Ratio of solar container devices in wind power projects

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.

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.

What is the maximum wind and solar installed capacity?

The results indicate that a wind-solar ratio of around 1.25:1, with wind power installed capacity of 2350 MW and photovoltaic installed capacity of 1898 MW, results in maximum wind and solar installed capacity. Furthermore, installed capacity increases with increasing wind and solar curtailment rates and loss-of-load probabilities.

How to optimize wind and solar energy integration?

The optimization uses a particle swarm algorithm to obtain wind and solar energy integration's optimal ratio and capacity configuration. The results indicate that a wind-solar ratio of around 1.25:1, with wind power installed capacity of 2350 MW and photovoltaic installed capacity of 1898 MW, results in maximum wind and solar installed capacity.

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 the maximum integration capacity of wind and solar power?

At this ratio, the maximum wind-solar integration capacity reaches 3938.63 MW, with a curtailment rate of wind and solar power kept below 3 % and a loss of load probability maintained at 0 %. Furthermore, under varying loss of load probabilities, the total integration capacity of wind and solar power increases significantly.