Multi‐objective fuzzy‐based procedure for enhancing reactive power management

Abstract

This study proposes a multi-objective fuzzy-based procedure for solving reactive power management in competitive environment. The proposed procedure incorporates both economical and technical aspects of reactive power support. The economical aspect aims to minimise the total costs of reactive power purchase from service providers as primary objective function, whereas the technical aspect is taken care of through the secondary objective function that minimises the total transmission losses. The proposed procedure achieves security constraints such as the bus voltage limits, reactive power capability limits and transmission line reactive transfer limits. The proposed procedure is applied to the west-delta region system as a part of the Egyptian Unified network. The numerical results show that the proposed procedure achieves a minimum real power loss with maximal reactive reserve for power systems for different operating conditions.

An Improved Grey Wolf Optimization Algorithm with Variable Weights

“…On the contrary, some grey wolves are expected to remain global searching to avoid being trapped in local optima. Considering these reasons, a controlling parameter declined exponentially [44] is introduced as described below:α=αme−it/M,where a m is the maximum value and M is an admissible maximum iteration number. The parameter M restricts the algorithm to avoid long time running and nonconvergence.…”

Reconfiguration process for neuronal classification models: Application to a quality monitoring problem

“…In this study, we focus on a robotic lacquering workstation because it has the highest defect rate. In literature, many industrial optimization problems have been considered and we can cite without to be exhaustive, logistics infrastructure problems Lempert, 2015, Lempert et al 2015), or continuous regulation problems (El Sehiemy et al 2013, David et al 2014. The main objective of this application is to determine the optimal tuning of the robotic lacquering workstation in order to reduce the defects rate.…”

An Efficacious Multi-Objective Fuzzy Linear Programming Approach for Optimal Power Flow Considering Distributed Generation

“…In fact, fuzzy set optimization models offer compromise tools that perform such tasks. Using these tools, we can obtain realistic models that deal with given fuzzy objectives based the subjective targets and past experiences of a power system planner [ 20 , 21 ]. The viability of fuzzy set theory in various applications, including power system operation, planning, and control, has been proven; hence, this theory has been receiving increasing attention and has become the choice of many of electrical engineers [ 22 ].…”

“…The viability of fuzzy set theory in various applications, including power system operation, planning, and control, has been proven; hence, this theory has been receiving increasing attention and has become the choice of many of electrical engineers [ 22 ]. In particular, fuzzy set theory is efficacious in solving MOOPF optimization problems [ 21 ]. This feature is attributed to its capability to coordinate various competence and incommensurable objectives of the optimization problem and provide a unique solution that successfully achieves the objectives of system planners.…”

“…In recent years, only a few studies have documented the solution to the MOOPF problem using fuzzy logic approaches. El Sehiemy et al [ 21 ] solved the MOOPF problem using a fuzzy-based technique by considering the minimization of reactive power generation cost and real power loss as objective functions. Abou El-Elaet al[ 23 ] developed a modified multi-objective fuzzy linear programming optimization (MFLP) algorithm to solve the MOOPF problem by considering generation cost, preventive control action, as well as pre- and post-emergency conditions.…”