Economic Emission Dispatch of Interconnected Power System with Solar and Wind Integration Using Particle Swarm Optimization
Year: 2026
Type: conference-paper
Abstract: Economic emission dispatch (EED) plays a significant role in modern power systems that incorporate renewable energy sources. The paper introduces a new multi-objective optimization procedure of simultaneously achieving optimum fuel cost and emission in power systems with solar and wind power generation units. The Particle Swarm Optimization (PSO) algorithm is proposed to solve the non-convex and multi-constrained EED problem with inertia weight adaptation. The approach combines modeling of the uncertainty of renewable energy with traditional thermal generators. Compared to the available literature techniques, it performs better. The case studies on a 10-unit interconnected power system have demonstrated that there is a reduction of costs by 8.7 per cent and emission reduction by 12.3 per cent relative to conventional economic dispatch. Findings confirm the efficacy of PSO-based EED to bring the best economic-environmental balance in the contemporary grids with high penetration of renewable energy.
Authors: Siddharth Shukla, Sitaram Pal, Nagendra Singh
Institutions: AISECT University, Trinity College
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7203684720