Next Article in Journal
Corporate Social Responsibility and Crowdfunding: The Experience of the Colectual Platform in Empowering Economic and Sustainable Projects
Previous Article in Journal
COVID-19 Pandemic Response in Japan: What Is behind the Initial Flattening of the Curve?
Open AccessArticle

A Harris Hawks Optimization Based Single- and Multi-Objective Optimal Power Flow Considering Environmental Emission

1
Department of Electrical and Electronic Engineering, Advanced Lightning Power and Energy Research (ALPER), Universiti Putra Malaysia (UPM), Serdang, Selangor 43400, Malaysia
2
Center for Research on Microgrids (CROM), Department of Energy Technology, Aalborg University, 9220 Aalborg East, Denmark
*
Authors to whom correspondence should be addressed.
Sustainability 2020, 12(13), 5248; https://doi.org/10.3390/su12135248
Received: 29 January 2020 / Revised: 5 March 2020 / Accepted: 11 March 2020 / Published: 28 June 2020
(This article belongs to the Section Energy Sustainability)
The electric sector is majorly concerned about the greenhouse and non-greenhouse gas emissions generated from both conventional and renewable energy sources, as this is becoming a major issue globally. Thus, the utilities must adhere to certain environmental guidelines for sustainable power generation. Therefore, this paper presents a novel nature-inspired and population-based Harris Hawks Optimization (HHO) methodology for controlling the emissions from thermal generating sources by solving single and multi-objective Optimal Power Flow (OPF) problems. The OPF is a non-linear, non-convex, constrained optimization problem that primarily aims to minimize the fitness function by satisfying the equality and inequality constraints of the system. The cooperative behavior and dynamic chasing patterns of hawks to pounce on escaping prey is modeled mathematically to minimize the objective function. In this paper, fuel cost, real power loss and environment emissions are regarded as single and multi-objective functions for optimal adjustments of power system control variables. The different conflicting framed multi-objective functions have been solved using weighted sums using a no-preference method. The presented method is coded using MATLAB software and an IEEE (Institute of Electrical and Electronics Engineers) 30-bus. The system was used to demonstrate the effectiveness of selective objectives. The obtained results are compared with the other Artificial Intelligence (AI) techniques such as the Whale Optimization Algorithm (WOA), the Salp Swarm Algorithm (SSA), Moth Flame (MF) and Glow Warm Optimization (GWO). Additionally, the study on placement of Distributed Generation (DG) reveals that the system losses and emissions are reduced by an amount of 9.8355% and 26.2%, respectively. View Full-Text
Keywords: harris hawk optimization (HHO); optimal power flow (OPF); salp swarm algorithm (SSA); whale optimization algorithm (WOA) harris hawk optimization (HHO); optimal power flow (OPF); salp swarm algorithm (SSA); whale optimization algorithm (WOA)
Show Figures

Figure 1

MDPI and ACS Style

Islam, M.Z.; Wahab, N.I.A.; Veerasamy, V.; Hizam, H.; Mailah, N.F.; Guerrero, J.M.; Mohd Nasir, M.N. A Harris Hawks Optimization Based Single- and Multi-Objective Optimal Power Flow Considering Environmental Emission. Sustainability 2020, 12, 5248.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop