Optimal power flow in the presence of wind power using modified cuckoo search

Mishra, Chetan; Singh, S. P.; Rokadia, Jimit

doi:10.1049/iet-gtd.2014.0285

Cited by 56 publications

(25 citation statements)

References 17 publications

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“…Especially, when power system has WF jointing that change many important results such as operation cost and power output of generations. Although WF has operation and maintenance cost but operation cost of system reduces when the system has WF connecting [2,22,23].…”

Section: Resultsmentioning

confidence: 99%

Cuckoo Search Algorithm Application for Economic Dispatch with Wind Farm in Power Systems

Le¹,

Vo²

2017

Global J Technol Optim

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This paper introduces a new method to solve economic dispatch problem in power system operation with wind farm (WF) connecting. The method is cuckoo search algorithm (CSA) which can to solve effective ED problem. The subject of this paper is optimal solutions about total power output each generator and WF with minimum operation cost in power system. The research study CSA and develop this method which become new method more efficient than former methods. CSA apply to solve ED problem with WF which give the best results and programming time. For ED problem simulator, program applies 30 buses IEEE system and Matpower 4.1 Toolbox to run power system with WF connecting. The results of this method also are compared to other previous methods and assess its results.

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Section: Resultsmentioning

confidence: 99%

Cuckoo Search Algorithm Application for Economic Dispatch with Wind Farm in Power Systems

Le¹,

Vo²

2017

Global J Technol Optim

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“…Step 2) Solve the SSCOPF shown in Equation (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18) including the contingencies of C SB .…”

Section: The Proposed Iterative Solution Methodsmentioning

confidence: 99%

Stochastic security-constrained optimal power flow incorporating preventive and corrective actions

Sharifzadeh

Amjady

2016

Int. Trans. Electr. Energ. Syst.

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SUMMARYThis paper presents a new stochastic security-constrained optimal power flow (SSCOPF) model to capture the uncertainties associated with transmission network failures. In the proposed framework, the uncertainties are modeled explicitly using scenarios and then managed through preventive actions (first-stage decisions) and corrective actions (recourse or second-stage decisions). The suggested model determines the optimal operating point considering the scenario weights, i.e., their probabilities. Both preventive and corrective actions are simultaneously optimized through the proposed SSCOPF approach. To reduce the dimensions of the SSCOPF model for large-scale power systems, an efficient iterative solution method is also presented. The effectiveness of the proposed approach is shown on the well-known IEEE 118-bus and 300-bus test systems.

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“…where t  T , equality constraint (8) is the description of power flow equations (2)-(4), M is the induced incidence matrix in (1). And Kj(t) is the second order cone obtained by the conic relaxation of equations (5), that is…”

Section: B Constraints 1) Conically Relaxed Power Flow Constraintsmentioning

confidence: 99%

“…The optimal power flow (OPF) has been marked as one of the most operational needs for a long time in the management of distribution systems. There are many algorithms used to solve the OPF problem, such as mathematical programming and heuristic optimization [1]. The development and utilization of renewable energy sources (RES) [2] brings great effect on modern distribution system.…”

Section: Introductionmentioning

confidence: 99%

Decentralized Dynamic Power Management with Local Information

Li¹,

Lin²,

Yu³

2019

ElAEE

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The multi-period version of the optimal power flow can tackle the power dispatch problem of modern distribution system with distributed renewable energy sources and energy storage system. In this paper, a communication-efficient decentralized optimization algorithm (DOA) for the multi-period optimal power flow problem is presented. Firstly, the power management of modern distribution system is modelled as a linear conic optimization problem based on the conically relaxed power flow equations. Secondly, some ancillary variables at the junction bus are introduced to decompose the distribution system into several separate parts. Moreover, the DOA based on the extended version of Alternating Direction Method of Multipliers (ADMM) is proposed. The DOA evolves by partial local message exchanges without central coordination. Finally, the colouring scheme, which is in accord with the network colouring used in communication protocols to avoid packet collisions, is applied in the decentralized algorithm as well.

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Optimal power flow in the presence of wind power using modified cuckoo search

Cited by 56 publications

References 17 publications

Cuckoo Search Algorithm Application for Economic Dispatch with Wind Farm in Power Systems

Cuckoo Search Algorithm Application for Economic Dispatch with Wind Farm in Power Systems

Stochastic security-constrained optimal power flow incorporating preventive and corrective actions

Decentralized Dynamic Power Management with Local Information

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