Research on Evaluation of Power Supply Capability of Active Distribution Network with Distributed Power Supply with High Permeability

Abstract

With the large number of distributed generation (DG) access to the distribution network, the traditional distribution network with a single-supply radial structure has been transformed into an active distribution system (ADS) with source and bidirectional currents. This transformation makes the calculation of the power supply capacity (PSC) of the ADS face new challenges, and the uncertainty of the DG output increases the difficulty in calculating the PSC. At the same time, the power market transaction check needs to meet the safety constraints of the distribution network operation, and is required to know the PSC information of the ADS more quickly and accurately. Therefore, in order to quickly evaluate the PSC of the ADS, this paper proposes a fast evaluation method of the PSC based on the DG output rolling prediction and the information gap decision theory (IGDT). The method first establishes a rolling prediction model of the DG output, and calculates the PSC of the ADS at the corresponding time. Next, it establishes a risk avoidance model (RAM) and a risk speculation model (RSM) for the PSC of the ADS based on the IGDT. These models further calculate the probability of the range of the PSC at the corresponding time, so as to better evaluate the PSC of the ADS. Finally, the improved IEEE-14 node is used to verify that the model can consider the influence of the DG output uncertainty and quickly calculate the information of PSC.

Investigation of Quantitative Assessment Techniques for Supply-Regulation Capability in Multi-Scenario New-Type Power Systems

“…Support for the choice of scenarios is obtained from the trend of the increasing dominance of renewable sources in power systems. While contributing to sustainability, the intermittent nature of such sources places pressure on the system by creating fluctuations in supply possibilities [17]. Thus, high renewable integration is a necessary scenario to test the efficacy of various approaches in anticipating and alleviating future imbalances between supply and demand.…”

Multi-coordinated scheduling application of small and medium-sized source network, load and storage system under blockchain technology

“…With the construction of a smart grid, the development and utilization of renewable energy and the increase of controllable resources in the distribution network, the traditional unidirectional passive distribution network is gradually transformed into a two-way interactive, multi-dimensional coordinated active distribution network [7][8]. At the same time, the randomness and volatility of renewable energy bring many challenges to the safe and stable operation of the distribution network, while the ADN can give full play to the regulation of various controllable resources by means of the coordinated optimization technology of "source, network, load and storage" to realize the active guidance and utilization of distributed power sources, and to improve the economy and stability of the system operation [9][10]. Therefore, the coordinated control and active management of various controllable resources in ADN is of great significance to realize the optimal allocation of resources and improve the economy and reliability of distribution network operation [11][12].…”