Multi-Area Energy and Reserve Dispatch Under Wind Uncertainty and Equipment Failures

Ahmadi-Khatir, Ali; Conejo, Antonio J.; Cherkaoui, Rachid

doi:10.1109/tpwrs.2013.2265854

Cited by 118 publications

(53 citation statements)

References 29 publications

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“…SR is a commodity traded in the market to counteract unpredictable power changes [26]. The provision for SR, if possible and conveniently scheduled an accepted in the SR market, allows an enhancement on profitability for the power producer.…”

Section: Decision Frameworkmentioning

confidence: 99%

Bilevel approach to wind-CSP day-ahead scheduling with spinning reserve under controllable degree of trust

et al. 2016

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a b s t r a c tThis paper proposes a day-ahead schedule harmonization between wind power plants and concentrating solar thermal power plants having thermal energy storage. The negative correlation between wind power and solar power is computed and an artificial neural network method estimates the power. The schedule is carried out by a bilevel mathematical programming approach. The upper-level determines energy and spinning reserve schedule by the maximization of profit subject to all lower-level problems. Lower-level problems minimize the post-contingency power output. A controllable degree of trust on the schedule is introduced based on n e K security criterion for worst-case contingency. The approach uses duality theory and problem approximations for a conversion into an equivalent mixed-integer linear programming problem. A case study is presented to illustrate the effectiveness of the approach for power producers not only with transmission constraints, but also valuing safekeeping on the day-ahead schedule to ensure a degree trust on the satisfaction of compromises within electricity markets.

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Section: Decision Frameworkmentioning

confidence: 99%

Bilevel approach to wind-CSP day-ahead scheduling with spinning reserve under controllable degree of trust

et al. 2016

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“…Reference [14] presents a stochastic market-clearing model for a multi-area power system. The model described in [14] corresponds to an auction inspired by those used by most European electricity markets, which leave the on/off commitment decisions to the producers that own the production units.…”

Section: B Literature Review and Contributionsmentioning

confidence: 99%

“…We have found no reference in the domain of decentralized multi-area stochastic unit commitment. Hence, we propose to extend the market-clearing procedure presented in [14] by incorporating unit commitment 0/1 variables in the formulation. Note that including 0/1 variables make the model non-continuous and thus non-convex, and therefore much harder to solve.…”

Section: B Literature Review and Contributionsmentioning

confidence: 99%

“…Note that including 0/1 variables make the model non-continuous and thus non-convex, and therefore much harder to solve. In order to solve the proposed model in a decentralized manner, a decomposition algorithm different than the one proposed in [14] is required as the decomposition algorithm in [14] requires continuity [15].…”

Section: B Literature Review and Contributionsmentioning

confidence: 99%

See 1 more Smart Citation

Multi-area unit scheduling and reserve allocation under wind power uncertainty

Ahmadi-Khatir¹,

Conejo²,

Cherkaoui³

2014

2014 IEEE PES General Meeting | Conference &Amp; Exposition

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Abstract-This paper proposes a decentralized methodology to optimally schedule generating units while simultaneously determining the geographical allocation of the required reserve. We consider an interconnected multi-area power system with cross-border trading in the presence of wind power uncertainty. The multi-area market-clearing model is represented as a two-stage stochastic programming model. The proposed decentralized procedure relies on an augmented Lagrangian algorithm that requires no central operator intervention but just moderate interchanges of information among neighboring regions. The methodology proposed is illustrated using an example and a realistic case study.Index Terms-Decentralized unit scheduling, interconnections, multi-area power system, reserve allocation, wind power.

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“…On the other hand, the links between regional power grids are getting closer and closer through the ultrahigh voltage (UHV) DC transmission, and meanwhile the requirements for the communication capabilities of power grids are getting higher and higher accordingly. Thus, how to achieve the optimal dispatch of the whole power system under the precondition of reducing the computing scale of the interconnected system has become a research hotspot nowadays [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

A Distributed Robust Dispatch Approach for Interconnected Systems with a High Proportion of Wind Power Penetration

Ren

Wang

2018

Energies

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This paper proposes a distributed robust dispatch approach to solve the economic dispatch problem of the interconnected systems with a high proportion of wind power penetration. First of all, the basic principle of synchronous alternating direction method of multipliers (SADMM) is introduced to solve the economic dispatch problem of the two interconnected regions. Next, the polyhedron set of the robust optimization method is utilized to describe the wind power output. To adjust the conservativeness of the polyhedron set, an adjustment factor of robust conservativeness is introduced. Subsequently, considering the operation characteristics of the DC tie line between the interconnected regions, an economic dispatch model with a high proportion of wind power penetration is established and parallel iteration based on SADMM is used to solve the model. In each iteration, the optimized power of DC tie lines is exchanged between the regions without requiring the participation of the superior dispatch center. Finally, the validity of the proposed model is verified by the examples of the 2-area 6-node interconnected system and the interconnection of several modified New England 39-node systems. The results show that the proposed model can meet the needs of the independent dispatch of regional power grids, effectively deal with the uncertainty of wind power output, and maximize the wind power consumption under the condition of ensuring the safe operation of the interconnected systems.

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Multi-Area Energy and Reserve Dispatch Under Wind Uncertainty and Equipment Failures

Cited by 118 publications

References 29 publications

Bilevel approach to wind-CSP day-ahead scheduling with spinning reserve under controllable degree of trust

Bilevel approach to wind-CSP day-ahead scheduling with spinning reserve under controllable degree of trust

Multi-area unit scheduling and reserve allocation under wind power uncertainty

A Distributed Robust Dispatch Approach for Interconnected Systems with a High Proportion of Wind Power Penetration

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