Hybrid operation strategy of wind energy storage system for power grid frequency regulation

Choi, Jin Woo; Heo, Shin Young; Kim, Mun-Kyeom

doi:10.1049/iet-gtd.2015.0149

Cited by 96 publications

(44 citation statements)

References 31 publications

(35 reference statements)

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“…Our model representing a wind turbine's power is given by Recently, both permanent magnet synchronous generators (PMSGs) and doubly fed induction generators (DFIGs) have begun to be used more widely [24]. PMSG wind turbines have more highly reliable operations, lower maintenance expenses, and smaller weights with simpler structures than DFIG wind turbines do.…”

Section: Wind Turbine Modelingmentioning

confidence: 99%

“…Maximum power point tracking control is usually employed to maximize the turbine energy-conversion efficiency through the regulation of the rotational speeds of variable-speed wind turbines. Depending on the wind's aerodynamic conditions, the power captured by the wind turbine can be maximized versus Recently, both permanent magnet synchronous generators (PMSGs) and doubly fed induction generators (DFIGs) have begun to be used more widely [24]. PMSG wind turbines have more highly reliable operations, lower maintenance expenses, and smaller weights with simpler structures than DFIG wind turbines do.…”

Section: Wind Turbine Modelingmentioning

confidence: 99%

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Multi-Objective Optimization of Voltage-Stability Based on Congestion Management for Integrating Wind Power into the Electricity Market

Choi

Kim

2017

Applied Sciences

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This paper proposes voltage-stability based on congestion management (CM) for electricity market environments and considers the incorporation of wind farms into systems as well. A probabilistic voltage-stability constrained optimal power flow (P-VSCOPF) is formulated to maximize both social welfare and voltage stability. To reflect the probabilistic influence of CM in the presence of wind farms on voltage stability, Monte Carlo simulations (MCS) are used to analyze both the system load and the wind speed from their probability distribution functions. A multi-objective particle-swarm optimization (MOPSO) algorithm is implemented to solve the P-VSCOPF problem. A contingency analysis based on the voltage stability index (VSI) for line outages is employed to find the vulnerable line of congestion in power systems. The congestion distribution factor (CDF) is also used to find the optimal location of a wind farm in CM. The optimal pricing expression, which is obtained, with respect to preserving voltage stability, by calculating both the locational marginal prices (LMPs) and the nodal congestion prices (NCPs), is demonstrated in terms of congestion solutions. Simultaneously, the voltage stability margin (VSM) is considered within the CM framework. The proposed approach is implemented on a modified IEEE 24-bus system, and the results obtained are compared with the results of other optimal power flow methods.

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Section: Wind Turbine Modelingmentioning

confidence: 99%

Section: Wind Turbine Modelingmentioning

confidence: 99%

Multi-Objective Optimization of Voltage-Stability Based on Congestion Management for Integrating Wind Power into the Electricity Market

Choi

Kim

2017

Applied Sciences

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“…To have a frequency regulation in the power system network co-ordinated control of wind energy conversion system and battery energy storage system was introduced. This gave an active power control and frequency control for variable wind speed conditions [10]. To enhance active power control a distributive model predictive control using fast gradient method was proposed [11].…”

Section: Introductionmentioning

confidence: 99%

Wind Integrated Time series load flow analysis for a Practical Distribution System

Muruganantham

Gnanadass

2017

Rev. Fac. Ing. Univ. Antioquia

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ABSTRACT:Wind is a clean source of energy which is naturally available and has been replacing the harmful non-perennial conventional power plants such as Thermal, Hydro, Nuclear etc., The innovation in design has gradually reduced the cost to set up a wind power plant. This has increased the penetration of wind energy in the Distribution Network (DN). Being a seasonal power generation, wind energy integration in the distribution network has created many challenging issues like voltage stability, system reliability and power system network stability. Hence a thorough analysis of wind energy integration is needed to make the power system network more stable. This paper describes the dynamic behavior of the distribution system while integrating wind energy through time series analysis. The load flow is performed using Newton-Raphson method, with a variable load profile. Time series analysis is done which gives the performance characteristics of the system which is validated in a practical IEEE 123 test feeder. RESUMEN:El viento es una fuente limpia de energía, que es naturalmente disponible y ha estado reemplazando las centrales de energía eléctrica convencionales no perennes tales como trmicas, hidroelectricas,nucleares etc., La innovación en el diseño ha reducido gradualmente el costo de instalar una planta de energía eólica, aumentando la penetración de este tipo de energía en la Red de Distribución (DN)de energía. Al ser una generación de energía estacional, la integración de la energía eólica en la red de distribución ha creado muchos desafíos como la estabilidad del voltaje, la confiabilidad del sistema y la estabilidad de la red del sistema eléctrico. Por lo tanto, un análisis exhaustivo de la integración de la energía eólica es necesario para hacer el sistema de energía más estable. Este artículo describe el comportamiento dinámico del sistema de distribución al tiempo que integra la energía eólica mediante análisis de series de tiempo. El flujo de carga se realiza utilizando el método de Newton-Raphson, con un perfil de carga variable. Se realiza un análisis de series temporales que da las características de rendimiento del sistema que se valida en un alimentador de prueba IEEE 123 práctico.

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“…In China, a 14 MW lithiumion phosphate battery and a 2 MW vanadium redox flow battery have been built in Zhangbei National Wind and Solar Energy Storage and Transmission Demonstration Project. Recent research efforts have focused on how to coordinate the wind power with BESS for multiple objectives, such as smoothing power fluctuations [4,5], energy arbitrage [6], regulation [7], and other ancillary services [8,9].…”

Section: Introductionmentioning

confidence: 99%

Stochastic coordinated operation of wind and battery energy storage system considering battery degradation

Wang

Zhou

Botterud

et al. 2016

J. Mod. Power Syst. Clean Energy

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Grid-scale battery energy storage systems (BESSs) are promising to solve multiple problems for future power systems. Due to the limited lifespan and high cost of BESS, there is a cost-benefit trade-off between battery effort and operational performance. Thus, we develop a battery degradation model to accurately represent the battery degradation and related cost during battery operation and cycling. A linearization method is proposed to transform the developed battery degradation model into the mixed integer linear programming (MILP) optimization problems. The battery degradation model is incorporated with a hybrid deterministic/stochastic look-ahead rolling optimization model of wind-BESS bidding and operation in the real-time electricity market. Simulation results show that the developed battery degradation model is able to effectively help to extend the battery cycle life and make more profits for wind-BESS. Moreover, the proposed rolling look-ahead operational optimization strategy can utilize the updated wind power forecast, thereby also increase the wind-BESS profit.

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Hybrid operation strategy of wind energy storage system for power grid frequency regulation

Cited by 96 publications

References 31 publications

Multi-Objective Optimization of Voltage-Stability Based on Congestion Management for Integrating Wind Power into the Electricity Market

Multi-Objective Optimization of Voltage-Stability Based on Congestion Management for Integrating Wind Power into the Electricity Market

Wind Integrated Time series load flow analysis for a Practical Distribution System

Stochastic coordinated operation of wind and battery energy storage system considering battery degradation

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