Robust Optimization-Based Energy Procurement
In this chapter, the robust optimization approach (ROA), which is one of the most popular uncertainty modeling methods, is used to solve the power procurement problem of a large consumer under the power price uncertainty considering 30% variation in the price. In contrast to stochastic optimization, ROA is rather a deterministic and set-based method. In addition, the robust optimization method investigates the effect of an uncertain parameter on the optimal result, which aims to reduce the sensitivity of the optimal result to the uncertain parameter. To solve the problem, the standard MILP formulation of proposed model based on deterministic formulation is provided and solved under CLPX solver in GAMS optimization program. The comparing obtained results with the deterministic case show that by increasing the power price in the pool market, the large consumer seeks to procure its required demand using other sources as self-generating units, which makes the consumer robust against the price volatility of the market.
KeywordsRobust optimization approach Uncertainty modeling Pool price uncertainty Risk-averse strategy Large consumer power procurement
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