Generation dispatch method based on maximum entropy principle for power systems with high penetration of wind power

Bian, Qiaoyan; Qiu, Yutao; Wen-lian, WU; Xin, Huanhai; Fu, Xuhua

doi:10.1007/s40565-018-0419-z

Cited by 10 publications

(12 citation statements)

References 26 publications

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“…Bian et al . [53] propose a power generation dispatching model based on the principle of maximum entropy, and find the most likely power flow probability distribution, thus providing an accurate probability environment for solving the power generation dispatching model.…”

Section: Resultsmentioning

confidence: 99%

Entropy‐based dispatching: academic insights and perspectives through bibliometric analysis

Sheng

et al. 2020

IET Collaborative Intelligent Manufacturing

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Section: Resultsmentioning

confidence: 99%

Entropy‐based dispatching: academic insights and perspectives through bibliometric analysis

Sheng

et al. 2020

IET Collaborative Intelligent Manufacturing

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“…Constraint (26) specifies that down SR can be provided by unit g during period t only if it is in operation. Constraint (27) specifies that the down SR provided by generation units is limited by its minimum generation level and down ramping rates.…”

Section: ) Integer Constraints Y Gtmentioning

confidence: 99%

Impact of Down Spinning Reserve on Operation Reliability of Power Systems

Yang

Bao

Ding

et al. 2020

Journal of Modern Power Systems and Clean Energy

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The development of renewable energy and the increasing peak-valley difference of load demand lead to an increasing requirement of spinning reserve (SR). However, the traditional operation reliability analysis of power system mainly focuses on the up SR and neglects the down SR. Therefore, the operation reliability of power system considering the impacts of down SR is investigated in this paper. Firstly, the constraints of down SR are incorporated into the day-ahead unit commitment (UC) model to obtain the generation scheduling and reserve allocation of power systems. Based on the dispatch results of UC model, the re-dispatched energy and load interruption can be determined using optimal power flow (OPF) model in the realtime operation in various contingency states. Operation reliability indices are calculated based on the load curtailment to represent the reliability performances of power systems. The proposed approaches are validated using the modified IEEE reliability test system. Case studies demonstrate that down SR can improve the operation reliability of power systems.

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“…All valve parameters and gas emission coefficients of the 10 generation units are listed in Table III. The transmission losses using B-coefficients of equation (12) are calculated to be 46.7694 MW, and if the numerical iterative method is used, the losses become 43.7117 MW.…”

Section: Case Study: Ieee 39-bus Systemmentioning

confidence: 99%

“…The model is then combined with the probability distribution fitting model to capture better wind power forecast errors to optimize the net power flow in the system. The authors in [12] used the maximum entropy principle to find the most likely realized probability distributions to provide better probabilistic circumstances. The results were used to solve the generation dispatch model of power systems with significant wind power deployment.…”

Section: Introductionmentioning

confidence: 99%

Realistic Optimal Power Flow of a Wind-Connected Power System With Enhanced Wind Speed Model

et al. 2020

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The complexity of achieving optimal power flow in the presence of renewable resources decreases the accuracy and optimality levels of the power system due to the associated intermittency and uncertainty. The increased challenge of large-scale deployment of wind energy necessitates the proper modeling of wind impact on power system security and reliability levels. This article discusses a new reliable power flow optimization tool that accounts for wind power availability and uncertainty. An accurate wind forecast model is created to maintain power system security considering wind power variability. The error of the forecasting phase is included in the proposed model to accurately predict the available wind power. In this work, the scattered wind data is converted into informative frequency distribution considering the effect of averaging around integers, halves, and quarters. The proposed method maximizes the utilization level of wind energy without deteriorating the system security. The accuracy of the new proposed work is presented by comparing its results with other models discussed in the literature. A complete and integrated formulation of the objective function has been accomplished. The cost function includes transmission losses, generation operating costs, generation gas emissions, and valve-point effects. Reliable and efficient optimization algorithms are adopted to minimize the established cost function of the system ⎯namely, teaching-learningbased optimization and symbiotic organisms search algorithms. The effectiveness of the proposed approach is validated using the IEEE 39-bus system. INDEX TERMS Generation gas emission, generation operating cost, optimal power flow, symbiotic organisms search algorithm, valve-point effects, wind speed forecast.

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Generation dispatch method based on maximum entropy principle for power systems with high penetration of wind power

Cited by 10 publications

References 26 publications

Entropy‐based dispatching: academic insights and perspectives through bibliometric analysis

Entropy‐based dispatching: academic insights and perspectives through bibliometric analysis

Impact of Down Spinning Reserve on Operation Reliability of Power Systems

Realistic Optimal Power Flow of a Wind-Connected Power System With Enhanced Wind Speed Model

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