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Usage of metaheuristic methods of optimization of distributed generation placement into the distribution network (Możliwości zastosowania algorytmów metaheurystycznych do optymaliz...

Kowalska-Pyzalska, Anna - Hugo Steinhaus Center for Stochastic Methods, … - 2011

optimization methods are very useful in determining the optimal placement, type and size of the distributed generators. One of the …. The aim of this paper is to present the advantages and benefits of metaheuristicss in optimization of DG allocation in the …

Persistent link: https://www.econbiz.de/10010626151

A review of optimization methods for evaluation of placement of distributed generation into distribution networks (Przegląd metod optymalizacji przyłączenia rozproszonych źródeł en...

Kowalska-Pyzalska, Anna - Hugo Steinhaus Center for Stochastic Methods, … - 2013

distributed generators in the power system is a big challenge for the transmission and distribution system operators. Optimization … about the reinforcement of the networks. In the paper the most common optimization methods, objective functions and … constraints will be described. The current trends in optimization of distributed generation will be presented. …

Persistent link: https://www.econbiz.de/10010659623

Optimal placement of distributed generation in the distribution network: Assessment of economic and technical effectiveness of investments

Kowalska-Pyzalska, Anna - Hugo Steinhaus Center for Stochastic Methods, … - 2012

. Methods, used in the algorithms, are based on the linear programming method and on the optimization of coordinates …

Persistent link: https://www.econbiz.de/10010626148

Optimization of the decision on the integration of distributed generation with the electrical grid using linear programming (Optymalizacja decyzji o przyłączeniu rozproszonych źród...

Kowalska-Pyzalska, Anna - Hugo Steinhaus Center for Stochastic Methods, … - 2009

The paper deals with decision optimization of the integration of distributed generation with electrical grid. Presented …. The aim of optimization is to find out these alternatives which will guarantee maximization of economic and technical …

Persistent link: https://www.econbiz.de/10010626149

Fundamental and speculative shocks, what drives electricity prices?

Maciejowska, Katarzyna - Hugo Steinhaus Center for Stochastic Methods, … - 2014

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...

Persistent link: https://www.econbiz.de/10010765437

Modelling price spikes in electricity markets - the impact of load, weather and capacity

Handika, Rangga; Truong, Chi; Trueck, Stefan; Weron, Rafal - Hugo Steinhaus Center for Stochastic Methods, … - 2014

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...

Persistent link: https://www.econbiz.de/10010774665

Long term probabilistic load forecasting and normalization with hourly information

Hong, Tao; Wilson, Jason; Xie, Jingrui - Hugo Steinhaus Center for Stochastic Methods, … - 2013

The classical approach to long term load forecasting is often limited to the use of load and weather information occurring with monthly or annual frequency. This low resolution, infrequent data can sometimes lead to inaccurate forecasts. Load forecasters often have a hard time explaining the...

Persistent link: https://www.econbiz.de/10011165883

13 lucky tips to juggle the analytics of forecasting

Hong, Tao - Hugo Steinhaus Center for Stochastic Methods, … - 2014

Energy forecasting is one of those areas of great importance to electric grid that gets little attention - even from power industry insiders. But you need to know how to make the best of your forecasting process. Here are 13 tips to get you started.

Persistent link: https://www.econbiz.de/10011165884

Energy forecasting: Past, present and future

Hong, Tao - Hugo Steinhaus Center for Stochastic Methods, … - 2013

When turning on the switch, people expect the light would be on. However, the business to keep the lights on is not that straightforward. This paper offers a practical overview of energy forecasting, an important task that electric utilities have been doing every day for over a century.

Persistent link: https://www.econbiz.de/10011165885

Fuzzy interaction regression for short term load forecasting

Hong, Tao; Wang, Pu - Hugo Steinhaus Center for Stochastic Methods, … - 2013

Electric load forecasting is a fundamental business process and well-established analytical problem in the utility industry. Due to various characteristics of electricity demand series and the business needs, electric load forecasting is a classical textbook example and popular application field...

Persistent link: https://www.econbiz.de/10011165886