Joint Planning of BESS and DR for industrial consumers participating in peak-shaving

The peak-load shaving in industrial parks (IPs) presents more complicated than that in residential or commercial districts because of the irregular distribution of peak-valley and two-part tariff (TPT). In this paper, a joint planning method of battery energy storage systems (BESS) and demand response (DR) designed for exploring the feasibility of industrial consumers participating in the peak-load shaving in IPs distribution system is proposed. This bi-level optimization method considering both planning and operation provides a systemic solution which determines the optimal installed capacity of BESS, layout of BESS and joint economic dispatching of BESS and DR, concurrently. The solving process is implemented under the TPT electricity market circumstance, and the annual time-series curve and duration load curve are utilized instead of a typical scenario to deal with the irregular distribution of peak-valley and improve the accuracy of solution. An 11-buses IP distribution system located in Guangdong Province in the south of China is utilized as the study case to verify the validity of proposed method. Finally, the feasibility of industrial consumers participating in the peak-shaving via joint investment of BESS and DR is discussed.