High Frequency Amplifiers

Friis, H.T.; Jensen, Angela

doi:10.1002/j.1538-7305.1924.tb01354.x

Cited by 7 publications

(3 citation statements)

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“…The start‐up cost of gas turbine units is defined as [26]:

C_{s t a r t} = \sum_{i = 1}^{m} C_{g t_s t a r t}^{i}

where m is the number of gas turbine units in the VPP.

C_{g t_s t a r t}^{i}

is the start‐up cost of gas turbine i , and defined in (1).…”

Section: Receding‐horizon Based Optimal Dispatch Modelmentioning

confidence: 99%

“…The operation costs of gas turbine units are defined as [26]:

C_{o p} = \sum_{i = 1}^{m} C_{g s} P_{g t}^{i} (k)

where C gs is the fixed operation cost, and

P_{g t}^{i}

is the power output of gas turbine unit i . The generation costs of gas turbine units depend on the fuel consumption, and the fuel‐based costs are defined as [27]:

C_{f u e l} = \sum_{i = 1}^{m} C_{g a s} P_{g t}^{i} (k) / η_{e i}

where C gas is the fixed gas price; η ei is the electrical efficiency of gas turbine unit i .…”

Section: Receding‐horizon Based Optimal Dispatch Modelmentioning

confidence: 99%

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Receding‐horizon based optimal dispatch of virtual power plant considering stochastic dynamic of photovoltaic generation

Liu

Wen

et al. 2021

Energy Conversion and Econom

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The merits of a virtual power plant in integrating photovoltaic generation and flexible loads, such as a chilled water thermal storage air conditioning system and an electric vehicle, are well recognized. However, the optimal operation of a virtual power plant is challenged by the complexities of solar irradiance and the large size of a chilled water thermal storage air conditioning system and an electric vehicle. This paper proposes a new approach to the optimal dispatch problem of a virtual power plant. The stochastic dynamic of solar irradiance is modelled by a stochastic differential equation set. The binary decision for a chilled water thermal storage air conditioning system and an electric vehicle are characterized by a mixed logical dynamical model. The resulting optimal dispatch problem is solved by the receding horizon approach. The appeal of the proposed approach is in its capability to consider the stochastically dynamical impact of solar irradiance. Besides, the proposed approach can solve the optimization problem over a relatively small period of time, and thus has the potential for online applications. Finally, the feasibility and effectiveness of the proposed approach is demonstrated by numerical simulations.

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“…The start‐up cost of gas turbine units is defined as [26]:

C_{s t a r t} = \sum_{i = 1}^{m} C_{g t_s t a r t}^{i}

where m is the number of gas turbine units in the VPP.

C_{g t_s t a r t}^{i}

is the start‐up cost of gas turbine i , and defined in (1).…”

Section: Receding‐horizon Based Optimal Dispatch Modelmentioning

confidence: 99%

“…The operation costs of gas turbine units are defined as [26]:

C_{o p} = \sum_{i = 1}^{m} C_{g s} P_{g t}^{i} (k)

where C gs is the fixed operation cost, and

P_{g t}^{i}

is the power output of gas turbine unit i . The generation costs of gas turbine units depend on the fuel consumption, and the fuel‐based costs are defined as [27]:

C_{f u e l} = \sum_{i = 1}^{m} C_{g a s} P_{g t}^{i} (k) / η_{e i}

where C gas is the fixed gas price; η ei is the electrical efficiency of gas turbine unit i .…”

Section: Receding‐horizon Based Optimal Dispatch Modelmentioning

confidence: 99%

Receding‐horizon based optimal dispatch of virtual power plant considering stochastic dynamic of photovoltaic generation

Liu

Wen

et al. 2021

Energy Conversion and Econom

View full text Add to dashboard Cite

show abstract

“…[11] Friis & Jensen (1924) described regeneration in a set of electronic amplifiers as a case where the "feed-back" action is positive in contrast to negative feed-back action, which they mention only in passing. [12] Harold Stephen Black's classic 1934 paper first details the use of negative feedback in electronic amplifiers. According to Black:…”

Section: Terminologymentioning

confidence: 99%