Geometrical insights into proportional derivative control of synchronous buck converters with constant power loads

Whaite, Stephen M.; Kwasinski, Alexis

doi:10.1109/compel.2016.7556675

Cited by 1 publication

(7 citation statements)

References 9 publications

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“…Therefore, the overall optimization problem for storage and power output planning is given as: Solving (13) gives the optimal B and C for storage and power output planning. Due to (7), (8), and (9), the problem is nonconvex and cannot be solved easily.…”

Section: B Storage and Power Output Planning Problemmentioning

confidence: 99%

“…In fact, 14 Compared with (7), (8), and (9), the above four cases correspond to the states of the energy storage (i) undercharging; (ii) over-charging; (iii) under-discharging; and (iv) over-discharging, respectively. We can conclude from (3) and (6) that f cannot be reduced by adopting (i) and (iv) since (i) and (iv) only result in a smaller S(t) without reducing C g .…”

Section: Problem Relaxationmentioning

confidence: 99%

“…When the SOC is above S th and the current renewable generated power is high, the curtailment vanishes so that the algorithm can maintain high renewable generation utilization. Steps 4-5 implement the power output smoothing scheme as (7) and (8) to determine the P c (t) and P d (t), where C is replaced by C(t):…”

Section: Load-adaptive Power Smoothing Algorithmmentioning

confidence: 99%

“…S3 takes electricity price into account and aims to reduce the operation cost compared to S2. In S4, given C, P c (t) and P d (t) are computed with 7and (8). C is set as eight, which equals the mean of D(t).…”

Section: B Scenarios For Comparisonmentioning

confidence: 99%

“…Suppose that a renewable source is attached with storage constituting a renewable energy system. Some power distribution architectures, such as [8], require a constant power supply. With our scheme, the renewable energy system can be controlled as a constant power source to serve the grid at a pre-defined power output level and it is suitable for critical loads, which requires smooth power supply for operation.…”

Section: Introductionmentioning

confidence: 99%

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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: B Storage and Power Output Planning Problemmentioning

confidence: 99%

Section: Problem Relaxationmentioning

confidence: 99%

Section: Load-adaptive Power Smoothing Algorithmmentioning

confidence: 99%

Section: B Scenarios For Comparisonmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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