Optimal Day-Ahead Decision-Making Scheduling of Multiple Interruptible Load Schemes for Retailer With Price Uncertainties

Wang, Kai; Zhu, Ziwei; Guo, Zijun

doi:10.1109/access.2021.3092736

Cited by 4 publications

(2 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When considering the interruptible load demand response, the amount of interruptible load interruptions will have an impact on the customer's electricity consumption behav-ior [19]. The interruptible load curtailment is divided into different classes.…”

Section: Interruptible Load Demand Response Modelmentioning

confidence: 99%

Micro-Grid Day-Ahead Stochastic Optimal Dispatch Considering Multiple Demand Response and Electric Vehicles

Yang

Zhang

et al. 2023

Energies

View full text Add to dashboard Cite

Multiple demand responses and electric vehicles are considered, and a micro-grid day-ahead dispatch optimization model with photovoltaic is constructed based on stochastic optimization theory. Firstly, an interruptible load model based on incentive-based demand response is introduced, and a demand response mechanism for air conditioning load is constructed to implement an optimal energy consumption curve control strategy for air conditioning units. Secondly, considering the travel demand and charging/discharging rules of electric vehicles, the electric vehicle optimization model is built. Further, a stochastic optimization model of micro-grid with demand response and electric vehicles is developed because of the uncertainty of photovoltaic power output. Finally, the simulation example verifies the effectiveness of the proposed model. The simulation results show that the proposed model can effectively tackle the uncertainty of photovoltaic, as well as reduce the operating cost of micro-grid. Therefore, the effective interaction between users and electric vehicles can be realized.

show abstract

Section: Interruptible Load Demand Response Modelmentioning

confidence: 99%

Micro-Grid Day-Ahead Stochastic Optimal Dispatch Considering Multiple Demand Response and Electric Vehicles

Yang

Zhang

et al. 2023

Energies

View full text Add to dashboard Cite

show abstract

“…Another study [46] aimed to determine the impact of a demand response on spot price fluctuations and provide price signals for electricity sales companies. The authors of [47] improved the revenue of electricity sales companies by implementing a differentiated demand response.…”

Section: Research On the Trading Model Of Each Subject In The Electri...mentioning

confidence: 99%

Decision on Mixed Trading between Medium- and Long-Term Markets and Spot Markets for Electricity Sales Companies under New Electricity Reform Policies

Wang

Zhao

2022

Energies

View full text Add to dashboard Cite

The introduction of the new round of electricity reform policies has made the electricity sales companies’ trading environment increasingly complex. In the medium- and long-term market and spot market, following the new policy-oriented optimization of trading decisions is the focus of electricity sales companies. The main objective of this study is to consider the impact of the latest policies of China’s current electricity reform on each subject of electricity trading and to propose a method for electricity sales companies to make optimal decisions on renewable energy source (RES) power and conventional energy source (CES) power mixed with power trading in the medium- and long-term and spot markets to improve the efficiency of electricity market trading, promoting the consumption of renewable energy and helping the synergistic development of the electricity market and the tradable green certificate (TGC) market. This paper first discusses the impact of the new electricity reform policies on the transactions of various subjects in the electricity market and constructs the model of the consumer utility function, the profit model of an electricity sales company, and the profit model of power generators with energy storage. Considering the complex power supply and demand relationship among the various subjects of the electricity market, a game model is established for the decision on mixed trading between the medium- and long-term market, the spot market, and the tradable green certificate market to minimize the comprehensive power purchase cost of an electricity sales company. To reduce the decision-making risk caused by the uncertainty of spot price, the prophet model is used to predict the spot price; finally, through the analysis of the decision-making model of the electricity sales companies, the optimal transaction decisions of the electricity sales companies in different trading periods and different scenarios are solved. The test results show that the proposed model can significantly improve the profitability of the electricity sales companies and provide a decision-making reference for electricity sales companies to participate in the medium- and long-term market and spot market.

show abstract

Evaluation of the Adjustable Potential of Industrial User Load Based on Electricity Data Mining

Nan,

Zheng,

Zong

et al. 2023

2023 IEEE Sustainable Power and Energy Conference (iSPEC)

View full text Add to dashboard Cite

Optimal Day-Ahead Decision-Making Scheduling of Multiple Interruptible Load Schemes for Retailer With Price Uncertainties

Cited by 4 publications

References 30 publications

Micro-Grid Day-Ahead Stochastic Optimal Dispatch Considering Multiple Demand Response and Electric Vehicles

Micro-Grid Day-Ahead Stochastic Optimal Dispatch Considering Multiple Demand Response and Electric Vehicles

Decision on Mixed Trading between Medium- and Long-Term Markets and Spot Markets for Electricity Sales Companies under New Electricity Reform Policies

Evaluation of the Adjustable Potential of Industrial User Load Based on Electricity Data Mining

Contact Info

Product

Resources

About