Cyprus wind power storage multi-energy complementary

What is a multi-energy complementary power generation system?

The multi-energy complementary power generation system, incorporating wind, solar, thermal, and storage energy sources, plays a crucial role in facilitating the coexistence and mutual reinforcement of conventional thermal power and renewable energy.

Can a wind-PV-storage complementary power generation system be optimized?

The paper establishes a two-layer optimization model and concludes that the optimized configuration scheme for a wind-PV-storage complementary power generation system has an installed capacity of 470 MW for wind power, 430 MW for photovoltaic (PV), and a storage configuration of 40 MW×3 h. The data for other schemes can be found in Table 3.

Can a multi-energy complementary system use different types of power resources?

Finally, case study is conducted on a revised IEEE 30 node system. Simulation results demonstrate that the proposed method can fully utilize the characteristics of different kinds of power resources to consume renewable energy and enhance the safety and economy of the multi-energy complementary system.

What is the power output of a wind-PV complementary system?

Power output of the wind-PV complementary system under different scenarios (Scheme 1). It is worth noting that in the wind and PV complementary system, the WT (60 MW) are all involved in the complementation, while the involved PVA is only 11 MW-17 MW, and the remaining PV 91 MW-97 MW will engage in the subsequent hydro-PV complementation.

What is a multi-energy complementary scheme?

In the proposed multi-energy complementary schemes, both hydro and wind power are involved in the dispatch of the system, while PV still has some spare capacity that needs to be dispatched through other storage methods. In comparison, Scheme 1 has the least remaining PV capacity.

What is the optimal configuration of multi-energy complementary power generation?

The mode considers carbon quota, CO 2 emission, and the output of wind and solar storage systems. The optimal configuration of multi-energy complementary power generation is explored using the particle swarm algorithm. The objective functions are to minimize CO 2 emission and maximize the economic benefit of coordinated power generation.