This paper presents a distributed consensus-based approach to solve the economic dispatch problem with power generator constraints and transmission losses. Buses and transmission lines in the power system are modeled as nodes and edges in a communication graph, respectively. Each node exchanges information with its neighbors and runs two consensus algorithms in parallel, without relying on a centralized decision maker. A consensus algorithm plus a correction term is run to reach consensus on a Lagrangian variable to satisfy the generation-demand equality constraint, while another consensus algorithm is used to estimate the power mismatch in the network. Thus, each generating unit computes its output power according to its cost function. Advantages and limitations of the proposed approach are discussed. Finally, the algorithm is validated by means of numerical simulations on several benchmarks.
Consensus-based Approach for the Economic Dispatch Problem / Binetti, G; Naso, D; Turchiano, B; Davoudi, A; Lewis, Fl. - ELETTRONICO. - 47:3(2014), pp. 3140-3145. (Intervento presentato al convegno 19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014 tenutosi a Cape Town, South Africa nel August 24-29, 2014) [10.3182/20140824-6-ZA-1003.01786].
Consensus-based Approach for the Economic Dispatch Problem
Binetti G;Naso D;Turchiano B;
2014-01-01
Abstract
This paper presents a distributed consensus-based approach to solve the economic dispatch problem with power generator constraints and transmission losses. Buses and transmission lines in the power system are modeled as nodes and edges in a communication graph, respectively. Each node exchanges information with its neighbors and runs two consensus algorithms in parallel, without relying on a centralized decision maker. A consensus algorithm plus a correction term is run to reach consensus on a Lagrangian variable to satisfy the generation-demand equality constraint, while another consensus algorithm is used to estimate the power mismatch in the network. Thus, each generating unit computes its output power according to its cost function. Advantages and limitations of the proposed approach are discussed. Finally, the algorithm is validated by means of numerical simulations on several benchmarks.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
