Abstract
In order to promote the coordination of various forms of energy resources such as electric energy, heat energy, and cold energy, and to achieve complementary and efficient use of different energy sources, a method for optimizing the allocation of the capacity of a regional comprehensive energy system that takes into account the trading of electric and thermal energy is proposed. The energy interaction costs of the system and the grid heat network are included in the total cost. The optimization goal is a multi-objective function that comprehensively considers system economics, environmental protection, reliability, and interactive power fluctuations. Based on the energy hub, the capacity of each energy supply equipment in the area is optimized. Time-sharing electricity price and typical daily system economic operation are solved by genetic algorithm. Finally, an example of a park is used to verify its effectiveness. The results show that the proposed method can effectively reduce the system cost and reasonably avoid the limitations caused by the single decision factors in the system planning stage, thus providing a reference for the actual system planning and design.
Highlights
With the rapid development of the social economy, the contradiction between the growth of energy demand and the shortage of energy is becoming increasingly prominent
Literature [5] establishes an improved demand-side response model, and on this basis, uses the GA-PS combined intelligent algorithm to solve with the minimum total cost as the optimization goal
There is a lack of comprehensive consideration of economics, environmental protection, and reliability, and the planning goals for the energy system are relatively single
Summary
With the rapid development of the social economy, the contradiction between the growth of energy demand and the shortage of energy is becoming increasingly prominent. Further research is needed on the diversification of energy equipment in multi-energy systems, the interactivity and reliability of electrothermal energy To this end, this paper proposes a method for optimizing the allocation of the capacity of a regional integrated energy system that takes into account the trading of electrical and thermal energy. The optimization objective comprehensively considers economic costs, environmental benefits, and reliable energy supply The factors of system performance and system power fluctuation are based on time-sharing electricity price and typical daily economic operation of the system, and are solved by genetic algorithm to achieve the optimal capacity allocation of the system
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