Design of Solar-Biomass-Biogas Based Hybrid System for Rural Electrification with Environmental Benefits

After so many years of independence, India still has many villages that are not electrified or grid supply is rarely available. However, there is a lot of scope of tapping the renewable energy resources for power generation at these locations. In the present investigation, optimal design of hybrid power system by utilizing locally available renewable energy resources like solar, biomass and biogas has been carried out and presented. Four different configurations have been compared on the basis of techno-economic evaluation.The proposed model has least net present cost (NPC), cost of energy (COE) and negligible green house gas emission

A Cost-Effective Solution for Non-Convex Economic Load Dispatch Problems in Power Systems Using Slime Mould Algorithm

Slime Mould Algorithm (SMA) is a newly designed meat-heuristic search that mimics the nature of slime mould during the oscillation phase. This is demonstrated in a unique mathematical formulation that utilizes adjustable weights to influence the sequence of both negative and positive propagation waves to develop a method to link food supply with intensive exploration capacity and exploitation affinity. The study shows the usage of the SM algorithm to solve a non-convex and cost-effective Load Dispatch Problem (ELD) in an electric power system. The effectiveness of SMA is investigated for single area economic load dispatch on large-, medium-, and small-scale power systems, with 3-, 5-, 6-, 10-, 13-, 15-, 20-, 38-, and 40-unit test systems, and the results are substantiated by finding the difference between other well-known meta-heuristic algorithms. The SMA is more efficient than other standard, heuristic, and meta-heuristic search strategies in granting extremely ambitious outputs according to the comparison records