Study on Collaborative Optimization of Economic Dispatch for Demand Response of Multi-energy System in Distribution Network
DOI:
https://doi.org/10.54691/5ncsz938Keywords:
Distribution Network Economic Dispatch; User Psychological Comfort; Demand Response; Multi-energy System.Abstract
To address the issues of high operating costs in distribution grids and insufficient user willingness to respond to demand when a high proportion of distributed generation is connected, this study establishes a coordinated optimization model for economic dispatch and demand response that takes into account user comfort, with the aim of reducing system costs and enhancing demand-side regulation capabilities. Using a modified 33-node system as the subject, an economic dispatch model was established that includes distributed gas turbines, energy storage, photovoltaic systems, and power purchases from the main grid. The objective is to minimize total operating costs, taking into account power flow, voltage and current, and equipment constraints. The total operating cost in Scenario 2 was 16,053.38 yuan, a 4.05% reduction compared to Scenario 1; grid power purchases decreased by 6.84% (from 12,840.06 kWh to 11,962.04 kWh). Under demand response, the load adjustment rate increased, exhibiting a pattern of rising marginal costs. The ChOA algorithm converged in 13 iterations with a convergence time of 3.45 seconds, outperforming the Particle Swarm Optimization (28 iterations, 7.01 seconds) and Genetic Algorithm (24 iterations, 6.23 seconds), demonstrating stable convergence and strong robustness.
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