Optimal Capacity Allocation of Integrated Energy System Considering Multiple Uncertainties

Abstract

Integrated energy system (IES) can realize the complementary energy supply of various energy forms such as electricity, heat and gas, so as to promote the consumption capacity of renewable energy and improve the comprehensive utilization efficiency of energy. The IES capacity planning considering multiple uncertain factors is closer to the actual situation, and it is also the basis for realizing multi-energy coordination and IES optimal operation. Aiming at the volatility of renewable energy such as wind and solar energy and natural gas prices, this paper proposes an IES capacity planning model considering multiple uncertain factors. The duality robust counterpart (DRC) algorithm is used to convert the uncertain problem into a deterministic problem. Finally, an IES capacity planning model with the minimum sum of investment and operation and maintenance costs as the objective function is obtained. The case studies show that the proposed model can economically and reliably satisfy the various types of load demands in the system throughout the planning cycle.