<span lang="EN-US">This paper focuses on the artificial bee colony (ABC) algorithm, which is a nonlinear optimization problem. proposed to find optimal power flow (OPF). To solve this problem, we will apply ABC algorithm system incorporating wind power. The approach applied standard IEEE-30 with farms located different buses and penetration levels show impact of in order obtain settings c...

This paper proposes a two-level distributed algorithmic framework for solving the AC optimal power flow (OPF) problem with convergence guarantees. The presence of highly nonconvex constraints in OPF poses significant challenges to algorithms based on alternating direction method multipliers (ADMM). In particular, is not provably guaranteed network optimization problems like OPF. order overcome ...

This paper proposes a superior Mixed Integer based hybrid Genetic Algorithm (MIGA) which inherits the advantages of binary and real coded Genetic Algorithm approach. The proposed algorithm is applied for the conventional generation cost minimization Optimal Power Flow (OPF) problem and for the Security Constrained Optimal Power Flow problem. Here, the main shortcoming with the conventional Gene...

Solving AC-Optimal Power Flow (OPF) problems is an essential task for grid operators to keep the power system safe use cases such as minimization of total generation cost or infeed curtailment from renewable DERs (Distributed Energy Resource). Mathematical solvers are often able solve AC-OPF problem but need significant computation time. Artificial neural networks (ANN) have a good application ...

With the inclusion of Information and Communication Technology (ICT) components into the low-voltage (LV) distribution grid, some measurement data from smart meters are available for the control of the distribution networks with high penetration of photovoltaic (PV). This paper undertakes a central voltage-control strategy for smart LV distribution networks, by using a novel optimal power flow ...

` i ABSTRACT The distribution grid is expected to change in the near future as a result of recent advancements in the field of smart grids. The future grid will accommodate generation and storage options, active consumer participation through demand response schemes, and the widespread installation of smart energy management systems. With more demand side participation, distributed generators, ...

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. ...

The present paper applies the recently proposed Augmented Lagrangian Alternating Direction Inexact Newton (ALADIN) method to solve non-convex AC Optimal Power Flow Problems (OPF) in a distributed fashion. In contrast to the often used Alternaring Direction of Multipliers Method (ADMM), ALADIN guarantees locally quadratic convergence for AC-OPF. Numerical results for IEEE 5–300 bus test cases in...

Metaheuristic optimization techniques have successfully been used to solve the Optimal Power Flow (OPF) problem, addressing shortcomings of mathematical techniques. Two most popular metaheuristics are Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The literature surrounding GA PSO OPF is vast not adequately organized. This work filled this gap by reviewing prominent works analyzi...

This paper presents an e cient and reliable tabu search (TS)–based approach to solve the optimal power ow (OPF) problem. The proposed approach employs TS algorithm for optimal settings of the control variables of the OPF problem. Incorporation of TS as a derivative-free optimization technique in solving OPF problem signiŽcantly reduces the computational burden. One of the main advantages of T...