Restoration Scheduling Research Articles

Multiobjective service restoration of distribution systems using fuzzy cause-effect networks

This paper proposes the use of a fuzzy cause-effect (FCE) network to achieve the multiobjective service restoration of distribution systems. Service restoration is a complicated combinatorial optimization problem that often has a great number of candidate solutions to be evaluated by the operators. To tackle the problem of service restoration with multiple objectives, the weighted sum strategy is employed to convert these objectives into a single objective function by giving relative weighting values. The weighting factor of each objective is assessed via the analytical hierarchy process (AHP) approach. Since the operators' needs and heuristic rules are often expressed in imprecise linguistic terms, the FCE networks are then built to represent the related knowledge and inference scheme regarding the task of restoration. The proposed FCE networks were practically tested on a typical distribution system of the Taiwan Power Company (TPC). The flexibility and effectiveness of the FCE networks have validated it for use as decision support in restoration scheduling of distribution systems.

Distribution system service restoration using fuzzy Petri Net models

This paper proposes a new fuzzy Petri Net (FPN) modeling technique to achieve the on-line service-restoration plan of the distribution system. Service restoration is a complicated combinatorial optimization problem that often has a great number of candidate solutions to be selected by the dispatchers. According to practical guidelines and experiences of the dispatchers on the service restoration of distribution systems, an FPN model is built to represent the related knowledge and inference scheme about the task of restoration. The proposed FPN model has been practically tested on a typical distribution system of Taiwan Power Company (TPC). Flexibility and effectiveness of the FPN model have been validated as a decision support for restoration scheduling of distribution systems.

Expert system for energizing bulk power systems after a blackout

AbstractIn this paper an expert system for energizing the hydro‐dominated Austrian bulk power system after a blackout is presented. According to general restoration guidelines and operating procedures, the expert system computes the restoration schedule (as a sequence of events) for the presumed blackout (i. e. non‐available elements are defined). The restoration schedule is concluded using a discrete event simulator where all substations are modelled at element level. The dispatcher is guided by check lists to follow this restoration schedule and the switching instructions are proposed. Subsequent faults during the restoration result in a revision of the restoration schedule. This expert system has been realized with the help of the expert system tool KEE, and is in use as a stand‐alone program. Further integration within the energy management system is under way.

The Optimization Restoration Model Based on the Time Distance Matrix

It is important that a road network, that establish a local community, recovers rapidly from earthquake damages. As such, the purpose of this paper is to develop a restoration model that is applicable for quantitative analysis of restoration schedule using accessible index with qualifications meeting capabilities of the personnel staff and machinery. Genetic Algorithms (GA) for non-convexities problems in design apace was applied. The result suggest that GA is found to be more effective for optimizing restoration models with large number of parameters.