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The electricity market experiences pronounced short term volatility due to its peculiarities, first of all continuos load variations associated to the impossibility to profitably store electric energy. Electricity price forecast is extremely important for all market players and in particular for generating companies, that must manage their units, and the associated economic risk, in the short, medium and long term. In general, price volatility depends on a large number of parameters such as: fuel prices (often related to currency exchange rates), availability of generating units, hydro generation production, demand elasticity and variations, network congestion and management rules of any specific electricity market. This study provides an analysis of day-ahead spot market price volatility in Spain, California, UK and PJM markets. Electricity prices for the years 1999 and 2000 have been used for the study. The analysis has been carried out on the basis of an original definition of price volatility.

Power systems are a recent field of application of\ud Complex Network research, which allows to perform large scale\ud studies and evaluations. Based on this theory, a power grid is\ud modeled as a weighted graph with several kinds of nodes and\ud edges, and further analysis can help in investigating the behaviour\ud of the grid under critical conditions. Among the crucial aspects\ud of a power network, those concerning flow limits and power\ud flow distribution are gaining relevance due to the increasing\ud introduction of large scale renewable energy generation facilities.\ud Storage systems are a key element in having a more sustainable\ud but still reliable grid. This paper focuses on a new research\ud challenge regarding the siting of the storage on the transmission\ud grid and its appropriate sizing. The problem is tackled by\ud considering realistic configurations based on the IEEE-RTS-96\ud bus and data coming from the Italian transmission operator, and\ud evaluating novel economic and Complex Network based metrics\ud on these configurations. Power flows are modeled in a linear\ud way and the representative optimization problem is expressed as\ud a linear programming problem. The results show the potential\ud benefits of storage in transmission lines and indicate that the\ud siting has a minor role in the optimal operation of the system

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