Regional integrated energy system long-term planning optimization based on multi-energy complementarity quantification

Abstract

The regional integrated energy system (RIES) is vital to utilizing added renewable energy and improving energy efficiency. Multi-energy complementarity is the primary characteristic and advantage of RIES. A quantitative complementarity analysis is critical to reveal its long-term effects and realize the flexible construction and coordinated operation in RIES. This paper proposes an innovative complementarity quantification method by analyzing the correlation of multi-energy net load. A multi-objective two-layer model combined with comprehensive cost analysis is established, considering renewable energy allocation, operation, investment, and maintenance. System complementarity indicators are evaluated dynamically according to the various devices’ power output time series in the long-term planning process. Regional load, meteorological characteristics clustering and non-dominated sorting genetic algorithm are also developed to improve solver efficiency. Then, simulations of daily operations and long-term planning are carried out. The scheduling modes of three main energy carriers and the output fluctuation of renewable energy in different planning schemes are further compared to demonstrate the mechanism and effectiveness of multi-energy complementation. The results revealed quantitative relationships between complementarity and economy on the early investment and long-term scales, which helped to present optimal system configuration strategies. The complementarity effectively alleviated the grid peak pressure by 11.5% in a daily operation case and reduced the annualized total cost by €11,957 per year in a 20-year planning simulation with 10% load growth.