Computational optimization techniques applied to microgrids planning: A review

By C. Gamarra, Josep M. Guerrero. 2015

362 citations recorded by the source corpus.

Microgrids are expected to become part of the next electric power system evolution, not only in rural and remote areas but also in urban communities. Since microgrids are expected to coexist with traditional power grids (such as district heating does with traditional heating systems), their planning process must be addressed to economic feasibility, as a long-term stability guarantee. Planning a microgrid is a complex process due to existing alternatives, goals, constraints and uncertainties. Usually planning goals conflict each other and, as a consequence, different optimization problems appear along the planning process. In this context, technical literature about optimization techniques applied to microgrid planning have been reviewed and the guidelines for innovative planning methodologies focused on economic feasibility can be defined. Finally, some trending techniques and new microgrid planning approaches are pointed out.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering, Energy Engineering and Power Technology

View Paper: https://www.semanticscholar.org/paper/45c8666ba784065793c371e4b324ab2da592423a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Swagatam Das
2. Carlos Artemio Coello Coello
3. Michael Stadler
4. Gonçalo Cardoso
5. Ponnuthurai Nagaratnam Suganthan
6. Francisco Herrera
7. Xin-She Yang
8. Salman Mashayekh

In Electrical and Electronic Engineering

1. Carlos Artemio Coello Coello
2. Michael Stadler
3. Gonçalo Cardoso
4. Ponnuthurai Nagaratnam Suganthan
5. Francisco Herrera
6. Swagatam Das
7. Xin-She Yang
8. Salman Mashayekh

In Energy Engineering and Power Technology

1. Swagatam Das
2. Xin-She Yang

Citations in the corpus

• A mixed integer linear programming approach for optimal DER portfolio, sizing, and placement in multi-energy microgrids (2017, background): “A comprehensive microgrid investment 143 and planning optimization formulation must address a) power generation mix selection and sizing, b) 144 resource siting and allocation, and c) operation scheduling [10].”
• Bio-inspired computation: Where we stand and what's next (2019, background): “Many other fields such as intelligent transportation systems [399, 400, 401], automated manufacturing [402, 403, 404, 405] or energy systems and smart grids [406, 407, 408, 409] have also been bolstered by bio-inspired optimization methods.”
• Risk-averse stochastic programming approach for microgrid planning under uncertainty (2017, background): “[18], a comprehensive review of computational techniques used in the planning of microgrids is discussed.”