Multi-Scenario Planning of Distribution Network in the Context of Integrated Energy
With the development of energy utilization equipment, integrated energy system has become an important development direction for energy supply. Compared to the single form of energy supplies, the integrated energy supply system can provide users with a more economical, efficient, and diversified ene...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2021-04-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202002031 |
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| Summary: | With the development of energy utilization equipment, integrated energy system has become an important development direction for energy supply. Compared to the single form of energy supplies, the integrated energy supply system can provide users with a more economical, efficient, and diversified energy supplies, in which the distribution network that includes combined cooling heating and power (CCHP) units, electric refrigerators and other equipment is the main physical carrier. Based on this, we propose a multi-scenario planning method for coordinated planning of integrated energy system equipment and distribution network substation capacities with consideration of the uncertainties of new energy and the electricity, heat and cooling loads, to achieve efficient and reliable electricity, gas and heat supply. Firstly, according to the physical characteristics of CCHP units, electric refrigeration equipment and gas-fired boilers, a mathematical model for corresponding energy conversion is established. Considering the influence of numerous components in the integrated energy system on the node voltage of distribution network, the Distflow model is used to establish a AC power flow model. Secondly, in view of the impact of the uncertainties of renewable energy output and demand of electricity, gas and heat loads on the planning results, typical scenarios are used to describe the seasonal characteristics of electricity, gas, and heat loads, and the fluctuation of renewable energy output. Finally, a multi-scenario collaborative planning model for integrated energy system and distribution network is developed. The proposed model is tested on a reconstructed IEEE 33-node power distribution network system, and the results of the case study have verified the effectiveness and rationality of the proposed planning method. |
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| ISSN: | 1004-9649 |