基于MILP的装配企业参与需求响应的调控策略

Scheduling Strategy Based on MILP for Assembly Enterprises Participating in Demand Response

目前国内外有关需求响应技术的研究主要集中在智能家电和智能楼宇中,然而工业企业的电力消费在社会用电中占比极高,如果可以充分利用企业在生产中的需求响应潜力,那么这种潜力将能在电网平衡和提升企业竞争力中发挥重要作用。因此,该文构建了制造装配企业的生产模型,同时基于混合整数线性规划(mixed integer linear programming,M ILP)设计了一种自动需求响应算法,可以最大限度地提高制造商的利润。通过对某电池制造工厂的案例进行研究可知,提出的算法自动满足了电网的需求,同时增加了制造商的利润。通过3个场景:峰平谷电价、需求侧竞价、新能源消纳(风电平抑),具体论证了算法的优越性。此外,描述了装配企业参与需求响应的潜力与储料箱容量比例的关系,为进一步研究装配企业参与需求响应提供了思路。

There is much research on the demand response technology,but mainly concentrated in smart home appliances and intelligent buildings. Since the electricity consumption of industrial enterprises possess a very high proportion in social electricity consumption,if the demand response potential of these enterprises can be taken full advantage,it may play an important role for balancing the grid power and enhancing the competitiveness of enterprises. Production models of manufacturing and assembling enterprises are constructed in this paper. At the same time,an automatic demand response algorithm is designed on the basis of mixed integer linear programming to maximize the profit of the manufacturers. In a case study of a battery manufacturing plant,the proposed algorithm automatically meets the needs of the grid as well as increasing the manufacturer＇s profits. And the superiority of the algorithm is specifically demonstrated through three scenarios,including peak valley price,demand side bid,new energy consumption（ wind power suppression）. In addition,it describes the relationship between the potential of the assembly enterprises to participate in the demand response and the proportion of the storage tank capacity,and provides the idea for the further research of the assembly enterprise to participate in the demand response.