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Interval optimal scheduling of hydro-PV-wind hybrid system considering total firm power coordination

机译:考虑全牢固电力协调的水 - PV - 风混合系统的间隔最优调度

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Coordination of hydro power with multiple renewable sources is an effective way for reducing the adverse effects of large-scale renewable energy integration on the power system. The coordination takes advantage of complementary nature among renewables and the dispatchability feature of hydro stations. This paper presents a yearly scheduling model of the hydro-PV-wind hybrid system, maximizing its generation power and constrained by the total firm power limits. Total firm power constraints ensure the reliability of the hybrid system's monthly generation and reduce the influence of generation. However, the probability distributions of wind power, water inflow and solar radiation are difficult to predict and they are the basis of stochastic optimization. Thus, interval optimization is employed to solve this problem by only considering the possible intervals of random variables. Interval optimization not only reduces the errors introduced by distribution assumptions, but also acquires the possible intervals of the objective value and state variables. To handle the constraints containing intervals, a pessimistic preference ordering of interval numbers is also employed. This interval optimal scheduling model is illustrated and compared for a realistic case study in Yunnan.
机译:利用多种可再生能源的水力发电协调是降低大规模可再生能源集成对电力系统的不利影响的有效途径。协调利用了可再生能源之间的互补性和水力站的调度特征。本文介绍了水 - PV - 风混合系统的年度调度模型,最大化其发电功率并受到总稳固电源限制的约束。全牢固的电源限制确保了混合动力系统的月度一代的可靠性,减少了生成的影响。然而,难以预测风力,水流入和太阳辐射的概率分布,并且它们是随机优化的基础。因此,仅采用间隔优化来通过考虑随机变量的可能间隔来解决该问题。间隔优化不仅减少了分布假设引入的错误,而且还获取客观值和状态变量的可能间隔。为了处理包含间隔的约束,还采用了间隔数的悲观优先顺序。将该间隔最佳调度模型进行了说明,并将其进行了比较,以便在云南的一个现实案例研究。

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