TY - GEN
T1 - A Two-Layer Optimal Model for Planned Electricity Allocation Considering Bidding Strategy
AU - Zheng, Wenjun
AU - Zheng, Kai
AU - Li, Ping
AU - Yuan, Songlin
AU - Ni, Gaojun
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - A two-layer optimal model of planned and market electricity allocation is established under planned-market mechanism. The lower layer of the model takes the power generators in the market as main body. Each power generator predicts the rival bidding strategy according to the historical data, and decides its quotation coefficient with the goal of maximizing its own income. The upper layer, with the government as main body, takes the minimum expectation of Lerner index in the electricity market under multiple scenarios as the goal to decide the allocation of planned and market electricity. Based on this model, the competition of power generators under electricity market is simulated, the cost parameters of five power generators with different capacity are set for example analysis, and the constraint conditions of electricity price fluctuation iteration are added to obtain the gradual reduction process of planned electricity and the final optimal results, and the data analysis is carried out on the obtained results.
AB - A two-layer optimal model of planned and market electricity allocation is established under planned-market mechanism. The lower layer of the model takes the power generators in the market as main body. Each power generator predicts the rival bidding strategy according to the historical data, and decides its quotation coefficient with the goal of maximizing its own income. The upper layer, with the government as main body, takes the minimum expectation of Lerner index in the electricity market under multiple scenarios as the goal to decide the allocation of planned and market electricity. Based on this model, the competition of power generators under electricity market is simulated, the cost parameters of five power generators with different capacity are set for example analysis, and the constraint conditions of electricity price fluctuation iteration are added to obtain the gradual reduction process of planned electricity and the final optimal results, and the data analysis is carried out on the obtained results.
KW - Lerner index
KW - Planned electricity
KW - bidding strategy of generators
KW - conditional value at risk
KW - market electricity
KW - mechanism design
UR - https://www.scopus.com/pages/publications/85180413739
U2 - 10.1109/PowerCon58120.2023.10331179
DO - 10.1109/PowerCon58120.2023.10331179
M3 - Conference contribution
AN - SCOPUS:85180413739
T3 - Proceedings - 2023 International Conference on Power System Technology: Technological Advancements for the Construction of New Power System, PowerCon 2023
BT - Proceedings - 2023 International Conference on Power System Technology
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Power System Technology, PowerCon 2023
Y2 - 21 September 2023 through 22 September 2023
ER -