Reliability is a key concern in distribution network planning. Long - span distribution lines raise the likelihood of line failures, thereby reducing system reliability. Installing cross - connections (CC) is an effective measure to mitigate this issue.
Distributed generators (DG) can inject active and reactive power, which helps lower reliability indices and improve the voltage profile. However, their high investment costs deter power engineers from widespread adoption.
Given the discrete and nonlinear nature of the allocation and sizing problem, the resulting objective function has multiple local minima. This highlights the significance of choosing an appropriate optimization method.
Optimization methods are mainly classified into two groups:
- Analytical - based methods.
- Heuristic - based methods.
Analytical methods are computationally efficient but struggle to handle local minima effectively. To address the local minima issue, heuristic methods have been widely used in the literature.
In this research, both analytical and heuristic methods will be implemented in Matlab. Discrete Nonlinear Programming (DNLP) will be used as the analytical approach, and Discrete Particle Swarm Optimization (DPSO) as the heuristic approach.