Work

A collaborative bidding strategy for multi-type combined heat and power units under the daily bidding curve rule

Year: 2026

Type: article

Abstract: This study examines a thermal power plant with a cluster of multi-type combined heat and power units, focusing on solving the collaborative bidding decision problem in the day-ahead spot market. The plant is subject to the rule of the day-ahead spot market that each unit may submit a single daily bidding curve for clearing across all time periods of the next day. To address this, a decision framework is established, comprising three stages: “day-ahead self-scheduling, bidding curve generation, and heat supply verification and curve adjustment.” This framework effectively addresses the challenge of using a single, limited-segment daily bidding curve to accommodate varying electricity prices and heat loads across all periods of the next day. Based on simulation results from a real plant in Northeast China, the proposed approach demonstrates good applicability and effectiveness under various heat load and electricity price scenarios, thereby providing a practical decision-support tool for similar plants participating in electricity spot markets.

Source: International Journal of Electrical Power & Energy Systems

DOI: 10.1016/j.ijepes.2026.111567

Authors: Quan Lyu, Zihang Su, Zhu Chen, Jin Yi, Zhong Zhang, Tiejiang Yuan

Institution: Dalian University of Technology

Language: English

Topic: Electric Power System Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $3,920