Energy Storage to Improve Reliability of Wind Integrated Systems Under Frequency Security Constraint

Nguyen, Nga; Bera, Atri; Mitra, Joydeep

doi:10.1109/tia.2018.2838558

Cited by 60 publications

(7 citation statements)

References 35 publications

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“…This wind farm is assumed to consist of 80 identical wind turbines, of 8 MW each. The inertia contribution from each turbine is assumed to be 0.025 s [19]. This modification is illustrated in Figure 4, where the wind farm is added to Bus 36 by replacing the synchronous generator at this location. Case III : For this case, wind power generation replaces about 20% of the inertia‐rich conventional generation of the original system.…”

Section: Case Studies and Resultsmentioning

confidence: 99%

Quantification of storage required for preserving frequency security in wind‐integrated systems

Bera

Nguyen

Chalamala

et al. 2023

IET Renewable Power Gen

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The penetration of wind power generation into the power grid has been accelerated in recent times due to the aggressive emission targets set by governments and other regulatory authorities. Although wind power has the advantage of being environment‐friendly, wind as a resource is intermittent in nature. In addition, wind power contributes little inertia to the system as most wind turbines are connected to the grid via power electronic converters. These negative aspects of wind power pose serious challenges to the frequency security of power systems as penetration increases. In this work, an approach is proposed where an energy storage system (ESS) is used to mitigate frequency security issues of wind‐integrated systems. ESSs are well equipped to supply virtual inertia to the grid due to their fast‐acting nature, thus replenishing some of the energy storage capability of displaced inertial generation. In this work, a probabilistic approach is proposed to estimate the amount of inertia required by a system to ensure frequency security. Reduction in total system inertia due to the displacement of conventional synchronous generation by wind power generation is considered in this approach, while also taking into account the loss of inertia due to forced outages of conventional units. Monte Carlo simulation is employed for implementing the probabilistic estimation of system inertia. An ESS is then sized appropriately, using the system swing equation, to compensate for the lost inertia. The uncertainty associated with wind energy is modeled into the framework using an autoregressive moving average technique. Effects of increasing the system peak load and changing the wind profile on the expected system inertia are studied to illustrate various factors that might affect system frequency security. The proposed method is validated using the IEEE 39‐bus test system.

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Section: Case Studies and Resultsmentioning

confidence: 99%

Quantification of storage required for preserving frequency security in wind‐integrated systems

Bera

Nguyen

Chalamala

et al. 2023

IET Renewable Power Gen

Self Cite

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“…This paper is to make up for the SOC error that may be caused by accumulation. Based on the original equivalent circuit model, the effect characteristics of temperature and magnification on SOC output are extracted from the experimental curve, and the change is considered in equation (8). The output of the overall SOC is equivalent to considering changes in Coulomb efficiency.…”

Section: Battery System Modelingmentioning

confidence: 99%

“…7 As a common solution for renewable energy volatility, battery energy storage systems can flexibly distribute electrical energy to increase the utilization of renewable hybrid power generation systems. 2,[8][9][10] However, battery systems have their inherent disadvantages. To this end, researchers have developed various control strategies and system configuration options.…”

Section: Introductionmentioning

confidence: 99%

Unscented Kalman filtering method for scheduling photovoltaic power generation system fluctuations

Zhang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part A:

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For the intermittent nature of renewable resources (such as wind and solar), smooth power fluctuations are required before the energy conversion system can be injected into the grid. The battery system is a typical smoothing control method for photovoltaic power. The long-term overcharge and overdischarge make the battery energy storage scheme unattractive. In this paper, the output power fluctuation of the photovoltaic power generation system is smoothed based on the unscented Kalman filter (UKF) method combined with the fuel cell operating characteristics. This coordination method affects the UKF situation through the feedback of state of charge (SOC) and the power of the battery system. Not only can it better meet the load characteristics, but it can also make the SOC automatically correct the battery system to prevent overcharge and overdischarge. The meteorological load data was used to verify the superiority of the method.

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“…Wind power generation is the conversion of kinetic energy of wind into electricity through wind turbines. Wind energy is proportional to the cubic of wind speed and the mathematical model of wind power output is as follows [23]:…”

Section: Model Of Wind Power Generationmentioning

confidence: 99%

A Survey on Optimal Control and Operation of Integrated Energy Systems

Wei

Zhang

et al. 2019

Complexity

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At present, the transformation of energy structure is at a critical stage, and emerging renewable energy technologies and multienergy equipment have been widely used. How to improve the energy efficiency of integrated energy system (IES) and promote large-scale absorption of renewable energy is of great significance to the application forms of energy in the future. The development of new internet technology and sensor technology provides strong technical support for the optimal operation and coordinated control of IES. In recent years, the IES is experiencing unprecedented changes, which has attracted great attention from academia and industry. In this paper, the optimal control and operation behavior of IES are reviewed. Firstly, the research status of IES in recent years is summarized. Then, the modeling methods of different equipment in IES are analyzed in detail. The optimal operation of user, regional, and cross-regional IES are taken as typical research objects and the research status of optimization problems and operation modes, energy management planning, and power market allocation are summarized and analyzed. Finally, the key scientific issues and related frontier technologies in the IES are concluded, and the future research directions are prospected.

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Energy Storage to Improve Reliability of Wind Integrated Systems Under Frequency Security Constraint

Cited by 60 publications

References 35 publications

Quantification of storage required for preserving frequency security in wind‐integrated systems

Quantification of storage required for preserving frequency security in wind‐integrated systems

Unscented Kalman filtering method for scheduling photovoltaic power generation system fluctuations

A Survey on Optimal Control and Operation of Integrated Energy Systems

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