The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Jiangfeng Zhang - One of the best experts on this subject based on the ideXlab platform.
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Risk-Constrained Bidding Strategy for a Joint Operation of Wind Power and CAES Aggregators
IEEE Transactions on Sustainable Energy, 2020Co-Authors: Sahand Ghavidel, Mj Ghadi, Ali Azizivahed, Jamshid Aghaei, Li Li, Jiangfeng ZhangAbstract:This paper proposes a coordinated strategy of a hybrid power plant (HPP), which includes a wind power aggregator and a commercial compressed air energy storage (CAES) aggregator to participate in three electricity markets (day-ahead, intraday, and balancing markets). The CAES aggregator has an extra ability which is called a simple-cycle mode Operation that makes it works like a gas turbine when needed, which helps the HPP to economically handle the miscalculations of the wind power and electricity price predictions. The coordinated strategy of the HPP is formulated as a three-stage stochastic optimization problem. To control the financial risks, the conditional value-at-risk model is added to the optimization problem. Moreover, the proposed offering method is capable of submitting both bidding quantity and curves to the day-ahead market. A mixed integer linear programming formulation is written for the problem that can be easily solved by commercially available software such as GAMS. The results that were tested on a realistic-based case study located in Spain show the applicability of the suggested method to increase the Joint Operation profit and decrease the financial risks.
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risk constrained demand response and wind energy systems integration to handle stochastic nature and wind power outage
IET Energy Systems Integration, 2019Co-Authors: Sahand Ghavidel, Mj Ghadi, Ali Azizivahed, Amin Rajabi, Jiangfeng ZhangAbstract:Participation of wind generation in electricity markets is mainly restricted by the intermittent nature of wind and their possible outages. The great potential of flexible loads from demand response (DR) can be seen as a cost-effective option to handle such issues. In this regard, this study investigates the Operation of a virtual power plant (VPP) that is constructed by a DR aggregator and wind power aggregator to handle the inherent volatility of wind generators as well as the possible wind power outage. A stochastic programming formulation in three stages is offered for the VPP that participates in the balancing, intraday and day-ahead markets. The model for DR is developed based on the elasticity concept, and the scenarios related to severe outages of the wind generators are considered. In order to manage the risk of the problem, conditional value-at-risk has also been employed in offering strategy. Case studies demonstrate that the VPP offering strategy can efficiently solve the balancing problem as well as outage risk of the wind generation while increasing the net profit in case of Joint Operation.
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coordinated Operation of electric vehicle charging and wind power generation as a virtual power plant a multi stage risk constrained approach
Applied Energy, 2019Co-Authors: Mohammad Hossein Abbasi, Li Li, Amin Rajabi, Mehrdad Taki, Jiangfeng ZhangAbstract:As the number of electric vehicles (EVs) is steadily increasing, their aggregation can offer significant storage to improve the electric system Operation in many aspects. To this end, a comprehensive stochastic optimization framework is proposed in this paper for the Joint Operation of a fleet of EVs with a wind power producer (WPP) in a three-settlement pool-based market. An aggregator procures enough energy for the EVs based on their daily driving patterns, and schedules the stored energy to counterbalance WPP fluctuations. Different sources of uncertainty including the market prices and WPP generation are modeled through proper scenarios, and the risk is hedged by adding a risk measure to the formulation. To obtain more accurate results, the battery degradation costs are also included in the problem formulation. A detailed case study is presented based on the Iberian electricity market data as well as the technical information of three different types of EVs. The proposed approach is benchmarked against the disJoint Operation of EVs and WPP. Numerical simulations demonstrate that the proposed strategy can effectively benefit EV owners and WPP by reducing the energy costs and increasing the profits.
Moein Parastegari - One of the best experts on this subject based on the ideXlab platform.
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Joint Operation of wind farm photovoltaic pump storage and energy storage devices in energy and reserve markets
International Journal of Electrical Power & Energy Systems, 2015Co-Authors: Moein Parastegari, Rahmatallah Hooshmand, Amin Khodabakhshian, Amirhossein ZareAbstract:Abstract Renewable resources generation scheduling is one of the newest problems of the power markets. In this paper, Joint Operation (JO) of wind farms (WF), pump-storage units (PSU), photo-voltaic (PV) resources, and energy storage devices (ESD) is studied in the energy and ancillary service markets. There are uncertainties in wind power generation (WPG), photovoltaic power generation (PVPG) and the market prices. To model these uncertainties, the WPG is forecasted by using ARMA model and its scenarios are generated using Weibull distribution function. Moreover, other uncertain parameters are forecasted first, and their uncertainties are modeled by using scenario generation and scenario reduction method. The proposed JO method is used to determine the optimal bidding strategy of the PSU, PV, ESD and WF of IEEE 118-bus standard system. The results for these renewable energy resources confirm that the JO of these resources increases the profit and decreases the risk of the resources in comparison with their uncoordinated Operation (UO).
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Joint Operation of wind farms and pump storage units in the electricity markets modeling simulation and evaluation
Simulation Modelling Practice and Theory, 2013Co-Authors: Moein Parastegari, Rahmatallah Hooshmand, Amin Khodabakhshian, Zohreh ForghaniAbstract:Abstract Renewable power plants generation scheduling and unit commitment construct new problems of the power systems. In this paper, optimal scheduling of the Joint Operation (JO) and uncoordinated Operation (UO) of wind farms and pump-storage plants in the energy and ancillary service markets are studied. For this purpose, a new method for modeling, simulation and evaluation of these units is presented. Since there are uncertainties in wind power generation (WPG) and the market prices, the scheduling problem is modeled by a stochastic optimization problem. Optimal bidding strategy of units is determined by solving this stochastic optimization problem. For this purpose, uncertainties are modeled by a scenario tree method. In order to evaluate the performance of the results of JO and UO of the plants, the value at risk (VaR) and the profit of the plants are compared. With JO of pump-storage plants and wind units, the profit of these plants in comparison with their UO will be increased. The results for pump-storage and wind farms of IEEE 118-bus standard system, verify that the JO of these units, improves the profit and VaR of the system.
Zohreh Forghani - One of the best experts on this subject based on the ideXlab platform.
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Joint Operation of wind farms and pump storage units in the electricity markets modeling simulation and evaluation
Simulation Modelling Practice and Theory, 2013Co-Authors: Moein Parastegari, Rahmatallah Hooshmand, Amin Khodabakhshian, Zohreh ForghaniAbstract:Abstract Renewable power plants generation scheduling and unit commitment construct new problems of the power systems. In this paper, optimal scheduling of the Joint Operation (JO) and uncoordinated Operation (UO) of wind farms and pump-storage plants in the energy and ancillary service markets are studied. For this purpose, a new method for modeling, simulation and evaluation of these units is presented. Since there are uncertainties in wind power generation (WPG) and the market prices, the scheduling problem is modeled by a stochastic optimization problem. Optimal bidding strategy of units is determined by solving this stochastic optimization problem. For this purpose, uncertainties are modeled by a scenario tree method. In order to evaluate the performance of the results of JO and UO of the plants, the value at risk (VaR) and the profit of the plants are compared. With JO of pump-storage plants and wind units, the profit of these plants in comparison with their UO will be increased. The results for pump-storage and wind farms of IEEE 118-bus standard system, verify that the JO of these units, improves the profit and VaR of the system.
Yanlai Zhou - One of the best experts on this subject based on the ideXlab platform.
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Joint Operation and dynamic control of flood limiting water levels for mixed cascade reservoir systems
Journal of Hydrology, 2014Co-Authors: Yanlai Zhou, Chongyu XuAbstract:Summary Reservoirs are one of the most efficient infrastructures for integrated water resources development and management; and play a more and more important role in flood control and conservation. Dynamic control of the reservoir flood limiting water level (FLWL) is a valuable and effective approach to compromise the flood control, hydropower generation and comprehensive utilization of water resources of river basins during the flood season. The dynamic control models of FLWL for a single reservoir and cascade reservoirs have been extended for a mixed reservoir system in this paper. The proposed model consists of a dynamic control Operation module for a single reservoir, a dynamic control Operation module for cascade reservoirs, and a Joint Operation module for mixed cascade reservoir systems. The Three Gorges and Qingjiang cascade reservoirs in the Yangtze River basin of China are selected for a case study. Three-hour inflow data series for representative hydrological years are used to test the model. The results indicate that the proposed model can make an effective tradeoff between flood control and hydropower generation. Joint Operation and dynamic control of FLWL can generate 26.4 × 10 8 kW h (3.47%) more hydropower for the mixed cascade reservoir systems and increase the water resource utilization rate by 3.72% for the Three Gorges reservoir and 2.42% for the Qingjiang cascade reservoirs without reducing originally designed flood prevention standards.
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Joint Operation and dynamic control of flood limiting water levels for cascade reservoirs
Water Resources Management, 2013Co-Authors: Jionghong Chen, Yu Li, Yanlai ZhouAbstract:Reservoirs are among the most effective tools for integrated water resources development and management. The dynamic control of reservoir flood limiting water level (FLWL) is a valuable and effective method to compromise the flood control and conservation for reservoir Operation during the flood season. This paper focuses on Joint Operation and dynamic control of FLWL for cascade reservoirs. A composition and decomposition-based model that consists of an aggregation module, a storage decomposition module and a simulation Operation module was developed. The model was applied to the Qingjiang basin in south of China using the 3-hour inflow data series for representative hydrological years. Application results indicate that the proposed model can make an effective tradeoff between the flood control and hydropower generation. Joint Operation and dynamic control of FLWL can increase power production by 4.51 % (1.79 × 10 8 kWh) and increase water use rate by 2.73 %. It can enhance benefits of the Qingjiang cascade reservoirs without compromising flood prevention objectives. Copyright Springer Science+Business Media Dordrecht 2013
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Joint Operation and dynamic control of flood limiting water levels for cascade reservoirs
Water Resources Management, 2013Co-Authors: Jionghong Chen, Shenglian Guo, Pan Liu, Yanlai ZhouAbstract:Reservoirs are among the most effective tools for integrated water resources development and management. The dynamic control of reservoir flood limiting water level (FLWL) is a valuable and effective method to compromise the flood control and conservation for reservoir Operation during the flood season. This paper focuses on Joint Operation and dynamic control of FLWL for cascade reservoirs. A composition and decomposition-based model that consists of an aggregation module, a storage decomposition module and a simulation Operation module was developed. The model was applied to the Qingjiang basin in south of China using the 3-hour inflow data series for representative hydrological years. Application results indicate that the proposed model can make an effective tradeoff between the flood control and hydropower generation. Joint Operation and dynamic control of FLWL can increase power production by 4.51 % (1.79 × 108 kWh) and increase water use rate by 2.73 %. It can enhance benefits of the Qingjiang cascade reservoirs without compromising flood prevention objectives.
Rahmatallah Hooshmand - One of the best experts on this subject based on the ideXlab platform.
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Joint Operation of wind farm photovoltaic pump storage and energy storage devices in energy and reserve markets
International Journal of Electrical Power & Energy Systems, 2015Co-Authors: Moein Parastegari, Rahmatallah Hooshmand, Amin Khodabakhshian, Amirhossein ZareAbstract:Abstract Renewable resources generation scheduling is one of the newest problems of the power markets. In this paper, Joint Operation (JO) of wind farms (WF), pump-storage units (PSU), photo-voltaic (PV) resources, and energy storage devices (ESD) is studied in the energy and ancillary service markets. There are uncertainties in wind power generation (WPG), photovoltaic power generation (PVPG) and the market prices. To model these uncertainties, the WPG is forecasted by using ARMA model and its scenarios are generated using Weibull distribution function. Moreover, other uncertain parameters are forecasted first, and their uncertainties are modeled by using scenario generation and scenario reduction method. The proposed JO method is used to determine the optimal bidding strategy of the PSU, PV, ESD and WF of IEEE 118-bus standard system. The results for these renewable energy resources confirm that the JO of these resources increases the profit and decreases the risk of the resources in comparison with their uncoordinated Operation (UO).
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Joint Operation of wind farms and pump storage units in the electricity markets modeling simulation and evaluation
Simulation Modelling Practice and Theory, 2013Co-Authors: Moein Parastegari, Rahmatallah Hooshmand, Amin Khodabakhshian, Zohreh ForghaniAbstract:Abstract Renewable power plants generation scheduling and unit commitment construct new problems of the power systems. In this paper, optimal scheduling of the Joint Operation (JO) and uncoordinated Operation (UO) of wind farms and pump-storage plants in the energy and ancillary service markets are studied. For this purpose, a new method for modeling, simulation and evaluation of these units is presented. Since there are uncertainties in wind power generation (WPG) and the market prices, the scheduling problem is modeled by a stochastic optimization problem. Optimal bidding strategy of units is determined by solving this stochastic optimization problem. For this purpose, uncertainties are modeled by a scenario tree method. In order to evaluate the performance of the results of JO and UO of the plants, the value at risk (VaR) and the profit of the plants are compared. With JO of pump-storage plants and wind units, the profit of these plants in comparison with their UO will be increased. The results for pump-storage and wind farms of IEEE 118-bus standard system, verify that the JO of these units, improves the profit and VaR of the system.
