Abstract
A collaborative optimization strategy of an integrated energy system aiming at improving energy efficiency is studied in this paper for the cluster optimization of an integrated energy system (IES). In this paper, an improved discrete consistency method based on the coordination optimization method for IES is proposed. An IES model considering the mixed energy supply of electricity, heat, and gas is constructed in a single region. And then an objective function with the maximum return is established, on the premise of assuming that the prices of electricity, heat, and gas can be used as an economical means to adjust the energy utilization. Finally, the consistency theory is applied to the IES, and the improved discrete consistency algorithm is utilized to optimize the objective function. In the case study, a certain region IES is taken as an example in Northeast China. The case study demonstrates the effectiveness and accuracy of the coordination optimization method for IES.
Highlights
With the progress of renewable energy technology and the development of energy Internet, the research on technology related to comprehensive energy system containing a high proportion of renewable energy is gradually becoming a hot topic [1,2,3]
Integrated energy system, with grid as the core, is connected to various types of energy sources such as electricity, heat, and gas, which makes the high proportion of the renewable energy grid more capable of dealing with uncertainty and randomness, and can be effectively compatible with various forms of energy to ensure the sustainable and reliable operation of diversified energy supply systems
integrated energy system (IES) is the important component in the energy Internet, which realizes integrated energy management by interconnection among multiple energy conversion equipment. e house is equipped with electric loads, gas loads, heat loads, and solar cells, which can be self-sufficient through photovoltaic power generation and can interact with other energy areas. e IES consists of solid state transformer (SST), battery, electric boiler (EB), microturbine (MT), heat exchanger, and heat storage (HS), which can realize the generation of electric energy and heat energy, the conversion of electric energy to heat energy, and the storage of electric energy and heat energy
Summary
With the progress of renewable energy technology and the development of energy Internet, the research on technology related to comprehensive energy system containing a high proportion of renewable energy is gradually becoming a hot topic [1,2,3]. E economically optimized operation model of cogeneration unit was solved using improved genetic algorithm in [10], based on the implementation of the electricity price. In order to improve the information processing capability of the system, the collaborative distributed optimization operation strategy of the integrated energy system based on the consensus algorithm is proposed in [24]. A uniform algorithm is used to solve the operation optimization problem of the multiarea interconnected integrated energy system. According to the improved discrete consensus algorithm flow, the model is continuously iteratively calculated, and the prices of electricity, heat, and gas in each region are constantly updated. According to the improved discrete consensus algorithm flow, the model is continuously iteratively calculated, and the prices of electricity, heat, and gas in each region are constantly updated. e validity and correctness of the proposed method in this paper have been verified
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