Topology planning for autonomous MMGs: an ordered binary decision diagram‐based approach. Issue 1 (4th February 2020)

• Record Type: Journal Article
• Authors: Khan, Hafiz Anwar Ullah; Al Hosani, Mohamed; Zeineldin, Hatem
• Is Part Of: IET smart grid. Volume 3:Issue 1(2020)
• Page Start: 60
• Page End: 68
• Publication Date: 2020-02-04
• Subjects: distributed power generation -- graph theory -- optimisation -- load flow -- binary decision diagrams -- smart power grids -- power distribution planning; system voltage index -- hierarchically feasible solution list -- system planner -- combinatorial planning algorithm -- solution space -- system operator -- power flow analysis -- PG&E 69‐bus system -- practical utility systems -- ordered binary decision diagram‐based approach -- operational integration -- individual microgrids -- multiMG structures -- smart grids -- energy arbitrage -- utility operators -- distribution system -- topology planning problem -- ordered binary decision diagrams -- modified Gauss Siedel power flow algorithm -- multitier scheme -- conventional satisfiability checking problem -- individual MGs -- modified balanced partitioning problem -- inequality constraints -- power flow studies -- system‐level performance indices -- total system losses -- self‐adequacy -- topology planning -- autonomous MMG -- holistic algorithm -- graph theory; B0250 Combinatorial mathematics -- B0260 Optimisation techniques -- B8110B Power system management, operation and economics -- B8110D Power system planning and layout -- B8120K Distributed power generation; Smart power grids -- Periodicals; Computer science -- Periodicals; Energy industries -- Periodicals; Broadcasting -- Periodicals; 333.79110285
• DOI: 10.1049/iet-stg.2019.0083
• Languages: English
• ISSNs: 2515-2947

Abstract

Abstract : This paper finds its motivation from the perspective of utility planners, where the flexibility of choice while reconfiguring a distribution system into Multi‐Micrgrids (MMGs) is critical. To address the topology planning problem for MMGs from this dimension, a holistic algorithm incorporating graph theory, ordered binary decision diagrams, and a modified Gauss Siedel power flow algorithm is proposed. This multi‐indexed, multi‐tier scheme guarantees self‐adequacy and reliability of individual microgrids (MGs) by effectively solving a modified balanced partitioning problem, and ensures validation of inequality constraints through power flow studies. The available solutions are ranked according to two system‐level performance indices to provide a hierarchically feasible solution list to system planner. This algorithm is presented as an alternate tool for heuristic techniques to ensure a complete search of solution space and to increase the number of available topology planning solutions for the system operator. The flexibility of choice offered by this planning algorithm, tendency to be employed as a resource assessment tool, and incorporation of power flow analysis for autonomous MGs renders it to be practically superior to its counterparts. The proposed algorithm is tested to furnish its advantages and applicability in practical utility systems.