Two-stage Economic Dispatch Optimization for Integrated Energy System Using Improved Brain Storm Optimization Algorithm

In this paper, a two-stage economic dispatch operation model of integrated energy system is constructed. Firstly, the day-ahead economic dispatching model is established, which comprehensively considers the operation and maintenance cost, electricity purchase cost, heat purchase cost, fuel cost and energy storage cost. Secondly, on the basis of day-ahead dispatching model, a real-time dispatching optimization model is built by modifying the running state of each micro-source unit. Furthermore, in order to solve the above optimization model, a brain storm optimization(BSO) algorithm based on chaotic crisscross mutation is proposed, that is, the Gaussian mutation in BSO is replaced by chaotic crisscross mutation to enhance the optimization performance and computational efficiency by maintaining the population diversity. Finally, the constructed dispatching model and the proposed CCSO-BSO are validated by a real-world case, and the relative results show that two-stage dispatching optimization model can effectively improve the renewable energy utilization and reduce the system operation cost, it may be a promising alternative for economic operation of integrated energy system.

I. Introduction

With the rapid development of China’s society and economy, the energy crisis and environmental pollution have become increasingly serious. According to statistics, the per capita amount of resources in China is 1/2 less than the world average, 70% of which is non-renewable fossil energy, meanwhile the energy consumption per unit of GDP is 2.5 times of the world average[1]. Therefore, advancing the energy revolution is an important foundation when facing the new changes in China’s energy supply-demand pattern. Integrated energy system(IES) is an acknowledged functional way to solve energy crisis, energy security and efficiency, it can efficiently utilize multiple renewable energy sources and provide users with various energy application modes such as cold, heat and electricity[2]. However, there are several problems need to be solved urgently, including the way of coordinating the power output of each unit to reduce the system operation cost, increase the renewable energy utilization efficiency and eliminate the uncertainty. Thus, to research the economic dispatching optimization of IES is greatly significant.