Jie Ma¹, Tong Zhao², Yuanzhao Hao³, Wenwen Qin², Haozheng Yu¹, Mingxuan Du², Yuanhong Liu⁴, Liang Zhang², Shixia Mu⁵, Cuiping Li², Junhui Li^2,*

Energy Engineering, Vol.121, No.9, pp. 2449-2477, 2024, DOI:10.32604/ee.2024.051244 - 19 August 2024

Abstract After the integration of large-scale Distributed Generation (DG) into the distribution network, the randomness and volatility of its output result in a reduction of spatiotemporal alignment between power generation and demand in the distribution network, exacerbating the phenomenon of wind and solar power wastage. As a novel power system model, the fundamental concept of Regional Autonomous Power Grids (RAPGs) is to achieve localized management and energy autonomy, thereby facilitating the effective consumption of DGs. Therefore, this paper proposes a distributed resource planning strategy that enhances the autonomy capabilities of regional power grids by considering multiple… More > Graphic Abstract

Julius Beneoluchi Odili^a, Mohd Nizam Mohmad Kahar^a, A. Noraziah^a,b, M. Zarina^c, Riaz Ul Haq^a

Intelligent Automation & Soft Computing, Vol.24, No.4, pp. 759-769, 2018, DOI:10.1080/10798587.2017.1334370

Abstract This paper carries out a performance analysis of major Nature-inspired Algorithms in solving the benchmark symmetric and asymmetric Traveling Salesman’s Problems (TSP). Knowledge of the workings of the TSP is very useful in strategic management as it provides useful guidance to planners. After critical assessments of the performances of eleven algorithms consisting of two heuristics (Randomized Insertion Algorithm and the Honey Bee Mating Optimization for the Travelling Salesman’s Problem), two trajectory algorithms (Simulated Annealing and Evolutionary Simulated Annealing) and seven population-based optimization algorithms (Genetic Algorithm, Artificial Bee Colony, African Buffalo Optimization, Bat Algorithm, Particle Swarm… More >