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

doi:10.3969/j.issn.1000－7229.2018.09.001

Abstract

Abstract: 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.

Key words: demand response, mixed integer linear programming（MILP）, manufacturing assembly plant

CLC Number:

TM 734

QI Bing, XIA Yan, LI Bin, LI Dezhi, CUI Gaoying. Scheduling Strategy Based on MILP for Assembly Enterprises Participating in Demand Response[J]. Electric Power Construction, 2018, 39(9): 1-8.

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