A Remedial Strategic Scheduling Model for Load Serving Entities Considering the Interaction between Grid-Level Energy Storage and Virtual Power Plants

Haiteng Han, Hantao Cui, Shan Gao, Qingxin Shi, Anjie Fan and Chen Wu
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Haiteng Han: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Hantao Cui: Electrical Engineering and Computer Science Department, University of Tennessee, Knoxville, TN 37996, USA
Shan Gao: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Qingxin Shi: Electrical Engineering and Computer Science Department, University of Tennessee, Knoxville, TN 37996, USA
Anjie Fan: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Chen Wu: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China

Energies, 2018, vol. 11, issue 9, 1-19

Abstract: More renewable energy resources have been connected to the grid with the promotion of global energy strategies, which presents new opportunities for the current electricity market. However, the growing integration of renewable energy also brings more challenges, such as power system reliability and the participants’ marketable behavior. Thus, how to coordinate integrated renewable resources in the electricity market environment has gained increasing interest. In this paper, a bilevel bidding model for load serving entities (LSEs) considering grid-level energy storage (ES) and virtual power plant (VPP) is established in the day-ahead (DA) market. Then, the model is extended by considering contingencies in the intraday (ID) market. Also, according to the extended bidding model, a remedial strategic rescheduling approach for LSE’s daily profit is proposed. It provides a quantitative assessment of LSE’s loss reduction based on contingency forecasting, which can be applied to the power system dispatch to help LSEs deal with coming contingencies. Simulation results verify the correctness and effectiveness of the proposed method.

Keywords: energy storage; virtual power plant; remedial strategic scheduling; mathematical program with equilibrium constraints; electricity market (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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