Dynamic coupling between power markets and power systems

Alvarado, F.L.; Meng, Jie; Mota, W.S.; DerMarco, C.L.

doi:10.1109/pess.2000.866987

Cited by 23 publications

(15 citation statements)

References 7 publications

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“…An alternative way which constitute of a fundamental method used to calculate (27b) has also been discussed thoroughly in [25], [26]. In addition, equation (27b) has also been used for the assessment of small-signal stability directly associated with the energy imbalance and power price [27], [28]. Basically, the energy imbalance represents as the difference between power generation, , and power demand,…”

Section: Rescheduling Of Critical Generators For a New Atc Determimentioning

confidence: 99%

“…With regards to [24] and [28], the above-mentioned discussion signifies that (27a) which basically derived from (27b) can be used to determine the critical generators so that effective rescheduling process can be performed for obtaining the best solution of power transfer while retaining small-signal stability of a system. This is entrenched with the fact that inter-area damping mode via participation factor is very sensitive to the generator rescheduling that has been proven in [24].…”

Section: Rescheduling Of Critical Generators For a New Atc Determimentioning

confidence: 99%

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A Novel Approach of Rescheduling the Critical Generators for a New Available Transfer Capability Determination

Othman

Busan²

2016

IEEE Trans. Power Syst.

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The transition to a deregulated electric power system industry has created a highly competitive electricity market with immense power transfer activity performed between the market participants. A poorly-damped oscillation of small-signal instability is usually imminent during a stress power system condition attributed by the base case power transfer or available transfer capability (ATC) compounded with an outage of critical line. The contingency ranking by means of lowest damping ratio is introduced so that execution of the most critical line outage will incite to a poorly-damped oscillation during the base case ATC. The rescheduling of few critical generators determined by using the normalized participation factor is presented in this paper as a novel, non-intricate and cost-effective solution for estimating a new value of ATC while ensuring a secure power system operating condition. Sturdiness of the proposed method is verified through comparison with the weighted-average sensitivity of stability index required for rescheduling the critical generators performed in a case study of 39-bus New England system. Comparative study on the results of cost minimization in generators rescheduling has also been done based on the critical generators selected by the two methods.Index Terms-Available transfer capability, contingency ranking by means of lowest damping ratio, critical generators rescheduling, normalized participation factor, small-signal instability.

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Section: Rescheduling Of Critical Generators For a New Atc Determimentioning

confidence: 99%

Section: Rescheduling Of Critical Generators For a New Atc Determimentioning

confidence: 99%

A Novel Approach of Rescheduling the Critical Generators for a New Available Transfer Capability Determination

Othman

Busan²

2016

IEEE Trans. Power Syst.

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“…Assume the power price without contracts is $40/MWh. Once the right hand side parameters in the above equations are determined, one may choose producer and consumer response constants t g and t d by assuming that the ramp rate for generators and consumers lies in the range of 1-20 MW/min [7].…”

Section: Numerical Examplesmentioning

confidence: 99%

“…Alvarado [6,7] and his co-workers modelled the dynamic power markets with differential equations, and then improved this model by considering imbalance energy and physical dynamic behaviours of power systems. Tang et al [8] established the discrete dynamic model of power markets with power prices as variables.…”

Section: Introductionmentioning

confidence: 99%

“…The practical operation experiences of power markets show that the stability of markets may be affected by contracts. In this paper, contracts are introduced to expand the dynamic model described in literatures [6,7], in order to evaluate the effect of contracts on stability of power markets. The formulated differential and algebraic equations are analysed by eigenvalue techniques.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of effects of contracts on the stability of dynamic power markets

Yan-bing

Yan

2007

Int Trans Elec Energy Syst

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SUMMARYExperiences with operations of power markets show that contracts may affect stability of markets. Therefore, it is necessary to consider whether the market with bilateral contracts will lead to a stable equilibrium conditions after the market is exposed to certain kinds of disturbances. In this paper, the dynamic behaviour of power markets is expressed by differential/algebraic equations, and eigenvalue analysis is used to study effects of contracts on stability of the model. Results of the analysis show that suitable relative ratio of contracts can improve the stability of power markets and even make the unstable markets stable. On the other hand, unsuitable relative ratio of contracts may deteriorate the stability of markets.

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The stability of power system markets

Alvarado

1999

IEEE Trans. Power Syst.

112

101

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Market equilibrium conditions can be derived from more general dynamic equations describing the marketplace. Dynamic equations provide insights into the behavior and stability of markets which are not available from static models. For example, markets with a single supplier with declining linear costs (economies of scale) may or may not be stable, depending on specific cost characteristics. Markets with more than one supplier with declining linear costs are always unstable. This paper illustrates a situation where the removal of congestion makes a market unstable.

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Dynamic coupling between power markets and power systems

Cited by 23 publications

References 7 publications

A Novel Approach of Rescheduling the Critical Generators for a New Available Transfer Capability Determination

A Novel Approach of Rescheduling the Critical Generators for a New Available Transfer Capability Determination

Analysis of effects of contracts on the stability of dynamic power markets

The stability of power system markets

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