Abstract
The capacity of an energy storage device configuration not only affects the economic operation of a microgrid, but also affects the power supply’s reliability. An isolated microgrid is considered with typical loads, renewable energy resources, and a hybrid energy storage system (HESS) composed of batteries and ultracapacitors in this paper. A quantum-behaved particle swarm optimization (QPSO) algorithm that optimizes the HESS capacity is used. Based on the respective power compensation capabilities of ultracapacitors and batteries, a rational energy scheduling strategy is proposed using the principle of a low-pass filter and can help to avoid frequent batteries charging and discharging. Considering the rated power of each energy storage type, the respective compensation power is corrected. By determining whether the charging state reaches the limit, the value is corrected again. Additionally, a mathematical model that minimizes the daily cost of the HESS is derived. This paper takes an isolated micrgrid in north China as an example to verify the effectiveness of this method. The comparison between QPSO and a traditional particle swarm algorithm shows that QPSO can find the optimal solution faster and the HESS has lower daily cost. Simulation results for an isolated microgrid verified the effectiveness of the HESS optimal capacity configuration method.
Highlights
The optimal configuration of capacity is the key to a microgrid’s integrated control and energy management [1]
The energy storage device may be in a low charge state for a long time, which will have a negative impact on its life and performance
Ebat/uc is the capacity of each energy storage device and ∆t is the duration of each interval
Summary
The optimal configuration of capacity is the key to a microgrid’s integrated control and energy management [1]. In most studies on the optimal capacity configuration of hybrid energy storage systems, a microgrid is considered a grid-connected operation. It is difficult to deal the isolated microgrid has higher requirements for the control of an energy storage system It is with difficult change of operating conditions and theconditions longer useand of single storage [4].ofRelated research[4]. To optimize the HESS capacity in an isolated microgrid withthe respect characteristics, a hybrid configuration scheme for the ultracapacitors and batteries based on cost to the load characteristics, a hybrid configuration scheme for the ultracapacitors and batteries based analysis was proposed in [7].
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