Optimal Service Restoration in Active Distribution Networks Considering Microgrid Formation and Voltage Control Devices

Abstract

is paper presents a new mixed-integer linear programming model for the optimal restoration of active distribution networks during permanent fault events considering not only network reconfiguration but also the islanded operation of distributed generation, thereby giving rise to the formation of microgrids. To that end, the proposed approach accounts for both the black-start capacity of generators and the connection of multiple generators to the same microgrid. Moreover, voltage control devices such as substations' on-load tap changers, voltage regulators, and capacitor banks are also considered in the formulation. e model is driven by the minimization of the outof-service load after single or multiple faults in the network using the minimum number of switching operations and modifications in the statuses of the voltage control devices. e proposed model is implemented in the mathematical modeling language AMPL and solved with the CPLEX solver. Tests are conducted using a 53-node distribution system considering different fault locations. Numerical results show the relevant effect of microgrid formation and voltage control in the restoration process. Simulations also prove the effective performance of the proposed approach in terms of computation time.

Service Restoration Through Microgrid Formation in Distribution Networks: A Review

“…Existing microgrid formation strategies can be broadly categorized into four techniques as shown in Fig. 3 [12]: heuristic rule-based strategy [46], mixed integer linear programming (MILP) [14], [47], graph theory [48], and cluster-based models [49]. The cluster-based models can be categorized into 1) spectral clustering, 2) hierarchical algorithms, and 3) K-Means approach.…”

Optimal Service Restoration in Active Distribution Networks Considering Microgrid Formation and Voltage Control Devices

“…and 1.05 p.u., respectively. Complete data for this system is available in [33]. e values adopted for the parameters of the objective function are 𝜅 = 100 US$/kW, 𝜅 = 10 US$, 𝜅 = 0.01 US$/kW, 𝜅 = 0.01 US$/kVAr, 𝜅 = 1 US$, 𝜅 = 1 US$, and 𝜅 = 1 US$, and 𝜅 = 100 US$.…”

Optimal Switch Placement in Power Distribution Systems with Complex Configurations

“…Studies [4], [5] have emphasized the importance of such resources in the form of distributed generators (DGs) or mobile energy units [6]. While a substantial amount of research has focused on the energy sufficiency, economic viability, and technical limitations of microgrids, others have shed light on microgrid formation through network reconfiguration tactics [7], [8].…”