A Dynamic Economic Dispatch Model Incorporating Wind Power Based on Chance Constrained Programming

Cheng, Wushan; Zhang, Haifeng

doi:10.3390/en8010233

Cited by 36 publications

(31 citation statements)

References 30 publications

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“…In this section, the multiobjective designs of the proposed MG system analyze the decision of the cost function so as it represents the most pertinent choice. Actually, contrastive cost functions have been as of now proposed in previous works . In this work, the costs of the DERs selling power, the selling, and purchasing costs of trading power with the upstream grid are considered by the anticipated operating cost capacity of the MG system.…”

Section: Distributed Energy Management For Hybrid Mg Systemmentioning

confidence: 99%

“…Actually, contrastive cost functions have been as of now proposed in previous works. 29,30 In this work, the costs of the DERs selling power, the selling, and purchasing costs of trading power with the upstream grid are considered by the anticipated operating cost capacity of the MG system. In addition, it considers startup costs of DERs and ESS charging and discharging costs.…”

Section: Multiobjective Formulation Of Proposed Mg Systemmentioning

confidence: 99%

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An efficient technique‐based distributed energy management for hybrid MG system: A hybrid QOCSOS‐RF technique

et al. 2019

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This paper proposes an efficient hybrid approach-based energy management strategy (EMS) for grid-connected microgrid (MG) system. The primary objective of the proposed technique is to reduce the operational electricity cost and enhanced power flow between the source side and load side subject to power flow constraints. The proposed control scheme is a consolidated execution of both the random forest (RF) and quasioppositional-chaotic symbiotic organisms search algorithm (QOCSOS), and it is named as QOCSOS-RF. Here, the QOCSOS can have the capacity to enhance the underlying irregular arrangements and joining to a superior point in the pursuit space. Likewise, the QOCSOS has prevalence in nonlinear frameworks due over the way that can insert and extrapolate the arbitrary information with high exactness. Here, the required load demand of the grid-connected MG system is continuously tracked by the RF technique.The QOCSOS optimized the perfect combination of the MG with the consideration of the predicted load demand. Furthermore, in order to reduce the influence of renewable energy forecasting errors, a two-strategy for energy management of the MG is employed. At that point, proposed model is executed in MATLAB/Simulink working platform, and the execution is assessed with the existing techniques. KEYWORDS energy management strategy, grid-connected MG, power flow constraints, random forest, quasioppositional-chaotic symbiotic organisms search algorithm How to cite this article: Chen J, Zhou Z, Karunakaran V, Zhao S. An efficient technique-based distributed energy management for hybrid MG system: A hybrid QOCSOS-RF technique. Wind Energy. 2020;23:575-592. https://doi.

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Section: Distributed Energy Management For Hybrid Mg Systemmentioning

confidence: 99%

Section: Multiobjective Formulation Of Proposed Mg Systemmentioning

confidence: 99%

An efficient technique‐based distributed energy management for hybrid MG system: A hybrid QOCSOS‐RF technique

et al. 2019

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“…In running the power system operation with thermal generation, the cost minimization is realized as modified from equations presented in works by the authors of [15,16] as follows,…”

Section: Conventional Thermal Generationmentioning

confidence: 99%

Minimizing the Impact of Intermittent Wind Power on Multiperiod Power System Operation with Pumped Hydro Generation

2019

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In power system operations, unforeseen energy imbalances commonly occur, resulting in unexpected constraints on the system. This leads to a disturbance in normal operation. In systems with integration of large intermittent wind power resources, additional complications are imposed on the system, especially under heavy winds that require immediate measures to minimize possible impact of abrupt wind power fallout. Effective power system fortifications have to be put in place to address the challenges. Wind varies more on the sub-hourly time scales; therefore, sub-hourly dispatch is bound to address more of these issues than commonly used hourly methods. Hybrid power system operation with wind necessitates the use of fast start-up generation and storage to improve quality of power. In this work, the impact of intermittent wind power curtailment on power system operation is addressed to prevent system instability. A modified wind turbine power curve is used to restrict the onset of the normal cut-off point, thereby allowing sufficient time for effective power switchover with pumped hydro generation. This improves the voltage stability of the power system during curtailment. Singular value decomposition matrix of the power system network is employed to evaluate the performance of the proposed method.

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“…Chen et al optimized power factors across a series of wind turbines using sequential quadratic programming, accounting for uncertainty in future wind power generation and other factors. Cheng and Zhang proposed a probabilistic optimization algorithm for the wind turbine dispatch problem in a chance‐constrained formulation, where again wind energy output over a finite horizon is considered as the primary source of uncertainty. Byon et al optimized the maintenance strategies for a wind farm in the framework of a partially observable Markov decision process.…”

Section: Introductionmentioning

confidence: 99%

Optimal strategies for wind turbine environmental curtailment

Rogers

2020

Wind Energy

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Wind turbine curtailment is oftentimes required as a means to mitigate environmental impacts of a wind energy installation. For example, curtailment may be required to satisfy constraints on the occurrence of shadow flicker on nearby homes or to reduce wildlife fatalities below a certain limit. This paper introduces an optimal curtailment strategy, which seeks to maximize wind plant revenue while meeting imposed environmental constraints by intelligently selecting curtailment times. To formulate the problem, a discrete set of curtailment decision times is defined, and long-term forecast data are used to predict demand-weighted power production at each time.Dynamic programming is used in conjunction with in situ meteorological sensors to compute the probabilistically optimal curtailment decision in real time. By leveraging both forecast data and real-time measurements, the algorithm ensures that the constraint budget is expended strategically, curtailing when revenue is low and saving operating hours for times when revenue is likely to be higher. Through a series of simulation studies involving shadow flicker constraints, algorithm performance is characterized and compared with two simpler approaches: a greedy scheme and a threshold-based scheme. These studies highlight the benefit of the optimal algorithm as well as the performance tradeoffs inherent in the three different solution approaches. Overall, the dynamic programming algorithm is shown to exhibit significant benefits in cases where sufficient meteorological and demand data are available. K E Y W O R D S Curtailment, Optimal Control 1 | INTRODUCTION Over the past several decades, wind energy development in the United States and other developed countries has primarily targeted sparsely populated areas with large wind resource, readily available transmission interconnects, and minimal presence of vulnerable wildlife.Many of these ideal locations for onshore wind have already been successfully developed, and thus, new activities are focusing on locations closer to populated areas. A major challenge that arises during these development activities is community acceptance and adherence to relevant wildlife regulations. Wind farms impact local residences and wildlife through sound emissions, shadow flicker, visual impact, and encroachment on the habitats of birds, bats, and other species. As a result, wind energy developers are spending increasing effort working with communities and permitting authorities to mitigate these impacts and gain community buy-in for development activities. These mitigation steps oftentimes involve curtailing turbine operation at times when they impose negative impacts on the community or wildlife population-this is sometimes deemed "environmental curtailment." For instance, curtailment may be enforced during certain hours of the night to avoid bat fatalities. 1-3 As another example, if a turbine imposes shadow flicker on a residence beyond a mutually agreed accepted limit, the operator may be required to curtail turbine operation when...

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A Dynamic Economic Dispatch Model Incorporating Wind Power Based on Chance Constrained Programming

Cited by 36 publications

References 30 publications

An efficient technique‐based distributed energy management for hybrid MG system: A hybrid QOCSOS‐RF technique

An efficient technique‐based distributed energy management for hybrid MG system: A hybrid QOCSOS‐RF technique

Minimizing the Impact of Intermittent Wind Power on Multiperiod Power System Operation with Pumped Hydro Generation

Optimal strategies for wind turbine environmental curtailment

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