TY - JOUR
T1 - Bi-Level Operation Scheduling of Distribution Systems with Multi-Microgrids Considering Uncertainties
AU - Esmaeili, Saeid
AU - Anvari-Moghaddam, Amjad
AU - Azimi, Erfan
AU - Nateghi, Alireza
AU - Catalão, João P.S.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Bi-level problem
KW - Correlation
KW - Multi-microgrids
KW - Operation scheduling
KW - Uncertainty
UR - http://www.scopus.com/inward/record.url?scp=85093883886&partnerID=8YFLogxK
U2 - 10.3390/electronics9091441
DO - 10.3390/electronics9091441
M3 - Journal article
SN - 2079-9292
VL - 9
SP - 1
EP - 17
JO - Electronics
JF - Electronics
IS - 9
M1 - 1441
ER -