Energy management strategy of battery in isolated micro-grid based on state of charge(SOC)
Through the research on modeling and SOC estimation of the battery in the isolated Micro-grid, the behavior characteristics of the battery was analyzed under normal and stable operation, and further more, the condition was determined to guarantee the stability of system based on SOC of the battery. Under the premise of stable operation, a control strategy was put forward based on SOC to adjust the battery charging or discharging. The simulation shows that, compared with the system under traditional control strategy, the security and reliability of the power system is improved evidently. Keywords-Battery SOC Estimation Micro Grid Matlab/Simulink Simulation
A comprehensive MPC based energy management framework for isolated microgrids
Isolated regions and remote islands are facing problems such as imported fossil-fuel dependency, increasing electricity prices, and low electricity quality. Isolated microgrids technologies which integrate large scale of renewable energy resources, energy storages, flexible loads, traditional fossil-fuel generators and advanced electric electrical devices have been seen as the answer the above problems. In addition, a closed-loop based energy management operation framework is needed to accommodate the fluctuated renewable energy generation with a comprehensive energy management optimization strategy considering integer variables/discrete constraints and complex operation constraints in generators and energy storage models. To this end, this paper proposed a model predictive control (MPC) based energy management and operation framework for isolated microgrids where the optimal energy management for the microgrid is formulated as a mixed integer quadratic programming problem (MIQP). Numerical results demonstrate the effectiveness of our approach.
Design Fundamentals of High Power Density, Pulsed Discharge, Lead‐Acid Batteries II . Modeling
Two time-dependent, one dimensional mathematical models of lead-acid cells have been solved to help understand the pulsed discharge behavior (0.002 second discharge) of thin cells. One model considered only the outer (cross-sectional) surface area of the electrodes; the other assumed that only the surface area internal to the porous electrodes contributed significantly. The porous electrode model was a macroscopic model which ignored the concentration gradients within the microscopic electrode pores. it was found that the model which considered the outer surface area more accurately predicted experimentally observed behavior during the initial 0.0001 s of discharge. When the porous electrode model was altered to include acid concentration variations within the electrode pores, it also predicted the behavior of experimental cells during this initial 0.001 s of discharge. The effects of delayed PbSO{sub 4} precipitation were also included in the porous electrode model. When this was done, the model successfully predicted the shape of discharge curves from experimental cells for longer time periods.