Competitive electricity market has forced the electric power generating companies (Gencos) to have a tool for measuring and managing the risk. In this paper, a probabilistic framework for managing risk of a generator, which is trading in day-ahead and ancillary service markets, has been proposed. The proposed approach is based on optimization procedure for maximizing expected profits in the presence of risk. Conditional Value at Risk (CVaR) for the distribution of daily profit is used as risk measure. The effectiveness of this approach is tested for a producer in electricity market. The proposed methodology is flexible for managing risk and profit in multi-market environment for different reserve level.
Keywords-Conditional value at risk, Day-ahead market, Expected profit, Risk management, Ancillary services.NOMENCLATURE ( ), G T t P Total amount of power generated at time t ( ), G S t P Amount of power traded in spot market at time t ( ), G R t P Amount of power traded in reserve market at time t t p