Reliability evaluation of interconnected power systems including jointly owned generators

Singh, Chanan; Gubbala, N.

doi:10.1109/59.317584

Cited by 11 publications

(7 citation statements)

References 8 publications

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“…In [11,13], the interconnections are modelled to transmit the shared capacity of jointly owned generators among the multi-area power systems and the interconnections are assumed to be adequate for the study.…”

Section: Wind Power Adequacy Modellingmentioning

confidence: 99%

“…Jointly owned conventional generation plants are shared by the utilities in many interconnected power systems [11][12][13][14]. Hence, wind farms can be shared by the interconnected utilities and this strategy can facilitate the utilities to achieve the RET from the wind generation systems.…”

Section: Interconnected Systems and Wind Resource Sharingmentioning

confidence: 99%

“…Deregulated market policies permit the generators in the interconnected systems to participate in the competitive energy market environment allowing the utilities to take advantage of the wind generation diversity in spatially separated wind farms [10]. Jointly owned generation plants among the interconnected systems enable the utilities to share the generation resources of certain geographical locations [11][12][13][14]. In this way, abundant wind resources in spatially diverse locations can be shared through joint ownership among the utilities, which are part of an interconnected network, to achieve the RET.…”

Section: Introductionmentioning

confidence: 99%

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New approach for sharing wind generation spatial diversification in multi‐area power systems using trade‐off analysis

Abdullah

Muttaqi

Agalgaonkar

et al. 2014

IET Generation, Transmission & Distribution

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Wind is one of the fast growing renewable resources that can significantly contribute in achieving emission-free electricity generation system. Since wind resources are distributed across geographical locations, wind resource sharing among different geographical locations is essential to facilitate wind energy penetration and its full utilisation. A wind resource sharing strategy, for interconnected electricity networks, to achieve the national and regional renewable energy target is presented in this study. A multi-objective decision making problem has been formulated to optimally share the installed wind generation capacity in a multi-area power systems. Computational models have been developed for wind generation adequacy, emission reduction from wind energy and capacity upgrade requirements for tie-line interconnections. Trade-off analysis has been used to select the best wind resource sharing options. The proposed wind resource sharing strategy has been applied to the interconnected power systems operated within the National Electricity Market (NEM) framework of Southeast Australia to share the available wind resources within the geographical areas of the participating states in the NEM.

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Section: Wind Power Adequacy Modellingmentioning

confidence: 99%

Section: Interconnected Systems and Wind Resource Sharingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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New approach for sharing wind generation spatial diversification in multi‐area power systems using trade‐off analysis

Abdullah

Muttaqi

Agalgaonkar

et al. 2014

IET Generation, Transmission & Distribution

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“…In the traditional multi-area adequacy analysis, the interconnections are modelled as a support from the neighbouring power systems during the generation deficiency in the generation system of the concerned power systems [3,6,7]. In [8], the interconnections are modelled to transmit shared capacity of jointly owned generators between multiarea power systems and the interconnections are assumed to be adequate for the study. Since the focus of this study is to estimate the capacity credit of wind generations due to diversity of demand and wind energy generation, the interconnections are modelled as the lines connected between the power system with wind generation and load centre of the target state owned power system where the wind power is transmitted.…”

Section: Adequacy Modelling Of Wind Generation System In Different Pomentioning

confidence: 99%

Estimation of capacity credits for wind generation plants in the south east australian power grid

Abdullah

Muttaqi

Agalgaonkar

et al. 2013

2nd IET Renewable Power Generation Conference (RPG 2013)

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It is important to estimate the contribution of the wind generation plants in the evaluation of system generation adequacy for power generation planning. Australia has recently proposed to utilize the diversity of the wind energy resources in Southeast Australian power grid through existing interState interconnections. This paper aims to present a probabilistic adequacy model for the capacity credit estimation of wind generation plants in interconnected power systems. In particular, the proposed adequacy model will be applied to investigate how sharing of wind energy resource diversity can enhance the capacity credit of the wind generation plants. The impact of the inter-tie rating and varying wind penetration on the estimated capacity credit of the shared wind generation plants is also investigated. The capacity credits of the wind generation plants in each State are estimated within the purview of National Electricity Market (NEM) framework of Australia. The results obtained from simulations are presented and discussed.

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“…Consequently, the emergency help that can be given to neighbouring areas is dependent not only on the transmission capacity states and energy contracts, but also on the common generation flows which vary according to the states of the jointly owned generating units [12,13]. There are a number of reasons promoting interconnections among utilities .…”

Section: Reliability Assessmentmentioning

confidence: 99%

Energy Generation under the New Environment

Lai

2001

Power System Restructuring and Deregulation

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Reliability evaluation of interconnected power systems including jointly owned generators

Cited by 11 publications

References 8 publications

New approach for sharing wind generation spatial diversification in multi‐area power systems using trade‐off analysis

New approach for sharing wind generation spatial diversification in multi‐area power systems using trade‐off analysis

Estimation of capacity credits for wind generation plants in the south east australian power grid

Energy Generation under the New Environment

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