Evaluation and implementation of a rule-based energy storage algorithm for Digsilent PowerFactory

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Dr. Hartmann Bálint
Department of Electric Power Engineering

The Hungarian Power System’s main task is to properly supply the customers, while providing a relatively economical operate. Nowadays most of the electricity power generators are using fossil fuels. Since the (re)source of these fuels are limited, we have to consider that their price will rise in the near future. Furthermore in the last few years the environmental protection became more important, therefore the power plants with high emission will be charged with extra fees. For that very reason the development of low, zero CO2 emission technologies became very important. To achieve the proper effect, the main key is not just spreading these technologies, but to reach a significant load level. With the current power system this would endanger the ability of stable operation, that's why the Hungarian system needs new, fast regulating capacity. For this problem building a pumped hydro storage power plant would be a suitable solution. There are many pump reservoirs worldwide, so that they are regarded as well tested, stable technology.

My thesis’s aim is to demonstrate, how can the PHS technology overcome the problems mentioned above, and why (is) this storage system is superior to any other. To create a Pumped hydro storage model in DIgSILENT PowerFactory, which can implement system-leveling storage duties. To specify the optimal operating parameters, from different load data series. Last but not least to evaluate the collected results and suggest development opportunities.


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