Impact of short-term and long-term energy storage units on power system operation economy: A parametric linear programming method

Abstract This paper evaluates the economic impact of short-term and long-term energy storage capacity on power system operation cost. First, unit commitment (UC) model with comprising a year-round hourly simulation is established to minimize optimal By introducing convex hull original feasible region decision variables, integer variables in UC are relaxed as continuous transforming problem linear programming (LP). Then, by regarding capacities parameters, LP cast multiparametric (mp-LP), where value function (OVF) explicitly expressed piecewise parameters. An approximation method used calculate analytical critical regions. The expression OVF contains rich sensitivity information. Finally, case studies validate our proposed provide visualization results. information exploited. As potential application, evaluation results could be applied sizing.