Metaheuristics for Transmission Network Expansion Planning

Chicco, Gianfranco; Mazza, Andrea

doi:10.1007/978-3-030-49428-5_2

Cited by 2 publications

(1 citation statement)

References 69 publications

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“…This complexity has led to extensive and precise studies for the planning of these grids at different generation, transmission, and distribution levels. Due to the long life and wide geographical area of electric energy grids and the very high costs related to their construction and operation, it is necessary to plan these grids in a completely optimal way to avoid additional costs [9].…”

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confidence: 99%

Optimum Investment Planning for Development and Operation of Electricity Network in Presence of Renewable Units

Seyed Hoseini,

Mohammadzadeh,

Seighli

et al. 2023

IJEE

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With the increase in world population and limited energy resources, countries have faced the high demand of energy and energy consumption problem. The crisis that threaten countries and human societies are the limited resources of non-renewable (fossil) energy and the increase in environmental pollution caused by excessive consumption of fossil fuels and global warming. These factors have motivated researchers and investors in the energy sector to control and supply energy from renewable sources. The uncertainty caused by these generations can have many effects on the costs imposed on the network and the operation of the electricity networks, such as an increase in power outages and unsupplied energy. Network development planning is one of the important issues in the power system to meet the growth of electricity demand in the coming years due to urban development, increasing social welfare, energy security, and job creation. The final objective of this model is to minimize energy losses, investment and operating costs, unsupplied energy, and environmental pollutants. The proposed methods have been implemented by MATLAB software on the Garver electricity network and the IEEE 33-bus distribution network and solved by PSO algorithms. The final model can be effectively used for planning the supply chain of the conventional electricity network with the penetration of renewable energy-based generations in various economic, environmental, and social dimensions.

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mentioning

confidence: 99%

Optimum Investment Planning for Development and Operation of Electricity Network in Presence of Renewable Units

Seyed Hoseini,

Mohammadzadeh,

Seighli

et al. 2023

IJEE

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The bee-benders hybrid algorithm with application to transmission expansion planning

MacRae

Özlen

Ernst

2021

Proceedings of the Genetic and Evolutionary Computation Conference Companion

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This paper introduces a novel hybrid optimisation algorithm that combines elements of both metaheuristic search and integer programming. This new matheuristic combines elements of Benders decomposition and the Bees Algorithm, to create the Bee-Benders Hybrid Algorithm (BBHA) which retains many of the advantages both of the methods.Specifically it is designed to be easily parallelizable, to produce good solutions quickly while still retaining a guarantee of optimality when run for a sufficiently long time. The algorithm is tested using a transmission network expansion and energy storage planning model, a challenging and very large scale mixed integer linear programming problem.Transmission network planning problems are already difficult on their own. When including the planning for storage systems in the network, the variation of demand over time has to be taken into account significantly increasing the size and difficulty of the optimization problem. The BBHA is shown to be highly effective hybrid matheuristic algorithm that performs at least as well as either Benders decomposition or the Bees Algorithm where these are effective on their own, and significantly improves upon the individual approaches where neither component part has a pronounced advantage. While the paper demonstrates the effectiveness in terms of the concrete electricity network planning problem, the algorithm could be readily applied to any mixed integer linear program, and is expected to work particularly well whenever this has a structure that is amenable to Benders decomposition.

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Metaheuristics for Transmission Network Expansion Planning

Cited by 2 publications

References 69 publications

Optimum Investment Planning for Development and Operation of Electricity Network in Presence of Renewable Units

Optimum Investment Planning for Development and Operation of Electricity Network in Presence of Renewable Units

The bee-benders hybrid algorithm with application to transmission expansion planning

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