Collaborative Dispatching Optimization of Electrochemical Energy Storage and Pumped Storage Considering a Stepped Carbon Trading Mechanism

In order to verify the feasibility of participating in the electricity market and carbon market under the coordinated scheduling of electrochemical energy storage and pumped storage, a multi energy complementary system including thermal power units, wind power, photovoltaic power, pumped storage, and electrochemical energy storage was constructed. Considering the levelized cost of electricity (LCOE) and carbon emission cost, with the objective function of minimizing the sum of energy purchase cost, LCOE, carbon emission cost, and wind and solar abandonment cost, the Cplex solver in MATLAB was called for scheduling optimization solution. Taking the typical summer day data of a certain regional power grid in the northwest as an example, the time-of-use electricity price and tiered carbon trading mechanism were introduced, and six scenarios were set up, including different energy storage systems participating and different carbon trading mechanisms. Results show that the electricity market revenue and carbon market revenue are the highest and the system carbon emissions are the lowest under the collaborative scheduling of pumped storage and electrochemical energy storage, which verifies the feasibility of the proposed energy storage collaborative configuration scheme and scheduling optimization scheme.