Multi-objective optimal scheduling method for integrated energy system considering human comfort

Abstract

The invention provides a multi-objective optimal scheduling method for an integrated energy system considering human comfort, considers the user's comfort in the optimal scheduling of the integrated energy system, establishes a PMV model according to the human body's perception of heat, and describes the user's perception of heating; Predicting dissatisfaction PPD describes the user's dissatisfaction with heating, and determines the value range of PMV by setting PDD; establishes the heating load model and the energy equipment models of the integrated energy system. Constraints are set at the same time, including user comfort constraints, energy balance constraints, equipment output constraints, power purchase constraints, battery constraints, consideration of costs and various indicators of primary energy utilization, and a multi-objective optimization model is established using the hierarchical sequence method. Finally, based on the software, the optimal scheduling model built is solved, and the optimal scheduling results of the system and the value of each objective function are obtained. Numerical example analysis verifies the effectiveness of this method for optimal scheduling of integrated energy systems.

Description

technical field [0001] The invention relates to an energy system, in particular to a multi-objective optimal scheduling method for an integrated energy system. Background technique [0002] Energy is the basic source of power for human survival. Adjusting the energy structure, seeking transformation and breakthroughs in the energy industry, and realizing efficient use and sustainable development of energy are the focus of today's society. The traditional energy supply system is composed of electric power system, thermal system and natural gas system. Each subsystem operates independently of each other. There are generally problems such as independent energy supply, low level of cascade utilization, energy waste and environmental pollution. In order to improve this situation, energy Internet, The concept of integrated energy system has been put forward one after another, breaking the traditional existing model and building a unified integrated energy system has become the onl...

AI Technical Summary

Problems solved by technology

In the research of integrated energy systems, cost, carbon emissions, and energy utilization efficiency are usually used as optimization goals, but there are often conflicts between multiple goals, and it is generally difficult to achieve the optimum at the same time. Optimizing only with a single goal may cause The optimization results of some objectives are not satisfactory, so it is necessary to build a multi-objective optimization model to improve the comprehensive benefits of the system

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