Abstract: With the rapid development of renewable energy and the continuous maturity of electricity substitution technologies for agricultural machinery, the electrification and low-carbon of energy supply systems in agricultural industrial parks have become a development trend. Considering the spatiotemporal matching characteristics between local renewable energy and load, this paper studies the optimal planning of decentralized energy storage systems in agricultural industrial parks. Taking into account the timeof-use price and carbon emission price, the concept of "equivalent price" is proposed, which helps to improve the carbon reduction efficiency of agricultural industrial parks while achieving peak-valley arbitrage. Aiming at investment and maintenance costs, carbon reduction benefits, and peak-valley arbitrage benefits, an optimal allocation model of decentralized energy storage system considering typical operational simulation is established. The allocation of decentralized energy storage is optimized in three scenarios: only considering the time-of-use price, two prices with consistent changes, and two prices with opposite changes. The impact of the changing trends of the two time-varying prices on the allocation of energy storage is analyzed. The results of the example show that by utilizing the "equivalent price" to formulate charging and discharging strategies of the energy storage system can reduce farm electricity costs and achieve carbon reduction goals; When the trend of time-of-use price and carbon emission price curve is the same,allocating energy storage can achieve higher economic benefits.