In-building temperature control load optimization method and system for comprehensive comfort

Abstract

The invention provides an in-building temperature control load optimization method and system for comprehensive comfort. The method comprises the following steps: constructing an in-building temperature control load optimization model for comprehensive comfort; wherein the building temperature control load optimization model takes the maximum comprehensive comfort as a target, the comprehensive comfort is determined according to the somatosensory comfort and the economic comfort, the economic comfort is determined according to the power saving cost and the economic compensation after the load in the building participates in power utilization regulation and control, and the somatosensory comfort is determined according to the indoor temperature of the indoor space in the building; and solving the temperature control load optimization model in the building based on an ecological niche particle swarm algorithm, and taking the optimal solution of the temperature control load optimization model in the building as the optimal power consumption power of each temperature control load in each time period in the preset time period. The behavior that the temperature control loads in the building participate in power utilization regulation and control is described more objectively, the feasibility that the temperature control loads in the building participate in power utilization regulation and control is improved, and the power utilization plan of each temperature control load is made optimally.

Description

technical field [0001] The invention relates to the technical field of power systems, in particular to a method and system for optimizing temperature control loads in buildings oriented to comprehensive comfort. Background technique [0002] In recent years, with the increasing proportion of building energy and temperature-controlled loads, especially the surge in cooling and air-conditioning loads in summer and electric heating loads in winter, the seasonal peak loads on the power grid have shown rapid growth, and have already occurred in summer and winter. A double-load peak is formed; at the same time, because the energy consumption of buildings in the peak load season is affected by the daily work and rest habits of the owners, the peak-to-valley difference of the daily load curve of the power grid is increasing day by day. How to give full play to the adjustment capabilities of various types of control resources in the building, cope with the peak and valley changes of ...

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a comprehensive comfort-oriented building temperature control load optimization method and system, which is used to solve the problem that it is difficult to accurately obtain the optimal building energy flexible load power consumption strategy in the prior art, which has low applicability and pertinence Not strong, reduces the defect of the feasibility of building energy use to participate in the regulation of peak-valley difference on the grid side, realizes accurate optimization of each temperature control load in the building, and improves the feasibility of building energy use to participate in the regulation of peak-valley difference on the grid side

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