predictive control: A case study in Kenya
Due to low rates of grid access in many countries in Sub Sahara Africa (SSA), many households with the ability to pay rely on off-grid stand-alone systems for their electricity supply. However, the arrival of the grid in households previously served by these off-grid systems comes with technical integration challenges considering that currently many African countries do not have grid-feed-in policies for small micro-generation. The problem is further complicated by a lack of unified industry standards of practice for deployment of microgrid control systems, leading to suboptimal use of distributed generation assets. In this paper, model predictive control (MPC) algorithm is employed to solve the dispatch problem of a grid connected solar PV-Battery microgrid without grid feed in option. The proposed model is applied to a case study in Kenya and its performance compared with the switched control strategy currently implemented at the case study site to test the economic gains of the MPC. We find that the investment required to implement the MPC algorithm has a payback period of about 7 years.
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