Optimal Pumped Storage Operation with Interconnected Power Systems

Cobian, Miguel J.

doi:10.1109/tpas.1971.292943

Cited by 25 publications

(12 citation statements)

References 23 publications

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“…Elevator and crane systems can also be augmented by energy reservoirs [16], [17]. Load balancing is also applied in power grids, using large-scale pumped hydro reservoirs [18]. To some extent, regenerative fuel cells may be regarded as energy reservoirs [19], [20].…”

Section: Introductionmentioning

confidence: 99%

Optimal Power Management in Fueled Systems With Finite Storage Capacity

Levron

Shmilovitz

2010

IEEE Trans. Circuits Syst. I

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Abstract-Fueled power systems using secondary energy storage are analyzed. A generic model of such systems is suggested, and an optimal power management strategy that maximizes efficiency is derived analytically. The model and optimal management solution emphasizes the constraint imposed by finite storage capacity. The optimal generated energy is established independently of the system's capacity, and load, and general characteristics of it are derived and proved. The analytic solution provides an intuitive comprehension into the optimal power management, without needing numeric simulations.Index Terms-Battery lifetime, energy storage, load balancing, load leveling, optimal efficiency, power management.

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Section: Introductionmentioning

confidence: 99%

Optimal Power Management in Fueled Systems With Finite Storage Capacity

Levron

Shmilovitz

2010

IEEE Trans. Circuits Syst. I

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“…The optimal values of the objective functions are estimated from the feasible objective space by applying the two conditional decision criteria [14,18]. The first criterion is called the strictly dominance criterion and the application of the strictly dominance criterion results in a set of optimal solutions known as Pareto Frontier.…”

Section: Option Generation and Application Of Trade-off Analysismentioning

confidence: 99%

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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“…All the final value of wind power output and electricity price can be obtained by adding the prediction error to predicted value. In order to determine the state of energy storage, it is necessary to solve the model as (2).…”

Section: Case Studymentioning

confidence: 99%

“…On condition that rated power is defined as a constant value (10MW), if the capacity is assumed to be the different levels, then the target value of hybrid system can be obtained by solving the model (2). The comparison of target value under different capacity is shown in Fig.3.…”

Section: A Influence Of Energy Storage Rated Powermentioning

confidence: 99%

“…Many other forms of energy storage are also introduced to power system such as compressed air energy storage, flywheel energy storage, battery energy storage, superconducting magnetic energy storage, super capacitor energy storage and etc [2][3][4][5] . Different energy storage technologies can provide different sizes and capacity systems to satisfy different kinds of requirements.…”

Section: Introductionmentioning

confidence: 99%

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Optimal operation strategy of energy storage applied in wind power integration based on chance-constrained programming

Yuan

Wang³

2009

2009 International Conference on Sustainable Power Generation and Supply

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Large-scale wind power integration brings about many challenges to power system. Energy storage is regarded as an effective solution to the problems and some demonstration projects have been constructed. As the output power of wind turbines is a stochastic variable which is determined by wind velocity, it is very difficult to choose the operation strategy of energy storage. Probability method can be a wise selection of this kind of problem. Mathematical model for seeking the energy storage operation strategy is developed based on chanceconstrained programming. Genetic algorithm is used to solve the optimization problem, and Monte-Carlo method is applied to deal with the chance-constrained question. Index Terms-Energy storage, operation strategy, wind power integration, chance-constrained programming I. INTRODUCTIONind power is undergoing an rapid development period, and wind power penetration becomes higher and higher. The intermittency and fluctuation of wind power will do harm to economic operation and security of power system, but the energy storage technology provides an effective solution to these problems [1] .Energy storage has been widely used in power system all over the world till now, especially the pumped hydro storage, it helps to improve the security of power system and serves as spinning or stand reserve. Many other forms of energy storage are also introduced to power system such as compressed air energy storage, flywheel energy storage, battery energy storage, superconducting magnetic energy storage, super capacitor energy storage and etc [2][3][4][5] . Different energy storage technologies can provide different sizes and capacity systems to satisfy different kinds of requirements.Stochastic fluctuation and intermittency of wind power is the reason why it does harm to power system. Energy storage can exactly compensate the disadvantages of wind power, decrease the reserve capacity and improve the reliability of power system. Many demonstration projects have been constructed in USA and Europe, such as a 450kW super-This work was supported by National Key Technologies R&D Program of China (2008BAA14B02).Yue Yuan is with the

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Optimal Pumped Storage Operation with Interconnected Power Systems

Cited by 25 publications

References 23 publications

Optimal Power Management in Fueled Systems With Finite Storage Capacity

Optimal Power Management in Fueled Systems With Finite Storage Capacity

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

Optimal operation strategy of energy storage applied in wind power integration based on chance-constrained programming

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