Bidding and Operation Method of Photovoltaic-Storage System in Energy-reserve Market

This paper proposes an optimal bidding strategy in day-ahead energy-reserve market and power adjustment method in real-time market at the distribution level for the photovoltaic (PV)-storage system taking into account the PV output and price uncertainties. In the day-ahead electricity market, the optimal bidding decision-making is carried out to increase the energy revenue and reduce the reserve payment for the PV-storage system. The charging/discharging plan and upward/downward reserve plan of the energy storage system (ESS) are arranged to change the energy and reserve bids in an optimal way. In the real-time electricity market, the power adjustment strategy of the ESS is presented based on the day-ahead reserve plan, to reduce the penalty caused by actual output deviation of PV. Lastly, a modified IEEE 33 node system is utilized for verifying the effectiveness of the bidding and operation strategy proposed in this paper via numerous simulations. The simulation results reveal that the novel method increases the total profits of the PV-storage system for participating in energy-reserve market.

Authors

Institutions

Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/acfpe63443.2024.10800810
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bidding and Operation Method of Photovoltaic-Storage System in Energy-reserve Market

Pengfei Fan, Baoqin Li, Rong Li, Zongzheng Zhao et al.
Power Systems and Renewable Energy
article

Bidding and Operation Method of Photovoltaic-Storage System in Energy-reserve Market

Pengfei Fan, Baoqin Li, Rong Li, Zongzheng Zhao, Chenlin Gu, Binjie Wu, Lin Zhou, Kai Yang
article en

Abstract

This paper proposes an optimal bidding strategy in day-ahead energy-reserve market and power adjustment method in real-time market at the distribution level for the photovoltaic (PV)-storage system taking into account the PV output and price uncertainties. In the day-ahead electricity market, the optimal bidding decision-making is carried out to increase the energy revenue and reduce the reserve payment for the PV-storage system. The charging/discharging plan and upward/downward reserve plan of the energy storage system (ESS) are arranged to change the energy and reserve bids in an optimal way. In the real-time electricity market, the power adjustment strategy of the ESS is presented based on the day-ahead reserve plan, to reduce the penalty caused by actual output deviation of PV. Lastly, a modified IEEE 33 node system is utilized for verifying the effectiveness of the bidding and operation strategy proposed in this paper via numerous simulations. The simulation results reveal that the novel method increases the total profits of the PV-storage system for participating in energy-reserve market.

China Power Engineering Consulting Group (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 73%
Power Systems and Renewable Energy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.