Bi-Level Operation Scheduling of Distribution Systems with Multi-Microgrids Considering Uncertainties

A bi-level operation scheduling of distribution system operator (DSO) and multi-microgrids (MMGs) considering both the wholesale market and retail market is presented in this paper. To this end, the upper-level optimization problem minimizes the total costs from DSO’s point of view, while the profit...

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Vydáno v:Electronics (Basel) Ročník 9; číslo 9; s. 1441
Hlavní autoři: Esmaeili, Saeid, Anvari-Moghaddam, Amjad, Azimi, Erfan, Nateghi, Alireza, P. S. Catalão, João
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.09.2020
Témata:
Alternative energy sources
Costs
Decision making
Decision theory
Distributed generation
Energy management
Energy resources
Heuristic methods
Integer programming
Linear programming
Market prices
Mixed integer
Monte Carlo simulation
Operation scheduling
Optimization
Scheduling
Uncertainty
ISSN:2079-9292, 2079-9292
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Abstract A bi-level operation scheduling of distribution system operator (DSO) and multi-microgrids (MMGs) considering both the wholesale market and retail market is presented in this paper. To this end, the upper-level optimization problem minimizes the total costs from DSO’s point of view, while the profits of microgrids (MGs) are maximized in the lower-level optimization problem. Besides, a scenario-based stochastic programming framework using the heuristic moment matching (HMM) method is developed to tackle the uncertain nature of the problem. In this regard, the HMM technique is employed to model the scenario matrix with a reduced number of scenarios, which is effectively suitable to achieve the correlations among uncertainties. In order to solve the proposed non-linear bi-level model, Karush–Kuhn–Tucker (KKT) optimality conditions and linearization techniques are employed to transform the bi-level problem into a single-level mixed-integer linear programming (MILP) optimization problem. The effectiveness of the proposed model is demonstrated on a real-test MMG system.
AbstractList A bi-level operation scheduling of distribution system operator (DSO) and multi-microgrids (MMGs) considering both the wholesale market and retail market is presented in this paper. To this end, the upper-level optimization problem minimizes the total costs from DSO’s point of view, while the profits of microgrids (MGs) are maximized in the lower-level optimization problem. Besides, a scenario-based stochastic programming framework using the heuristic moment matching (HMM) method is developed to tackle the uncertain nature of the problem. In this regard, the HMM technique is employed to model the scenario matrix with a reduced number of scenarios, which is effectively suitable to achieve the correlations among uncertainties. In order to solve the proposed non-linear bi-level model, Karush–Kuhn–Tucker (KKT) optimality conditions and linearization techniques are employed to transform the bi-level problem into a single-level mixed-integer linear programming (MILP) optimization problem. The effectiveness of the proposed model is demonstrated on a real-test MMG system.
Author Azimi, Erfan
Esmaeili, Saeid
Anvari-Moghaddam, Amjad
P. S. Catalão, João
Nateghi, Alireza
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crossref_primary_10_1002_2050_7038_13035
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SubjectTerms Alternative energy sources
Costs
Decision making
Decision theory
Distributed generation
Energy management
Energy resources
Heuristic methods
Integer programming
Linear programming
Market prices
Mixed integer
Monte Carlo simulation
Operation scheduling
Optimization
Scheduling
Uncertainty
Title Bi-Level Operation Scheduling of Distribution Systems with Multi-Microgrids Considering Uncertainties
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