A Review on Usage of Optimization Methods in Geothermal Power Generation

Özkaraca, Osman

doi:10.22531/muglajsci.437340

Cited by 10 publications

(3 citation statements)

References 25 publications

(27 reference statements)

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“…In the past, a variety of methods for power system optimization were published. According to [35,36], optimization algorithms are generally be deterministic or heuristic. Deterministic algorithms for optimizations in power systems use the laws of physics and the equations that govern the power system to determine the optimal power flow solution.…”

Section: Optimization Tool: Interface Between Pandapower and Powermodelsmentioning

confidence: 99%

Time Series Optimization-Based Characteristic Curve Calculation for Local Reactive Power Control Using Pandapower-PowerModels Interface

Liu,

Majidi,

Wang

et al. 2023

Energies

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Local reactive power control in distribution grids with a high penetration of distributed energy resources (DERs) will be essential in future power system operation. Appropriate control characteristic curves for DERs support stable and efficient distribution grid operation. However, the current practice is to configure local controllers collectively with constant characteristic curves that may not be efficient for volatile grid conditions or the desired targets of grid operators. To address this issue, this paper proposes a time series optimization-based method to calculate control parameters, which enables each DER to be independently controlled by an exclusive characteristic curve for optimizing its reactive power provision. To realize time series reactive power optimizations, the open-source tools pandapower and PowerModels are interconnected functionally. Based on the optimization results, Q(V)- and Q(P)-characteristic curves can be individually calculated using linear decision tree regression to support voltage stability, provide reactive power flexibility and potentially reduce grid losses and component loadings. In this paper, the newly calculated characteristic curves are applied in two representative case studies, and the results demonstrate that the proposed method outperforms the reference methods suggested by grid codes.

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Section: Optimization Tool: Interface Between Pandapower and Powermodelsmentioning

confidence: 99%

Time Series Optimization-Based Characteristic Curve Calculation for Local Reactive Power Control Using Pandapower-PowerModels Interface

Liu,

Majidi,

Wang

et al. 2023

Energies

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“…There are different approaches in literature to optimize electromagnetic actuators. In general, they can be divided into deterministic and metaheuristic algorithms as discussed in [1]. Considering the computational effort of stochastic methods as demonstrated in [2], we are focused on a gradient based optimization method.…”

Section: Introductionmentioning

confidence: 99%

A pseudo density topology optimization approach in nonlinear electromagnetism applied to a 3D actuator

Seebacher¹,

Wein

Lehmann

2021

JAE

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A pseudo density topology optimization approach is introduced in nonlinear electromagnetism, which follows the SIMP (Solid Isotropic Material with Penalization) method. The adjoint approach is used to arrive at the sensitivity of the objective function. The elaborated optimization procedure includes nonlinearity of the ferromagnetic material. On the other hand, an applied linear characteristic of the ferromagnetic material results in a too small or wrong electromagnetic actuator dimension. Non-conforming grids are used to achieve a high accuracy by computing the discrete form. At the same time the number of finite elements decreases strongly. The implementation is applied to an electromagnetic actuator in 2D and 3D.

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“…It can analyse the heart rate signal in ECG (Electrocardiography) format real-time and also display ECG signal waveform in graph format. We analyze heart rate signal for checking heart signal that are there some problem with heart and calculate heart beat rate [2]. We develop that system in small size for mobility by 10 * 15 cm-square size.…”

Section: Introductionmentioning

confidence: 99%

Portable ECG Real Time Signal Monitoring Device

2016

Proceedings of 2016 the 6th International Workshop on Computer Science and Engineering

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This paper introduces about the application of Embedded system for analyzing heart rate signal in ECG (Electrocardiography) format using Microcontroller. Microcontroller must process signal in DSP method in this case the heart rate signal must be processed in real-time. Our system can analyze heart rate to find the frequency of heart beat and show ECG signal and heart rate on display of Microcontroller board. To obtaining heart rate signal we use electrode placed on body in lead 2 orientations. We decide to make our system portable and can run on battery all over a day for recording signal to analyze during a day.

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A Review on Usage of Optimization Methods in Geothermal Power Generation

Cited by 10 publications

References 25 publications

Time Series Optimization-Based Characteristic Curve Calculation for Local Reactive Power Control Using Pandapower-PowerModels Interface

Time Series Optimization-Based Characteristic Curve Calculation for Local Reactive Power Control Using Pandapower-PowerModels Interface

A pseudo density topology optimization approach in nonlinear electromagnetism applied to a 3D actuator

Portable ECG Real Time Signal Monitoring Device

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