Optimal scheduling of energy storage to mitigate power quality issues in power systems

In this paper, a new optimal scheduling algorithm is proposed to enhance the economic feasibility of integrating energy storage systems (ESSs) in power grids. In addition to the profit gained by ESS owners from arbitrage, ESSs can contribute to mitigate power quality (PQ) issues in power systems. Toward that end, using a mixed-integer linear programming optimization problem, an adaptive reserve margin is created in the ESS reservoir; this enables an ESS to accept and follow the PQ external signals received from the grid operator. A new index is proposed to measure the ESS contribution to mitigation of PQ issues. Due to its contribution to mitigate PQ issues, the ESS owner is financially compensated by the grid operator. This financial benefit can be added to the regular profit resulted from exploiting arbitrage, thereby increasing the profitability of investment in ESSs. Numerical studies are conducted using actual data adopted from Ontario's electricity market.