Solar power generation and line losses in the transformer area

Do solar transformer loss factors affect a PV system?

Furthermore, it is clearly demonstrated that under certain conditions, the TOC of the transformer serving a PV system can vary depending on which method of loss evaluation is employed. Finally, it is shown that the annual solar potential has an impact on the loss factors calculation.

Does photovoltaic grid-connected power cause line loss?

A large amount of photovoltaic grid-connected power brings new problems to the line loss management of the distribution network. This paper proposes a theoretical calculation model of line loss for distribution network with multi-distributed photovoltaic access.

How to evaluate energy loss due to transformer overloads?

In order to evaluate the energy loss due to transformer overloads a probabilistic approach is followed based on the LPPP (Loss of Produced Power Probability) index. Such an approach derives from the well-known LPSP (Lost of Power Supply Probability) technique used on PV plants operating in island mode [19-24].

Can power transformer losses be capitalised in large-scale solar applications?

Thus, the methods for capitalising their own transformer losses should be different. Consequently the specific scope of this paper is to offer a comprehensive loss evaluation method to calculate the TOC of power transformers serving large-scale solar applications.

Are power transformer losses evaluated in the modern era of system operation?

Concept of loss evaluation in the modern era of systems’ operation Thus, within this paper, a method is specifically developed to evaluate the losses (and the TOC) of power transformers serving PV plants, owned by IPPs or RUs.

What is the line loss rate of a 10 kV Grid Layer?

According to the line loss calculation model proposed in this paper, combined with the operating parameters and equipment parameters of the distribution network line, the current theoretical line loss rate of the 10 kV grid layer is 2.45%, which is 0.05% lower than the actual statistical value.