Heuristic algorithm for minimizing the electricity cost of air conditioners on a smart grid

Arikiez, Mohamed; Grasso, Floriana; Kowalski, Dariusz R.; Zito, Michele

doi:10.1109/energycon.2016.7513915

Cited by 5 publications

(1 citation statement)

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“…To serve the time-varying loads, most of the previous work applies the optimization techniques to control or schedule the renewable generated power, which are timeconsuming and need prediction information [1], [11]. Some previous work using heuristic algorithm to solve this problem mostly focuses on a single perspective, such as, operation cost reduction [12]. In this work, we propose a heuristic loadadaptive power smoothing algorithm to adaptively change the power output level to meet the time-varying loads by jointly considering the actual load demands, the current renewable generation, the state of charge (SOC) of energy storage, and the electricity price.…”

Section: Introductionmentioning

confidence: 99%

Leaky bucket-inspired power output smoothing with load-adaptive algorithm

Chen

Leung

Lam

2017

2017 IEEE International Conference on Communications (ICC)

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The renewables will constitute an important part of the future smart grid. As a result, the growing portion of renewable generation in the power grid will bring challenges to the operations of the power grid because of the fluctuation and intermittency properties of renewables. In order to make the operations of power grid stable and reliable, the power outputs from renewable energy sources must be smoothed. In this paper, we propose a scheme inspired from the idea of the leaky bucket mechanism for smoothing the power output from a renewable energy system. In our proposed method, the settings of energy storage size and power output level have significant effects on the system performance and thus needs to be determined. An optimization framework is thus proposed for storage and power output planning of the renewable energy system. To operate our proposed scheme practically, a load-adaptive power smoothing algorithm is devised aiming to match the power output level with the actual load in the grid. Our simulation studies show that the proposed algorithm can reduce the operation cost comparing to other algorithms and maintain high renewable energy utilization.

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Section: Introductionmentioning

confidence: 99%