Simultaneous optimisation of photovoltaic hosting capacity and energy loss of radial distribution networks with open unified power quality conditioner allocation

Abstract

This study presents a multi-objective planning approach to optimally place open unified power quality conditioner (UPQC-O) by simultaneously optimising the photovoltaic (PV) hosting capacity (PVHC) and energy loss of distribution networks. The modelling of UPQC-O consisting of a series and a shunt inverter is carried out so as to place in distribution networks. The Pareto-dominance-based approach is used to simultaneously optimise the objective functions to determine the optimal PV generation capacity in each bus and the locations of the inverters of UPQC-O. The limits on bus voltage magnitude, line current flow, maximum PV generation capacity in each bus, and the percentage of voltage sag mitigated load are considered to be the operational constraints in this planning problem. The solution strategy used is the multi-objective particle swarm optimisation. The approach provides the Pareto-approximation set consisting of a number of trade-off solutions in view of PVHC and energy loss. A utility can choose a solution for implementation depending on its desired PVHC and/or energy loss level. The results show that the PV deployment in distribution networks reduces the energy loss. However, the amount of energy loss reduction diminishes with higher and higher values of PV capacity integration.

A Review of the Tools and Methods for Distribution Networks’ Hosting Capacity Calculation

“…In the optimization-based method, DER integration is defined as an optimization problem where the objective is to maximize the active power injection of DER into the distribution network while making sure that the distribution network operational limits are satisfied. Sometimes [17,62,63], a multi-objective function is set up to find the HC that results in maximizing the DER integration while minimizing the distribution losses or costs. Other times, a single objective function is defined to maximize the HC [23,[64][65][66][67].…”

“…Various techniques are used to solve the optimization problem. The most common techniques are Particle Swarm Optimization (PSO) [62,68] as it is easy to implement, Artificial Bee Colony (ABC) [69] because of its fast convergence, Robust optimization [70][71][72] as it incorporates the uncertainty of DG output/size/location into the calculation and Genetic Algorithm (GA) [73] since it produces fast results but with a probability of finding near-optimal solutions instead of global optimal solutions.…”

“…Multi-objective optimization methods were developed in [62] and [63] to maximize the DER HC while minimizing the distribution losses [62] and cost [63]. The multi-objective PSO algorithm along with the Pareto-dominance-based approach is used in [62] to optimally site open unified power quality conditioner (UPQC-O) while maximizing the PV HC and minimizing distribution losses simultaneously. It is noted that increasing PV penetration results in increased losses at higher PV penetration levels.…”

Model Predictive Controller based Unified Power Quality Conditioner for Voltage Regulation Studies in 33- Bus Closed Loop Distribution System

“…Modeling, insertion of 'Open-UPQC' integrated PVG-system for improving efficiency of energy & PQof Radial-Distribution-Networks.Similar way UPQC-OWOB, energy extracted from PVA will directly given to the model. Recommended models incorporates in forward&backward-sweeps of load flows to evaluate operating-parameters like node-voltage [14][15][16][17][18].…”

Impact of photovoltaic and biogas power plant on harmonics in distribution network

“…Proposed control strategy also includes load sharing and can be used in microgrids in grid-mode as well as in island-mode. Multi-objective particle-swarm optimisation is used to find optimally place of unified power quality conditioner and is presented in [16].…”