Risk Constrained Scheduling of Energy Storage for Load Serving Entities Considering Load and LMP Uncertainties

With the substantial technique development, energy storage (ES) is becoming a promising resource to improve the flexibility and reliability of power system operation. Consequently, ES is obtaining increasing attention from both academia and industry. Due to the increasing fluctuation of locational marginal prices (LMP) as a result of the high penetration of variable wind generation, obtaining the deterministic scheduling decision for ES, i.e., charging/discharging, becomes more complex for load serving entities (LSEs). To address this challenge, a risk constrained scheduling model is proposed in which the objective is to maximize the LSE's profit by optimially scheduling ES charging/discharging profile and considering the possible financial loss risk. Conditional value at risk (CVaR) term has been included in the objective function to negate the risk of associating the uncertainties from forecasting the market price and load. Numerical examples verify the proposed method in ES scheduling considering risk.