Creat membership Creat membership
Sign in

Forgot password?

Confirm
  • Forgot password?
    Sign Up
  • Confirm
    Sign In
Creat membership Creat membership
Sign in

Forgot password?

Confirm
  • Forgot password?
    Sign Up
  • Confirm
    Sign In
Collection
For ¥0.57 per day, unlimited downloads CREATE MEMBERSHIP Download

toTop

If you have any feedback, Please follow the official account to submit feedback.

Turn on your phone and scan

home > search >

[IEEE 2009 15th International Conference on Intelligent System Applications to Power Systems (ISAP) - Curitiba (2009.11.8-2009.11.12)] 2009 15th International Conference on Intelligent System Applications to Power Systems - Multi-Objective Optimal Allocation of SVRs in Distribution Networks

Author:
Mori, H.   Yoshida, T.   


Issue Date:
2009


Abstract(summary):

This paper presents a new method for multi-objective optimal allocation of step voltage regulators (SVRs) in distribution systems. In recent years, deregulated and competitive power markets bring about complicated distribution network configurations. As a result, it is difficult to smooth distribution network operation and planning. In this paper, a method for determining the optimal allocation of SVRs is proposed to maintain the voltage profile. The proposed method is based on multi-objective meta-heuristics (MOMH) and MonteCarlo Simulation (MCS) with the correlation. The former is useful for evaluating a Pareto solution set systematically. As MOMH, this paper makes use of the improved strength Pareto evolutionary algorithm (SPEA2) that has a good performance in terms of the solution diversity and accuracy of the Pareto set. The latter plays a key role to deal with the uncertainty of the nodal specified value in distribution networks. The effectiveness of the proposed method is demonstrated in the 69-node system.


VIEW PDF

The preview is over

If you wish to continue, please create your membership or download this.

Create Membership

Similar Literature

Submit Feedback

This function is a member function, members do not limit the number of downloads