Wind‐driven water wave optimized economic load dispatch for the integration of renewable energy sources in micro‐grid system

• Published in: International transactions on electrical energy systems Vol. 31; no. 12
• Main Authors: Krishnan, Priya R, Jacob, Josephkutty, Paul, Shiny
• Format: Journal Article
• Language: English
• Published: Hoboken Hindawi Limited 01.12.2021
• Subjects: Algorithms; Alternative energy sources; Constraints; convergence; Cost analysis; cost function; economic load dispatch; Economics; Electric power; Electric power systems; Emission; emission function; Energy resources; Energy sources; Hybrid systems; micro‐grid; Optimization; Optimization techniques; Photovoltaic cells; Power dispatch; Renewable energy; Renewable energy sources; renewable energy sources (RESs); Renewable resources; Water waves; Wind
• ISSN: 2050-7038; 2050-7038
• DOI: 10.1002/2050-7038.13183

The complication of economic load dispatch (ELD) of an electrical power system can be considered as an optimization problem with constraints to minimize the cost and emission concurrently. The optimization problems with various objectives gain significant momentum and priority with the advancements in renewable energy sources (RESs). Many techniques have been put forward to dispense this issue, but it still remains a challenging one. The existing optimization approaches are accompanied by a slow gathering rate with inferior computational complexity. To augment the ELD performance with renewable resources, in this research, the hybrid wind‐driven water wave optimization (WDWWO) strategy is presented. The effectiveness of the proposed method is validated by the consideration of the IEEE 30‐bus system. The proposed hybrid method is capable of solving convex and non‐convex economic and emission dispatch issues. From the simulation results, it can be seen that, in the case of both PV and wind, the cost analysis of the developed WDWWO model effectuate 21% reduction when compared with wind‐driven optimization (WDO), 23% reduction when compared with water wave optimization (WWO), 40% reduction when compared with modified shuffle leaf algorithm (MSFLA), and 42% reduction when compared with constrained multi‐objective population external optimization technique (COMPEO) under 200 MW. Combined economic and emission dispatch (CEED) process adopts various kinds of operational constraints to minimize the operating cost and emission of generators. Multi‐objective optimization problems with various objectives gain great momentum and priority with the advancements in renewable energy systems. By considering the valve point loading effect, this article presents the hybrid wind‐driven water wave optimization (WDWWO) strategy to overcome the CEED problems in micro‐grid with the help of solar and wind power cost functions. The proposed hybrid method is capable of solving convex and non‐convex economic and emission dispatch issues. The method is carried out by using IEEE‐30 bus system with renewable energy resources like wind and PV. The proposed optimization model is evaluated under three cases such as wind alone, photovoltaic (PV) alone, both wind and PV to enhance the best resolution of the proposed work. The maximum range of solar irradiance is 763.18 W/m2; wind speed is up to 8 m/s in 24 hours. The proposed method attains cost of $383/h, $628/h, $949/h and the emission values of 0.015, 0.026, 0.042 ton/h under 200, 300 and 400 MW demand power, respectively. The proposed work is implemented in MATLAB Simulink platform, and the proposed strategy is compared with existing approaches in terms of cost, emission, convergence rate analysis, and power generation to enhance the robustness of the proposed methodology.