Modelling and simulation of power systems
- Authors: Banerjee, Binayak , Jayaweera, Dilan , Islam, Syed
- Date: 2016
- Type: Text , Book chapter
- Relation: Smart Power Systems and Renewable Energy System Integration (part of the Studies in Systems, Decision and Control book series) 2 p. 15-28
- Full Text: false
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- Description: This chapter presents major modelling and simulation techniques applied in power systems research. As the smart grids will be a journey through the modern power system environment, it is vital to know how these models and techniques are applied in a traditional power grid environment and how they can make advances to realize smart grid objectives. The chapter describes optimization techniques applied in power systems research and then extended to incorporate stochastic elements. The chapter ends with a brief exploration into the Monte Carlo simulation based research.
Security assessment in active distribution networks with change in weather patterns
- Authors: Jayaweera, Dilan , Islam, Syed
- Date: 2014
- Type: Text , Conference proceedings , Conference paper
- Relation: 2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014; Durham, United Kingdom; 7th-10th July 2014 p. 1-6
- Full Text: false
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- Description: Security of supply of an active distribution network is constrained with increased presence of intermittent distributed generation, component outages, network constraints, change in weather patterns, and resource availability. Long term predictions of weather patterns are challenging, however, potential vulnerability of networks into change in weather patterns can be modeled with uncertainties distributing along the time frame of study. This paper investigates this problem in detail and proposes an improved approach to model the change in weather patterns and to assess the security of supply in an active distribution network. The approach incorporates Monte Carlo simulation and captures weather patterns in three modes dynamically. A case study is performed on a 24 bus active distribution network model, and the results suggest that the security of supply can be significantly affected with change in weather patterns. Change in weather patterns by 50% of the nominal weather can result in impacts on security of supply up to three times the nominal impacts.
Security of energy supply with change in weather conditions and dynamic thermal limits
- Authors: Jayaweera, Dilan , Islam, Syed
- Date: 2014
- Type: Text , Journal article
- Relation: IEEE Transactions on Smart Grid Vol. 5, no. 5 (2014), p. 2246-2254
- Full Text: false
- Reviewed:
- Description: Aging network assets, significant variations in weather conditions, increased accommodation of intermittent distributed generation, and the network operating patterns deviate actual thermal limits of assets from deterministic thermal limits. In that context, the paper proposes a model integrated innovative approach to assess the security of energy supply in an active distribution network. The approach integrates models of dynamic thermal limits, stochastic variations in weather conditions, random outages, intermittent generation outputs, and random load fluctuations into Monte Carlo simulation and quantifies the level of insecurity. The effectiveness of the approach is demonstrated by a case study. The results suggest that costs of outages can be significantly affected by combinatorial effects of weather patterns and dynamic thermal limits. Changes in weather patterns contribute more to the costs of the outages than dynamic variations in thermal limits. Latent capacities of assets do not necessarily reduce insecurity of energy supply. The paper also argues that assets in stressed distribution networks should be modeled with dynamic thermal limits for the quantification of true impacts.
Steady-state security in distribution networks with large wind farms
- Authors: Jayaweera, Dilan , Islam, Syed
- Date: 2014
- Type: Text , Journal article
- Relation: Journal of Modern Power Systems and Clean Energy Vol. 2, no. 2 (2014), p. 134-142
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- Description: Aging network assets, forced and unforced outages, and the way the networks are operated in a deregulated market are of significant concerns to integrate large wind farms in a distribution network. In many cases, the constrained network capacity is a potential barrier to the large-scale integration of wind power. This paper probabilistically assesses the steady-state security in a distribution network in the presence of large wind farms. The approach incorporates active distribution network operating conditions, including intermittent power outputs, random outages, demand fluctuations, and dynamic interactions and exchanges, and then assesses the steady state security using Monte Carlo simulation. A case study is performed by integrating large wind farms into a distribution network. The results suggest that intermittent outputs of large wind farms in a distribution network can impact the steady-state security considerably. However, the level of impact of wind farms does not necessarily correlate with the installed capacity of them.
Security enhancement with nodal criticality based integration of PHEV micro grids
- Authors: Jayaweera, Dilan , Islam, Syed
- Date: 2013
- Type: Text , Conference proceedings , Conference paper
- Relation: 2013 Australasian Universities Power Engineering Conference, AUPEC 2013; Hobart, Australia; 29th September-3rd October 2013 p. 1-6
- Full Text: false
- Reviewed:
- Description: Modern distribution networks are increasingly vulnerable to disturbances and improving the security of supply to customers are complex and challenging with the traditional approach. This paper presents a new approach to enhance the security of power supply in an active distribution network by integrating PHEV (Plug-in Hybrid Electric Vehicle) based micro grids on the basis of the nodal criticality. The nodal criticality is assessed by integrating operational uncertainties of events into samples of Monte Carlo simulation and classifying load interruptions on the basis of their magnitudes and frequencies. Criticality of the system stress that results nodal loads shedding is classified into arrays of clusters based on the magnitudes of interrupted loads at samples. The critical clusters that represent largest disturbances to the respective nodal loads are served with PHEV micro grids. Case studies are performed, and the results suggest that the security of distribution networks can be significantly improved with the proposed approach.