Abstract

The resiliency of power systems can be enhanced during emergency situations by using microgrids, due to their capability to supply local loads. However, precise prediction of disturbance events is very difficult rather the occurrence probability can be expressed as, high, medium, or low, etc. Therefore, a fuzzy logic-based battery energy storage system (BESS) operation controller is proposed in this study. In addition to BESS state-of-charge and market price signals, event occurrence probability is taken as crisp input for the BESS operation controller. After assessing the membership levels of all the three inputs, BESS operation controller decides the operation mode (subservient or resilient) of BESS units. In subservient mode, BESS is fully controlled by an energy management system (EMS) while in the case of resilient mode, the EMS follows the commands of the BESS operation controller for scheduling BESS units. Therefore, the proposed hybrid microgrid model can operate in normal, resilient, and emergency modes with the respective objective functions and scheduling horizons. Due to the consideration of resilient mode, load curtailment can be reduced during emergency operation periods. Numerical simulations have demonstrated the effectiveness of the proposed strategy for enhancing the resiliency of hybrid microgrids.

Highlights

  • The capability of the microgrids to improve the power system resiliency via local supply of loads and reduction in load curtailment, during emergency situations, is considered as one of the complementary benefits of microgrids [1]

  • The battery energy storage system (BESS) is fully controlled by the energy management system (EMS) while in resilient mode the EMS follows the commands of the BESS operation controller for scheduling BESS units

  • Fuzzy logic-based BESS operation controller is proposed for determining the operation mode of BESS units

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Summary

Introduction

The capability of the microgrids to improve the power system resiliency via local supply of loads and reduction in load curtailment, during emergency situations, is considered as one of the complementary benefits of microgrids [1]. Fuzzy logic-based studies considering uncertain nature of disturbance events in microgrids are limited. A fuzzy logic-based BESS operation controller is proposed for controlling the operation mode of BESS units. In addition to normal and emergency modes of microgrids, an additional mode (resilient mode) is suggested in this study to ensure the survivability of critical loads during disturbance intervals. Two operation modes (subservient and resilient) have been suggested for the BESS units to minimize the operation cost and to prepare the microgrid for feasible islanding. The remaining paper is organized as follows: the Introduction section is followed by the explanation of the proposed fuzzy logic-based algorithm for operation of BESS units. Due to above-mentioned merits, a hybrid AC/DC microgrid is considered in this study

System Configuration
Interaction between the EMS and the BESS Operation Controller
Problem Formulation
Objective
Constraints for Controllable Generators
Battery Constraints
Objective Function
Other Constraints
Emergency Mode
Load Balancing Constraints
Numerical Simulations
Input Parameters
In input membership membership functions functionsofofthe
Control
Normal
12. Operation
Emergency Operation Mode
Emergency
14. Operation resultsof of conventional conventional case:
15. Operation results of proposed strategy:
Findings
Conclusions
Full Text
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