Work

Co-analysis of load distribution and thermal economy of cogeneration units based on improved particle swarm optimization algorithm

Year: 2025

Type: article

Abstract: To improve the operational efficiency and economic performance of cogeneration power plants, this study investigates the optimal thermoelectric load distribution of combined heat and power (CHP) units. Based on the coal consumption characteristics of CHP systems, a thermoelectric load allocation method is proposed. A high-fidelity simulation model of the cogeneration units is established using the power station’s heat balance diagrams, enabling precise evaluation of energy consumption under varying operating conditions. The effects of different load allocation strategies on total coal consumption are systematically examined. An improved Direction Vector-based Particle Swarm Optimization (DPSO) algorithm is developed to construct the thermoelectric load optimization model. Compared with conventional PSO and other intelligent algorithms, the proposed DPSO exhibits superior convergence speed and solution quality. Using typical daily load data and applying the feasible operation region as a constraint boundary, results indicate that the optimized load distribution among four cogeneration units connected to the same heating network reduces total coal consumption by 1.8–3.16 kg/s and decreases the standard coal consumption rate for power generation by 6.9–8.6 g/(kW·h). The analysis further reveals that prioritizing the electrical output of larger units under thermal load constraints while maximizing the thermal output of smaller units under electrical load constraints constitutes an optimal strategy for minimizing overall coal consumption. These findings provide both substantial economic benefits and practical operational guidance for enhancing the thermal economy of cogeneration power plants.

Source: Thermal Science and Engineering Progress

DOI: 10.1016/j.tsep.2025.104454