Optimal Design of Multi-energy Complementary Distributed Energy System Considering Load Uncertainty

With the large-scale penetration of distributed combined cooling, heating and power system, many problems like the poor flexibility and single energy source occur, which poses a big obstacle to its future development. To overcome these issues, the multi-energy complementary distributed energy system is proposed for improving the flexibility and increasing the ratio of renewable energy resources. For such a complex system, how to integrate and operate various equipment in an efficient and environmentally friendly way is of vital importance. Thus, rational system design and optimization is necessary. In this study, on the basis of stochastic programming theory, the optimal equipment configuration of the multi-energy complementary distributed energy system considering uncertain loads is studied. All possible load conditions are simulated by Monte Carlo simulation, then the stochastic optimization is transformed into the deterministic optimization. The results show that when considering the uncertain load, the system configuration is affected obviously and the overall advantage of the multi-energy complementary distributed energy system is declined.