Abstract
This paper is focused mainly on the production simulation method of a regional integrated energy system under random scenarios for optimal configuration. First, the cooling, heating, and electric load demand of the regional integrated energy system is described quantitatively in the form of time series, as well as the power characteristics of renewable energy, such as wind power and photovoltaic power generation. Then, a typical scenario set of regional integrated energy system configurations considering the random probability characteristics is established through scene clustering. Second, considering the power output characteristics and cost factors of different types of distributed energy, the corresponding technical and economic quantitative model is established. Third, a multi-objective production simulation model of a regional integrated energy system considering configuration constraints and operation constraints is proposed with economic and environmental protection as the main objectives. Finally, the accuracy and effectiveness of the above methods are verified based on a case study of actual engineering.
Highlights
In recent years, with economic and social sustainable development and renewable energy sources such as wind power and solar energy utilization technology of large-scale popularization and application, energy production and consumption patterns have undergone major transformation.The traditional single-form energy subsystem has been gradually aggregated into a new integrated energy system (IES) through physical coupling and information interconnection
This paper proposes a method for the optimal configuration of regional integrated energy system (RIES)
Aiming at the problem of optimal configuration of a RIES, this paper proposes a production simulation method for the cluster analysis of random scenarios
Summary
With economic and social sustainable development and renewable energy sources such as wind power and solar energy utilization technology of large-scale popularization and application, energy production and consumption patterns have undergone major transformation. In reference [11], a two-layer frame structure suitable for the optimal design of a distributed energy system in China is proposed, which comprises integrated energy equipment type selection and equipment capacity selection based on load changes. Due to the random fluctuations in the power of intermittent distributed energy in RIES, the configuration decision of distributed energy type and capacity in RIES planning and construction is difficult. For this reason, this paper proposes a method for the optimal configuration of RIES based on a clustering of time-series scenarios and production simulation. The accuracy and effectiveness of the above methods are verified based on the analysis of actual engineering cases
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