P. Luickx - Academia.edu (original) (raw)
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Papers by P. Luickx
2010 7th International Conference on the European Energy Market, 2010
ABSTRACT This paper presents a Belgian example applying the grid-connected cars as a means for st... more ABSTRACT This paper presents a Belgian example applying the grid-connected cars as a means for storing electricity, which could eventually result in lowering the spot price and its volatility on the electricity market. The energy is assumed to be bought on the Belgian power exchange, and the Belpex Market Resilience analysis is used to determine to what extent additional electricity demand or supply affects the spot market price. Two different arbitrage strategies for the electric cars are adopted in this context, namely that of a central planner, aiming for societal welfare maximization through reduction of average electricity prices. And that of profit-maximizing car-owners.
2012 9th International Conference on the European Energy Market, 2012
ABSTRACT In this paper, we analyse the impact of the introduction of more sophisticated types of ... more ABSTRACT In this paper, we analyse the impact of the introduction of more sophisticated types of bids on the wholesale day ahead market for electricity. The Belgian market is taken as a case study with available data used for the period 2007-2010. Sophisticated orders allow physical assets to be allocated in the most efficient way, even if prices deviate significantly from expectations. In this paper we analyse the quantitative impact on spot prices, both in terms of level and variability, if smart bids had been introduced. The main focus lies on tailor made sophisticated orders for pumped storage. The analyses are based on market resiliency data of Belpex, the Belgian Power exchange, and real historical data on available pumped storage plants. The findings could tip the balance to deepening the market coupling along with the widening to other geographical areas. Our results indicate that straight-forward solutions can improve the optimal allocation of scarce resources in the day ahead electricity market.
To correctly investigate the effects of wind power, it is necessary to embed wind turbines in a w... more To correctly investigate the effects of wind power, it is necessary to embed wind turbines in a wider power system and to take a look at the overall picture. It is not possible to isolate wind turbines and their impact from the rest of the power system; they interact with the electricity generation of the entire power system. This paper presents a simulation tool that models wind power and its unpredictability properly, and allows determining the effects wind power has on the cost of electricity generation and on CO 2 emissions. Furthermore, the model is able to investigate the effects of the accuracy of wind speed forecasting on reliability. The simulation model uses Mixed Integer Linear Programming (MILP) and has the characteristics of an advanced Unit Commitment (UC) model. The model takes into account a wide set of technical constraints of power plants (minimum operating points of power plants, minimum up-and downtimes, startup costs, etc.). To take wind power into account properly, a specific algorithm has been developed. In a first step, a regular 24-hour day ahead UC optimization is performed, with a certain forecast of wind power. In a second step, the realtime dispatch is executed. Each hour of the day, the activated plants are dispatched, taking the actual wind power output into account. Spinning reserves can be used to overcome incorrect wind power forecasts. The method is applied to a case study for Belgium (having an interesting diverse generation mix). High detailed technical information of power plants, demand profiles and empirical data of several wind sites is used in the simulations.
2009 6th International Conference on the European Energy Market, 2009
Investments in wind power occur everywhere in the world. The value of these investments for integ... more Investments in wind power occur everywhere in the world. The value of these investments for integration in an electricity generation system cannot be determined in the same way as conventional electricity sources due to the variable and relative unpredictable nature of wind power. Wind power can only to some limited extend be centrally dispatched. To look at the long term value of investments in wind power, the term capacity credit can be used. It defines the level of conventional generation that can be replaced by wind power generation. Using four adequacy indices, namely Loss-of-load Expectancy (LOLE),
2010 7th International Conference on the European Energy Market, 2010
ABSTRACT This paper presents a Belgian example applying the grid-connected cars as a means for st... more ABSTRACT This paper presents a Belgian example applying the grid-connected cars as a means for storing electricity, which could eventually result in lowering the spot price and its volatility on the electricity market. The energy is assumed to be bought on the Belgian power exchange, and the Belpex Market Resilience analysis is used to determine to what extent additional electricity demand or supply affects the spot market price. Two different arbitrage strategies for the electric cars are adopted in this context, namely that of a central planner, aiming for societal welfare maximization through reduction of average electricity prices. And that of profit-maximizing car-owners.
2012 9th International Conference on the European Energy Market, 2012
ABSTRACT In this paper, we analyse the impact of the introduction of more sophisticated types of ... more ABSTRACT In this paper, we analyse the impact of the introduction of more sophisticated types of bids on the wholesale day ahead market for electricity. The Belgian market is taken as a case study with available data used for the period 2007-2010. Sophisticated orders allow physical assets to be allocated in the most efficient way, even if prices deviate significantly from expectations. In this paper we analyse the quantitative impact on spot prices, both in terms of level and variability, if smart bids had been introduced. The main focus lies on tailor made sophisticated orders for pumped storage. The analyses are based on market resiliency data of Belpex, the Belgian Power exchange, and real historical data on available pumped storage plants. The findings could tip the balance to deepening the market coupling along with the widening to other geographical areas. Our results indicate that straight-forward solutions can improve the optimal allocation of scarce resources in the day ahead electricity market.
To correctly investigate the effects of wind power, it is necessary to embed wind turbines in a w... more To correctly investigate the effects of wind power, it is necessary to embed wind turbines in a wider power system and to take a look at the overall picture. It is not possible to isolate wind turbines and their impact from the rest of the power system; they interact with the electricity generation of the entire power system. This paper presents a simulation tool that models wind power and its unpredictability properly, and allows determining the effects wind power has on the cost of electricity generation and on CO 2 emissions. Furthermore, the model is able to investigate the effects of the accuracy of wind speed forecasting on reliability. The simulation model uses Mixed Integer Linear Programming (MILP) and has the characteristics of an advanced Unit Commitment (UC) model. The model takes into account a wide set of technical constraints of power plants (minimum operating points of power plants, minimum up-and downtimes, startup costs, etc.). To take wind power into account properly, a specific algorithm has been developed. In a first step, a regular 24-hour day ahead UC optimization is performed, with a certain forecast of wind power. In a second step, the realtime dispatch is executed. Each hour of the day, the activated plants are dispatched, taking the actual wind power output into account. Spinning reserves can be used to overcome incorrect wind power forecasts. The method is applied to a case study for Belgium (having an interesting diverse generation mix). High detailed technical information of power plants, demand profiles and empirical data of several wind sites is used in the simulations.
2009 6th International Conference on the European Energy Market, 2009
Investments in wind power occur everywhere in the world. The value of these investments for integ... more Investments in wind power occur everywhere in the world. The value of these investments for integration in an electricity generation system cannot be determined in the same way as conventional electricity sources due to the variable and relative unpredictable nature of wind power. Wind power can only to some limited extend be centrally dispatched. To look at the long term value of investments in wind power, the term capacity credit can be used. It defines the level of conventional generation that can be replaced by wind power generation. Using four adequacy indices, namely Loss-of-load Expectancy (LOLE),