Abstract
Summary form only given. Locational marginal pricing (LMP) has been widely accepted as a suitable method for managing network congestion in energy markets. This presentation reviews the main ideas behind LMPs, and reviews the techniques used to implement LMP calculations in two energy markets in the US. The first case illustrates the case of ex-ante LMPs in the day ahead timeframe and in the real-time timeframe. In this case the calculations are based on the results of the day ahead market clearing and the real time market clearing. The second case illustrates the case of ex-post LMPs, in which the calculations are based on the results of the solved state estimator. The practical problems encountered and solved as part of the implementation of these two systems, are reviewed. Key concerns are the quality of the network model, redundancy of data, and modeling of the market rules which identifying special cases and which identify the marginal units which are allowed to set the LMPs. The perspective in this session is that of a supplier of energy market management and energy management systems.
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