The Experts below are selected from a list of 2265 Experts worldwide ranked by ideXlab platform
Daniel S Kirschen - One of the best experts on this subject based on the ideXlab platform.
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Optimizing Spinning Reserve Requirement of Power System With Carbon Capture Plants
IEEE Transactions on Power Systems, 2015Co-Authors: Suhua Lou, Daniel S KirschenAbstract:Spinning Reserve (SR) is one of the most important resources used by system operators to respond to unforeseen events. In a low-carbon economy mode, carbon capture plant is an important CO2 abatement option and might constitute a significant proportion of the generation mix. Due to their potential flexibility, such plants might affect the requirement for SR. This paper describes a multi-period optimization model for coordinating the generation, carbon capture and SR provision. In turn, this model is used to optimize the SR requirements, with the objective of minimizing the overall cost. Since this objective function combines the generation production cost, the expected energy not supplied (EENS) cost, SR provision cost and the carbon emission cost, it is better suited to evaluate the SR requirements of power system with carbon capture plants. Numerical results based on a 26-unit test system show that the proposed model is effective and practical.
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estimating the Spinning Reserve requirements in systems with significant wind power generation penetration
Power and Energy Society General Meeting, 2009Co-Authors: Miguel A Ortegavazquez, Daniel S KirschenAbstract:Spinning Reserve (SR) allows system operators to compensate for unpredictable imbalances between load and generation caused by sudden outages of generating units, errors in load forecasting or unexpected deviations by generating units from their production schedules. As the proportion of power produced by wind farms increases, it becomes more difficult to predict accurately the total amount of power injected by all generators into the power system. This added uncertainty must be taken into account when setting the requirement for SR. This paper proposes a technique to calculate the optimal amount of SR that the system operator should provide to be able to respond not only to generation outages but also to errors in the forecasts for load and wind power production. Using a Monte Carlo simulation, the proposed technique for setting the SR requirements is then compared with the traditional deterministic criterion (i.e., the capacity of the largest online infeed), an approach to cope with wind imbalances and an approach that combines the traditional criterion with the approach to cope with wind imbalances. The results show that, contrary to what is commonly believed, an increased wind power penetration does not necessarily require larger amounts of SR.
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should the Spinning Reserve procurement in systems with wind power generation be deterministic or probabilistic
International Conference on Sustainable Power Generation and Supply, 2009Co-Authors: Miguel A Ortegavazquez, Daniel S KirschenAbstract:It is a common practice by the system operators to set the Spinning Reserve (SR) provision based on deterministic approaches. But is this the best operating policy? This paper presents a comparison between the traditional N−1 criterion and two probabilistic approaches to estimate the optimal amount of SR requirements. This comparison shows that methods based on a cost-benefit analysis achieve a better economical balance. An approach based on an exogenous cost-benefit analysis capable of handling systems of realistic size is then presented. This approach is then extended to include demand and wind power generation forecast errors.
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optimising the Spinning Reserve requirements considering failures to synchronise
Iet Generation Transmission & Distribution, 2008Co-Authors: Miguel A Ortegavazquez, Daniel S KirschenAbstract:System operators use Spinning Reserve (SR) to respond to unforeseen events such as generation outages and unforeseen load changes. The amount of SR that a system must carry is usually determined on the basis of deterministic criteria such as the capacity of the largest synchronised generating unit or a given percentage of the load. Several authors have argued that these deterministic criteria are sub-optimal. They have proposed various techniques to adjust the SR requirements considering the likelihood and the consequences of the failure of one or more of the generating units that are synchronised to the system. However, so far none of these approaches has considered explicitly in the optimisation the significant danger associated with the failure of generating units to synchronise with the system in a timely fashion. A three-state reliability model for generating units that takes into account not only the probability of failing while operating but also the probability of failing to synchronise is proposed. This model is then used in a cost/benefit analysis to estimate the SR requirements at each period of the optimisation horizon. Finally, a Reserve-constrained unit commitment programme that enforces these requirements is used to find the optimal generation schedule. This optimal approach is compared with existing heuristic approaches on the basis of the IEEE-RTS system.
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optimizing the Spinning Reserve requirements using a cost benefit analysis
Power and Energy Society General Meeting, 2008Co-Authors: Miguel A Ortegavazquez, Daniel S KirschenAbstract:Summary form only given. Spinning Reserve (SR) is one of the most important resources used by system operators to respond to unforeseen events such as generation outages and sudden load changes. While keeping large amounts of generation in Reserve protects the power system against the generation deficits that might arise from different contingencies, and thus reduces the probability of having to resort to load shedding, this Reserve provision is costly. Traditional unit commitment (UC) formulations use deterministic criteria, such as the capacity of the largest online generator to set the SR requirements. Other UC formulations adjust this requirement based on probabilistic criteria but require iterative processes or approximate calculations of the level of risk associated with the provision of Reserve. This paper describes an offline method for setting the SR requirements based on the cost of its provision and the benefit derived from its availability.
V H Quintana - One of the best experts on this subject based on the ideXlab platform.
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An oligopolistic model of an integrated market for energy and Spinning Reserve
IEEE Transactions on Power Systems, 2006Co-Authors: G. Bautista, V H Quintana, José A. AguadoAbstract:In this paper, a model for oligopolistic competition in electricity markets is presented. Most previous proposed models have been static and focused only on the energy market incentives for strategic behavior. In contrast, in this paper, a multiperiod market for energy and Spinning Reserve (SR) is considered. By including such factors, the competition among participants is modeled with more realism. Competition in the energy market is modeled by means of conjectured supply functions, while conjectured Reserve-price response functions are used to consider the generators' ability to alter the SR prices. The resulting equilibrium problem is modeled in terms of complementarity conditions. Based upon a complementarity model, the opportunity cost between the energy and SR markets is derived for oligopolistic markets. The proposed model is illustrated by a six-node network using a dc approximation.
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An oligopolistic model of an integrated market for energy and Spinning Reserve
2006 IEEE Power Engineering Society General Meeting, 2006Co-Authors: G. Bautista, V H Quintana, José A. AguadoAbstract:Summary form only given. In this paper, a model for oligopolistic competition in electricity markets is presented. Most previous proposed models have been static and focused only on the energy market incentives for strategic behaviour. In contrast, in this paper, a multi-period market for energy and Spinning Reserve (SR) is considered. By including such factors, the competition among participants is modelled with more realism. Competition in the energy market is modelled by means of conjectured supply functions, while conjectured Reserve-price response functions are used to consider the generators ability to alter the SR prices. The resulting equilibrium problem is modelled in terms of complementarity conditions. Based upon a complementarity model, the opportunity cost between the energy and SR markets is derived for oligopolistic markets. The proposed model is illustrated by a six-node network using a DC approximation.
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a security constrained energy and Spinning Reserve markets clearing system using an interior point method
IEEE Transactions on Power Systems, 2000Co-Authors: M Madrigal, V H QuintanaAbstract:A model and solution approach to a daily energy and Spinning-Reserve electricity markets clearing system is presented in this paper. The model considers offers for energy supply and Spinning Reserve, bids for demand of energy and re-schedulable bilateral contracts. System security is taken into account by using a direct-current model. The model represents the clearing system used by an ISO in charge of both the market and system security, The clearing system is formulated as an optimization problem which is solved using an interior-point method (IPM), taking advantage of the problem's special structure.
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a security constrained energy and Spinning Reserve markets clearing system using an interior point method
Power Engineering Society Summer Meeting, 2000Co-Authors: M Madrigal, V H QuintanaAbstract:Summary form only given as follows. A model and solution approach to a daily energy and Spinning-Reserve electricity markets clearing system is presented in this paper. The model considers offers for energy supply and Spinning Reserve, bids for demand of energy and re-schedulable bilateral contracts. System security is taken into account by using a direct-current model. The model represents the clearing system used by an ISO in charge of both the market and system security. The clearing system is formulated as an optimization problem which is solved using an interior-point method (IPM), taking advantage of the problem's special structure.
S M Moghaddastafreshi - One of the best experts on this subject based on the ideXlab platform.
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bidding strategy of virtual power plant for participating in energy and Spinning Reserve markets part ii numerical analysis
IEEE Transactions on Power Systems, 2011Co-Authors: Elaheh Mashhour, S M MoghaddastafreshiAbstract:This paper is to evaluate the presented model in part I for bidding strategy of virtual power plant (VPP) with centralized control in a joint market of energy and Spinning Reserve service. Two test VPPs are introduced and different scenarios are considered for markets prices. At first, the participation of VPP in only energy market is studied. Then, the Spinning Reserve market is taken into consideration and the bids of VPP in a joint market of energy and Spinning Reserve service is studied under different scenarios of markets prices and the results are analyzed. In all cases, the results show the effectiveness and the quality of the procedure and validate the proposed model.
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bidding strategy of virtual power plant for participating in energy and Spinning Reserve markets part i problem formulation
IEEE Transactions on Power Systems, 2011Co-Authors: Elaheh Mashhour, S M MoghaddastafreshiAbstract:This paper addresses the bidding problem faced by a virtual power plant (VPP) in a joint market of energy and Spinning Reserve service. The proposed bidding strategy is a non-equilibrium model based on the deterministic price-based unit commitment (PBUC) which takes the supply-demand balancing constraint and security constraints of VPP itself into account. The presented model creates a single operating profile from a composite of the parameters characterizing each distributed energy resources (DER), which is a component of VPP, and incorporates network constraints into its description of the capabilities of the portfolio. The presented model is a nonlinear mixed-integer programming with inter-temporal constraints and solved by genetic algorithm (GA).
Xiaohong Ran - One of the best experts on this subject based on the ideXlab platform.
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conditional risk constraint model of Spinning Reserve in wind power integrated system
IEEE PES Innovative Smart Grid Technologies Conference, 2012Co-Authors: Wenshuai Fan, Renjun Zhou, Hao Tang, Xiaohong RanAbstract:For the influence from the randomness of wind power output to the system operation, a model, which achieves the Spinning Reserve in wind power integrated system, is studied. With the modeling idea about combining power generation plan and Reserve plan, minimizing the total cost of power production and Spinning Reserve as an objective, conditional value-at-risk is presented in this paper. Under regarding the conditional value at risk of up/down Spinning Reserve as security constraints, the impact from the randomness of wind power to the system can be quantitated effectively. The CVaR value of up/down Spinning Reserve in the system is calculated by Monte Carlo simulation and analysis method, a measurement analysis aimed at economic cost and the Reserve capacity under different confidence levels and wind power output is carried out. The simulation results verify the feasibility of the proposed method and provide a new reference model for the calculation of Spinning Reserve capacity in wind power integrated system.
E N Dialynas - One of the best experts on this subject based on the ideXlab platform.
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a method for optimal Spinning Reserve allocation in isolated power systems incorporating an improved speed governor model
IEEE Transactions on Power Systems, 2007Co-Authors: E J Thalassinakis, E N DialynasAbstract:In isolated power systems, frequency stability is traditionally considered to be assured by maintaining sufficient Spinning Reserve that is usually equal to the largest generation output of all the units in operation. However, the system security depends on the Spinning Reserve allocation to the units in operation and the provision of adequate emergency or fast Reserve that need be available in the first crucial seconds after a loss of generation event. The system emergency Reserve is usually much lower than that expected if only the unit droops are taken into account. Also, the generating units can be overloaded for a short time period and this capability can contribute to a faster frequency restoration. This paper presents an improved speed governor model that utilizes the short time overloading capability of the generating units. The efficient computational method described in the paper for the optimal Spinning Reserve allocation in isolated power systems was developed by taking into account a composite security criterion in the most economic way. Furthermore, a statistical analysis is presented in order to investigate the contribution of Spinning Reserve to the short-term system security. In the paper the developed method is applied to a typical isolated power system and it demonstrates its advantages.
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a monte carlo simulation method for setting the underfrequency load shedding relays and selecting the Spinning Reserve policy in autonomous power systems
IEEE Transactions on Power Systems, 2004Co-Authors: E J Thalassinakis, E N DialynasAbstract:This paper presents a computational method using the Monte-Carlo simulation approach for the calculation of the settings of load shedding underfrequency relays and the selection of appropriate Spinning Reserve policy in autonomous power systems. The method can be used for comparing alternative strategies by taking into account the amount of load to be shed and the corresponding risk for system stability. This method was applied on a system, that is based on the autonomous power system of the Greek island of Crete and the obtained results are presented and discussed.
