Reliability test grids are often used by the analysts to simulate the effect of new possible operational procedures regarding the power system. One of the main problems affecting the use of test grids for reliability studies is that the result of the simulations is strongly dependent not only on the new procedure under investigation, but also on the working point preselected for the simulated grid, in particular in terms of dispatching scenario. In this paper, the use of a sensitivity analysis to separate the two effects is discussed; hence a novel Mixed-Integer Linear Programming (MILP) method is proposed and implemented for providing, with a single Optimal Power Flow, the Unit Commitment and the day-ahead production schedules of a hydro-thermal generating park, as a first stage to perform reliability studies on a given test grid. Operational requirements, like reserve margins and transmission constraints, can be easily tuned to perform sensitivity analyses. The dispatching scenarios are generated assuming a deregulated framework and implementing inside the OPF the rules of day-ahead markets for energy and ancillary services. A mixed deterministic-probabilistic tool for generating bidding strategies is used to simulate the behavior of market players.
A novel mixed-integer linear algorithm to generate Unit Commitment and dispatching scenarios for reliability test grids
GIUNTOLI, MARCO;POLI, DAVIDE
2011-01-01
Abstract
Reliability test grids are often used by the analysts to simulate the effect of new possible operational procedures regarding the power system. One of the main problems affecting the use of test grids for reliability studies is that the result of the simulations is strongly dependent not only on the new procedure under investigation, but also on the working point preselected for the simulated grid, in particular in terms of dispatching scenario. In this paper, the use of a sensitivity analysis to separate the two effects is discussed; hence a novel Mixed-Integer Linear Programming (MILP) method is proposed and implemented for providing, with a single Optimal Power Flow, the Unit Commitment and the day-ahead production schedules of a hydro-thermal generating park, as a first stage to perform reliability studies on a given test grid. Operational requirements, like reserve margins and transmission constraints, can be easily tuned to perform sensitivity analyses. The dispatching scenarios are generated assuming a deregulated framework and implementing inside the OPF the rules of day-ahead markets for energy and ancillary services. A mixed deterministic-probabilistic tool for generating bidding strategies is used to simulate the behavior of market players.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
