Optimum location of resources in distributed planning

Rau, Narayan S.; Wan, Yih-Heui

doi:10.1109/59.331463

Cited by 356 publications

(137 citation statements)

References 4 publications

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“…Energy loss minimisation was also studied in [26] through the optimal mix of statisticallymodelled renewable sources considering a passive approach to manage the network. An AC OPF-like (reduced gradient) method applied to a (power) loss minimisation problem was proposed in [19]. However, in this and other OPF-based approaches [20,21]…”

Section: Minimising Energy Losses [2]mentioning

confidence: 99%

“…A number of studies have adopted metaheuristics techniques, such as genetic algorithms [12][13][14], but analytical approaches have also been proposed [15,16]. The use of linear programming was demonstrated in [17,18], whereas the non-linear formulation based on the AC Optimal Power Flow (OPF) problem was adopted in [1,[4][5][6][19][20][21].…”

Section: Distribution Network Capacity Assessment [1]mentioning

confidence: 99%

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Using AC Optimal Power Flow for DG planning and optimisation

Ochoa

Harrison

2010

IEEE PES General Meeting

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Abstract-While it is difficult to estimate how much distributed generation (DG) capacity will be connected to distribution systems in the coming years, it is certain that increasing penetration levels require robust tools that help assess the capabilities and requirements of the networks in order to produce the best planning strategies. This work presents an overview of some of the uses to which a tailored AC Optimal Power Flow (OPF) can be applied to DG planning and optimisation. Its application to maximising connectable capacity and energy loss minimisation are presented and discussed. The incorporation of a wide range of network constraints, including fault levels, voltage step change and N-1 security are also outlined. The AC OPF technique is extended to a multi-period approach to cater for the variability of demand and renewable generation. Advanced smart grid-like control strategies are also incorporated into this planning tool in order to evaluate the potential benefits. Simple test feeders as well as generic UK distribution systems are adopted to demonstrate the methodology.Index Terms-Distributed generation, optimal power flow, active network management, wind power, distribution networks.

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Section: Minimising Energy Losses [2]mentioning

confidence: 99%

Section: Distribution Network Capacity Assessment [1]mentioning

confidence: 99%

Using AC Optimal Power Flow for DG planning and optimisation

Ochoa

Harrison

2010

IEEE PES General Meeting

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“…This innovative strategy provides the operator with an efficient mechanism for short-term decision making considering the interests of the producers and the other players. This method is tested by a series of simulations on radial feeders, a 6-bus distribution network [17,18] is tested first and then the effectiveness of the proposed method is examined in a 9-bus system with higher penetration of distributed energy resources (DER).…”

Section: Introductionmentioning

confidence: 99%

Coordination between mid-term maintenance outage decisions and short-term security-constrained scheduling in smart distribution systems

2012

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a b s t r a c tDistribution systems are the first volunteers experiencing the benefits of smart grids. The smart grid concept impacts the internal legislation and standards in grid-connected and isolated distribution systems. Demand side management, the main feature of smart grids, acquires clear meaning in low voltage distribution systems. In these networks, various coordination procedures are required between domestic, commercial and industrial consumers, producers and the system operator. Obviously, the technical basis for bidirectional communication is the prerequisite of developing such a coordination procedure. The main coordination is required when the operator tries to dispatch the producers according to their own preferences without neglecting its inherent responsibility. Maintenance decisions are first determined by generating companies, and then the operator has to check and probably modify them for final approval. In this paper the generation scheduling from the viewpoint of a distribution system operator (DSO) is formulated. The traditional task of the DSO is securing network reliability and quality. The effectiveness of the proposed method is assessed by applying it to a 6-bus and 9-bus distribution system.

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“…Therefore, WTs optimal allocation should consider their capability of delivering power at the right time and WTs should be located at the right place to be able to deliver energy while satisfying network constraints. Simulating load and generation variations during a year and computing the WTs delivered energy allows including the time dimension, when compared with methods that simply consider the power at one specific point in time [16]. In order to account for load and generation time interdependences, some approaches focused on the concept of energy from DG [1,17].…”

Section: Introductionmentioning

confidence: 99%

“…Several other algorithms are adopted to handle optimisation problems with discrete variables [9,15]. Other approaches require network locations of interest to be pre-specified with algorithms guiding capacity growth within network constraints [7][8][9]16].…”

Section: Introductionmentioning

confidence: 99%

Evaluating maximum wind energy exploitation in active distribution networks

Siano

Chen

et al. 2010

IET Gener. Transm. Distrib.

121

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Abstract:The increased spreading of distributed and renewable generation requires moving towards active management of distribution networks. In order to evaluate maximum wind energy exploitation in active distribution networks, a method based on a multi-period optimal power flow analysis is proposed. Active network management schemes such as coordinated voltage control, energy curtailment and power factor control are integrated in the method in order to investigate their impacts on the maximisation of wind energy exploitation. Some case studies, using real data from a Danish distribution system, confirmed the effectiveness of the proposed method in evaluating the optimal applications of active management schemes to increase wind energy harvesting without costly network reinforcement for the connection of wind generation.

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Optimum location of resources in distributed planning

Cited by 356 publications

References 4 publications

Using AC Optimal Power Flow for DG planning and optimisation

Using AC Optimal Power Flow for DG planning and optimisation

Coordination between mid-term maintenance outage decisions and short-term security-constrained scheduling in smart distribution systems

Evaluating maximum wind energy exploitation in active distribution networks

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