Optimization And Design Of Regional Energy System

With the acceleration of the process of industrialization and urbanization, the requirement of energy is more and more in China. Energy crisis is characterized by supply and demand imbalances environmental pollution and the greenhouse effect the is becoming increasingly apparent, which seriously restricts China’s economic and social sustainable development. Regional energy system planning is characterized by can large-scale use of renewable energy and clean energy and distributed energy conversion technologies, which is considered to be an effective way to solve the energy crisis.Based on the analysis of domestic and international energy planning methodologies, regional energy optimization model was proposed,which considered the fossil fuels and renewable energy sources, the combination of centralized and distributed energy supply system, and regional energy planning software was developed, as follows:,(1) We have analyzed and summarized the research progress of the energy planning at home and abroad.(2) Established regional integrated energy planning model, the model considers multi-energy complementation of clean energy and renewable energy, the integration of distributed energy systems and centralized energy system, and energy flow network was used to represent the whole process from resources-conversion-terminal load demand. Based on the above planning model, a mathematical optimization model was proposed with the objective of the minimum total cost in planning period, while carbon dioxide emission limits was classified as objective function in the form of carbon tax.(3) The model is solved by a new hybrid algorithm basing on the combination of line-up competition algorithm and linear programming algorithm. Due to the mathematical model is a mixed-integer linear programming (MILP) problem solving process of these problems are prone to appear combinatorial explosion problem,that are not easily to be solved for existing method. Therefore, A new hybrid algorithm combined with line-up competition algorithm and linear programming algorithm was used, which the integer variables was optimized by line-up competition algorithm, the continuous variables was optimized by the linear programming algorithm, the optimal solution can achieved by alternating iterations with two algorithms. And an example is used to verify the validity of the model and algorithm.(4) Based on the proposed mathematical optimization model, and take full advantage of the GUI in MATLAB software, we developed a user-friendly regional energy planning software. The software itself can establish optimization model, reflect the energy supply and demand fluctuations, generate reports and other characteristics, which can provide decision support in the regional energy system planning, design transformation and energy demand forecasts(5) The practicality of the developed software is verified by two instances of the transformation and planning of regional energy systems, The results show that the regional energy planning software can reduce the total cost of the regional system and CO2emissions under the premise of ensuring regional energy supply, which also can alleviate the energy crisis to some extent.