A Chance-Constrained Two-Stage Stochastic Program for Unit Commitment With Uncertain Wind Power Output

Wang, Qianfan; Guan, Yongpei; Wang, Jianhui

doi:10.1109/tpwrs.2011.2159522

Cited by 554 publications

(341 citation statements)

References 18 publications

Supporting

Mentioning

341

Contrasting

Order By: Relevance

“…The existing ORPF of the AVC system is given in (5)- (9). The objective is to minimize the total real power loss, .…”

Section: Avc Problem Formulationmentioning

confidence: 99%

“…However, the actual wind power may be represented as (10) and (11), where the actual reactive power production typically varies according to the active power to maintain a constant power factor, ∅. The inequality constraint includes the voltage magnitude limits (8) and the regulation capabilities of the controllers (9).…”

Section: Avc Problem Formulationmentioning

confidence: 99%

“…A scenario based approach is widely used to solve unit commitment problems [9]. The PDFs of all uncertainties are discretized into samples, with each being the realization of a specific uncertainty.…”

Section: Scenario Based Approachmentioning

confidence: 99%

See 2 more Smart Citations

Automatic voltage control (AVC) system under uncertainty from wind power

Qin

Abildgaard

Flynn

et al. 2016

2016 Power Systems Computation Conference (PSCC)

View full text Add to dashboard Cite

“…The existing ORPF of the AVC system is given in (5)- (9). The objective is to minimize the total real power loss, .…”

Section: Avc Problem Formulationmentioning

confidence: 99%

Section: Avc Problem Formulationmentioning

confidence: 99%

See 1 more Smart Citation

Automatic voltage control (AVC) system under uncertainty from wind power

Qin

Abildgaard

Flynn

et al. 2016

2016 Power Systems Computation Conference (PSCC)

View full text Add to dashboard Cite

“…This type of model needs to set a large capacity of spinning reserve to ensure the safety of the system operation, which is too conservative and not economical. The second type is the uncertain model, such as probabilistic model [14][15][16][17], fuzzy set theory [18,19], scenario analysis [6,20], stochastic programming theory [21][22][23][24], etc. For example, the authors in Reference [14] regard the forecast error of load demand and wind power as normal distribution, and propose a probabilistic model to estimate the reserve capacity demand.…”

Section: Introductionmentioning

confidence: 99%

Multi-Time Scale Rolling Economic Dispatch for Wind/Storage Power System Based on Forecast Error Feature Extraction

et al. 2018

View full text Add to dashboard Cite

This paper looks at the ability to cope with the uncertainty of wind power and reduce the impact of wind power forecast error (WPFE) on the operation and dispatch of power system. Therefore, several factors which are related to WPFE will be studied. By statistical analysis of the historical data, an indicator of real-time error based on these factors is obtained to estimate WPFE. Based on the real-time estimation of WPFE, a multi-time scale rolling dispatch model for wind/storage power system is established. In the real-time error compensation section of this model, the previous dispatch plan of thermal power unit is revised according to the estimation of WPFE. As the regulating capacity of thermal power unit within a short time period is limited, the estimation of WPFE is further compensated by using battery energy storage system. This can not only decrease the risk caused by the wind power uncertainty and lessen wind spillage, but also reduce the total cost. Thereby providing a new method to describe and model wind power uncertainty, and providing economic, safe and energy-saving dispatch plan for power system. The analysis in case study verifies the effectiveness of the proposed model.

show abstract

“…Therefore, wind power is unsuitable for the operation of a system with a high wind power penetration. The coordinated interactions among power sources, power grid, and loads are studied to address the challenges by optimizing the allocation of resources, such as traditional unit commitment methods and demand response (DR) programs [2,3].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Demand Response Model Considering the Probabilistic Characteristic of Price Elastic Load

Shuzi

Zeng²,

Ding

et al. 2016

Energies

View full text Add to dashboard Cite

Demand response (DR) programs provide an effective approach for dealing with the challenge of wind power output fluctuations. Given that uncertain DR, such as price elastic load (PEL), plays an important role, the uncertainty of demand response behavior must be studied. In this paper, a multi-objective stochastic optimization problem of PEL is proposed on the basis of the analysis of the relationship between price elasticity and probabilistic characteristic, which is about stochastic demand models for consumer loads. The analysis aims to improve the capability of accommodating wind output uncertainty. In our approach, the relationship between the amount of demand response and interaction efficiency is developed by actively participating in power grid interaction. The probabilistic representation and uncertainty range of the PEL demand response amount are formulated differently compared with those of previous research. Based on the aforementioned findings, a stochastic optimization model with the combined uncertainties from the wind power output and the demand response scenario is proposed. The proposed model analyzes the demand response behavior of PEL by maximizing the electricity consumption satisfaction and interaction benefit satisfaction of PEL. Finally, a case simulation on the provincial power grid with a 151-bus system verifies the effectiveness and feasibility of the proposed mechanism and models.

show abstract

A Chance-Constrained Two-Stage Stochastic Program for Unit Commitment With Uncertain Wind Power Output

Cited by 554 publications

References 18 publications

Automatic voltage control (AVC) system under uncertainty from wind power

Automatic voltage control (AVC) system under uncertainty from wind power

Multi-Time Scale Rolling Economic Dispatch for Wind/Storage Power System Based on Forecast Error Feature Extraction

Multi-Objective Demand Response Model Considering the Probabilistic Characteristic of Price Elastic Load

Contact Info

Product

Resources

About