An Integrated Multiperiod OPF Model With Demand Response and Renewable Generation Uncertainty

Bukhsh, Waqquas; Zhang, Chunyu; Pinson, Pierre

doi:10.1109/tsg.2015.2502723

Cited by 99 publications

(62 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For each share, there are multiple solar plants connected to a common node in the network. As there are 13 solar shares and various solar plants are involved in each share, we present the data and the results of an arbitrarily chosen share, ie, share 8 , for the sake of simplicity and better analysis of the results. Table 3 presents the data for the solar plants installed to collectively make the solar share No.…”

Section: Solar Cost Minimizationmentioning

confidence: 99%

Modeling and operation optimization of RE integrated microgrids considering economic, energy, and environmental aspects

et al. 2019

View full text Add to dashboard Cite

Summary Microgrids provide promising solution for integration of renewable energy sources in the electrical grid. To exploit the key benefits, achieving the economical operation of renewable aided microgrids has become necessary and is a challenging task. This paper presents an efficient optimization model to minimize the operational cost of a solar integrated microgrid. We formulate a joint optimization mixed integer problem for appropriate modeling of the system under various practical constraints. An efficient solution is obtained with a distributed approach such that the original problem is solved in two stages. Dual decomposition approach is adopted for cost, emissions, and solar share optimization. Lagrange relaxation, Lambda iteration method, and binary integer programming are employed to obtain the joint optimization solution. Finally, the performance of the proposed model is validated through simulations that show that an overall cost reduction of 4.2070e+04 $ and emission reduction of 7.2001e+03 kg are achieved with the proposed model.

show abstract

Section: Solar Cost Minimizationmentioning

confidence: 99%

Modeling and operation optimization of RE integrated microgrids considering economic, energy, and environmental aspects

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Fig. 14 shows 100 wind scenarios obtained from references [38], [39]. In addition to wind uncertainty, we consider uncertainty in the building load.…”

Section: Case Study: Building Flexibility For Wind Power Balancingmentioning

confidence: 99%

Tractable and Robust Modeling of Building Flexibility Using Coarse Data

Contreras-Ocaña

Ortega‐Vazquez

Kirschen

et al. 2018

IEEE Trans. Power Syst.

View full text Add to dashboard Cite

Controllable building loads have the potential to increase the flexibility of power systems. A key step in developing effective and attainable load control policies is modeling the set of feasible building load profiles. In this paper, we consider buildings whose source of flexibility is their HVAC loads. We propose a data-driven method to empirically estimate a robust feasible region of the load using coarse data, that is, using only total building load and average indoor temperatures. The proposed method uses easy-to-gather coarse data and can be adapted to buildings of any type. The resulting feasible region model is robust to temperature prediction errors and is described by linear constraints. The mathematical simplicity of these constraints makes the proposed model adaptable to many power system applications, for example, economic dispatch, and optimal power flow. We validate our model using data from EnergyPlus and demonstrate its usefulness through a case study in which flexible building loads are used to balance errors of wind power forecasts.

show abstract

“…Realistic wind power data are from wind farms in Denmark [19], [20]. Per-unit data of wind power forecast scenarios are provided by [21] and translated into actual data by multiplying C w = 1000MW.…”

Section: A Case Designmentioning

confidence: 99%

“…(11) separately and independently. Wind power scenarios for optimization is from [19], [20], while those for simulation are generated obeying the same distribution, as done in [4]. The optimal offering and operation strategy of WF-ESS can be acquired through solving the optimization programming problem, and the results are shown in Fig.4 and Fig.5.…”

Section: A Case Designmentioning

confidence: 99%

Optimal Offering and Operating Strategy for a Large Wind-Storage System as a Price Maker

Ding

Pinson

et al. 2017

IEEE Trans. Power Syst.

Self Cite

View full text Add to dashboard Cite

Abstract-Wind farms and energy storage systems are playing increasingly more important roles in power systems, which makes their offering non-negligible in some markets. From the perspective of wind farm-energy storage systems (WF-ESS), this paper proposes an integrated strategy of day-ahead offering and real-time operation policies to maximize their overall profit. As participants with large capacity in electricity markets can influence cleared prices by strategic offering, a large scaled WF-ESS is assumed to be a price maker in day-ahead markets. Correspondingly, the strategy considers influence of offering quantity on cleared day-ahead prices, and adopts linear decision rules as the real time control strategy. These allow enhancing overall profits from both day-ahead and balancing markets. The integrated price-maker strategy is formulated as a stochastic programming problem, where uncertainty of wind power generation and balancing prices are taken into account in the form of scenario sets, permitting to reformulate the optimization problem as a linear program. Case studies validate the effectiveness of the proposed strategy by highlighting and quantifying benefits comparing with the price-taker strategy, and also show the profit enhancement brought to the distributed resources.Index Terms-Electricity markets, energy storage system, linear decision rules, offering strategy, price-maker strategy, wind farm NOMENCLATURE Indices/Sets i ∈ I Index of wind farms. j ∈ J Index of energy storage systems t ∈ T Index of time intervals in a day.

show abstract

An Integrated Multiperiod OPF Model With Demand Response and Renewable Generation Uncertainty

Cited by 99 publications

References 31 publications

Modeling and operation optimization of RE integrated microgrids considering economic, energy, and environmental aspects

Modeling and operation optimization of RE integrated microgrids considering economic, energy, and environmental aspects

Tractable and Robust Modeling of Building Flexibility Using Coarse Data

Optimal Offering and Operating Strategy for a Large Wind-Storage System as a Price Maker

Contact Info

Product

Resources

About