Distributed generations planning using flower pollination algorithm for enhancing distribution system voltage stability

Comparative Study of Interval Type-2 and Type-1 Fuzzy Genetic and Flower Pollination Algorithms in Optimization of Fuzzy Fractional Order PIλDμ Controllers

“…Flower pollination optimization algorithm (FPOA) is a new high-performance heuristic optimization algorithm which is always welcome to solve real-world problems [26]. References [27][28][29] represent that FPOA has the promote solution and robustness than other published methods and also it has shown reasonable superiority over GA. FPOA has only one parameter p (switch probability) which causes the simple algorithm to implement and quickly reach optimum solution [30]. The other special competence of FPOA is a wide-ranging domain search with quality and the same texture solution.…”

“…The Lèvy flight defined as the characteristics of flying insects can migrate over a large distance during transferring the pollen. That is, 0 > P embellished from a Lèvy distribution [28]:…”

“…Eq. (3) clarifies the local pollination, and rule 2 plus flower dependability can be mathematically modeled as [28]:…”

“…This essentially mimics the flower constancy in a limited neighborhood. If y t j and y t k belong to the same category and same population, this becomes a local random walk if we express ∈ from a uniform distribution in the range [0,1] [28].…”

A two‐stage approach to shunt capacitor‐based optimal reactive power compensation using loss sensitivity factor and cuckoo search algorithm

“…Voltage at the distribution end of power systems is comparatively lower compared to the magnitude of distribution current which is substantially higher . Consumers connected loads at the distribution arm of power systems are more of inductive loads (motors and transformers), aside the fact that there are multiple mixture of unbalance single‐phase, two‐phase, and three‐phase loads coupled with rarely transposed lines . Therefore, distribution systems in many of the developing countries across the globe have suffered and are still suffering from overloading and are operated near their maximum operating limits due to unplanned growth caused by continuing upsurge of power demand by existing and newly connected customers with more sensitive loads…”