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Effects of Wind and PV Energy on Optimal Determination of Energy Storage and Spinning Reserve Capacity

机译:风能和光伏能源对储能和旋转备用容量最佳确定的影响

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Today, there is an ever-increasing tendency towards the use of renewable energy resources due to the depletion of fossil fuels ones. This study presents an approach based on the probability density functions (PDF) of wind speed and solar irradiance level by which different scenarios for the output power of the resources are extracted. Then, the production schedule of power system in the electricity market is developed based on the extracted generated powers. In the next step, the scenario of the use of battery as an energy storage system (ESS) is put forward in order to compensate the uncertainty of the output power of renewables. Consequently, the optimal capacity of the battery is obtained interactively with the market in the form of an optimization problem using differential evolution algorithm (DE). In addition, the use of battery as a no-spinning reserve of system with the aim of reducing the spinning reserve (SR) level of system is evaluated. The proposed method will be tested on a distribution feeder in Wellington, New Zealand and the obtained results will be analyzed.
机译:如今,由于化石燃料的枯竭,使用可再生能源的趋势正在不断增加。这项研究提出了一种基于风速和太阳辐照度水平的概率密度函数(PDF)的方法,通过该方法可以提取资源输出功率的不同方案。然后,基于提取的发电量,制定电力市场中电力系统的生产计划。在下一步中,提出了使用电池作为能量存储系统(ESS)的方案,以补偿可再生能源输出功率的不确定性。因此,使用差分进化算法(DE)以优化问题的形式与市场交互地获得电池的最佳容量。此外,还评估了使用电池作为系统的无纺丝储备,目的是减少系统的纺丝储备(SR)水平。拟议的方法将在新西兰惠灵顿的分布式给料机上进行测试,并对获得的结果进行分析。

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