Rule-based system for determining unit locations of a developed generation expansion plan for transmission planning

Kandil, M.S.; El-Debeiky, S.; Hasanien, N.E.

doi:10.1049/ip-gtd:20000023

Cited by 26 publications

(12 citation statements)

References 6 publications

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“…Line_Loading ≤ LL max (8) Where (i, j) ∈ Ω and: S = Branch-node incidence matrix In this study, the objective function was different from those which were considered in [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][23][24][25][26][27]29,30] and in part of the problem constraints, ij f is considered as an additional constraint. In addition to the abovementioned changes, also Line_Loading constraint was considered as a new constraint in order to ensure adequacy of the network after expansion.…”

Section: Methodsmentioning

confidence: 99%

“…Some others proposed different approaches for solution of this problem considered various parameters such as uncertainty in demand [5] , reliability criteria [4,25,26] and economic factors [27] . Also, some of them investigated this problem and generation expansion planning together [28,29] . Recently, different methods such as GRASP [3] , Bender decomposition [6] , HIPER [17] branch and bound algorithm [30] , sensitivity analysis [15] , genetic algorithm [1,11,20,24] , simulated annealing [16] and Tabu search [12] have been proposed for solution of the STNEP problem.…”

Section: Introductionmentioning

confidence: 99%

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A GA Based Transmission Network Expansion Planning Considering Voltage Level, Network Losses and Number of Bundle Lines

Jalilzadeh¹

2009

American Journal of Applied Sciences

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Transmission Network Expansion Planning (TNEP) was studied considering voltage level, network losses and number of bundle lines using decimal codification based genetic algorithm (DCGA). TNEP determines the characteristic and performance of the future electric power network and directly influences the operation of power system. Up till now, various methods have been presented for the solution of the Static Transmission Network Expansion Planning (STNEP) problem. However, in all of these methods, STNEP problem has been solved regardless of voltage level of transmission lines. For this reason and according to various voltage levels and different number of bundle lines used in real transmission network which caused different annual losses, STNEP was studied considering voltage level, network losses and number of bundle lines using genetic algorithm. Genetic Algorithms (GAs) have demonstrated the ability to deal with non-convex, nonlinear, mixedinteger optimization problems, like the TNEP problem, better than a number of mathematical methodologies. The proposed method was tested on an actual transmission network of the Azerbaijan regional electric company, Iran, to illustrate its robust performance. The results were shown that considering the network losses in a network with different voltage levels and the number of bundle lines considerably decreased the operational costs and the network can be satisfied the requirement of delivering electric power more safely and reliably to load centers.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A GA Based Transmission Network Expansion Planning Considering Voltage Level, Network Losses and Number of Bundle Lines

Jalilzadeh¹

2009

American Journal of Applied Sciences

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“…A rule-based method is the motion coordinating rule that is composed of some pairs of a condition part and a motion part. In the rule-based method, agents observe the environment and select their motion whose condition part corresponds to the current environment [5]. Previous studies have proposed a simulation-based method using a rule-based method.…”

Section: A Backgroundmentioning

confidence: 99%

Simulation-Based Simple and Robust Rule Generation for Motion Coordination of Multi-agent System

Yahagi

Takehisa²,

Shimizu³

et al. 2013

2013 IEEE International Conference on Systems, Man, and Cybernetics

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For motion coordination of a multi-agent system, a simulation-based rule generating method is needed. However, previous studies assuming understandabieness of calculated rules for users do not exist. In this paper, a simulation-based simplified and robust rule generation system for multi-agent scheduling problem is proposed using parallel algorithm discovery and orchestration (PADO) and simulated annealing programming (SAP). In addition, a method to extract constraints of rules from a simulation is also proposed. This proposed method is evaluated with an aircraft control problem, and robust rules can be calculated. Moreover, with the method to extract constraints, the average calculation time can be 80 % less than that without the proposed method.

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“…However, the method belongs to the category of the static planning techniques. The expert system based methods have been also investigated to deal with this problem [4,5]. Nevertheless, the optimality of the http://dx.doi.org/10.1016/j.ijepes.2014.…”

Section: Introductionmentioning

confidence: 99%

A dynamic model for coordination of generation and transmission expansion planning in power systems

Alizadeh

Jadid

2015

International Journal of Electrical Power & Energy Systems

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Rule-based system for determining unit locations of a developed generation expansion plan for transmission planning

Cited by 26 publications

References 6 publications

A GA Based Transmission Network Expansion Planning Considering Voltage Level, Network Losses and Number of Bundle Lines

A GA Based Transmission Network Expansion Planning Considering Voltage Level, Network Losses and Number of Bundle Lines

Simulation-Based Simple and Robust Rule Generation for Motion Coordination of Multi-agent System

A dynamic model for coordination of generation and transmission expansion planning in power systems

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