Risk of supply insecurity with weather condition-based operation of plug in hybrid electric vehicles
- Authors: Jayaweera, Dilan , Islam, Syed
- Date: 2014
- Type: Text , Journal article
- Relation: IET Generation, Transmission & Distribution Vol. 8, no. 12 (2014), p. 2153-2162
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- Description: Plug in hybrid electric vehicles (PHEVs) can be a strategic source to mitigate risk of supply insecurity in an active distribution network. This study proposes a new methodology to quantify the risk of supply insecurity with weather condition based operation of PHEVs in an active distribution network. The approach divides operating characteristics of PHEVs into charging, discharging and null. Operation of PHEVs with change in weather conditions, intermittent characteristics of distributed generation, sector customer demand characteristics and random outages of components are modelled on Markov-chain Monte Carlo simulation. A set of case studies are performed considering distributed operation of PHEVs as oppose to central operation of conventional units. Results suggest that distributed operation of PHEVs can potentially mitigate risk of supply insecurity of moderately stressed networks. Highly stressed networks, which are operated with PHEVs, need supplementary supports from conventional units to mitigate risk of supply insecurity.
Assessment of distributed generation capacity mixture for hybrid benefits
- Authors: Jayaweera, Dilan , Islam, Syed , Neduvelil, Sandeep
- Date: 2013
- Type: Text , Conference proceedings , Conference paper
- Relation: 22nd International Conference and Exhibition on Electricity Distribution, CIRED 2013; Stockholm, Sweden; 10th-13th June 2013 Vol. 2013, p. 1-4
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- Description: The distributed generation (DG) mixture in an active distribution network can provide different levels of network benefits and benefits external to the network. This paper investigates this problem in detail and proposes an approach to assess the DG mixture for hybrid benefits through the sequential simulation of optimized samples. A case study is performed incorporating Wind and PV generation as intermittent DG, diesels, their life-cycle costs (LCCs), and contribution to greenhouse-gas (GHG) abatement. Results suggest that specific operating conditions in a network can dominate the DG mixture and deliver the combined benefits. Wind and diesel hybrid operation can be the most beneficial DG mixture in an active distribution network compared to any other DG combination with current costing structure.
Two-stage approach for the assessment of distributed generation capacity mixture in active distribution networks
- Authors: Jayaweera, Dilan , Islam, Syed , Neduvelil, Sandeep
- Date: 2013
- Type: Text , Journal article
- Relation: Journal of Renewable and Sustainable Energy Vol. 5, no. 5 (2013), p.
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- Description: Distribution networks are limited with spare capacities to integrate increased volumes of distributed generation (DG). Network constraints and congestion, dynamic thermal limits, intermittent outputs, and the need for reduction in greenhouse gas emission increase the complexity of capturing optimal DG mixture that can safely permit the optimal operation. This paper investigates this problem in detail and proposes a two-stage approach for the quantification of optimal DG capacity mixture in an active distribution network. The approach is aimed at operational planning and takes into account dynamic thermal limits, network internal benefit, and network external benefit and then optimizes samples of DG mixtures through sequential simulation. A case study is performed incorporating wind and photovoltaic generation as intermittent DG and diesel units as standing reserve units. Results suggest that specific operating conditions in an active distribution network can dominate the optimal DG mixture. Wind and diesel hybrid operation can be the most beneficial DG mixture compared to any other DG combination. Dynamic thermal limits of assets can potentially control the type of DG of the optimized mixture.