Decision Support System for Adaptive Restoration Control of Transmission System

Abstract

The power system restoration control has a higher uncertainty level than the preventive control of cascading failures. In order to ensure the feasibility of the decision support system of restoration control, a decision support framework for adaptive restoration control of transmission system is proposed, which can support the coordinated restoration of multiple partitions, coordinated restoration of units and loads, and coordination of multi-partition decision-making process and actual restoration process. The proposed framework is divided into two layers, global coordination layer and partition optimization layer. The upper layer partitions the transmission system according to the power outage scenario, constantly and dynamically adjusts the partitions during the restoration process, and optimizes the time-space decision-making of inter-partition connectivity. For each partition, the lower layer pre-selects restoration targets according to the estimated restoration income, optimizes the corresponding restoration paths, and evaluates the restoration plans according to the expected net income per unit of power consumption. During the restoration process, if the restoration operation such as energizing the outage branch fails, the current restoration plan will be adaptively switched to the sub-optimal one or re-optimized if necessary. The framework includes two operation modes, i. e., the on-line operation mode and training simulation mode, and provides an information interaction interface for collaborative restoration with related distribution systems. The effectiveness and adaptability of the proposed framework is demonstrated by simulations using the modified IEEE 118-bus system.

An online decision-making method based on multi-agent interaction for coordinated load restoration

“…The main differences between different methods are shown in Table 4. The method proposed by Li et al (2021) is referred to as Method 1, which does not consider the power supply of microgrids. The method proposed by Ding et al (2017) is referred to as Method 2, which considers the microgrids as the controllable power supply.…”

“…In the practical load restoration process, uncertainty of actual repair and traveling time leads to uncertainty of the power supply capability of the transmission grid. In (Li et al, 2021), a decision support framework for adaptive restoration control of transmission systems is proposed, which can be used to allocate the restoration power to different substations based on real-time restoration dispatching and emergency repair information. The uncertainty of power supply capability from the transmission grid is not discussed in detail.…”

Decision Support System for Adaptive Restoration Control of Distribution System

“…In the mixed manner, the restoration instructions are issued to the actuators automatically and the system operator can adjust the instructions when necessary. The proposed DRDSS also consists of on-line operation mode and training simulation mode, and the configuration for the two modes is presented in [21].…”

“…After obtaining the table of alternative restoration scheme of each partition uploaded by the partition optimization layer, which will be introduced in Section III-C, the submodule checks the partition connecting conditions including the conditions of inter-partition synchronization, and the security and stability conditions of connected partitions. Afterwards, it optimizes the inter-partition connectivity schemes according to the method in [21], which includes the schemes of the two partitions delivering power to restore their boundary nodes and the scheme of the two boundary nodes being connected with a branch.…”

“…Our research group has established a transmission system restoration decision support system (TRDSS) [21]. Based on this, in order to address the aforementioned restoration control problems of distribution system, a unified risk optimization model for quantifying the economy and security of the restoration scheme is established in this paper, and a two-layer framework for the distribution system restoration decision support system (DRDSS) is further designed.…”