Optimal power flow (OPF) objective functions involve minimization of the total fuel costs of generating units, minimization of atmospheric pollutant emissions, minimization of active power losses and minimization of voltage deviations. In this paper, a fuzzy multi-objective OPF model is established by the fuzzy membership functions and the fuzzy satisfaction-maximizing method. The improved arti...

In recent years, the renewable energy Distributed Generation (DG) sources like Photovoltaic, Wind farms gain more importance in the distribution network due to its fuel free, emission less operation and their system loss reduction capability, when they are placed in an optimal place/location with an optimal size. This paper presents the application of Self-Adaptive Differential Evolution Algori...

A power system, under heavily loaded conditions, is at high risks of probable line outage and consequent voltage instability problem. Real power loss and voltage deviation minimization are reliable indicators of voltage security of power networks. This paper proposes a Particle Swarm Optimization (PSO) based optimal location and sizing of Static Var Compensator (SVC) to

Energy efficiency has become a very important concern for enterprise data centers due to the significant cost on electricity. To improve the energy efficiency of data centers, researchers and practitioners have proposed enormous work to reduce the energy consumption of data centers. Most of previous work focus on reducing the energy consumption of IT equipment; however, the power losses caused ...

The objective of this paper is to apply the Hybrid Efficiency Loss Minimization control scheme [1] into a FOC controlled ACIM motor drive in order to improve the fast on-line loss minimization control through flux control,. The proposed controller combines a Loss Model Controller (LMC) to control the transient states and a Fuzzy Logic Search Control system (FLSC) to control steady states. The L...

The imminent convergence of computer, communications, and consumer electronic products and market implies a need for optimization intensive techniques for synthesis of low power hard real-time systems. In this paper, we present a system-level approach for power minimization under a set of user-speciied costs and timing constraints of hard real-time designs. The approach simultaneously optimizes...

This paper presents the particle swarm optimization (PSO) algorithm for solving the optimal distribution system reconfiguration problem for power loss minimization. The proposed methodology determines control variable settings, such as the number of shunts to be switched, for real power loss minimization in the transmission system. The problem is formulated as a nonlinear optimization problem. ...

Real-time media communication requires not only congestion control, but also minimization of queuing delays to provide interactivity. In this work we consider the case of real-time communication between web browsers (WebRTC) and we focus on the interplay of an end-to-end delay-based congestion control algorithm, i.e. the Google congestion control (GCC), with two delay-based AQM algorithms, name...