考虑环境成本的火电厂负荷优化分配

摘要

针对除尘、脱硫、脱硝改造后火电厂负荷优化分配问题，从提高全厂综合经济效益的角度出发，提出了一种考虑环境成本的全厂负荷优化分配模型和满足电网调度实时性要求的可控搜索粒子群优化(PSO-CE)算法。基于机组实际运行数据，构建了供电煤耗和多种污染物排放浓度特性模型，根据除尘、脱硫、脱硝补偿电价和排污费用标准，建立了面向最优综合经济效益的负荷优化分配模型和自适应负荷约束条件。在标准粒子群优化算法中引入可控随机搜索的速度因子和动态调整的最大速度限制因子，使其具有平衡算法的计算耗时和寻优能力，并通过某火电厂4台机组的负荷分配仿真试验验证了该算法的有效性。%Against the load optimal distribution problems in power plants after dedusting,desulfurization, and denitrification,a whole plant load distribution model considering environmental cost and a controllable exploration particle swarm optimization (PSO-CE)algorithm satisfying the real-time request of power dis-patching were proposed,from the aspect of improving the plant comprehensive economic benefit.The net coal consumption characteristic model and the multiple contaminants emission concentration characteristic model were constructed on the basis of the unit actual operating data.Then,the load distribution model for optimal comprehensive economic benefit and the self-adaptive load constraint condition were established, based on the dedusting,desulfurization,and denitrification compensation electricity price and the standard expense of pollutants emission.Moreover,the velocity factor of controllable random exploration and maxi-mum velocity limiting factor of dynamic adj ustment were introduced to the standard particle swarm optimi-zation algorithm to balance the computing cost and search ability.Simulations on the load distribution of a power plant with 4 units reveal the validity of the proposed method.