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Rule-based control and optimization of a hybrid solar microgrid for rural electrification and heat supply in sub-Saharan Africa

机译:基于规则的撒哈拉以南非洲农村电气化和供热混合太阳能微电网的控制和优化

摘要

This work aims at developing, optimizing and controlling a hybrid solar microgrid for rural electrification and heat supply in sub-Saharan Africa. The considered system includes PV panels, Parabolic Trough Collectors, ORC and LPG generator, as well as battery and thermal energy storage. A special focus is paid to the co-optimization of the thermal and electrical load satisfaction since it can improve the overall energy efficiency of the system. To that end, different sub-component models are developed: - A building model to predict thermal loads of a health clinic in rural communities of Lesotho.- A microgrid model built by interconnecting the subcomponent models.- A rule-based control strategy, dispatching heat and electrical powers of each component to cover the demand while minimizing the fuel consumption.- A particle-swarm optimization of the microgrid under different cost assumptions.For the studied community of Ha Nkau in Lesotho, the determined optimal system infrastructure is composed of PV (66 kW) and batteries (262 kWh), and the optimum control strategy achieves a levelized cost of electricity of 0.203 USD/kWh. Fuel consumption is mainly due to the burner, which supplies most of the thermal load together with CSP (66 m2) and TES (86 kWh).
机译:这项工作旨在开发,优化和控制用于撒哈拉以南非洲农村电气化和供热的混合太阳能微电网。所考虑的系统包括光伏板,抛物槽收集器,ORC和LPG发生器,以及电池和热能存储。由于可以提高系统的整体能源效率,因此特别关注热和电负载满意度的共同优化。为此,开发了不同的子组件模型:-预测莱索托农村社区卫生所热负荷的建筑模型。-通过将子组件模型互连而构建的微电网模型。-基于规则的控制策略,调度满足每个组件的热量和电力需求,同时最大程度地减少燃料消耗。-在不同成本假设下对微电网进行粒子群优化。对于莱索托Ha Nkau的研究社区,确定的最佳系统基础设施由PV组成(66 kW)和电池(262 kWh),最佳控制策略可实现0.203 USD / kWh的平均电力成本。燃料消耗主要归因于燃烧器,该燃烧器与CSP(66 m2)和TES(86 kWh)一起提供大部分热负荷。

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