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Conventional optimization technique suggests that marginal unit generation sensitivity (MUGS) may be calculated based on perturbation at optimality. The calculated MUGS however only applies to the perturbed operating point. Often times it is not advisable to apply this local information to predict generations at another loading level with considerable load change, and therefore another calculation...
Summary form only given: In power market studies, the forecast of locational marginal price (LMP) relies on the load forecasting results from the viewpoint of planning. It is well known that short-term load forecasting results always carry certain degree of errors mainly due to the random nature of the load. At the same time, LMP step changes occur at critical load levels (CLLs). Therefore, it is...
A common practice for the Ex Post LMP calculation at a number of US ISOs uses a small constant range, typically from -2.0 MW to +0.1 MW, as each generator's lower and upper bounds. However, this paper shows that this common practice lacks theoretic justification and may lead to inconsistent results. For example, if the ex post dispatch results are identical to the ex ante dispatch schedules, it is...
Summary form only given. In market-based planning and operation, it is always useful to have the information of generation dispatch, congestion and price as load increases. Therefore, it is very beneficial to system planners if the congestion or LMP versus load is readily available. This can certainly be obtained by repetitively running an optimization model at different load levels. However, this...
In day-ahead power markets, the calculation of locational marginal price (LMP) relies on the load forecasting results. It is well known that short-term load forecasting results always contain certain degree of errors mainly due to the random nature of the load. At the same time, LMP step change exists at critical load level (CLL). Therefore, it is interesting to investigate the impact of load forecast...
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