In last decades the rapid development of distributed generation can be observed. It is caused, among others, by legal circumstances, liberalization of the energy market and increasing demand of electrical energy. The presence of many various distributed generators in the power system is a big...

Nowadays power system faces up to various problems and challenges, like e.g. decreasing resources of fossil fuels, ineffective large power plants and transmission lines, as well as increasing demand on energy and quality of energy services and protection of environment. At the same time the...

The paper deals with decision optimization of the integration of distributed generation with electrical grid. Presented algorithm is based on technical and economic factors of integration of distributed generation. The method is based on optimization of coordinates, which in this case are values...

The paper presents two algorithms of optimal placement of distributed generation in electrical grid. Both algorithms take into account technical and economic effectiveness of integration of distributed generation with the power grid. Methods, used in the algorithms, are based on the linear...

The paper deals with decision optimization of the integration of distributed generation with electrical grid. Presented algorithm is based on technical and economic factors of integration of distributed generation. A Linear Programming Methodology, where the various alternatives of distributed...

Because of the increasing number of distributed energy sources integrated with the distribution network various optimization methods are very useful in determining the optimal placement, type and size of the distributed generators. One of the most commonly used algorithms are so called...

This work discusses potential pitfalls of applying linear regression models for explaining the relationship between spot and futures prices in electricity markets. In particular, the bias coming from the simultaneity problem, the effect of correlated measurement errors and the impact of...

In this paper, we analyze the influence of forward trading on the volatility of spot power prices, in models where forward contracts are strategic tools used by energy producers to obtain profit security. We define volatility as the variance of the percentage change in spot power prices over a...

In the paper, Structural Vector Autoregressive models (SVAR) are used to identify fundamental and speculative shocks, in the UK electricity market. The structural shocks are identified via short run restrictions, which are imposed on the matrix of instantaneous effects. In the research, two main...

We examine the impact of explanatory variables such as load, weather and capacity constraints on the occurrence and magnitude of price spikes in regional Australian electricity markets. We apply the so-called Heckman correction, a two-stage estimation procedure that allows us to investigate the...