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Research on Cold Storage Multi-objective Optimal Operation with Photovoltaic Power Generation

Bo Hu 1, Tao Wang 1, Penghui Li 1, Fei Qu 1, Chaonan Ji 1, Liang Kong 2, Heng Du 1, and Haiyang Wang 1
1. State Grid Huludao Electric Power Supply Company, Huludao, China
2. Northeastern University, Shenyang, China

Abstract—As the total amount of cold storage increasing year by year, the disorderly access of heavy power load will make the power grid peak and valley difference increase. At the same time, the high operating cost will also increase the burden of users, so the optimal operation of the cold storage is crucial. Based on the TOU price policy, the optimal operation model of cold storage is established with the objective function of minimizing the operating cost and the load power variance. The optimal operation strategy of cold storage is solved by membership function and particle swarm algorithm, and the load and start of cold storage are calculated according to the 0-1 knapsack algorithm. The influence of different price on the operation strategy is analyzed. Making a garlic market in Henan as example analysis, shows the results that considering the PV and TOU case, optimal control strategy to reduce operating costs and power grid peak valley difference has obvious advantages, in which the cost saving rate in cold season and boom season are 199.4% and 92.6% respectively.

Index Terms—cold storage, operating costs, load variance, particle swarm optimization

Cite: Bo Hu, Tao Wang, Penghui Li, Fei Qu, Chaonan Ji, Liang Kong, Heng Du, and Haiyang Wang, "Research on Cold Storage Multi-objective Optimal Operation with Photovoltaic Power Generation," International Journal of Electrical Energy, Vol. 5, No. 2, pp. 101-105, December 2017. doi: 10.18178/ijoee.5.2.101-105

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