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

Bo Hu, Tao Wang, Penghui Li, Fei Qu, Chao Ji, Liang Kong, Heng Du, Hai-yan Wang
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引用次数: 1

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. 1
光伏发电冷库多目标优化运行研究
随着冷库总量的逐年增加,重负荷的无序接入将使电网峰谷差增大。同时,高昂的运行成本也会增加用户的负担,因此冷库的优化运行至关重要。基于分时电价政策,以运行成本和负荷方差最小为目标函数,建立了冷库最优运行模型。采用隶属函数和粒子群算法求解冷库的最优运行策略,根据0-1背包算法计算冷库的负载和启动。分析了不同价格对运营策略的影响。以河南省某大蒜市场为例进行分析,结果表明,考虑光伏和分时电价的情况下,降低运行成本和电网峰谷差的最优控制策略具有明显优势,其中冷季和景气季成本节约率分别为199.4%和92.6%。1
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