Service Restoration Model With Mixed-Integer Second-Order Cone Programming for Distribution Network With Distributed Generations

Li, Yong; Xiao, Juanxia; Chen, Chun; Tan, Yi

doi:10.1109/tsg.2018.2850358

Cited by 120 publications

(67 citation statements)

References 29 publications

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“…Scheme Two: References [23,24] solved the optimal power flow based on the second-order cone programming and solved the problems of optimal scheduling and voltage stability in active distribution networks. In this paper, drawing on this idea and considering the network loss of energy flows among microgrids, an OPF method based on second-order conic programming is proposed to solve the power allocation among the microgrids.…”

Section: Scheme Onementioning

confidence: 99%

“…C(P DGij ) = a ij P 2 DGij + b ij P DGij + c ij (24) where DGij represents MTj, DEj or ESSj in microgrid i; C(P DGij ) represents the generation cost of MTj, DEj or ESSj in microgrid i; P DGij represents the output power of MTj, DEj or ESSj in microgrid i and a ij , b ij , c ij represent its cost factors for power generation. The power balance constraint in sub-microgrid i can be represented as…”

Section: Objective Function and Constraintsmentioning

confidence: 99%

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Bi-Level Optimal Strategy of Islanded Multi-Microgrid Systems Based on Optimal Power Flow and Consensus Algorithm

et al. 2020

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Aiming at problems of power allocation and economic scheduling for independent multi-microgrid systems, a bi-level optimization method based on optimal power flow and consensus algorithm is proposed. The novelty of the method is that an independent multi-microgrid system is divided into two layers: in the upper layer, with the predicted output range of the microgrids as the input data, each microgrid is considered as a virtual power supply or virtual load, and taking the minimum network loss as the goal, the energy mutual aid and power allocation among the microgrids are transformed into solving the optimal power flow; in the lower layer, taking the upper layer power distribution scheme as the constraint condition, considering load fluctuation and wind/solar generation uncertainty, the optimal dispatch model of the controllable distributed generator is established based on the distributed theory and the consensus algorithm of equal cost increment, and the "plug and play" of the distributed generator is also realized. An islanded multi-microgrid cluster is taken as an example to verify the economy, security, and reliability of the proposed scheme. The advantages of the scheme have been shown by the simulation example. Simulation results show that the upper-layer method not only realizes the optimal power allocation of microgrids, but also reduces the power loss of the energy mutual aid among the microgrids; through the optimal scheduling of controllable power supply in the microgrid, the lower-level scheme not only improves the economic benefit of the microgrid, but also well suppresses the negative effects of the uncertainties, prediction errors and power fault removal on the multi-microgrid system, which improves the robustness of the system.

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Section: Scheme Onementioning

confidence: 99%

Section: Objective Function and Constraintsmentioning

confidence: 99%

Bi-Level Optimal Strategy of Islanded Multi-Microgrid Systems Based on Optimal Power Flow and Consensus Algorithm

et al. 2020

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“…t arr m þ t re m þ t tr m;n À t arr n ¼ ð1 À x m;n ÞM 8m 2 E 0 [ fdepg; 8n 2 E 0 ð18Þ Equations (16) and (17) show that the repair crew can only arrive at one component once and leave from it once. Equation (18) makes sure the route for the repair crew is successive.…”

Section: ) Crew Travel Distance Constraintmentioning

confidence: 99%

“…The proposed model is validated to be effective in distribution network. Reference [17] puts forward a service restoration model with mixedinteger second-order cone programming. However, these restoration optimization models may take a long time to solve, and should be defined as an offline analysis.…”

Section: Introductionmentioning

confidence: 99%

Component importance assessment of power systems for improving resilience under wind storms

Huang

Bie

et al. 2019

J. Mod. Power Syst. Clean Energy

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Increasingly frequent natural disasters and manmade malicious attacks threaten the power systems. Improving the resilience has become an inevitable requirement for the development of power systems. The importance assessment of components is of significance for resilience improvement, since it plays a crucial role in strengthening grid structure, designing restoration strategy, and improving resource allocation efficiency for disaster prevention and mitigation. This paper proposes a component importance assessment approach of power systems for improving resilience under wind storms. Firstly, the component failure rate model under wind storms is established. According to the model, system states under wind storms can be sampled by the non-sequential Monte Carlo simulation method. For each system state, an optimal restoration model is then figured out by solving a component repair sequence optimization model considering crew dispatching. The distribution functions of component repair moment can be obtained after a sufficient system state sampling. And Copeland ranking method is adopted to rank the component importance. Finally, the feasibility of the proposed approach is validated by extensive case studies.

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“…In some recent works, SR problem is formulated as convex Optimal Power Flow (OPF) problem, which can be solved using Second-Order Cone Programming (SOCP) or Mixed Integer Convex Programming (MICP) [28,29]. The convex nature of the power flow equation makes this kind of formulation possible.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Service Restoration of Radial Distribution System in the Presence of Non-Linear Loads

2019

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Most of the power electronic components act as non-linear loads because they draw non- sinusoidal current from the power supply. Due to these non-linear loads, current harmonics are injected in the power network. For normal operation, any power network is equipped with provisions to keep the harmonics level to a minimum value. Whenever a fault occurs in the distribution system, the primary goal is to re-energize the healthy part of the network which got interrupted. It can be done by changing the topology of the network. This method is called as Service Restoration (SR). In this paper, a service restoration strategy is proposed when non-linear loads are present in the radial distribution system. Service restoration problem is formulated as a multi-objective, constrained optimization problem. Three new objectives are included to address the problem of harmonics injection by non-linear loads. Multi-Objective Particle Swarm Optimization (MOPSO) and Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) are used to find the optimal switching sequence for restoration. To test the effectiveness of the proposed methodology, IEEE 33 bus and IEEE 69 bus test systems are taken.

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Service Restoration Model With Mixed-Integer Second-Order Cone Programming for Distribution Network With Distributed Generations

Cited by 120 publications

References 29 publications

Bi-Level Optimal Strategy of Islanded Multi-Microgrid Systems Based on Optimal Power Flow and Consensus Algorithm

Bi-Level Optimal Strategy of Islanded Multi-Microgrid Systems Based on Optimal Power Flow and Consensus Algorithm

Component importance assessment of power systems for improving resilience under wind storms

Multi-Objective Service Restoration of Radial Distribution System in the Presence of Non-Linear Loads

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