Abstract

The analysis and application of hybrid energy storage systems (HESSs) in small-scale standalone microgrids for remote area power supply (RAPS) has received extensive attention. This application mode has its own characteristics which must be considered but have not been considered in the existing research. To reflect the common satisfaction of load demands and maximize the utilization of renewable energy in a standalone microgrid, a new index named effective rate of energy storage system (ESS) is proposed. To reflect the true work state of supercapacitor ESS (SC-ESS), the second-level data of field measurements is used in calculation and analysis. To further enhance the operational performance of the HESS, a coordinated control strategy based on state cooperation is adopted. To get a more reasonable and more credible HESS optimization model, the comparison of existing models and proposed model with different considerations on cost and life is provided. In addition, a comparative analysis of technical and economic characteristics improvements is presented for different ESS application schemes in practical projects.

Highlights

  • The utilization of renewable energy sources, such as wind-turbine power generation (WT), photovoltaic power generation (PV), etc., can effectively alleviate the increasingly serious problems of energy crisis and environmental pollution

  • The sum of capital cost and balancing cost is the objective function of the total cost optimization in a WT independent system described in [23], and the results show that hybrid energy storage systems (HESSs) is better than storage system (SESS)

  • This indicates that the initial investment cost is increased because of a newly increased SC-energy storage system (ESS), but the total loss of ESSs demanded by a standalone microgrid is effectively reduced in unit time, so the technical and economic characteristics are much better than SESS

Read more

Summary

Introduction

The utilization of renewable energy sources, such as wind-turbine power generation (WT), photovoltaic power generation (PV), etc., can effectively alleviate the increasingly serious problems of energy crisis and environmental pollution. There are still some remote areas not suitable for independently getting their power supply from large power grids or small conventional power generators due to economic, environmental and other factors These areas are often rich in wind energy and solar energy which can be used as distributed generation and to constitute a small standalone RAPS system [1,2]. The typical HESS, which consists of lithium-ion battery ESS (LB-ESS) and SC-ESS, is commonly used in RASP systems [11,12,13,14,15,16,17] The parameters such as power rating and storage capacity of each sub-ESS, which can directly affect the overall technical and economic characteristics of HESS, should be optimized. Research on HESS optimization of independent microgrids should be focused on HESS control strategy, data interval, cost consideration factors, energy storage life quantization and. Optimization models are established to reflect the impact of HESS optimization without a comprehensive consideration of cost and life, and to analyze the merits of common ESS application schemes in practical projects

System Structure of a Standalone Microgrid for RAPS
The Proposed Index Named ESS Effective Rate
The Basic Control Strategy Considering Power Allocation Only
The Coordinated Control Strategy Based on State Cooperation
Cost Calculation and Life Quantification of HESS
Initial Investment Cost of HESS
Life Quantification and Loss Equivalent Cost of Storage Arrays in LB-ESS
Overall Life Quantification and Total Loss Equivalent Cost of HESS
Impact Analysis Models of Different Cost and Life Considerations
Comparative Analysis Models of ESSs under Different Application Schemes
SESS Used Only
System Demand and ESS Parameters
Comparison of HESS Operation under Different Control Strategies
Comparative Analysis Based on Different Cost and Life Considerations
Comparative Analysis Based on Different ESS Application Schemes
Findings
Conclusions
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.