Wind and solar energy storage optimization

Why do wind power systems need interseasonal energy storage?

Consequently, wind power systems will face a greater demand for interseasonal energy storage. Given the constraints of coupling with chemical systems, stable power generation throughout the year is the optimal choice, as it can significantly reduce the investment required for expensive energy storage systems.

How does wind power affect energy storage systems?

Since wind power can still provide some electricity output at night, it effectively compensates for the inability of PV systems to generate power during this period. This significantly reduces the operational duration of energy storage systems and enhances the overall stability of the hybrid system. Fig. 10.

Can wind & solar energy storage be used in a power system?

At present, although the complementary technology of wind and solar energy storage has been studied and applied to a certain extent in the power system, most research focuses on the optimization scheduling of a single energy source or simple combination of multiple energy sources.

How to optimize the complementary wind and solar energy storage?

When optimizing the complementary wind and solar energy storage, cone optimization method is needed. The second-order cone programming model used is essentially a norm cone problem, represented by Eq. (8). In Eq. (8), the last digit of the sequence is t. I represents the identity matrix.

What is a wind solar energy storage DN model?

The proposed wind solar energy storage DN model and algorithm were validated using an IEEE-33 node system. The system integrated wind power, photovoltaic, and energy storage devices to form a complex nonlinear problem, which was solved using Particle Swarm Optimization (PSO) algorithm.

What is the integration rate of wind and solar power?

The integration rates of wind and solar power are 64.37 % and 77.25 %, respectively, which represent an increase of 30.71 % and 25.98 % over the MOPSO algorithm. The system's total clean energy supply reaches 94.1 %, offering a novel approach for the storage and utilization of clean energy. 1. Introduction