Summary
The Energy and Evaluation Special Committee of the China Price Association proposed two types of bill for battery energy storage (BES) subsidies in 2017: the first was that energy storage should be subsidised based on the initial installation capacity of BES system, while the second was that it should be subsidised based on the energy discharged by the BES system during the operational period. The economic benefits of a distributed photovoltaic (PV) system or a distributed system with PV and BES in the overall life cycle are discussed in the context of an industrial zone in Shanghai. The results suggest that the net present value (NPV) of a PV‐BES system with an optimised configuration is higher than the NPV of a PV system alone. The NPV of a distributed PV system with four different BESs is found to decrease in the order Li‐ion > NaS > VFB > Pb‐C because of the characteristics of their batteries. The NPVs of PV‐BES systems increase in equal proportion to the increase in the BES subsidy based on installation capacity for these four BES systems, while they show an inequable growth rate of earnings for the same BES subsidy based on the energy discharged over the operational period. The second bill for BES subsidy is more beneficial to the BES industry than the first, as it encourages higher pay for more work.
Outage recovery is important for reducing the economic cost and improving the reliability of a distribution system (DS) in extreme weather and with equipment faults. Previous studies have separately considered network reconfiguration (NR) and dispatching mobile power sources (MPS) to restore the outage load. However, NR cannot deal with the scenario of an electrical island, while dispatching MPS results in a long power outage. In this paper, a resilient outage recovery method based on co-optimizing MPS and NR is proposed, where the DS and traffic network (TN) are considered simultaneously. In the DS, the switch action cost and power losses are minimized, and the access points of MPSs are changed by carrying out the NR process. In the TN, an MPS dispatching model with the objective of minimizing power outage time, routing and power generation cost is developed to optimize the MPSs’ schedule. A solution algorithm based on iteration and relaxation methods is proposed to simplify the solving process and obtain the optimal recovery strategy. Finally, numerical case studies on the IEEE 33 and 119-bus systems validate the proposed resilient outage recovery method. It is shown that the access point of MPS can be changed by NR to decrease the power outage time and dispatching cost of MPS. The results also show that the system operation cost can be reduced by considering power losses in the objective function.
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