Grasshopper Optimization Algorithm (GOA) is a recent swarm intelligence algorithm inspired by the foraging and swarming behavior of grasshoppers in nature. The GOA algorithm has been successfully applied to solve various optimization problems in several domains and demonstrated its merits in the literature. This paper proposes a comprehensive review of GOA based on more than 120 scientific articles published by leading publishers: IEEE, Springer, Elsevier, IET, Hindawi, and others. It provides the GOA variants, including multi-objective and hybrid variants. It also discusses the main applications of GOA in various fields such as scheduling, economic dispatch, feature selection, load frequency control, distributed generation, wind energy system, and other engineering problems. Finally, the paper provides some possible future research directions in this area.

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Grasshopper Optimization Algorithm: Theory, Variants, and Applications

https://www.econstor.eu/bitstream/10419/244147/1/1728587611.pdf

Multi-objective for optimal placement and sizing DG units in reducing loss of power and enhancing voltage profile using BPSO-SLFA

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2050-7038.12230

Loss minimization techniques for optimal operation and planning of distribution systems: A review of different methodologies

ABC algorithm based optimal sizing and placement of DGs in distribution networks considering multiple objectives

Optimization of distribution system operation by network reconfiguration and DG integration using MPSO algorithm

Emerging smart grid technologies in electric distribution network (EDN) planning, operation, and automation require fast and efficient power flow methods. This imposes the continual search for speedy and effective power flow algorithms for EDNs. The present paper illustrates a survey and summary of recent developments in power flow methods. Several technical approaches have been presented for optimal power flow methods for power loss identification and distributed generation (DG) allocation in EDNs. The main contribution of the present survey paper is calculation of network power loss using power flow methods in radial distribution networks (RDNs). Here two major power flow methods used are forward and backward sweep (FBS) and direct approach (DA). The methods are compared on the basis of loss reduction and minimum voltage bus identification capability. The present survey provides the researchers a clear idea of power flow methods utilized in EDN performance enhancement. The power flow analysis is carried out on different EDNs, i.e., small, medium and large scale. Later DG allocation is carried out by using a novel meta-heuristic algorithm called grasshopper optimization algorithm (GOA). The results obtained are compared with existing techniques.

A Survey on Load/Power Flow Methods and DG Allocation Using Grasshopper Optimization Algorithm in Distribution Networks.

Renewable energy source allocation in electrical distribution system using water cycle algorithm

Attaining optimal long-term benefits with suitable distributed generation (DG) allocation in power distribution networks remains a major challenge. Because improper DG allocation has a negative impact on the power distribution network. The current research presents a unique metaheuristic optimization approach for resolving allocation of renewable source allocation in power distribution network. The present algorithm effectively developed on a real-world Indian 28-bus network to deploy wind and solar generation for pursuing technical benefits such as minimization of power loss and voltage deviation. The current method's simulation results are compared to those reported in the literature and determined to be superior.

Kola Sampangi Sambaiah

Papers

A Survey on Load/Power Flow Methods and DG Allocation Using Grasshopper Optimization Algorithm in Distribution Networks.

Renewable energy source allocation in electrical distribution system using water cycle algorithm

Optimal Mix and allocation of Solar and Wind Energy Sources in Active Distribution System Using Jaya Optimization Algorithm

Optimal Distributed Generation Allocation in Practical Distribution System in the Presence of Plug-in Electric Vehicles

A Study on Challenges in Adoption of Electric Vehicle and Vehicle-to-Grid Technologies in India