Abstract
Under the background of increasing energy demand, integrated energy system is an important way to promote the development of clean energy, support the efficient use of energy and energy saving and emission reduction. This paper firstly establishes a comprehensive energy system evaluation index model composed of three sub-models of economy, environment and energy. On the basis of this model, a comprehensive energy multi-objective optimization mathematical model with the lowest total cost, excellent environmental benefits and high comprehensive energy utilization efficiency is established, and the energy supply and demand allocation optimization method based on improved genetic algorithm is adopted for solution. The simulation proves the effectiveness of the proposed optimization model.
Highlights
With the increasing depletion of traditional energy sources and the growing prominence of environmental pollution, the efficient use of renewable energy has become the key to solving the energy crisis in today's society [1, 2]
Zheng et al [6] studied a large-scale integrated energy system composed of distributed district heating and cooling units and wind turbines, and proposed a multi-target group search optimization method to optimize the system's power scheduling
An approximate solution algorithm for the real-time scheduling optimization problem is proposed for an integrated energy system equipped with intermittent renewable energy sources in literature [7]
Summary
With the increasing depletion of traditional energy sources and the growing prominence of environmental pollution, the efficient use of renewable energy has become the key to solving the energy crisis in today's society [1, 2]. The modeling and analysis, operation and scheduling optimization, and comprehensive evaluation of integrated energy have become hot spots for scholars at home and abroad. An approximate solution algorithm for the real-time scheduling optimization problem is proposed for an integrated energy system equipped with intermittent renewable energy sources in literature [7]. This paper first establishes a comprehensive energy system evaluation index model, and on the basis of this model, solves the comprehensive energy optimization model from the perspectives of economy, environmental index and comprehensive energy utilization rate. The comprehensive energy system evaluation index used in this paper consists of three sub-models: economy, environment and energy. Through the settings of the three submodels, the hierarchical combination forms a reasonable criterion for the planning and regulation of the comprehensive energy system
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