Fully distributed economic dispatch of distributed generators in active distribution networks considering losses

Kouveliotis-Lysikatos, Iasonas; Hatziargyriou, Nikos D.

doi:10.1049/iet-gtd.2016.0616

Cited by 43 publications

(19 citation statements)

References 37 publications

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“…IEEE57-bus system contains seven generators units located on buses {1, 2, 3, 6, 8, 9, 12}. Besides, we selected the buses with load power as the load buses, which are all buses except for buses {4, 7,11,21,22,24,26,34,36,37,39,40,45,46, 48} in the IEEE57-bus system. By analyzing the load power data of IEEE57-bus, the summation of the power load could be calculated as P 0 = 1250.8 MW, which was unknown to each individual node.…”

Section: Case 3: Implementation On Ieee 57-bus Systemmentioning

confidence: 99%

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Distributed Absorption and Half-Search Approach for Economic Dispatch Problem in Smart Grids

Zhang

et al. 2019

Energies

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The economic dispatch problem (EDP) is a significant class of optimization issues in the power system, which works on minimizing the total cost when generating a certain amount of power. A novel distributed approach for EDP is proposed in this paper. The presented approach consists of two steps. The first step, named absorption search, is to simplify the network structure through absorption searching. A flooding-based consensus approach is applied in the first step, which can be used to achieve consensus information among nodes. After the first step, only the generation nodes are kept in the network. The data collection can be completed by local computation and communication between neighbors. The first step can be considered as the stage of gathering information. In the second step, a distributed half-search algorithm makes the nodes obtain the final optimal solution in a distributed way. The results on three case studies demonstrate that the proposed approach is highly effective for solving the EDP.

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Section: Case 3: Implementation On Ieee 57-bus Systemmentioning

confidence: 99%

“…The authors of [38] proposed an optimization algorithm based on auction techniques and consensus protocols to solve EDP with non-convex cost function. Considering the distribution losses in EDP, the authors of [39] gave a distributed approach to collect active power loss in power system, and the solution is reached by local computations.…”

Section: Introductionmentioning

confidence: 99%

Distributed Absorption and Half-Search Approach for Economic Dispatch Problem in Smart Grids

Zhang

et al. 2019

Energies

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“…Literature [33] elaborated on a mathematical formulation for the incremental cost consensus variable and gives some case studies to show the influence of difference network topologies on the convergence rate. In [34], a peer-to-peer communication architecture and a new analysis on loss penalty factors are proposed for solving EDP in distributed approach. In [35], a multi-agent system (MAS) based distributed control approach for optimal resource management in an islanded microgrid is proposed.…”

Section: Literature Reviewmentioning

confidence: 99%

A Fully Distributed Approach for Economic Dispatch Problem of Smart Grid

Li¹,

Wang²,

Li³

et al. 2018

Energies

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The cooperative, reliable and responsive characteristics make smart grid more popular than traditional power grid. However, with the extensive employment of smart grid concepts, the traditional centralized control methods expose a lot of shortcomings, such as communication congestion, computing complexity in central management systems, and so on. The distributed control method with flexible characteristics can meet the timeliness and effectiveness of information management in smart grid and ensure the information collection timely and the power dispatch economically. This article presents a decentralized approach based on multi agent system (MAS) for solving data collection and economic dispatch problem of smart grid. First, considering the generators and loads are distributed on many nodes in the space, a flooding-based consensus algorithm is proposed to achieve generator and load information for each agent. Then, a suitable distributed algorithm called λ-consensus is used for solving the economic dispatch problem, eventually, all generators can automatically minimize the total cost in a collective sense. Simulation results in standard test cases are presented to demonstrate the effectiveness of the proposed control strategy.

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“…This leads to a two‐way power flow problem at boundaries of transmission and distribution systems that should be handled through optimal coordination. Therefore, distributed and decentralized algorithms are obligatory to be investigated . Moreover, ATC has been found as potential candidate for optimal coordination process because of its flexibility to use different type of penalty functions such as augmented Lagrange and exponential functions.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, distributed and decentralized algorithms are obligatory to be investigated. [12][13][14] Moreover, ATC has been found as potential candidate for optimal coordination process 15 because of its flexibility to use different type of penalty functions such as augmented Lagrange and exponential functions. In this paper, we have selected augmented Lagrange as penalty function in ATC as it has ability to solve convex and nonconvex problems.…”

Section: Introductionmentioning

confidence: 99%

TSO and DSO with large‐scale distributed energy resources: A security constrained unit commitment coordinated solution

Nawaz

Wang

et al. 2019

Int Trans Electr Energ Syst

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Summary Modern power system requires optimally coordinated operation between transmission and distribution systems due to large‐scale integration of distributed energy resources (DERs). Commonly, transmission system operator (TSO) solves its own cost optimization problem and evaluates required targets for each distribution system operator (DSO). Thus, TSO problem becomes more complex and highly scaled with increase in number of connected distribution systems, which requires more computational time and resources. Therefore, this paper proposed a method to reduce computational burden on TSO and solve coordinated security constrained unit commitment (C‐SCUC) problem by involving a coordinator in upper level hierarchy. Coordinator is required to solve system‐wide problem to adjust targets for transmission system (TS) and all distribution systems (DS). Besides, TSO and DSO only need to solve their own cost optimization problems. In this paper, we have proposed analytical target cascading (ATC) along with hybridized particle swarm optimization with differential evolution (PSO‐DE) for solving increased complexity of the coordinated problem. ATC provides coordination between transmission and distribution sections of power system while hybrid PSO‐DE provides better accuracy of optimization in ATC layers. For evaluation of efficacy of proposed method, this paper has taken IEEE 118‐bus system as TS and IEEE 33‐bus system as DS. Results has depicted that proposed method could help TSO in reducing computational resources and improving computational time.

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Fully distributed economic dispatch of distributed generators in active distribution networks considering losses

Cited by 43 publications

References 37 publications

Distributed Absorption and Half-Search Approach for Economic Dispatch Problem in Smart Grids

Distributed Absorption and Half-Search Approach for Economic Dispatch Problem in Smart Grids

A Fully Distributed Approach for Economic Dispatch Problem of Smart Grid

TSO and DSO with large‐scale distributed energy resources: A security constrained unit commitment coordinated solution

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