The Capacity Optimization of Wind-Photovoltaic-Thermal Energy Storage Hybrid Power System

This paper proposes a Wind-Photovoltaic-Thermal Energy Storage hybrid power system with an electric heater. The proposed system consists of wind subsystem, photovoltaic subsystem, electric heater, thermal energy storage and steam turbine unit. The electric heater is used to convert the redundant ele...

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Published in:E3S Web of Conferences 2019-01, Vol.118, p.2054
Main Authors: Li, Jingli, Qi, Wannian, Yang, Jun, He, Yi, Luo, Jingru, Guo, Su
Format: Article
Language:English
Subjects:
Algorithms
Alternative energy
Electric power systems
Electricity
Electricity consumption
Energy conservation
Energy management
Energy storage
Energy transmission
Hybrid systems
Optimization
Particle swarm optimization
Photovoltaics
Renewable energy
Steam electric power generation
Steam turbines
Subsystems
Thermal energy
Turbines
Wind
Wind power generation
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cited_by cdi_FETCH-LOGICAL-c3064-6b26ff9efcfec2c9c677112174756784d754a85a754bdad6cc5f835219e614a3
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creator Li, Jingli
Qi, Wannian
Yang, Jun
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description This paper proposes a Wind-Photovoltaic-Thermal Energy Storage hybrid power system with an electric heater. The proposed system consists of wind subsystem, photovoltaic subsystem, electric heater, thermal energy storage and steam turbine unit. The electric heater is used to convert the redundant electricity from wind or photovoltaic subsystem into heat, which is stored in thermal energy storage. When the system output is less than the load demand, thermal energy storage system releases heat to generate electricity. In this paper, the optimal objective is to minimize the levelized cost of energy and maximize the utilization rates of renewable energy and transmission channel. The fitness function is compiled according to the scheduling strategy, and the capacity optimization problem is solved by particle swarm optimization algorithm in MATLAB. The case analysis show that the proposed system can effectively increase the utilization rate of renewable energy and transmission channel.
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The proposed system consists of wind subsystem, photovoltaic subsystem, electric heater, thermal energy storage and steam turbine unit. The electric heater is used to convert the redundant electricity from wind or photovoltaic subsystem into heat, which is stored in thermal energy storage. When the system output is less than the load demand, thermal energy storage system releases heat to generate electricity. In this paper, the optimal objective is to minimize the levelized cost of energy and maximize the utilization rates of renewable energy and transmission channel. The fitness function is compiled according to the scheduling strategy, and the capacity optimization problem is solved by particle swarm optimization algorithm in MATLAB. 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subjects Algorithms
Alternative energy
Electric power systems
Electricity
Electricity consumption
Energy conservation
Energy management
Energy storage
Energy transmission
Hybrid systems
Optimization
Particle swarm optimization
Photovoltaics
Renewable energy
Steam electric power generation
Steam turbines
Subsystems
Thermal energy
Turbines
Wind
Wind power generation
title The Capacity Optimization of Wind-Photovoltaic-Thermal Energy Storage Hybrid Power System
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