Distributed OPF Algorithm for System-Level Control of Active Multi-Terminal DC Distribution Grids

Korompili, Asimenia; Pandis, Petros; Monti, Antonello

doi:10.1109/access.2020.3010876

Cited by 10 publications

(6 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some relevant examples deal with the energy management of multi-energy systems, such as the event-triggered coordination approach presented in [21] and the distributed double-Newton descent algorithm proposed in [22]. However, distributed optimization approaches are also used for solving economic dispatch problems [23] and to determine optimal power flows [24]. Distributed methods are promising, as they can provide more flexibility for consumers, safeguarding their individual information, while distributing the computation tasks to individual consumers.…”

Section: Definitionmentioning

confidence: 99%

Consumer Flexibility Aggregation Using Partition Function Games With Non-Transferable Utility

2021

View full text Add to dashboard Cite

This paper explores the aggregation of electricity consumers flexibility. A novel coalitional game theory model for partition function games with non-transferable utility is proposed. This model is used to formalize a game in which electricity consumers find coalitions among themselves in order to trade their consumption flexibility in the electricity market. Utility functions are defined to enable measuring the players preferences. Two case studies are presented, including a simple illustrative case, which assesses and explains the model in detail; and a large-scale scenario based on real data, comprising more than 20,000 consumers. Results show that the proposed model is able to reach solutions that are more suitable for the consumers when compared to the solutions achieved by traditional aggregation techniques in power and energy systems, such as clustering-based methodologies. The solutions found by the proposed model consider the perspectives from all players involved in the game and thus are able to reflect the rational behaviour of the involved players, rather than imposing an aggregation solution that is only beneficial from the perspective of the aggregator.

show abstract

Section: Definitionmentioning

confidence: 99%

Consumer Flexibility Aggregation Using Partition Function Games With Non-Transferable Utility

2021

View full text Add to dashboard Cite

show abstract

“…This solution is similar to [14] as it allows a system supervisor to coordinate distributed controllers over a star communications network to cooperate in the solution search. The modular distributed framework exists in [16], [17]. In ADPSO, the solution search requires only the exchange of the state variable between agents and the supervisor completely in asynchronous manner [20], meaning that there is no need for synchronization between distributed controllers and the supervisor does not need to wait for every controller to progress in order to update the state variable.…”

Section: B Contributionsmentioning

confidence: 99%

“…Moreover, the collaborative operation of ADPSO algorithm allows the reduction of the swarm population on each computational agent, which implies lower function evaluations in that agent. This implies a potential lack of need of powerful computers similar to [16], but different to the majority of DEM algorithms. With this, the integration of DEM on DER controllers is expected.…”

Section: B Contributionsmentioning

confidence: 99%

“…This work X: Not applicable, : Low, : Medium, : High of ADMM is proposed to solve optimization problems over a star computer network. In [16], an optimal power flow problem is formulated and solved by Distributed Control Units in a modular framework; the lack of need for powerful computers for these units is remarked. The adoption of a modular framework is also present in [17] where a PSO algorithm to solve general optimization problems cooperatively by sharing the optimization variable and performing a finite-time average consensus algorithm for each step is presented.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Microgrid Energy Management With Asynchronous Decentralized Particle Swarm Optimization

et al. 2021

View full text Add to dashboard Cite

Controlling distributed energy resources (DERs) in low voltage microgrids is a challenging task for operators. The simultaneous operation of independent small-scale DER owners could compromise the operator's hierarchical and centralized control to reach system stability and cost optimization. Recent Decentralized Energy Management (DEM) approaches provide flexibility for DERs control, but several existing solutions depend on powerful and expensive computer clusters and their ability to deal with a high burden of data in the communication channel. This work is motivated towards a DEM framework that involves independent DER owners while microgrid operator still maintains a hierarchical control philosophy. The framework must include a method to reduce the need of powerful computer clusters and depend on low bandwidth communications channel. Here, a multi-layered framework for every DER, consisting of physical, control, and agent layers for DEM is approached, where the agent layer participates in the energy management task. An Asynchronous Decentralized PSO (ADPSO) algorithm is proposed for the agent layer based on its primal characteristic: it can reach a consensus state between networked computing units by exchanging asynchronously only the state variable through the communications channel. The proposed solution allows the integration of DEM capabilities within the physical controller of the DERs, distinguishing it from other decentralized solutions. Easiness of implementation and low computational requirements are shown by performing DEM tests on single board computers. The tests show improved convergence rate, improved swarm diversity behavior and fast consensus reaching of DEM optimization.

show abstract

“…In this case, the economic dispatch problem becomes an optimal power flow (OPF) problem. The existing distributed algorithms for OPF have been comprehensively analyzed in [22], [23], [24]. There are mainly six distributed OPF algorithms applicable for economic dispatch: analytical target cascading (ATC), alternating direction method of multipliers (ADMM), proximal message passing (PMP), auxiliary problem principle (APP), optimality condition decomposition (OCD), and consensus + innovations (C+I).…”

Section: Introductionmentioning

confidence: 99%

Bus-Privacy-Preserving Distributed Economic Dispatch Method for Power Systems Using Iteration Functions

Peng

Tan

et al. 2022

IEEE Access

View full text Add to dashboard Cite

The sufficiency of electricity market competition and the economy of power system operation require that the economic dispatch should not only preserve the bus privacy but consider network losses. The existing economic dispatch methods, however, can't preserve the privacy of each bus from leakage and even complicate the solution when they reasonably consider network losses, due to the coupling complexity of network losses. To address these issues, this paper presents a novel distributed economic dispatch (DED) method based on KKT optimality conditions and iteration functions. It focuses on an economic dispatch model that contains bus active power balance equations and generator power limit inequalities. First, the model's KKT optimality conditions with inequalities are simplified to equivalent pure equality-type optimality conditions. Then a set of iteration functions is created using the Taylor series, which overcomes the difficulty caused by the fact that unknown bus voltage phases are completely contained in the sine and cosine functions of optimality conditions. Finally, a fast fixed-point iteration procedure is proposed for bus agents to solve the economic dispatch model. The proposed method reasonably considers network losses by using the set of bus active power balance equations. It not only preserves the privacy of each bus from leakage but is straightforward in solution (does not complicate the solution). In addition, it is fully bus-level distributed. Numerical simulation results of systems with different sizes verified the effectiveness and advantages of the proposed method.

show abstract

Distributed OPF Algorithm for System-Level Control of Active Multi-Terminal DC Distribution Grids

Abstract: This work has been funded by the Bundesministerium für Forschung und Bildung, Forschungscampus Elektrische Netze der Zukunft (FKZ: 03SF0490 and FKZ: 03SF0594).

Cited by 10 publications

References 38 publications

Consumer Flexibility Aggregation Using Partition Function Games With Non-Transferable Utility

Consumer Flexibility Aggregation Using Partition Function Games With Non-Transferable Utility

Microgrid Energy Management With Asynchronous Decentralized Particle Swarm Optimization

Bus-Privacy-Preserving Distributed Economic Dispatch Method for Power Systems Using Iteration Functions

Contact Info

Product

Resources

About