Online market-based rescheduling strategy to enhance power system stability

Hoballah, Ayman; Erlich, I.

doi:10.1049/iet-gtd.2011.0265

Cited by 20 publications

(11 citation statements)

References 15 publications

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“…Indeed, the proposed method can be further improved by comparatively resembles with the situation utterly taking place in a deregulated power system which allows utility to adjust or shift the existing energy market so that remedial action could be taken by the generating companies to ensure the system stability is attained. Hence, optimization of energy market is introduced in the second technique of generators rescheduling by considering cost minimization of as the objective function given in (30) [10], [30], [31]. The linear bidding strategy is used to design the expression in (30).…”

Section: Rescheduling Of Critical Generators For a New Atc Determimentioning

confidence: 99%

“…The applicability of this method is arising from its fast response in rescheduling the critical generators compatible for an immediate restoration of the inter-area oscillation which occurs only within a short time interval of 10 to 20 s subsequent to a disturbance [9]. Hoballah et al [10] has introduced the combination of modified particle swarm optimization (PSO) and artificial neural network utilized as a new approach in solving the market based generators rescheduling while ensuring the enhancement of transient and oscillatory stability. In particular, the generators rescheduling were performed by referring to the market based energy bidding approach.…”

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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%

mentioning

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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“…where Φ −1 is the inverse function of the normal distribution with mean zero and standard deviation one, E(ζ sys ) N and σ'(ζ sys ) N are the mean and the variance of the measure of global damping of the system ζ sys , which is determined throughout every sampled operating condition by using (2). ε r is the value of the relative error demanded for the results, 1 − δ is the specified coverage probability (0 < δ < 1) and N is the actual sample size.…”

Section: Monte Carlo-based Pementioning

confidence: 99%

Probabilistic approach for optimal placement and tuning of power system supplementary damping controllers

Rueda

Cepeda²,

Erlich

2014

IET Generation, Transmission & Distribution

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This study presents a comprehensive approach to tackle the problem of optimal placement and coordinated tuning of power system supplementary damping controllers (OPCTSDC). The approach uses a recursive framework comprising probabilistic eigenanalysis (PE), a scenario selection technique (SST) and a new variant of mean-variance mapping optimisation algorithm (MVMO-SM). Based on probabilistic models used to sample a wide range of operating conditions, PE is applied to determine the instability risk because of poorly-damped oscillatory modes. Next, the insights gathered from PE are exploited by SST, which combines principal component analysis and fuzzy c-means clustering algorithm to extract a reduced subset of representative scenarios. The multi-scenario formulation of OPCTSDC is then solved by MVMO-SM. A case study on the New England test system, which includes performance comparisons between different modern heuristic optimisation algorithms, illustrates the feasibility and effectiveness of the proposed approach.

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“…Therefore, one pragmatic solution is to select a small set of key variables that needs less computation resources, but, nevertheless, enables a reliable estimation for transient instability. The methods to estimate transient stability can be classified into model-based methods (Vu and Turitsyn, 2016) and artificial intelligence-based methods (Hoballah and Erlich, 2012;Cepeda et al, 2014;Wang et al, 2016). The latter requires reduced computation effort to make fast estimations.…”

Section: Introductionmentioning

confidence: 99%

MVMO-Based Identification of Key Input Variables and Design of Decision Trees for Transient Stability Assessment in Power Systems With High Penetration Levels of Wind Power

et al. 2020

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Unlike synchronous generators, wind turbines cannot directly respond to large disturbances, which may cause transient instability, due to their power electronic-based interface and maximum power control strategy. To effectively monitor the influence of wind turbines, this paper proposes an approach that combines decision trees (DTs), and a newly developed variant of the Mean-Variance Mapping Optimization (MVMO) algorithm, to simultaneously tackle the problem of selecting the key variables that properly reflect the transient stability performance of a system dominated by wind power, and designing the DTs for reliable online assessment of transient stability. The notion of key variables refers to the set of variables that are closely related to the modified power system transient stability performance as a consequence of the replacement of conventional power plants by wind generators. The selection of key variables is formulated as a non-linear optimization problem with weight factors as decision variables and is tackled by MVMO. A weight factor is assigned to each key variable candidate, and its value is considered to reflect the degree of influence of the key variable candidate on the splitting property and estimation accuracy of the DTs. The samples of the key variable candidates and the initialized weight factors are used to build the first group of DTs. Then, MVMO iteratively evolves the weight factors according to its special mapping function with minimizing DTs' estimation error. According to the final list of optimized weight factors, system operators can select a reduced set of variables with the largest weight factors as key variables, depending on the resulting accuracy of the DTs. Meanwhile, DTs built by using key variables are considered as the optimal performance trees for transient stability estimation. In this way, the selection of key variables and the development of DTs are made jointly and automatically, without the interference of the users of the DTs. Test results Wang et al. MVMO Based Transient Stability Assessment on the modified IEEE 9 bus system and a synthetic model of a real power system show that the proposed method can correctly identify the set of key variables related to wind turbine dynamics, as well as its ability to provide a reliable estimation of the transient stability margin.

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Online market-based rescheduling strategy to enhance power system stability

Cited by 20 publications

References 15 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

Probabilistic approach for optimal placement and tuning of power system supplementary damping controllers

MVMO-Based Identification of Key Input Variables and Design of Decision Trees for Transient Stability Assessment in Power Systems With High Penetration Levels of Wind Power

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