Two-Stage Optimal Scheduling of Highway Self-Consistent Energy System in Western China

Author:

Ye Yujiang1,Shi Ruifeng12ORCID,Gao Yuqin1,Ma Xiaolei3,Wang Di4

Affiliation:

1. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China

2. China Institute of Energy and Transportation Integrated Development, North China Electric Power University, Beijing 102206, China

3. College of Transportation Science and Engineering, Beihang University, Beijing 100191, China

4. Power China Guizhou Electric Power Engineering Co., Ltd., Guiyang 550081, China

Abstract

Under the background of “carbon peaking and carbon neutrality goals” in China, the Highway Self-Consistent Energy System (HSCES) with renewable energy as the main body has become a key research object. To study the operational status of the HSCES in a specific region and realize the economically optimal operation of the HSCES, an HSCES model in a low-load, abundant-renewable-energy and no-grid scenario is established, and a two-stage optimal scheduling method for the HSCES is proposed. Moreover, in the day-ahead stage, uncertainty optimization scenarios are generated by Latin hypercube sampling, and a definition of the self-consistent coefficient is proposed, which is used as one of the constraints to establish a day-ahead economic optimal scheduling model. Through the case comparison analysis, the validity of the day-ahead scheduling model is confirmed and the optimal day-ahead scheduling plan is attained. Furthermore, in the intra-day stage, an intra-day rolling optimization method is proposed, which can effectively track the day-ahead scheduling plan and reduce the impact of forecast errors and energy fluctuations by coordinating the unit output within the HSCES system. It is verified that the HSCES can operate economically and safely in Western China, and self-consistently, without grid support.

Funder

National Key R & D plan Foundation of China

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

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