Energy Management in Microgrid with Battery Storage System

A microgrid (MG) systemEnergy management isBattery storage system an innovative approach to integrating different types of energyEnergy resources and managing the whole system optimally. Considered microgrid systems knit together diesel generatorsDiesel generator, wind turbinesWind turbine, fuel cellsFuel cells, and battery storage systemsBattery storage system. Two optimizationOptimization problems are formulated; the first one is the single objective problem that aims to minimize the total operationOperation cost. The second problem is multi-objectiveMulti-objective containing cost and emission both in the objective functionObjective function. A population-basedPopulation based Jaya algorithmJaya algorithm embedded with a chaoticChaotic map is employed to manage the two MG problems optimally. For a single objective microgrid system obtained results by chaoticChaotic Jaya (Ch-JAYA) are validated by comparison with reported results using another algorithmAlgorithms such as the Cuckoo Search AlgorithmAlgorithms (CSA), Spotted hyena and Emperor penguin optimizer (SHEPO), and Manta ray foraging optimizationOptimization (MRFO). As the results of the multi-objectiveMulti-objective microgrid (MOMG) system considered for analysisAnalysis are not reported yet, therefore for validation purposes this system is implemented and analyzed one by one using Ch-JAYA, JAYA, Particles swarm optimizationOptimization (PSO), and Differential Evolution (DE). The impact of battery storage systemsBattery storage system on operational costs and emitted emissions are also analyzed over 24 h a day. By comparison of results with and without integration of a battery storage systemBattery storage system, it is observed that the total operational cost is reduced in both single and MOMG systems, and pollutant emissions are decreased significantly due to the integration of a wind turbineWind turbine and a battery storage systemBattery storage system in MOMG system.