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Operation and Dispatch of Distribution Network with Seawater Desalination Considering Source-Grid-Load Interaction Index

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Recent Featured Applications of Artificial Intelligence Methods. LSMS 2020 and ICSEE 2020 Workshops (LSMS 2020, ICSEE 2020)

Abstract

In the smart grid environment, flexible load participation plays a very cost-effective role in improving the source-grid-load interaction capability of the distribution network. The essence of the source-grid-load interaction with seawater desalination is to maximize energy utilization in the distribution network. The desalination load is combined with distributed renewable energy or the grid to operate in a coordinated manner to maximize the renewable energy utilization rate and to reduce system operating costs. A source-grid-load interaction comprehensive evaluation index system is initially established for source-grid-load systems, and the interaction indicators are determined from the power source side and the grid side in order to evaluate the flexibility and the interaction effect. The objective is to minimize the operating cost of the distribution network. A source-grid-load interactive comprehensive scheduling model that considers the interaction costs is constructed, and an optimization algorithm is used to solve the problem. The case studies using real project data validate the rationality and practicability of the proposed model.

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Acknowledgments

This work was supported by Projects of State Grid Corporation of China., “Study on Multi-source and Multi-load Coordination and Optimization Technology Considering Desalination of Sea Water” (SGTJDK00DWJS1800011).

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Correspondence to Lu Jin .

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Chen, P., Jin, L., Zhang, J., Cheng, L., Yu, J. (2020). Operation and Dispatch of Distribution Network with Seawater Desalination Considering Source-Grid-Load Interaction Index. In: Fei, M., Li, K., Yang, Z., Niu, Q., Li, X. (eds) Recent Featured Applications of Artificial Intelligence Methods. LSMS 2020 and ICSEE 2020 Workshops. LSMS ICSEE 2020 2020. Communications in Computer and Information Science, vol 1303. Springer, Singapore. https://doi.org/10.1007/978-981-33-6378-6_1

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  • DOI: https://doi.org/10.1007/978-981-33-6378-6_1

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