Optimal operation of photovoltaic/diesel generator/pumped water reservoir power system using modified manta ray optimization
Optimal operation of photovoltaic/diesel generator/pumped water reservoir power system using modified manta ray optimization
复制标题
使用改进的蝠鲼优化来优化光伏/柴油发电机/抽水蓄水池电力系统的运行
DOI：
10.1016/j.jclepro.2020.125733
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发表时间：
2021-03
影响因子：
11.1
通讯作者：
Kittisak Jermsittiparsert
中科院分区：
文献类型：
--
作者：
Bingzhi Liu;Zizeng Wang;Li Feng;Kittisak Jermsittiparsert
为了充分利用可再生能源，在可再生能源普及率较高的情况下提高电力系统的可靠性，强烈建议与其他可再生能源或不可再生能源以及储能系统相结合。本文研究了由太阳能电池板、柴油发电机和抽水蓄水器组成的混合动力系统。在这个系统中，多余的太阳能被用来将水泵入储水器中，以供以后使用。当太阳能不足以满足需求时，柴油发电和抽水蓄能装置可以帮助满足需求。由于柴油发电机组油耗的非线性特性，该机组的最佳发电量可以节约成本。这就产生了一个优化问题，本文提出了一种优化技术来解决这个问题。所使用的优化被称为螳螂优化，并基于改进版本的螳螂觅食技术。仿真结果表明，该方法具有更好的性能和稳健性。这里分析了与高、正常和低太阳辐射有关的三种情景，分别与研究年份的最大、平均和最小太阳辐照度有关。在太阳辐射低的情况下，由于DG是唯一的辅助发电机组，因此不需要进行优化。在方案1和方案2中，使用所提出的优化技术的油耗分别平均提高6.14%和5.96%。此外，该优化方法在场景1和场景2中的稳健性分别提高了17.94%和48.41%。
To fully utilize the renewable energy sources and increase the power system reliability with high penetration of renewable energy sources, hybridization with other renewable or nonrenewable sources as well as energy storage systems is highly recommended. This paper studies a hybrid power system consisting of solar panels, a diesel generator, and a pumped water reservoir. In this system, the excess solar energy is used to pump the water into the water storage for later use. When solar energy is not enough to supply the demand, diesel generation and pumped water reservoir help supply the demand. Due to the nonlinear nature of fuel consumption of diesel generator, an optimum amount of power generated by this unit can lead to cost-saving. This leads to an optimization problem, which is solved by an optimization technique proposed in this paper. The optimization used is named manta ray optimization and is based on the improved version of the manta ray foraging technique. The simulation results obtained from the proposed technique, the conventional manta ray foraging technique, and other well-known techniques are compared to the proposed method to prove better performance and robustness of the proposed method. Three scenarios are analyzed here which are associated with high, normal, and low solar radiation, which are respectively related to maximum, average, and minimum solar irradiance in the studied year. In the case of low solar radiation, optimization is not required as DG is the only auxiliary generation unit. The fuel consumptions using the proposed optimization technique are averagely 6.14% and 5.96% better in scenarios 1 and 2, respectively. Moreover, the robustness achieved by this optimization method is 17.94% and 48.41% higher in scenarios 1 and 2, respectively.
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影响因子：
4.6
作者：
Xiao Xu;Weihao Hu;Di Cao;Wen Liu;Zhe Chen;H. Lund
通讯作者：
Xiao Xu;Weihao Hu;Di Cao;Wen Liu;Zhe Chen;H. Lund
DOI：
10.1007/s12652-017-0600-7
发表时间：
2019-01-01
影响因子：
--
作者：
Mirzapour, Farzaneh;Lakzaei, Mostafa;Ghadimi, Noradin
通讯作者：
Ghadimi, Noradin
DOI：
10.1016/s0262-1762(03)01102-7
发表时间：
2003
期刊：
--
影响因子：
--
作者：
Larry Bachus;Á. Custodio;Á. Custodio
通讯作者：
Larry Bachus;Á. Custodio;Á. Custodio
DOI：
10.1080/15567036.2019.1680770
发表时间：
2019-10-22
影响因子：
2.9
作者：
Xi Fei;Ruan Xuejun;Razmjooy, Navid
通讯作者：
Razmjooy, Navid
影响因子：
10.4
作者：
Weiping Zhang;A. Maleki;M. Rosen;Jing-qing Liu
通讯作者：
Weiping Zhang;A. Maleki;M. Rosen;Jing-qing Liu