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For different spark voltages, ESD discharge energies transferred to the powder samples and respective spark radii are evaluated experimentally.
To achieve the required level of robustness at the lowest cost a design concept is applied which assures matching between PCB protection components and IC IO behaviour under system ESD discharge.
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ES discharges when the distributed generation is insufficient during the peak hours when the electricity price is high.
In peak shaving mode, ES discharges during the 6 10 peak hours, and charges during the 3 5 valley hours.
It can be seen that the MG needs to purchase power from the main grid or ES discharges to maintain supply demand balance except when the distributed generation is larger than load.
The interest in large scale electricity storage (ES) with discharging time longer than 1 h and nominal power greater than 1 MW, is increasing worldwide as the increasing share of renewable energy, typically solar and wind energy, imposes severe load management issues.
The optimal operation of ES in the electricity market has been investigated and some artificial and computational intelligence technologies are employed to optimize the MG with regard to ES charge and discharge scheduling in order to maximize the benefits related to the electricity price differences.
Here, this paper adopts the following strategy: discharging ES is considered as the first priority.
When DGs cannot satisfy the load, there are several possible actions that MG can take: ① discharging ES equipment; ② purchasing power from the main grid; ③ increasing the generation of controllable DGs; and ④ load shedding.
(11 where Q max is the capacity of ES, in kWh; η C and η D are the charge and discharge efficiency of ES, respectively.
(8 where γ C and γ D are the maximum charge and discharge rate of ES respectively, whose values are determined by the physical characteristics of ES.
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