作者: Ram Rajagopal , Eilyan Bitar , Pravin Varaiya , Felix Wu
DOI: 10.1016/J.IJEPES.2012.07.048
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摘要: Abstract Risk-limiting dispatch or RLD is formulated as the optimal solution to a multi-stage, stochastic decision problem. At each stage, system operator (SO) purchases forward energy and reserve capacity over block interval of time. The blocks get shorter operations approach real Each based on most recent available information, including demand, renewable power, weather forecasts. accumulated must at time t match net demand D(t) = L(t) − W(t). load L power W are both random processes. expected cost sum costs penalty risk from mismatch between supply. paper derives computable ‘closed-form’ formulas for RLD. Numerical examples demonstrate that minimum can be substantially reduced by recognizing current decisions mitigated future decisions; additional intra-day markets; better These reductions quantified used explore changes in SO’s structure, forecasting technology, penetration.