尾矿库土壤智能修复与风光水能源互补供电研究

Soil Intelligent Remediation and Hybrid Wind-PV-Hydro Electricity Generation in Tailing Pond

针对重金属污染土壤的快速、精准修复和尾矿库废弃土地资源的循环利用问题,提出了一种土壤智能修复与风光水能源供电系统。以电动-植物强化修复为基础,设计控制系统调节修复变量和环境变量,达到土壤修复最佳条件。构建风力、光伏和蓄水互补发电的局域能源网,建立数学模型分析发电出力,利用粒子群算法优化蓄水发电出力。设计的日算例中,当电网侧出力为-9.69~6.79 MW,波动影响较大;当储水发电参与后,电网侧出力变为-0.12~-2.72 MW,波动明显减小。结果表明,通过设计的系统能够减少电网波动、提高新能源利用率,同时满足变负荷系统的多能互补供电要求。

Aiming at the rapid and accurate remediation of contaminated soil with heavy metal and recycling of abandoned land resources in tailing ponds,this paper proposed a system that combines soil intelligent restoration and wind-PV-hydro electricity generation.Based on electrokinetic-plant remediation,the modulating remediation variables and environmental variables in the control system is designed to achieve the best conditions for soil remediation.The local energy network of hybrid wind-PV-hydro electricity generation is built,and the mathematical model is established to analyze the electricity generation output,in which the particle swarm optimization algorithm is used to optimize the hydroelectric generation output.According to the designed daily calculation,the output of the grid side is-9.69~6.79 MW,which has a great influence of fluctuation.When hydroelectric generation is involved,the output of the grid side becomes-0.12~-2.72 MW,which reduces the output fluctuation obviously.The results show that the designed system can reduce the fluctuation of power grid,improve the utilization rate of new energy,and meet the requirements of multi-energy complementary power supply of variable load system.