Multicriteria Planning for Distributed Wind Generation Under Strategic Maintenance

Jin, Tongdan; Tian, Yu; Zhang, Cai Wen; Coit, David W.

doi:10.1109/tpwrd.2012.2222936

Cited by 54 publications

(32 citation statements)

References 28 publications

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“…The ε-constrained method [21,22]; MCS [23]; goal programming [26,32]; fuzzy, WSM [29]; MCS, AHP [30]; PSO [31] and multi-criteria stochastic programming model (MSPM) [34]; VPQ (B): GA based fuzzy multi-objective method [54,60].…”

Section: Hybrid Methodsmentioning

confidence: 99%

“…(1) Traditional LF solvers: The traditional LF solution methods, aiming at solving equality and inequality constraints, predominately include: • Other LF methods and frameworks as in [33,[42][43][44]51,53,66,80,90,92]; in addition to LF frameworks as multi-criteria stochastic planning model (MCSPM) with central limit theorem (CLT) [34] and IBVT in [56].…”

Section: Load Flow Solution Methods (S)mentioning

confidence: 99%

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Multi-Objective Planning Techniques in Distribution Networks: A Composite Review

2017

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Distribution networks (DNWs) are facing numerous challenges, notably growing load demands, environmental concerns, operational constraints and expansion limitations with the current infrastructure. These challenges serve as a motivation factor for various distribution network planning (DP) strategies, such as timely addressing load growth aiming at prominent objectives such as reliability, power quality, economic viability, system stability and deferring costly reinforcements. The continuous transformation of passive to active distribution networks (ADN) needs to consider choices, primarily distributed generation (DG), network topology change, installation of new protection devices and key enablers as planning options in addition to traditional grid reinforcements. Since modern DP (MDP) in deregulated market environments includes multiple stakeholders, primarily owners, regulators, operators and consumers, one solution fit for all planning scenarios may not satisfy all these stakeholders. Hence, this paper presents a review of several planning techniques (PTs) based on mult-objective optimizations (MOOs) in DNWs, aiming at better trade-off solutions among conflicting objectives and satisfying multiple stakeholders. The PTs in the paper spread across four distinct planning classifications including DG units as an alternative to costly reinforcements, capacitors and power electronic devices for ensuring power quality aspects, grid reinforcements, expansions, and upgrades as a separate category and network topology alteration and reconfiguration as a viable planning option. Several research works associated with multi-objective planning techniques (MOPT) have been reviewed with relevant models, methods and achieved objectives, abiding with system constraints. The paper also provides a composite review of current research accounts and interdependence of associated components in the respective classifications. The potential future planning areas, aiming at the multi-objective-based frameworks, are also presented in this paper.Keywords: active distribution network (ADN); distributed generation (DG); distributed energy resources (DERs); distribution network planning (DP); multi-objective optimization (MOO); multi-criteria decision analysis (MCDA); distributed generation placement (DGP); volt-ampere reactive power (VAR) compensation and power quality (VPQ); component reinforcement and up gradation (CRU); network (distribution) topology change and reconfiguration (NTR); planning techniques (PT); multiple objective planning (MOP); multi-objective planning techniques (MOPTs); future distribution networks (FDNs)

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Section: Hybrid Methodsmentioning

confidence: 99%

Section: Load Flow Solution Methods (S)mentioning

confidence: 99%

Multi-Objective Planning Techniques in Distribution Networks: A Composite Review

2017

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“…Hameed and Vatn [17] analyzed the role of grouping in the development of an overall maintenance optimization framework for offshore wind turbines. From another perspective, Jin et al [19] developed a multi-criteria planning for distributed wind generator under strategic maintenance. Kahrobaee and Asgarpoor [20] showed, through a case study of wind turbines, how a hybrid analytical-simulation approach works for maintenance optimization of deteriorating equipment.…”

Section: Previous Researchmentioning

confidence: 99%

Minimizing maintenance cost for offshore wind turbines following multi-level opportunistic preventive strategy

2016

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a b s t r a c tCost of energy generated from offshore wind is impacted by maintenance cost to a great extent. Cost of maintenance depends primarily on the strategy for performing maintenance. In this paper a maintenance cost model for offshore wind turbine components following multilevel opportunistic preventive maintenance strategy is formulated. In this strategy, opportunity for performing preventive actions on components is taken while a failed component is replaced. Two kinds of preventive actions are considered, preventive replacement and preventive maintenance. In the former, components that undergo that action become as good as new (i.e., the replaced components, are not just as good as new, but are actually new), but in the latter, ages of components are reduced to some degree depending on the level of maintenance action. Total cost associated with maintenance depends on the setting of age groups that determine which component should be preventively maintained and to what degree. Through optimum selection of the number of age groups, cost of maintenance can be minimized. A model is formulated where total maintenance cost is expressed as a function of number of age groups for components. A numerical study is used to illustrate the model. The results show that total cost of maintenance is significantly impacted by number of age groups and age thresholds set for components.

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“…Gjorgiev et al (2013) recommended a multiobjective genetic algorithm for scheduling the optimal generation from a power system for which they set three objectives: those of minimizing cost, emissions and unavailability. Jin et al (2013) proposed a multicriteria model based on genetic algorithms to design and operate a wind-based distributed generation with two objective functions: cost and reliability. Li et al (2013) formulated a multiobjective optimization model for protecting against cascading failures in complex networks based on the principles of NSGA-II with three objective functions: those of minimizing global connectivity loss, local connectivity loss, number of lines switched-off.…”

Section: Approaches In the 2000s And 2010smentioning

confidence: 99%

Other Risk, Reliability and Maintenance Decision Problems

Almeida

Cavalcante

Alencar

et al. 2015

International Series in Operations Research &Amp; Management Science

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Abstract:In this chapter, specific problems in risk, reliability and maintenance context are described, such as location of backup units, sequencing of maintenance activities, natural disasters, operation planning of a power system network, integrated production and maintenance scheduling, maintenance team sizing and reliability acceptance tests. This chapter presents a multicriteria decision model with an illustrative application for most of these problems. Amongst the MCDM/A approaches considered for the illustrative applications in this chapter are: Multiattribute utility theory (MAUT), PROMETHEE II, NSGA-II. Regarding the reliability acceptance test an MCDM/A Bayesian approach is presented. For these problems, several aspects have been considered such as: size of population, degree of industrialization, the extent of health services (location of backup units); degree of damage, consumption, electric load, special clients, healthcare services, SAIDI and SAIFI (sequencing of maintenance activities); human, environmental, financial and infrastructure concerns (natural disasters); expected tardiness and maintenance costs (integrated production and maintenance scheduling); waiting time and cost of personnel (maintenance team sizing); probability of accepting equipment not in accordance with the reliability specified by the manufacturer; and delaying the project conclusion (reliability acceptance test). Finally, some aspects of multiobjective optimization are discussed.

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Multicriteria Planning for Distributed Wind Generation Under Strategic Maintenance

Cited by 54 publications

References 28 publications

Multi-Objective Planning Techniques in Distribution Networks: A Composite Review

Multi-Objective Planning Techniques in Distribution Networks: A Composite Review

Minimizing maintenance cost for offshore wind turbines following multi-level opportunistic preventive strategy

Other Risk, Reliability and Maintenance Decision Problems

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