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7. Distribution Locational Marginal Pricing Under Uncertainty Considering Coordination of Distribution and Wholesale Markets

Author

Zhao, Zongzheng, Liu, Yixin, Guo, Li, Bai, Linquan, and Wang, Chengshan

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

An effective distribution electricity market (DEM) is required to manage the rapidly growing small-scale distributed energy resources (DERs) in distribution systems (DSs). This paper proposes a day-ahead DEM clearing and pricing mechanism to account for the uncertainty of DERs and the coordination with the wholesale electricity market (WEM) through a bi-level model. The upper-level model clears the WEM in the transmission system (TS) and forms the locational marginal price (LMP) and uncertainty LMP (ULMP) for energy and uncertainty/reserve, respectively. In the lower level, a robust scheduling model considering WEM-DEM coordination and uncertainties is proposed to clear the DEM. Accordingly, the distribution LMPs (DLMPs) for active power, reactive power and uncertainty/reserve are derived to reward the energy/reserve provision and charge uncertain resources in the DEM, which provide effective price signals for managing not only the voltage and congestion, but also the uncertainty in DSs. A heterogeneous decomposition (HGD) algorithm is utilized to solve the bi-level model in a decentralized manner with limited information interaction between TS and DSs, which guarantees the solution efficiency and information privacy. The effectiveness of the proposed method is verified via numerous case studies.

Published
2021

10. Integrated Energy Microgrids and Low-Carbon Operation Optimization of Coal Mining Areas

Author

Mu Yunfei, Wu Zhijun, Guo Haochen, Jia Hongjie, and Wang Chengshan

Subjects
coal mining areas, integrated energy microgrids, material‒energy‒carbon hub model, carbon-energy synergy, low-carbon operation optimization, Engineering (General). Civil engineering (General), TA1-2040
Abstract

Currently, the isolated development of energy in the coal mining areas and the energy supply mode based on coal power generation and grid power supply can no longer satisfy the requirements for implementing clean coal-mining and building a new energy development pattern that is green, low-carbon, and recyclable. Therefore, it is necessary to build integrated energy microgrids in the coal mining areas to enhance the comprehensive utilization of energy and control carbon emissions in these areas. This study explores the demand for and natural advantages of integrated energy microgrids application in the coal mining areas, proposes an integrated energy microgrid framework, and analyzes the development elements of the framework: new energy generation, energy storage, associated energy utilization, multi-energy coupling, and optimal scheduling of energy. A material‒energy‒carbon hub model is established in the coal mining areas, realizing low-carbon operation optimization based on carbon ‒ energy synergy of integrated energy microgrids in typical coal mining areas. The results indicate that the application of integrated energy microgrids in coal mining areas can fully exploit and efficiently integrate the advantages of resources such as wind, solar energy, gas, air heat, and gushing water heat, and energy storage devices can further improve the match degree between energy supply and load demand, thereby reducing the amount of power purchased from the power grid and the carbon emissions from electricity consumption in the coal mining areas. The low-carbon operation optimization process takes into account the carbon‒energy coupling of various types of equipment and supports the formulation of low-carbon and economical operation strategies. This study is expected to provide new concepts and technical support for the high-quality economic and social development of coal mining areas.

Published
2023
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14. A Locational Marginal Pricing Mechanism for Uncertainty Management Based on Improved Multi-Ellipsoidal Uncertainty Set

Author

Zhao, Zongzheng, Liu, Yixin, Guo, Li, Bai, Linquan, and Wang, Chengshan

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

Large-scale integration of renewable energy sources (RES) brings huge challenges to the power system. A cost-effective reserve deployment and uncertainty pricing mechanism are critical to deal with the uncertainty and variability of RES. To this end, this paper proposes a novel locational marginal pricing mechanism in day-ahead market for managing uncertainties from RES. Firstly, an improved multi-ellipsoidal uncertainty set (IMEUS) considering the temporal correlation and conditional correlation of wind power forecast is formulated to better capture the uncertainty of wind power. The dimension of each ellipsoidal subset is optimized based on a comprehensive evaluation index to reduce the invalid region without large loss of modeling accuracy, so as to reduce the conservatism. Then, an IMEUS-based robust unit commitment (RUC) model and a robust economic dispatch (RED) model are established for the day-ahead market clearing. Both the reserve cost and ramping constraints are considered in the overall dispatch process. Furthermore, based on the Langrangian function of the RED model, a new locational marginal pricing mechanism is developed. The uncertainty locational marginal price (ULMP) is introduced to charge the RES for its uncertainties and reward the generators who provide reserve to mitigate uncertainties. The new pricing mechanism can provide effective price signals to incentivize the uncertainty management in the day-ahead market. Finally, the effectiveness of the proposed methods is verified via numerous simulations on the PJM 5-bus system and IEEE 118-bus system.

Published
2020

18. Development of Energy and Mining Governance System Based on New-Generation Information Technology

Author

Wang Guofa, Zhang Tiegang, Wang Chengshan, Pang Yihui, Yang Ting, Sun Chunsheng, Hu Yahui, and Zhang Peng

Subjects
energy security，next-generation information technology，energy and mining，government regulation，governance systems, Engineering (General). Civil engineering (General), TA1-2040
Abstract

In view of the risks and challenges facing China’s energy and mining security, this article analyzes the changes and development pattern of China’s energy demand under the target of carbon peak and carbon neutrality. The coupling development of new and fossil energy resources is an inevitable path for ensuring a stable supply of diversified energies in China in the future. In this article, we study the characteristics of fifth-generation communication, big data, blockchain, and artificial intelligence technologies and their application prospects in the energy and mining fields, and propose a technological path for reforming China’s energy and mining governance system based on the new-generation information technologies. Specifically, we explore the integration of the newgeneration information technologies with the energy and mining development technologies and their application to energy production, transportation, consumption, market, and government regulation. Moreover, we propose a strategic approach of building a new governance model of energy and mining industries based on the new-generation information technologies. To this end, it is necessary to strengthen basic research and equipment development, support new infrastructure construction in energy and mining fields, provide policy and fund guarantee, and establish a national intelligent platform for energy and mining safety production and trade.

Published
2022
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34. Model-Free Distributed Voltage Control for Distribution Networks Based on State Space Mapping and Super-Linear Feedback

Author

Wang, Zhongguan, Liu, Jiachen, Zhu, Xiang, Li, Xialin, Guo, Li, Bai, Linquan, and Wang, Chengshan

Abstract

Large-scale integration of renewable generation has changed the way that distribution networks are operated, posing significant challenges to voltage control. To address this challenge, system operators need to exploit the potential of inverter-based renewable generation for reactive power regulation. However, the distribution network parameters are usually inaccurate or incomplete, making conventional centralized or model-dependent distributed control methods difficult for fast voltage tracking and optimal reactive power distribution. This paper proposes a model-free distributed Newton method for voltage control based on data-driven lift-dimension linear power flow which does not reply on accurate and complete network parameters. By using matrix splitting to calculate Hessian matrix, the proposed method possesses a super-linear convergence and exhibits superiority in fast response over existing linear methods. Furthermore, a Koopman-based state space mapping method is proposed to obtain global sensitivity and tune the iteration direction in an off-line manner, which can realize model-free voltage control. The convergence and optimality of the proposed method are validated by case studies. Especially, the parameter independence feature of the model-free scheme provides decided superiority in scenarios of incomplete model. Even under communication failures, the proposed method still can maintain voltage stability at a suboptimal point.

Published
2024
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35. Data-Driven Multi-Mode Adaptive Operation of Soft Open Point With Measuring Bad Data

Author

Gao, Shiyuan, Li, Peng, Ji, Haoran, Zhao, Jinli, Yu, Hao, Wu, Jianzhong, and Wang, Chengshan

Abstract

The high penetration of distributed generators (DGs) deteriorates the uncertainty of active distribution networks (ADNs). Soft open points (SOPs) can effectively improve flexibility and deal with operational issues in ADNs. However, the formulation of SOP control strategies depends on the accurate mechanism model. Data-driven method can utilize only measuring data to conduct operation and becomes a promising way. In practical conditions, the measuring data may suffer from bad data and measuring errors, which poses a challenge to meet the diverse operational requirements. This paper proposes a data-driven multi-mode adaptive control method for SOP with measuring bad data. First, considering the inaccurate network parameters and quality of measuring data, a robust data-driven framework for SOP operation is proposed based on robust hierarchical-optimization recursive least squares (HO-RLS). Then, a multi-mode control strategy for SOP is proposed to adapt to the diverse operational requirements. A dynamic triggering mechanism is designed to achieve adaptive mode switching. The case studies on practical distribution networks show that the proposed method can fully explore the benefits of SOP to improve the operational performance of ADNs. The potential limitations are discussed to enhance practicality.

Published
2024
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36. Effects of global warming and Tibetan Plateau uplift on East Asian climate during the mid-Cretaceous

Author

Zhang, Jian, Wang, Licheng, Flögel, Sascha, Hu, Yongyun, Wang, Chengshan, Zhang, Jian, Wang, Licheng, Flögel, Sascha, Hu, Yongyun, and Wang, Chengshan

Abstract

Highlights • East Asian climate evolution was dependent on the latitude of the proto-Tibetan Plateau in the deep past; • Global warming induced wetting at mid-latitude East Asian in the mid-Cretaceous; • The proto-Tibetan Plateau uplift led to drying in the subtropical East Asian in the mid-Cretaceous. Abstract Sedimentary records indicate that subtropical and mid-latitude East Asia exhibited considerable drying and wetting, respectively, during the mid-Cretaceous, which is considered to be relevant to much higher atmospheric carbon dioxide (pCO2) concentrations and/or proto-Tibetan Plateau (proto-TP) uplift. In order to explore and compare their roles on the East Asian climate evolution, we conducted simulations of the mid-Cretaceous climate system with different atmospheric pCO2 levels and varying topographies. The results show that both factors had significant influences on the East Asian climate. As the increase in atmospheric pCO2 levels from ∼560–1120 ppmv to ∼1120–2240 ppmv, the precipitation increases considerably over mid-latitude East Asia, but only small changes in the subtropical portion of East Asia occur. Simultaneously, the effects of the proto-TP uplift are opposite to those of global warming trend during that period. Generally, it leads to a precipitation decrease over subtropical East Asia, but rather minor changes over mid-latitude East Asia. These changes are qualitatively consistent with the deduction based on the geological records, but the magnitudes of the modeled precipitation changes are relatively smaller. Therefore, we can conclude that the subtropical East Asian drying during the mid-Cretaceous can be partly explained by the proto-TP uplift, while the mid-latitude East Asian wetting was partly due to global warming. However, additional factor(s) also played a significant role in the East Asian climate evolution during the mid-Cretaceous.

Published
2024
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