配電系統における設備形成制約を考慮した標準系統最適化

抄録

When constraints required for asset planning in distribution systems are violated by installing a new large load, distribution system reconfiguration becomes necessary to satisfy the constraints. However, due to the severe constraints caused by installing the new large load, it is not easy to find new distribution system candidates. If the reconfiguration does not satisfy the constraints, the investment in equipment such as upsizing distribution lines is required, which should be avoided as much as possible to minimize monetary costs. This paper proposes a multi-objective optimization-based approach to find new distribution system candidates to handle this intractable problem. We formulate the reconfiguration problem as a many-objective optimization problem with four minimization objectives: (i) the upper and lower bound violations of voltage, (ii) the upper bound violation of distribution line current, (iii) the bias in the number of automatic switch sections, and (iv) the number of exchanges between manual and remote switches. This problem is efficiently solved by a many-objective evolutionary algorithm that can provide both the distribution system candidates and information on the necessary upsizing lines to satisfy the constraints. The effectiveness of the proposed method is verified by computational experiments using a practical large-scale distribution system model.