Coot Optimization Algorithm for Optimal Placement of Photovoltaic Generators in Distribution Systems Considering Variation of Load and Solar Radiation

Abstract

In this paper, photovoltaic generators (PVGs) are placed in radial distribution networks (RDNs) for reducing active power loss of one operation day by using three recently published metaheuristic algorithms including coot optimization algorithm (COOA), transient search algorithm (TSA), and crystal structure algorithm (CRSA). In one operation day, the variation of loads is considered, and the change of solar radiation over daytime is also taken. The study has two main contributions regarding the effectiveness of COOA: energy loss reduction and voltage improvement. COOA can reach high energy loss reduction, better solutions, and faster search speed than TSA and CRSA. In fact, COOA finds better energy loss than the algorithms by 1% and 1.77% for the IEEE 69-node system and 0.75% and 1.4% for the IEEE 85-node system. Furthermore, COOA is at least three times faster than CRSA and two times faster than TSA. As compared to a base system without PVGs, COOA can find better energy loss up to 60.96% and improve voltage up to 4.5%. Thus, COOA is a highly effective optimization tool with the optimal solution, high stability, and fast computation process for placing PVGs in RDNs.

Optimal placement and operation of soft open points, capacitors, and renewable distributed generators in distribution power networks to reduce total one-year energy loss

“…As reported, the total power losses in DPNs could equal 13% of the total generated power [ 1 ], and high voltage drops at peak hours with a high-power demand of loads were serious [ 2 ]. To avoid high power losses and voltage drops, the solution is to reduce the line's operating current and resistance [ 3 ] by placing capacitors [ 4 ], distributed generators (DGs) [ 5 ], WDGs [ 6 ], SDGs [ 7 ], and DGs based on biomass energy (BMDGs) [ 8 ], implementing network reconfiguration (NR) [ 9 ], SOPs devices [ 10 ], and so on. In the study, the placement of electric components, such as capacitors, soft open points (SOPs), distributed generators based on wind energy (WDGs) and distributed generators based on solar radiation (SDGs), are considered to reach the economic and technical benefits for DPNs.…”

Optimal Sizing and Deployment of Renewable Energy Generators in Practical Transmission Network Using Grid-Oriented Multiobjective Harmony Search Algorithm for Loss Reduction and Voltage Profile Improvements

“…Tis has merit of high speed of convergence, least execution time, and most consistent results. DG placement techniques such as sustainability-oriented multiobjective optimization model [14] and the genetic algorithm [15,16] are reported in the literature in recent years.…”

Design and Performance Analysis of a Nonlinear Magnetic Levitation System Using PID Controller Optimized With COOT Algorithm

“…Out of the two, the coot algorithm finds a good voltage of up to 4.5 percent and a good energy loss of up to 60.96 percent. The response of the coot algorithm is three times faster than the crystal structure algorithm and two times faster than the transient search algorithm [60]. The proposed method is utilized to optimize the PID controller's settings to reduce the maglev system's integral square error (ISE).…”