Coordinated short-term scheduling and long-term expansion planning in microgrids incorporating renewable energy resources and energy storage systems

this paper presents a two-level stochastic microgrid planning tool. The proposed tool determines the optimal location and size of different technologies through a long-term plan as well as the optimal operation strategy for technologies through a short-term plan. The proposed planning tool considers...

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Bibliographic Details
Published in:Energy (Oxford) Vol. 134; pp. 699 - 708
Main Authors: Hemmati, Reza, Saboori, Hedayat, Siano, Pierluigi
Format: Journal Article
Language:English
Published: Oxford Elsevier Ltd 01.09.2017
Elsevier BV
Subjects:
algorithms
Alternative energy
Alternative energy sources
Computer simulation
Distributed generation
Electric power grids
Electricity distribution
energy
Energy resources
Energy sources
Energy storage
Energy storage system
Heuristic methods
Line reinforcement
Long-term planning
Microgrid
Mixed integer
Nonlinear programming
planning
Renewable energy
renewable energy sources
Renewable resources
Resource expansion planning
Scheduling
Stochastic programming
Storage systems
uncertainty
Line reinforcement
Resource expansion planning
Microgrid
Energy storage system
Stochastic programming
ISSN:0360-5442, 1873-6785
Online Access:Get full text
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Summary:this paper presents a two-level stochastic microgrid planning tool. The proposed tool determines the optimal location and size of different technologies through a long-term plan as well as the optimal operation strategy for technologies through a short-term plan. The proposed planning tool considers distributed generation resources, energy storage systems, and lines as candidates for the expansion. One of the key characteristics of the introduced planning is its ability to tackle load and renewable energies uncertainties through stochastic planning. Both the long-term and short-term plans are mathematically expressed as mixed integer nonlinear programming problems and solved by using a strong Meta-heuristic optimization algorithm. Simulation results demonstrate that the proposed two-level planning method reduces the planning cost compared to the conventional method (i.e., only long-term planning). As well, it is indicated that considering line as an option for the expansion reduces the planning cost and increases the flexibility of the planning. •A stochastic expansion planning is addressed on microgrids.•The planning tool includes two long-term and short-term plans.•Wind unit, solar panel, energy storage system, and line are installed by plan.•The planning tool is expressed as a mixed integer nonlinear programming.•Meta-heuristic optimization algorithm is applied so solve the problem.
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ISSN:0360-5442
1873-6785
DOI:10.1016/j.energy.2017.06.081