基于改进粒子群算法和多目标优化算法的燃煤电站脱硫废水零排放综合评价

Comprehensive Evaluation of Zero Discharge of Desulfurization Wastewater from Coal-fired Power Plants Based on Improved Particle Swarm Algorithm and Multi-objective Optimization Algorithm

燃煤电站脱硫废水零排放要求较高,待优化目标较多,相关量化指标处理困难,对此,提出基于改进粒子群算法和多目标优化的燃煤电站脱硫废水零排放综合评价。依据燃煤电站脱硫废水零排放技术的工艺流程,选取影响评价结果的指标,设立评价指标体系;采用换阶函数、里昂惕夫逆矩阵以及指示函数量化叠加评价指标,从而获得综合评价指标;引入多目标优化算法构建以效益最大化为目标的评价模型,并利用改进粒子群算法采用弥漫性求解,由此求取综合评价值,实现对燃煤电站脱硫废水零排放的综合评价。以实际燃煤电站脱硫废水零排放工艺为研究背景,对所提方法的评价性能进行测试,结果显示,所提方法得到的评价结果具有较高的拟合系数,评价效果更好。

The demand for zero discharge of desulfurization wastewater from coal-fired power plants is higher,and there are many objectives to be optimized,making it difficult to quantify the relevant indicators.Therefore,a comprehensive evaluation of zero discharge of desulfurization wastewater from coal-fired power plants based on improved particle swarm algorithm and multi-objective optimization is proposed.Based on the process flow of zero discharge technology for desulfurization wastewater in coal-fired power plants,indicators that affect the evaluation results are selected,and an evaluation indicator system is established.The evaluation indicators are quantified and overlaid using order changing function,Leonlief inverse matrix,and indicator function to obtain comprehensive evaluation indicators.A multi-objective optimization algorithm is introduced to construct an evaluation model with the goal of maximizing benefits,and an improved particle swarm algorithm is used to solve the diffusion problem.Based on this,a comprehensive evaluation value is obtained to achieve a comprehensive evaluation of zero discharge of desulfurization wastewater from coal-fired power plants.Taking the zero discharge process of desulfurization wastewater from actual coal-fired power plants as the research background,the evaluation performance of the proposed method is tested.The results show that the evaluation results obtained by the proposed method has a higher fitting coefficient and better evaluation effect.