Load Curtailment Optimization Using the PSO Algorithm for Enhancing the Reliability of Distribution Networks

摘要: Power systems are susceptible to disturbances due their nature. These can cause overloads or even contingencies of greater impact. In case an extreme situation, load curtailment is considered the last resort for reducing contingency impact, its activation being necessary avoid collapse system. However, shedding seldom work optimally and either excessive insufficient reduction load. To resolve this issue, present paper proposes a methodology enhance management in medium voltage distribution using Particle Swarm Optimization (PSO). This optimization seeks minimize amount be cut off. Restrictions on problem consist security operation margins both loading system elements. Heuristic algorithms were chosen, since they online basis (allowing short processing time) solve formulated problem. Best performances regarding optimal value time obtained PSO algorithm, qualifying technique as most appropriate study. assess methodology, CIGRE MV network benchmark was used, assuming dynamic profiles during entire week. Results show that it possible determine unattended power way, improvements minimization expected energy not supplied (ENS) well System Average Interruption Frequency Index (SAIDI) at specific hours day made.