Abstract

This study presents a bi-level framework to obtain optimal energy management of electrical energy storage (EES) units in power systems by minimizing the operation cost of the system to satisfy daily demand and by maximizing the benefit of storage units' owner. Two agents are considered consisting of the power system operator and the owner of EES units. The former seeks to determine the minimum operation cost of the system in providing the system load, while the latter seeks to provide its maximum profit. The power system operator has the option to supply energy by the thermal generation plants or from the storage units. The proposed bi-level model provides optimal operation strategies for both the EES owner in the outer level and the power system operator in the inner one. In other words, the decision making of the power system operator is taken into account explicitly in optimal charge/discharge scheduling of EES owner in the introduced bi-level framework. The introduced bi-level approach is applied to the IEEE RTS 24-bus network in order to assess the performance of the model.

Highlights

  • The electrical energy storage (EES) systems have encountered substantial challenges in recent years considering the increased electricity demand and restrictions of such systems with a limited investment in network transmission expansion

  • A bi-level strategy is proposed for optimal operation of energy storage units in power systems, which minimizes the cost of the system satisfying daily power load and maximizes the benefit of storage units' owner

  • This study introduced a bi-level optimization model for obtaining optimal energy management of electrical energy networks, where the power system operator can select to meet the load demand by generators or from energy storage units

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Summary

Active power generation of the wth wind

Pdisc s,i (t )Power located charge/discharge at the ith bus in the of the sth tth time (MW). Energy storage of the sth EES located at the ith bus in the tth time (MWh) bc s,i bdisc s,i. Binary variable operation of the for charging/ sth EES located discharging at the ith bus in the tth time si (t). (i,t) / (i,t) Dual variable for active/ reactive power balance constraint of the system at bus i in time t

INTRODUCTION
Nt Ns
TABLE II WTS FUNCTIONAL DATA
CONCLUSION
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