A park
energy storage optimal configuration method based on a profit and loss
equilibrium point electricity price comprises the following steps: A, selecting a latest 1-2 year spot market day price curve, clustering the curve into K
electricity price curves by using a K-means clustering
algorithm, and solving an
energy storage support production price-
time table in combination with the park profit and loss
equilibrium point electricity price; b, on the basis of the park production curve, the
renewable energy output curve and the K
electricity price curves obtained in the step A, a first-class
daily production insufficiency curve, an original capacity excess curve and a second-class production insufficiency curve of the park are obtained; c, by taking the original excess capacity curve and the second type of production insufficiency curve as constraints, calculating the
energy storage charge and discharge quantity under any given energy storage installation capacity / electric quantity, and solving the corrected second type of production insufficiency curve; and D, the energy storage
discharge electricity price is calculated, the energy storage capacity step length is set to iteratively solve the energy storage optimal installation capacity, and the iteration termination condition is that the energy storage
discharge electricity price is equal to the profit and
loss balance point electricity price or the electricity quantity corresponding to the K corrected second type of production insufficiency curves is zero. The core of the method is that the technical (abandoned
energy consumption) and economic (
cost recovery) targets are closely combined through the profit and loss
equilibrium point electricity price, and the solution of an optimal solution is realized by utilizing clustering analysis, curve construction,
charge and discharge simulation and iterative calculation. The method aims to help a park investor to effectively utilize
renewable energy sources to reduce waste and guarantee the
economic feasibility of energy storage investment when deploying energy storage.