A unified unit commitment &amp;#x2014; Economic dispatch model for short-term power system scheduling under high wind energy penetration

Bakirtzis, Emmanouil A.; Ntomaris, Andreas V.; Kardakos, Evaggelos G.; Simoglou, Christos K.; Biskas, Pandelis N.; Bakirtzis, Anastasios G.

doi:10.1109/eem.2014.6861258

Cited by 11 publications

(4 citation statements)

References 13 publications

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“…The error term (x error,s ) is a zero-mean noise with standard deviation σ [26], [28]. Scenarios are represented with x s The uncertainties of the forecast errors are modeled with the probability distribution functions, which are obtained from the historical data [26].…”

Section: Modelling System Uncertaintiesmentioning

confidence: 99%

Two-Stage Stochastic Model Using Benders’ Decomposition for Large-Scale Energy Resource Management in Smart Grids

Soares

Canizes

Ghazvini

et al. 2017

IEEE Trans. on Ind. Applicat.

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--The ever-increasing penetration level of renewable energy and electric vehicles may threaten power grid operation. Dealing with uncertainty in smart grids is critical in order to mitigate possible issues. This research work proposes a two-stage stochastic model for large-scale energy resources scheduling for aggregators. The proposed model is designed for aggregators managing a smart grid. The idea is to address the challenge brought by the variability of demand, renewable energy, electric vehicles, and market price variations while pursuing cost minimization. Benders' decomposition approach is implemented to improve the tractability of the original model and its' computational burden. A realistic case study is presented using a real distribution network in Portugal with high penetration of renewable energy and electric vehicles. The results show the effectiveness and efficiency of the proposed approach when compared with a deterministic formulation and suggest that demand response and storage systems can mitigate the uncertainty. Index Terms--Benders Number of EVs

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Section: Modelling System Uncertaintiesmentioning

confidence: 99%

Two-Stage Stochastic Model Using Benders’ Decomposition for Large-Scale Energy Resource Management in Smart Grids

Soares

Canizes

Ghazvini

et al. 2017

IEEE Trans. on Ind. Applicat.

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show abstract

“…The error term (x error ) is a zero-mean noise with standard deviation σ [16], [18]. Scenarios, which are projections for a specific date in future, are represented with x(s).…”

Section: System Uncertaintiesmentioning

confidence: 99%

Long-Term Smart Grid Planning Under Uncertainty Considering Reliability Indexes

Canizes

Soares

Ghazvini

et al. 2018

Operation, Planning, and Analysis of Energy Storage Systems in Smart Energy Hubs

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The electricity sector is fast moving towards a new era of clean generation devices dispersed along the network. On one hand, this will largely contribute to achieve the multinational environment goals agreed via political means. On another hand, network operators face new complexities and challenges regarding network planning due to large uncertainties associated to renewable generation and electric vehicles integration. In addition, due to new technologies such as combined heat and power (CHP), the district heat demand is considered in the long-term planning problem. The 13-bus medium voltage network is evaluated considering the possibility of CHP units but also without. Results demonstrate that CHP can supply the district heat demand also contributing to network reliability reducing expected energy supplied and power losses avoiding the need to invest in new power lines for the considered lifetime project.

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“…For example, an intraday ultra-short-term active power optimisation scheduling strategy improves the economy and security of system operation [1]. A large amount of wind energy is accommodated in the short-term scheduling of power systems, which reduces the cost [2]. On the basis of real-time scheduling, a grid-based indicator acquisition and feedback control system is established to meet the needs of grid assessment [3].…”

Section: Introductionmentioning

confidence: 99%

Research on parameter optimisation of dynamic priority scheduling algorithm based on improved reinforcement learning

Meng

Zhu

Xia

et al. 2020

IET Generation, Transmission & Distribution

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A unified unit commitment — Economic dispatch model for short-term power system scheduling under high wind energy penetration

Cited by 11 publications

References 13 publications

Two-Stage Stochastic Model Using Benders’ Decomposition for Large-Scale Energy Resource Management in Smart Grids

Two-Stage Stochastic Model Using Benders’ Decomposition for Large-Scale Energy Resource Management in Smart Grids

Long-Term Smart Grid Planning Under Uncertainty Considering Reliability Indexes

Research on parameter optimisation of dynamic priority scheduling algorithm based on improved reinforcement learning

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