Planning of grid integrated distributed generators: A review of technology, objectives and techniques

Paliwal, Priyanka; Patidar, N. P.; Nema, Rajesh Kumar

doi:10.1016/j.rser.2014.07.200

Cited by 218 publications

(116 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Centralised Generation Distributed Generation (DG) Generation Capacity Large for achieving economics of scale; reported range (order of magnitude) is 100 MW-1000 GW [10] Below and up to 300 MW, with the following categories [11]: Large: 50-300 MW Medium: 5-50 MW Small: 5 kW-5 MW Micro: 1 W-5 kW Technology Type [12] Hydroelectric plant, thermal power plant (coal, fuel oil, and gasbased), and nuclear plant Non-renewable: Diesel reciprocating engine, gas reciprocating engine, microturbine, and combustion turbine Renewable: Solar photovoltaic (PV), solar thermal, wind, low-head hydropower, biomass generation (i.e. direct combustion and gasification), biogas generation (i.e.…”

Section: Aspectmentioning

confidence: 99%

Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods

Theo

Lim

et al. 2017

Renewable and Sustainable Energy Reviews

231

105

View full text Add to dashboard Cite

Section: Aspectmentioning

confidence: 99%

Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods

Theo

Lim

et al. 2017

Renewable and Sustainable Energy Reviews

231

105

View full text Add to dashboard Cite

“…Most options tend towards geographical dispersion, smaller scales, and a plurality of modes of ownership and operation. Currently, the most widespread DG technology still is the diesel generator, a convenient standalone solution that can be started up and shut down almost immediately (Paliwal, Patidar, & Nema, 2014). Moreover, several other simple micro-turbine devices use biogas and natural gas as fuels (Ismail, Ng, Gan, & Lucchini, 2013) but the environment and health impacts of these micro-turbines remain an issue: they produce locally harmful emissions (NO x ) and rely on carbon-based fuels.…”

Section: Dg Infrastructure and Landscape Issuesmentioning

confidence: 99%

Co-production in distributed generation: renewable energy and creating space for fitting infrastructure within landscapes

Wolsink

2017

Landscape Research

View full text Add to dashboard Cite

This review describes the infrastructural elements of the socio-technical system of power supply based on renewables and the role of landscape concerns in decision-making about emerging 'intelligent grids' . The considerable land areas required for energy infrastructure call for sizable 'distributed generation' close to energy consumption. Securing community acceptance of renewables' infrastructure, perceived impacts on the community, and 'landscape justice' requires two types of co-production: in power supply and in making space available. With co-production, landscape issues are prominent, for some options dominant. However, 'objectification' of landscape, such as the use of 'visibility' as proxy for 'visual impact' , is part of lingering centralised and hierarchical approaches to the deployment of renewables. Institutional tendencies of centralisation and hierarchy, in power supply management as well as in siting, should be replaced by coproduction, as follows from common pool resources theory. Co-production is the key to respecting landscape values, furthering justice, and achieving community acceptance.

show abstract

“…Numerous distribution planning techniques proposed in the literature since the last decade address the complex nature of DP problems from MDP perspectives. Major research accounts are nowadays more focused on DG planning options, conventional solution techniques and modified grid reinforcement strategies [6][7][8][9][10][11][12][13][14][15][16][17].…”

Section: Potential Planning Techniques In Modern Distribution Planningmentioning

confidence: 99%

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

2017

View full text Add to dashboard Cite

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)

show abstract

Planning of grid integrated distributed generators: A review of technology, objectives and techniques

Cited by 218 publications

References 59 publications

Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods

Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods

Co-production in distributed generation: renewable energy and creating space for fitting infrastructure within landscapes

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

Contact Info

Product

Resources

About