Abstract

Many rural communities in western China use renewable energy-based clean energy supply methods, and the community microgrid system of “photovoltaic + energy storage + electric heating” has been widely used. However, the energy management effect of such a typical rural community microgrid system is not very satisfactory. Aiming at the problem of the comprehensive economic operation of the microgrid system in rural communities, a method for optimizing the operation strategy parameters of typical operating scenarios is proposed, and critical parameters of the real-time energy management strategy of the microgrid system are optimized. Through the evaluation of the annual time-scale simulation results, it is proved that the proposed strategy can improve the comprehensive economic benefits of the operation of the rural community microgrid system (comprehensive economic benefits include electricity bills and energy storage system (ESS) life loss). Relying on the actual community microgrid demonstration project system in western China, a community-level microgrid energy management monitoring system is built. The control strategy proposed in this paper is applied to the demonstration system for experimental verification. The operational data of the demonstration system shows that the proposed method is feasible and effective.

Highlights

  • In recent years, with the rapid development of China’s economy, energy consumption has increased, and traditional energy sources have faced huge challenges

  • This paper mainly studies the comprehensive economic optimization of rural community microgrid systems, proposes a real-time control strategy considering the cost of the energy storage system (ESS), and adds a priority charging strategy to increase the energy storage life, thereby realizing the real-time optimization control of the community microgrid system

  • As can be seen from the program flow chart of the energy management strategy, the control strategy first calculates the margin between photovoltaic power generation and load power consumption

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Summary

Introduction

2. The community includes aa typical typical community community microgrid microgrid system, system, aa public public building building sub-microgrid sub-microgrid system, system, community includes aa family sub-microgrid system, a rooftop photovoltaic installation capacity of kW, a container-type family sub-microgrid system, a rooftop photovoltaic installation capacity of 100 kW, a container100. Photographs of key equipment in the microgrid system aresystem shownare in loadcommunity in the community about kW. Photographs of key equipment in the microgrid. Sci. 2020, 10, 2730 25, including rooftop photovoltaics, energy storage batteries, electric heating shown in Figure facilities, air-source heat pumps, and monitoring systems

System Structure
Mathematical Model of Control Strategy
Energy
Simulation
Simulation Results and Analysis
According
Parameter Optimization Method Based on PSO
Multi-Scenario Variable Parameter Optimization
Waveforms of Scene
PSO curves of Scene
14. Waveforms
16. The of and
17. Waveforms
One-Year
20. Simulation
21. Comprehensive
Optimal
23. Variable
25. Photos
Analysis of Running Effect and Experimental Waveform
29. Experimental
30. Experimental
Conclusions

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