2020/04/20 by S. Massucco, Massucco, Stefano, Paola Pongiglione +7
Engineering · #FOS: Electrical engineering #Microgrid Control and Optimization #Optimal Power Flow Distribution #Smart Grid Energy Management #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2004.09146
openalex publication_date 2020/04/20 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
This paper presents a method to determine the optimal location, energy\ncapacity, and power rating of distributed battery energy storage systems at\nmultiple voltage levels to accomplish grid control and reserve provision. We\nmodel operational scenarios at a one-hour resolution, where deviations of\nstochastic loads and renewable generation (modeled through scenarios) from a\nday-ahead unit commitment and violations of grid constraints are compensated by\neither dispatchable power plants (conventional reserves) or injections from\nbattery energy storage systems. By plugging-in costs of conventional reserves\nand capital costs of converter power ratings and energy storage capacity, the\nmodel is able to derive requirements for storage deployment that achieve the\ntechnical-economical optimum of the problem. The method leverages an efficient\nlinearized formulation of the grid constraints of both the HV (High Voltage)\nand MV (Medium Voltage) grids while still retaining fundamental modeling\naspects of the power system (such as transmission losses, effect of reactive\npower, OLTC at the MV/HV interface, unideal efficiency of battery energy\nstorage systems) and models of conventional generator. A proof-of-concept by\nsimulations is provided with the IEEE 9-bus system coupled with the CIGRE'\nbenchmark system for MV grids, realistic costs of power reserves, active power\nrating and energy capacity of batteries, and load and renewable generation\nprofile from real measurements.\n