基于0-1背包问题求解的大工业用户用能优化策略研究

Energy optimization strategy of large industrial consumers based on 0-1 knapsack problem solution

大工业用户用能具有高负荷率、峰谷负荷小,非生产性负荷能进行适当调整等特性,通过合理配置分布式电源、储能设备等,可以到达更好的用能效果。为了解决大工业用户用能的优化管理,提出了基于0-1背包问题求解的大工业用户用能优化策略方法。首先,构建了大工业用户的优化策略的0-1背包问题模型;其次,提出了大工业用户用能0-1背包问题求解的优化算法流程;最后通过算例,验证了该0-1背包算法的可行性,以期对我国大工业用户用能取到一定的指导作用。

Industrial consumers can achieve better energy utilization effect with characteristics of a high loading rate,a small peak valley difference,and a adjustable nonproductive capacity by allocating distributed generation and energy storage devices. In order to solve the optimal energy management of large industrial consumers,this paper proposes the energy optimization strategy of large industrial consumers based on 0-1 knapsack problem solution. Firstly,it establishes the optimization strategy 0-1 knapsack model of large industry consumers. Secondly,it puts forward the optimization algorithm process of 0-1 knapsack problem with large industrial consumers. Finally,it verifies the feasibility of 0-1 knapsack algorithm through case studies and provides a reference for the energy management of large industrial consumers in China.