Abstract
Decentralized regional multienergy system is one of the important development directions of energy and power systems, and researching on the optimization method of multienergy microgrid configuration could provide important support for the investment income guarantee and orderly development of regional multienergy systems. Based on a park-level multienergy microgrid, this paper proposed a multiobjective optimization model for a multienergy microgrid configuration based on the typical scenario set which was constructed by HMM. Besides, based on the actual historical data, the capacity configuration-oriented planning model and component configuration-oriented planning model were analysed and compared under different external environments. The results show that HMM has a good effect on the reduction and extraction of historical scenarios of the system. Compared with the traditional microgrid, the multienergy microgrid has better economic and emission reduction advantages. In addition, the capacity configuration-oriented planning model could reduce the investment cost by up to 62.4% compared with the component configuration-oriented planning model.
Highlights
In recent years, the depletion of traditional energy resources has enabled the development of clean energy such as wind and solar power
As a comprehensive energy service provider, the operators of multienergy microgrid need to provide users with other types of energy services, such as heating, cooling, and even gas. e uncertainty of different types of energy load must be considered at the planning level, and energy conversion devices and energy storage devices should be properly configured to ensure the reliability of multienergy microgrid system [5]
Operators need to consider the price of upstream electricity and natural gas, the energy purchasing strategy in the wholesale market, and the output of various
Summary
The depletion of traditional energy resources has enabled the development of clean energy such as wind and solar power. In [8], the paper proposed a multienergy microgrid planning and configuration model considering users’ thermal/electrical load demand, in which the location and capacity variables of related equipment are continuous decision variables. The planning and investment decisions of CHP, heat pumps, absorption refrigerators, gas boilers, and other thermoelectric replacement equipment as well as renewable distributed power and electric energy storage equipment in traditional microgrids are mainly considered. Input (i) Energy price scenario in upstream wholesale market (ii) Different types of load data scenarios, such as electricity, heat, and cooling, for each node in the system area (iii) Technical parameters for operation of systems and components (iv) Laying distance of thermal pipe network between nodes. Multienergy Microgrid Configuration Optimization and Typical Scenarios of Construction Methods
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
