Long-term distribution network expansion planning by network reconfiguration and generation of construction plans

Asakura, T.; Genji, Takamu; Yura, T.; Hayashi, Naoki; Fukuyama, Yoshikazu

doi:10.1109/pes.2003.1267184

Cited by 8 publications

(10 citation statements)

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“…Note that other works, such as [33], propose construction plans by using heuristic techniques that do not guarantee obtaining an optimal solution but generate feasible, good-quality solutions.…”

Section: Numerical Resultsmentioning

confidence: 99%

Distribution System Planning With Reliability

Lotero¹,

Contreras

2011

IEEE Trans. Power Delivery

152

123

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This paper presents a model for solving the multistage planning problem of a distribution network. The objective function to be minimized is the net present value of the investment cost to add, reinforce or replace feeders and substations, losses cost, and operation and maintenance cost. The model considers three levels of load in each node and two investment alternatives for each resource to be added, reinforced or replaced. The nonlinear objective function is approximated by a piecewise linear function, resulting in a mixed integer linear model that is solved using standard mathematical programming. The model allows us to find multiple solutions in addition to the optimal one, helping the decision maker to analyze and choose from a pool of solutions. In addition to the optimization problem, reliability indexes and associated costs are computed for each solution, based on the regulation model used in Brazil. Numerical results and discussion are presented for an illustrative 27-node test network.

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Section: Numerical Resultsmentioning

confidence: 99%

Distribution System Planning With Reliability

Lotero¹,

Contreras

2011

IEEE Trans. Power Delivery

152

123

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“…The user revenue C bonus is subsidies for users to participate in demand response, as shown in Equation (8).…”

Section: Objective Functionmentioning

confidence: 99%

“…Therefore, the access of energy station will inevitably have a great impact on the power grid pattern and network structure of IES. In energy stations and distribution network planning of IES in References , the preplanning scheme of energy station/distribution network is regarded as the boundary condition of distribution network/energy station planning. The change of boundary condition will have a significant influence on the solution result; it is difficult to obtain the optimal scheme of energy station and distribution network collaborative planning.…”

Section: Introductionmentioning

confidence: 99%

Energy station and distribution network collaborative planning of integrated energy system based on operation optimization and demand response

Li¹

2020

Int J Energy Res

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Summary In the energy station and distribution network collaborative planning of integrated energy system (IES), it is difficult to consider station and network interaction in IES operation at the same time. For resolving this problem, the model and solution of planning and operation alternative optimization are proposed considering multiagent interest balance. First, the three‐stage optimization framework and model of station and network planning of IES are proposed based on the operation scheduling of IES and the response of energy station and users as different subjects, aiming at optimization of station and network cost‐effectiveness, respectively. Second, the distribution network simplification method is proposed based on topological equivalence principle. The topological structure characteristics of distribution network is analyzed, the rapid generation strategy of single tie line network based on broken circle method is proposed, and then an encoding/decoding scheme is proposed based on particle swarm optimization algorithm. Third, considering the load characteristics and energy station demand response based on flexible comfort level of users, a dynamic spot price optimization method and operation strategy of IES are proposed. And then the station and network collaborative planning solution is presented based on the operation optimization of IES. Finally, an example is given to verify the practicability and effectiveness of the proposed method in this paper.

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“…This idea has been introduced in Roytelman et al 26 Network reconfiguration with several aims whose objective-function is weighted summation has been solved by meta-heuristic algorithms. [27][28][29] The same formulation for reconfiguration has been utilized for different purposes such as long-term planning, 30 reliability, 31 and power quality improvement. 17,21 In Equation (9), k 1 is assumed to be 1 to emphasize the importance of the loss reduction versus other objectives whose weights are less than 1.…”

Section: Voltage Sag Minimizingmentioning

confidence: 99%

Modified branch exchange reconfiguration of active distributed network for simultaneous loss reduction and power quality improvement

Dejamkhooy

Khaneghah

Shayeghi

2019

Int Trans Electr Energ Syst

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Summary Traditionally active power loss and power quality issues are major concerns in distribution network management. Nowadays, these concerns become more important by integrating distributed energy resources (DERs) in the networks. Network reconfiguration has been adopted as an effective remedy. In this paper, loss reduction and improvement of power quality indices such as total harmonic distortion (THD) and voltage sag are modeled as a multi‐objective problem. The function is weighted sum of terms, which are dealt with each objective. To solve the problem, branch exchange method for the network reconfiguration is modified. In the proposed algorithm, branch exchange operation iterates sequentially. Then, the yielded solution is compared with the best one that has been saved in the memory unit. Because memory is utilized in the method, it is called retentive branch exchange. Application of the proposed method is validated by planning and simulating six scenarios for an unbalanced radial 25‐bus network. For different operation conditions and power quality disturbances, simulation results show high ability and effectiveness of the proposed method.

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Long-term distribution network expansion planning by network reconfiguration and generation of construction plans

Cited by 8 publications

References 0 publications

Distribution System Planning With Reliability

Distribution System Planning With Reliability

Energy station and distribution network collaborative planning of integrated energy system based on operation optimization and demand response

Modified branch exchange reconfiguration of active distributed network for simultaneous loss reduction and power quality improvement

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