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首页> 外文期刊>Solar Energy >The multi-objective capacity optimization of wind-photovoltaic-thermal energy storage hybrid power system with electric heater
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The multi-objective capacity optimization of wind-photovoltaic-thermal energy storage hybrid power system with electric heater

机译：带电加热器的风光热储混合动力系统多目标容量优化

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This paper proposes a wind-photovoltaic-thermal energy storage hybrid power system with an electric heater, which adopts the idea of concentrated solar power plant but omits the expensive solar field, and utilizes the reformed power block from conventional small-scale thermal power plant. From the perspective of thermal power plant reconstruction, the hybrid system aims to minimize the levelized cost of energy and maximize the utilization rate of transmission channels. The capacity optimization is solved by multi-objective particle swarm optimization algorithm. Final optimal capacity is obtained by the Pareto front and decision-making method. Moreover, the probability of exceeding is introduced to correct the theoretical power output calculated by mathematical models and improve the practicality of simulation. Finally, by comparing wind-photovoltaic-thermal energy storage system, wind-photovoltaic-battery system and wind-photovoltaic system, it can be concluded that the proposed system effectively increases the utilization rate of transmission channels and presents a better reliability and economy performance.
机译：本文提出了一种带电加热器的风光热储混合动力系统，该系统采用了集中式太阳能发电厂的想法，却忽略了昂贵的太阳能领域，并利用了传统小型火力发电厂的改造后的发电模块。从火力发电厂的改造角度来看，混合动力系统旨在最大程度地降低能源成本，并最大程度提高传输通道的利用率。通过多目标粒子群算法求解容量优化问题。最终的最优容量是通过帕累托前沿和决策方法获得的。此外，引入了超出概率来校正数学模型计算出的理论功率输出并提高仿真的实用性。最后，通过比较风光热储能系统，风光电池系统和风光发电系统，可以得出结论：该系统有效地提高了输电通道的利用率，具有较好的可靠性和经济性。

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