Optimizing wind–solar hybrid power plant configurations by
Han et al. [17] have proposed a complementarity evaluation method for wind, solar, and hydropower by examining independent and combined power generation fluctuation.
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Han et al. [17] have proposed a complementarity evaluation method for wind, solar, and hydropower by examining independent and combined power generation fluctuation.
We adopt the quantum particle swarm algorithm (QPSO) for outer-layer global optimization, combined with an inner-layer stepwise simulation to maximize life cycle benefits
This paper presents a new capacity planning method that utilizes the complementary characteristics of wind and solar power output. It addresses the limitations of
With the increasing energy demand, distributed photovoltaic power generation and wind energy are used as new energy sources for sustainable development. To solve this
The results show that wind and PV power are complementary to each other in different time scales, that is, their superposition can reduce their own volatility.
Therefore, this paper proposes a complementarity evaluation method for wind power, photovoltaic and hydropower by thoroughly examining the fluctuation of the
In this paper, the capacity optimization model of the complementary energy storage system is established based on the analysis of the wind-solar energy storage principle and the energy
This study proposes a collaborative optimization configuration scheme of wind-solar ratio and energy storage based on the complementary characteristics of wind
To address challenges such as consumption difficulties, renewable energy curtailment, and high carbon emissions associated with large-scale wind and solar power
This study constructed a multi-energy complementary wind-solar-hydropower system model to optimize the capacity configuration of wind, solar, and hydropower, and analyzed the system''s
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