A Control Strategy for Energy Cost Reduction, Peak Shaving and Power Factor Correction Using Batteries

Due to the continuous increase in demand and electricity prices, consumers are increasingly aware of the importance of solar panels and batteries in their homes. However, the good management of their energy remains a challenge that reduces the benefits of these installations. In this chapter, we seek to use batteries efficiently to reduce the cost and shave the peak of energy consumption while correcting the power factor. The latter is defined as the ratio of active (i.e., “useful”) power absorbed by the loads to the apparent power flowing in the circuit. First, we formulate our non-convex multi-objective optimization model. Then we solve it using the McCormick relaxation technique. Experimental validation is performed in Matlab. The simulation results show a reduction in both the cost (24%) and the peak as well as an improvement in the power factor.