Microgrids can provide economic benefits, and those benefits can be maximized through intelligent control. This paper applies a fast and reliable linear programming (LP) approach to the economic dispatch of grid-tied microgrids containing any or all of the following resources: conventional generators, energy storage, demand response resources, and non-dispatchable resources (e.g. solar or wind). The proposed method minimizes the cost to operate the microgrid while meeting various resource constraints. Forecast load and renewable resource power profiles are used to generate linear constraints. Storage conversion losses, which can be much more significant in microgrids, are innovatively accounted for within LP using auxiliary variables. Non-linear constraints on the dispatchable resources are applied by preprocessing the input to LP and post-processing its output.
Two meetings were hosted by the GridWise Architecture Council (GWAC) to facilitate external collaboration and cross-fertilization of ideas in this important area of research. The first meeting was held during July 2015 at the PNNL campus, Richland, WA, and the second was hosted by the Electric Reliability Council of Texas (ERCOT) at its Taylor, TX facility at the end of September 2015. PNNL staff collaborated with GWAC to publish transactions for these meetings and capture the participants' valuable insights. The following individuals reviewed this report and provided helpful feedback and suggestions:
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