Aiming at the problems of energy storage batteries’ poor economic efficiency and limited scale development at present, this paper proposes a profit model optimization strategy based on Tabu search algorithm. Firstly, the differences among energy storage technology’s different investors and the electricity price mechanism are analyzed. On this basis, a profit model considering the net load and electricity price mechanism is designed for the user side or third party investors. Then, to maximize the daily profit of energy storage battery, an optimization model of energy storage profit model is established, and the Tabu search algorithm is applied to solve the battery’s charge and discharge power. Finally, the economic benefits of profit model and traditional operation model are compared by examples, the results show that the profit model proposed in this paper is more economical. This work is supported by Fundamental Research Funds for the Central Universities (No. 2018JQ01), National Key Research and Development Program of China (No. 2018YFB0904003) and Key Program of Power China’s Ministry of Science and Technology (No. KJ-2017-100).