Standardized modeling for multiple energy systems and its market aspects

Abstract

For the current century, fuel safety and environmental protection are the two challenges for future human development. Therefore, a novel, accessible, affordable, reliable, efficient and environment friendly energy service is essential for all participants in the energy market. In recent years, the concept of multiple energy systems (MESs), which can significantly improve energy use efficiency and exploit renewable energies, attract many researchers from different countries’ attention. Compared to independent energy grids, the MES combines different forms of energy systems, including power, hydraulic, heat, and cooling system. Thus, the optimal planning and scheduling a MES is challenging for MES study. Additionally, considering the interdependencies among several energy bidding markets, a fair and efficient multiple energy market scheme should be designed. Generally, there are three main MES models: energy hub (EH) model, a network of EHs model, and a refined MES model. In this thesis, firstly, a standardized modeling technique is provided for the EH, which can be easily applied for coupling matrix formulation, especially for complicated one. Then, a network of EHs modelling method is developed by combining the EH modelling technique and detailed MES modelling method provided by previous studies. As for the calculation method, a linearization method is applied for MES optimal operation state calculation based on variable substitution method in each step. Non-dominated sorting genetic algorithm II (NSGA-II) is adopted for calculating the multi-objective optimal decisions, i.e. Pareto front, for a local area MES within finite time. In a network of EHs, a novel direct-current (DC) power flow technique, which consider the voltage value and transmission loss, is applied for to calculating the electric system; 2D piecewise linear approximation method (PLAM) and 4D PLAM is used for Weymouth function and compressor operational function, respectively. Finally, a joint clearing market scheme is designed for coupled gas-electricity market. The proposed method identifies the locational marginal electricity price (LMEP) and locational marginal gas price (LMGP) with considering bilateral contracts based on piecewise linearization approximation (PLA) algorithm. In summary, this thesis has developed standardized modelling and optimization methods for each type of MES models. Then, a joint electricity and gas clearing market is designed by using the refined MES model.