Abstract

In this paper, a hierarchical optimal operation strategy for a hybrid energy storage system (HESS) is proposed, which is suitable to be utilized in distribution networks (DNs) with high photovoltaic (PV) penetration to achieve PV power smoothing, voltage regulation and price arbitrage. Firstly, a fuzzy-logic based variable step-size control strategy for an ultracapacitor (UC) with the improvement of the lifetime of UC and tracking performance is adopted to smooth PV power fluctuations. The impact of PV forecasting errors is eliminated by adjusting the UC power in real time. Secondly, a coordinated control strategy, which includes centralized and local controls, is proposed for lithium-ion batteries. The centralized control is structured to determine the optimal battery unit for voltage regulation or price arbitrage according to lithium-ion battery performance indices. A modified lithium-ion battery aging model with better accuracy is proposed and the coupling relationship between the lifetime and the effective capacity is also considered. Additionally, the local control of the selected lithium-ion battery unit determines the charging/discharging power. A case study is used to validate the operation strategy and the results show that the lifetime equilibrium among different lithium-ion battery units can be achieved using the proposed strategy.

Highlights

  • Due to the global energy crisis and environmental concerns, the installed capacity of photovoltaics (PVs) in distribution networks (DNs) is increasing rapidly

  • In the coordinated control for lithium-ion battery, centralized control selects the optimal battery unit to perform voltage regulation or price arbitrage according to evaluation matrix considering battery performance indices such as State of Charge (SOC), charging/discharging power, remaining lifetime, voltage sensitivity factor (VSF), and voltage cost sensitivity factor (VCSF)

  • In real-time operation, when the actual value of PV power is larger than the forecast value, the voltage may exceed the upper limit if the UC power remains at the value given by a PV power smoothing strategy based on PV forecasting data

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Summary

Introduction

Due to the global energy crisis and environmental concerns, the installed capacity of photovoltaics (PVs) in distribution networks (DNs) is increasing rapidly. In [25], the authors propose a semi-empirical lithium-ion battery degradation model by combining some fundamental theories of the battery degradation with battery aging test results These studies provide a good reference and facilitate the performance improvements of the operation strategy. A rule-based hierarchical operation strategy of HESS, including lithium-ion batteries and UCs, for PV power smoothing, voltage regulation, and price arbitrage is proposed. In the coordinated control for lithium-ion battery, centralized control selects the optimal battery unit to perform voltage regulation or price arbitrage according to evaluation matrix considering battery performance indices such as State of Charge (SOC), charging/discharging power, remaining lifetime, voltage sensitivity factor (VSF), and voltage cost sensitivity factor (VCSF). A multi-objectives hierarchical operation strategy with consideration of PV power smoothing, voltage regulation, and price arbitrage is proposed, which can improve the effectiveness of utilizing HESS.

Mathematical Models
Lithium-Ion
General
Voltage Control Indicator
HESS Profit
Proposed Operation Strategy
UC Control Strategy
PV Power Smoothing
Real-Time Adjustment
Lithium-Ion Battery Control Strategy
Voltage Regulation
Price Arbitrage
According
Network
4: The control strategy of HESS is identical with
Case 2
Case 3
Case 5
Conclusions
Full Text
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