山东电力技术2026，Vol.53Issue(2)：78-88,11.DOI:10.20097/j.cnki.issn1007-9904.250387
考虑等效竞争对手的发电商日前市场竞价策略优化
Research on Day-ahead Market Bidding Strategy Optimization for Power Generators Considering Equivalent Competitors
摘要
Abstract
In the context of the continuously expanding electricity market trading scale,the scientific and reasonable formulation of market bidding strategies for power generators has become an urgent issue to solve.This paper proposes a day-ahead market bidding decision method for power generators participating as price makers,which considers equivalent competitors.The method first standardizes historical bidding data of power generators using Chameleon clustering to extract typical bidding patterns for different types of generating units.To manage the uncertainty of competitors'bidding behaviors,the concept of equivalent competitors is introduced,and a two-stage long short-term memory(LSTM)model is established to estimate and predict the cumulative bidding curve of these equivalent competitors.Based on this,a bi-level optimization model is constructed to determine the optimal bidding strategy for power generators participating in the day-ahead market.Case studies validate the effectiveness of this method,demonstrating good simulation results for real electricity markets and improved market returns for power generators,thereby providing effective guidance for quantity and price bidding decisions of power generators.关键词
发电商/电力市场/等效竞争对手/双层优化模型/交易决策Key words
power generator/electricity market/equivalent competitor/bi-level optimization model/trading decision分类
信息技术与安全科学引用本文复制引用
吴主辉,黄宇飞,郭久林,张少为,鞠家鑫,李知艺..考虑等效竞争对手的发电商日前市场竞价策略优化[J].山东电力技术,2026,53(2):78-88,11.基金项目
国家自然科学基金项目(52477132). National Natural Science Foundation of China(52477132). （52477132）
