| Name: | Zahoor Ahmed |
| Affiliation: | BHABHA ATOMIC RESEARCH CENTRE |
| Conference ID : | ASI2024_16 |
| Title : | Optimal Power Flow Management of standalone off grid PV based 240kW battery banks for operation of Gamma Ray MACE Telescope. |
| Authors : | Zahoor Ahmed (A1), T. Rinchen (B1), S. Norlha(B2), Keshva Nand (B3), D. Sarkar (C1), N. Chouhan (D1), K.K. Yadav (D2) |
| Authors Affiliation: | Zahoor Ahmed (A), T. Rinchen (B), S. Norlha(B), Keshva Nand (B), D. Sarkar (C), N. Chauhan (D), K.K. Yadav (D) ( Bhabha Atomic Research Centre, Mumbai-400085) |
| Mode of Presentation: | Poster |
| Abstract Category : | Facilities, Technologies and Data science |
| Abstract : | This paper presents an optimal energy management model of PV based battery power supply system for off-grid applications. The aim is to meet the load demand completely while satisfying the system constraints. The proposed model minimizes battery wear costs and finds the optimal power flow, taking into account battery bank state of charge and load power demand. Typically, a sequential method with two steps—forecasting and optimization—is used to derive judgments from data. For achieving this goal, optimized power flow is focused in this paper through load forecasting, and optimization of power forecasting. Firstly, load forecasting is implemented using time series and weather-related information for the routine night observations. Then, the particle swarm optimization algorithm is used to solve the multi-objective power flow optimization model, and the optimal strategy and objective function values of each unit output in the operation period are obtained. An improved control of energy flow based on a State-of Charge battery power estimation technique using the Coulomb counting method. By accurately estimating the available power from the batteries using the State-of-Charge technique, the proposed technique is able to determine and assess the power output (VPC) from battery banks modules and accordingly meet the load demand. The proposed method also eliminates the need for DC bus voltage level-based approaches to charge or discharge the batteries with the advantages of the significant reduction in DC bus voltage variations. The results show that it provides satisfactory control performance to meet the load demand. The proposed approach ensures that the load consistently receives the required power, and battery bank power is used only when the estimated combined power from the photovoltaic units and batteries is under the load demand power. |
