基于动态燃料成本双层优化的 燃煤发电企业管控模型

为使燃煤发电企业降低燃料成本,实现燃料科学管控,提出一种综合考虑发电可靠性和生产经济性的燃料成本双层优化模型,上层为电煤采购库存混合整数规划模型,下层为混煤掺烧非线性优化模型,双层模型交替迭代协调优化,实现燃料管控动态决策.针对优化模型高维多约束情况,提出一种混沌映射初始化和高斯变异结合的改进灰狼优化算法.以某燃煤电厂模拟运营进行算例验证分析,结果表明,所提模型可以降低燃煤电厂7.80％的燃煤成本,证明了所提模型与求解算法的有效性和可行性.

Management and Control Model of Coal-fired Power Generation Enterprise Based on Dynamic Fuel Cost Bi-level Optimization

In order to reduce fuel costs and achieve scientific fuel control in coal-fired power generation enterprises, a bi-level fuel cost optimization model that comprehensively considers the reliability of power generation and the economy of production is proposed in this paper. The upper layer is a mixed integer programming model for power coal purchasing and inventory, while the lower layer is a nonlinear optimization model for mixed coal combustion. The bi-level model is the alternating iterative coordination optimization to realize the dynamic decision-making of fuel control. Then, an improved gray wolf optimization algorithm combining chaos mapping initialization and Gaussian mutation is proposed for the high dimensional and multiple constraints of the optimization model. Finally, a simulated operation of a coal-fired power plant is used to verify the results. The results show that the proposed model can reduce the coal cost of coal fired power plant by 7.80%, which proves the effectiveness and feasibility of the proposed model and solution algorithm.