Dual-objective optimal scheduling of grid-connected distributed photovoltaic systems considering life loss cost of energy storage

Abstract

Abstract Large-scale distributed photovoltaic (PV) connected to the grid brings great risk to the safety operation. Measures of cutting PV to reduce active power input are widely taken to stabilize the voltage during periods of large PV output, resulting in energy waste and economic losses for PV operators. To reduce PV cutting, energy storage (ES) units are considered to be applied to the distribution system with the cost of the ES operating model and the cost of the life loss model. Then, based on the Distflow model of power transmission constraint, a two-objective optimization model, including the minimum of comprehensive operating cost and the active power reduction by cutting PV is established. Lastly, to select a compromise solution, the linear membership function is used to search for the maximum satisfaction scheme from the Pareto solution set. The simulation of the IEEE 33-nodes example verifies the effectiveness of the proposed two-objective optimization model. Pareto solution sets with different weight coefficients provide a reference for decision makers and the maximum satisfaction scheme based on the linear membership function is a compromise solution of double objective function. The balance of the two strategies is realized while the voltage is not exceeded.