Modeling the influence of electric load curve indicators on storage system capacity in hybrid power system

In modern conditions, the key direction of ensuring the energy security of critical infrastructure facilities is associated with the use of local generation sources combined with battery energy storage systems into hybrid power systems. An urgent problem in the design of such systems is the determination of their optimal parameters, including the nominal capacity of storage system. Methods from guidance documents or scientific methods based on dynamic programming, genetic algorithms, and others can be used to solve these problems. There is no unified approach to calculating the energy capacity of storage systems. The paper deals with a hybrid power system based on a fuel cell. The purpose of the work and its scientific contribution is to study the influence of the type and characteristics of consumer electrical load curves on the nominal capacity of the storage system for a hybrid power system with a fuel cell operating in a constant power mode. An algorithm for determination the energy capacity of batteries based on consumer electrical load curves specified with a certain discretization has been developed. The criteria for choosing the nominal capacity of batteries are: maximum discharge current, peak coverage and the sum of load peaks coverage, charge level. The algorithm is implemented in MS Excel, and the collection and analysis of the obtained results is automated using Python. The dependences of the energy capacity of lithium iron phosphate batteries on the indicators of the electric load curve were obtained for a hybrid power system with a fuel cell.