|Title:||Increasing the efficiency of photovoltaic (PV) batteries through non-intrusive load monitoring|
|Authors :||Baumann, Patrick Walter|
|Conference details:||EU PVSEC 2017 Conference, 5DO.5.6, 28. September 2017|
|Language :||Englisch / English|
|Subjects :||Inverter; Power optimiser; Micro-inverter (AC modules); Monitoring system; Battery; Charge regulator; Measurement; Testing|
|Subject (DDC) :||003: Systeme|
621.3: Elektrotechnik, Elektronik
|Abstract:||Corporate project team consisting of Zurich University of Applied Sciences (ZHAW) and Furtwangen University (HFU) analysed and examined the energy usage and its flow in a common household with a Photovoltaic (PV) plant and a battery as storage of the generated PV power. The aim was to optimise the power usage in a configuration with the battery. The energy generated by the PV plant and stored in the battery is quite valuable in terms of efficiency and environmental friendliness. The problem which rises here, however, is the best usage of the power.
The common approach is that based on certain parameters the inverter decides when to draw power from the battery. Important parameters for this decision are the actual load current based on electrical devices used in the household and the state of charge (SOC) of the battery. The main problem is disproportional power loss in the inverter by low-load currents drawn from the battery. Measurements of the battery made by the ZHAW demonstrated this problem.
The idea is to use the battery power only for high-power devices with knowledge of the usage routine of the devices. So, the determining factor is not the load current but the recognition and usage-prediction of specific devices, such as a stove or water kettle. Only such high-power devices should be powered by the battery so that the losses in the inverter are driven to be negligible.|
To identify single devices, the load current must be measured. For the sake of simplicity and economy, only one measurement is installed. With digital signal processing and an adapted algorithm, it has been shown that devices can be identified in many cases. The consumption of individual devices is determined by a non-intrusive load monitoring (NILM) system from the total consumption (more details to follow below). An innovation resulted from combining typical energy-system challenges (e.g. minimising losses) which are common for individual PV plants at private homes. With a simple device the efficiency of existing batteries can be improved significant.
|Departement:||School of Engineering|
|Organisational Unit:||Institut für Energiesysteme und Fluid-Engineering (IEFE)|
|Publication type:||Konferenz: Sonstiges / Conference Other|
|Type of review:||Keine Angabe / Not specified|
|License (according to publishing contract) :||Keine Angabe / Not specified|
|Appears in Collections:||Publikationen School of Engineering|
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