Optimal Scheduling of Active Distribution Network Considering Energy Storage System and Reactive Compensation Devices

In order to improve the operation efficiency and economic performance of active distribution network (ADN), an optimal scheduling method of ADNs is proposed, which includes loss of life (LOL) model of energy storage system (ESS) and multiple reactive compensation devices. The LOL model of ESS takes into consideration of the over-charge and over-discharge capability to make more benefits and calculates the LOL cost caused by this. Then, the reactive power compensation capacity of renewable distributed generators (RDGs) is fully explored, increasing the reactive power reserve level of the system. In the optimal scheduling method of ADNs, the tradeoff between the benefits and costs brought by over-charging and over-discharging is addressed to optimize the overall operating cost of the ADN. The reactive power of RDGs is used preferentially to replace the dynamic reactive power compensation. The second-order cone relaxation technique and special-ordered set of type 2 method are employed to recast the proposed model into a mixed-integer second-order cone programming (MISOCP) that can be solved efficiently. Case study on an IEEE 33-bus system verifies that the proposed method can effectively enhance overall economic performance by exploiting the charge-discharge capacity of ESS and reactive power compensation capability of RDGs.