Rule-based Control Strategy for a River-based Grid-connected Hydrokinetic System

S. P. Koko, K. Kusakana, H. Vermaak
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Abstract

This paper presents an optimal control algorithm for improving the reliability of a river-based grid-interactive hydrokinetic system. The aim is to guarantee a reliable system operation during load demand uncertainties. The proposed system consists of a micro-hydrokinetic pumped-hydro storage (MHK-PHS) system, modelled to supply electricity to a commercial load profile. The open-loop optimization-based approach resulted in an unmet load demand and excessive energy supply, due to load demand uncertainty. Hence, a rule-based control algorithm is presented to ensure that the load demand is reliably met at all times. Thus, the results prove that the developed rule-based control algorithm, allowed the commercial load demand to be reliably met by solving both the unmet load demand and excessive energy supply challenges.
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基于规则的河流并网水动力系统控制策略
本文提出了一种优化控制算法,以提高河基网格-交互水动力系统的可靠性。其目的是在负荷需求不确定的情况下保证系统的可靠运行。拟议的系统包括一个微流体动力抽水蓄能(MHK-PHS)系统,模拟为商业负荷提供电力。基于开环优化的方法由于负荷需求的不确定性,导致负荷需求未得到满足,能源供应过剩。为此,提出了一种基于规则的控制算法,以保证在任何时候都能可靠地满足负荷需求。结果表明,本文提出的基于规则的控制算法既解决了未满足的负荷需求,又解决了能源供应过剩的挑战,能够可靠地满足商业负荷需求。
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