In this article, a multi-objective planning is demonstrated for reactive power compensation in radial distribution networks with wind generation via unified power quality conditioner (UPQC). UPQC model, based on phase angle control (PAC), is used. In presented method, optimal locating of UPQC-PAC is done by simultaneous minimizing of objective functions such as: grid power loss, percentage of n...

Metaheuristic algorithms are used to solve NP-hard optimization problems. These algorithms have two main components, i.e. exploration and exploitation, and try to strike a balance between exploration and exploitation to achieve the best possible near-optimal solution. The bat algorithm is one of the metaheuristic algorithms with poor exploration and exploitation. In this paper, exploration and ...

The enhancement of photovoltaic (PV) energy systems relies on an accurate PV model. Researchers have made significant efforts to extract parameters due their nonlinear characteristics the system, and lake information from manufactures’ system datasheet. estimation using optimization algorithms is a challenging problem in which wide range research has been conducted. idea behind this challenge s...

The knapsack problem is one of the most widely researched NP-complete combinatorial optimization problems and has numerous practical applications. This paper proposes a quantum-inspired differential evolution algorithm with grey wolf optimizer (QDGWO) to enhance diversity convergence performance improve in high-dimensional cases for 0-1 problems. proposed adopts quantum computing principles suc...

This paper gives and analyses data-driven prediction models for the energy usage of appliances. Data utilized include readings temperature humidity sensors from a wireless network. The building envelope is meant to minimize demand or required power house independent appliance mechanical system efficiency. Approximating mapping function between input variables continuous output variable work reg...