Multi-objective optimization of energy storage capacity configuration

What is the capacity configuration optimization model?

Zhang et al. built a capacity configuration optimization model of hydropower, photovoltaic and wind power generation system with the goal of maximizing the net present value .

Is a CWSS capacity configuration a multi-objective optimization model?

A multi-objective optimization model for capacity configuration of a CWSS is presented, and its Pareto front is obtained by NSGA-II. Then MABAC evaluation method is used to score the alternatives on the Pareto optimal front. To ensure that alternatives are fully evaluated, this paper innovatively sets the weights in the MABAC method to be variable.

Why is capacity optimization important in integrated energy system?

Capacity optimization is an important part of the integrated energy system, which is directly related to economy and stability . And capacity configuration is closely related to the input side and output side mentioned above. The multi-energy system in IES has a complementary coupling relationship between different energy sources.

How accurate is capacity configuration optimization of energy storage in microgrids?

Zeqing Zhang; Capacity configuration optimization of energy storage for microgrids considering source–load prediction uncertainty and demand response. 1 November 2023; 15 (6): 064102. The fluctuation of renewable energy resources and the uncertainty of demand-side loads affect the accuracy of the configuration of energy storage (ES) in microgrids.

Is there a multi-objective capacity optimization model based on economic and environmental factors?

Meanwhile, a multi-objective capacity optimization model considering economic and environmental factors is proposed. Based on the multi-objective optimization model, the Pareto frontier set of multi-objective problem is obtained by NSGA-II method and selected by TOPSIS method.

What are the optimization objectives of a multi-objective function?

The optimization objectives include minimizing power quality, power supply reliability, and energy storage investment cost. Initially, the multi-objective function is judged to be linearly weighted using the interval analytic hierarchy process entropy weight method, transforming it into a single objective function.