This paper proposes an artificial bee colony (ABC) algorithm for solving optimal power flow (OPF) problem. The objective of the OPF problem is to minimize total cost of thermal units while satisfying the unit and system constraints such as generator capacity limits, power balance, line flow limits, bus voltages limits, and transformer tap settings limits. The ABC algorithm is an optimization me...

Modern power networks often have partitioned structures, with disjoint parts of the network being operated by competing agents. It is therefore of significant interest to be able to solve the Optimal Power Flow (OPF) problem for the entire network in a distributed manner without requiring significant exchange of sensitive operational information between rival operators. For networks whose regio...

Different energy infrastructures, such as electricity, natural gas and local district heating systems utilized for the energy supply are most often planned and operated independently of each other. This paper addresses the optimization of combined electricity and natural gas networks. The couplings between the two energy infrastructures are taken into account with the novel concept of energy hu...

Optimal power flow (OPF) over power transmission networks poses challenging large-scale nonlinear optimization problems, which involve a large number of quadratic equality and indefinite quadratic inequality constraints. These computationally intractable constraints are often expressed by linear constraints plus matrix additional rank-one constraints on the outer products of the voltage vectors...

Introduction: Optimal power flow (OPF) is an enhanced form of the economic dispatch (ED) optimisation problem where both active and reactive powers are treated as control variables and adjusted to minimise generation cost while observing associated power flow constraints. The constraints include but are not limited to thresholds on bus voltages, reactive power generation and the thermal ratings...

Under the competitive environments, power companies may calculate optimal power flow (OPF) in many occasions: especially for such real time applications as contingency analysis and congestion management. However, caused by congestions, etc., it is not guaranteed that OPF has the feasible solution in every calculation case. This paper proposes a new optimal power flow calculation model applicabl...

In spite of the significant advance achieved in development optimal power flow (OPF) programs, most solution methods reported literature have considerable difficulties dealing with different-nature objective functions simultaneously. By leveraging recent progress on semidefinite programming (SDP) relaxations OPF, present article, attention is focused modeling a new SDP-based multiobjective OPF ...

In this study, a multiobjective optimization is applied to Optimal Power Flow Problem (OPF). To effectively achieve this goal, a Multiobjective Ant Lion algorithm (MOALO) is proposed to find the Pareto optimal front for the multiobjective OPF. The aim of this work is to reach good solutions of Active and Reactive OPF problem by optimizing 4-conflicting objective functions simultaneously. Here a...

Electricity markets in both developed and developing countries have been considerably reorganized over the previous two decades. The unbundling of generation transmission results restructured electricity market which enhances competition among traders regime open access. Therefore, pricing methods should be skilled translating costs into tariffs to allow participation, leads profitable effectiv...

Renewable energies are increasingly integrated in electric distribution networks and will cause severe overvoltage issues. Smart grid technologies make it possible to use coordinated control to mitigate the overvoltage issues and the optimal power flow (OPF) method is proven to be efficient in the applications such as curtailment management and reactive power control. Nonconvex nature of the OP...