The Role of Hydropower Simulation in Smart Energy Systems

Pandey, Madhusudhan; Lie, Bernt

doi:10.1109/ess50319.2020.9160193

Cited by 4 publications

(4 citation statements)

References 7 publications

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“…The Modelica language is chosen based on the current state-ofthe-art for simulation of multiphysical systems. The choice of language is based on an open-source platform, equation-based modeling possibilities, extensive contributors in the development of the language and its libraries, ease-of-use, interfaces to high-level languages such as Julia and Python [18]. We are using Modelica libraries-OpenHPL [19] for modeling hydro power and pump operations, OpenIPSL [20] for electrical generation, transmission, and distribution, PhotoVoltaics [21] for solar power plants, and WindPower-Plants [22] for wind power plants.…”

Section: With Process Disturbance and Measurement Noisementioning

confidence: 99%

Using MPC to Balance Intermittent Wind and Solar Power with Hydro Power in Microgrids

et al. 2021

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In a microgrid connected with both intermittent and dispatchable sources, intermittency caused by sources such as solar and wind power plants can be balanced by dispatching hydro power into the grid. Both intermittent generation and consumption are stochastic in nature, not known perfectly, and require future prediction. The stochastic generation and consumption will cause the grid frequency to drift away from a required range. To improve performance, operation should be optimized over some horizon, with the added problem that intermittent power varies randomly into the future. Optimal management of dynamic system over a future horizon with disturbances is often posed as a Model Predictive Control (MPC) problem. In this paper, we have employed an MPC scheme for generating a hydro-turbine valve signal for dispatching necessary hydro power to the intermittent grid and maintaining grid frequency. Parameter sensitivity analysis shows that grid frequency is mostly sensitive to the turbine valve signal. We have found that controller discretization time, grid frequency, and power injection into the grid are interrelated, and play an important role in maintaining the grid frequency within the thresholds. Results also indicate that the fluctuations in grid frequency are insignificant on the turbine valve position during power injection into the grid.

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Section: With Process Disturbance and Measurement Noisementioning

confidence: 99%

Using MPC to Balance Intermittent Wind and Solar Power with Hydro Power in Microgrids

et al. 2021

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“…The library has been tested on real power plant data (Vytvytskyi and Lie, 2019a). The library is designed to interface to other Modelica libraries, e.g., libraries with generator models, electric grid, etc., for example, OpenHPL can be integrated with PVSystems 7 for photovoltaics as in (Pandey and Lie, 2020).…”

Section: Previous Studiesmentioning

confidence: 99%

Mechanistic modeling of different types of surge tanks and draft tubes for hydropower plants

Pandey¹,

Lie²

2021

Linköping Electronic Conference Proceedings

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OpenHPL is an open-source hydropower library consisting of models for hydropower components that are developed based on mass and 1D momentum balance. It consists of mechanistic models for the flow of water in filled pipes (inelastic and elastic walls, incompressible and compressible water), a mechanistic model of a Francis turbine (including design of turbine parameters), friction models, etc. This paper includes an extension of OpenHPL with mechanistic models of different types of surge tanks (sharp orifice type, throttle valve surge tank, air-cushion surge tank) and draft tubes (conical diffusers and Moody spreading pipes). The simulated response of the models is presented using a case study of real hydro power plants.

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“…The intermittency in these sources causes the power system networks to operate in different operating conditions. Dispatchable sources such as hydro power can be used for removing the variability in the system's power production caused by the intermittent sources [1]- [4]. Thus, in a modern power system, the hydro generators play a significant role in the flexible operation of the intermittent grid.…”

Section: Introductionmentioning

confidence: 99%

Bayesian Inference for Thermal Model of Synchronous Generator—Part I: Parameter Estimation

Pandey

Lie

2022

IEEE Access

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Due to the increasing injection of intermittent power sources (solar+wind) into a common grid, dispatchable sources such as hydro power should be able to help reduce the variability in load and the variability in generation caused by the intermittent sources. A hydro generator should be able to operate short-term beyond its thermal capability limit. This requires the monitoring of internal temperatures in the hydro generator. In this paper, a thermal model of an air-cooled synchronous generator is presented, emphasizing the various aspects of parameter estimation and identifiability using Bayesian inference. Inferences are drawn from the posterior distributions of the parameters and initial conditions, dispersion (spreading) of particles and sampling efficiency, practical parameter identifiability, and model mismatch with experiments. Results show extremely narrow parameter distributions. It is early to generalize about the posterior distribution of air-related and metal-related parameters of the air-cooled synchronous generator based on the single experimental data presented here.INDEX TERMS Bayesian inference, model fitting, parameter estimation, parameter identifiability, synchronous generator, thermal model.

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The Role of Hydropower Simulation in Smart Energy Systems

Cited by 4 publications

References 7 publications

Using MPC to Balance Intermittent Wind and Solar Power with Hydro Power in Microgrids

Using MPC to Balance Intermittent Wind and Solar Power with Hydro Power in Microgrids

Mechanistic modeling of different types of surge tanks and draft tubes for hydropower plants

Bayesian Inference for Thermal Model of Synchronous Generator—Part I: Parameter Estimation

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