Peak Shaving Methods of Distributed Generation Clusters Using Dynamic Evaluation and Self-Renewal Mechanism

Abstract

As one of the power auxiliary services, peak shaving is the key problem to be solved in the power grid. With the rapid development of DGs, the traditional peak shaving scheduling method for centralized adjustable energy is no longer applicable. Thus, this paper proposes two-layer optimization methods of allocating the peak shaving task for DGs. Layer 1 mainly proposes four evaluation indexes and the peak shaving priority sequence can be obtained with modified TOPSIS, then the DG cluster’s task is allocated to the corresponding DGs. On the basis of dynamic evaluation and the self-renewal mechanism, layer 2 proposes a peak shaving optimization model with dynamic constraints which assigns peak shaving instructions to each cluster. Finally, the effectiveness of the method is verified by using the real DGs data of a regional power grid in China based on the MATLAB simulation platform. The results demonstrate that the proposed methods can simply the calculation complexity by ranking the DGs in the peak shaving task and update the reliable aggregate adjustable power of each cluster in time to allocate more reasonably.

Analysis of the impact of inverter distributed generation on 10kV power grid relay protection

“…If the access of distributed generation causes protection malfunction, it is necessary to limit the capacity of distributed generation [11] . As shown in Figure 6, a short circuit fault occurs at the downstream stage protection 2 of the distributed power supply, the distributed power supply is installed on the bus B, and when a short circuit fault occurs at the K1 point [12] . Suppose that the system potential is E1, the potential of the distributed source is E2, and the line impedance from the system to the short circuit point is Z1.…”