Multi-energy complementary energy storage power station ems control system

What is a multi-energy complementary power system?

Abstract: For a multi-energy complementary power system containing wind power, photovoltaic, concentrating solar power and electric/thermal/hydrogen multi-type energy storage, the coordinated and optimal allocation of the capacity of various types of energy storage devices is important to improve the system operation economy and cleanliness.

Can energy management systems manage a standalone hybrid power System (HPS)?

This study proposes an energy management system (EMS) to manage a standalone hybrid power system (HPS) comprising solar photovoltaic (PV), proton exchange membrane fuel cell (PEMFC), and a battery energy storage. The battery and a hydrogen storage system in PEMFC provide short- and long-term electricity storage, respectively.

What is adaptive multi-energy storage coordinated optimization?

Aiming at the over-charge/discharge, an adaptive multi-energy storage coordinated optimization method is proposed. The power allocation is based on the chargeable/dischargeable capacity and limit power. A black-start model of multiple wind power and energy storage system model is established.

Does China need a multi-energy Complementation system?

Considering the issues of energy supply and environmental protection, clean energy has become the strategic basis for China’s development. So, the multi-energy complementation (MEC) comprehensive energy system has gradually been widely used (Nguyen and Huynh 2019).

Is EMS a viable alternative to the existing power system?

The results show the superior performance of the proposed EMS. To prove the practicality of the proposed standalone HPS, the system has been tested for 24 h, and the responses are found to be satisfactory. Finally, the economic analysis of the system has been performed using Homer pro. HPS is an economical alternative for the existing power system.

Is multi-energy complementarity based on demand response?

In the study, multi-energy complementarity is considered, based on demand response, and a Multi-energy Complementation (MEC) optimal dispatch model is established based on Conditional value at risk (CVaR), and finally the energy system optimal dispatch test simulation evaluation under different circumstances is carried out.