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Author: search.filters.author.Ding, Zhaohao

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    Guest Editorial Advances in Energy Conversion, Control, Operation and Planning Towards Self-Sustained Highway Transportation Energy System
    (2024-01-01)
    Ding, Zhaohao
    ;
    Dehghanian, Payman
    ;
    He, Jiangbiao
    ;
    Fang, Sidun
    ;
    Illindala, Mahesh
    As a major components of modern transportation systems, the highway transportation system is one of the most significant carbon emission contributors in the entire transportation sector. Although there are numerous distributed renewable resources along the highway system, their diversified inherent characteristics and heterogeneous operational conditions present challenges to fully utilize those clean energy resources for the highway transportation system. Towards the carbon neutrality targets, it is important to investigate the integrated multi-energy conversion, control, operation and planning for the self-sustained highway transportation system from an energy-transportation nexus perspective. Therefore, the coordinated interaction of the various components of the highway transportation energy system becomes essential. This entails not only advancements in energy conversion technologies but also the development of intelligent control systems, sustainable operational models, and forward-thinking planning to enable self-sustained energy ecosystems along the highway.
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    Technical Review on Advanced Approaches for Electric Vehicle Charging Demand Management, Part I: Applications in Electric Power Market and Renewable Energy Integration
    (2020-09-01)
    Teng, Fei
    ;
    Ding, Zhaohao
    ;
    Hu, Zechun
    ;
    Sarikprueck, Piampoom
    This article proposes a comprehensive technical review on advanced approaches for electric vehicle charging demand management. The survey is divided into two parts. Part I consists of two major sections. In the former section, the applications for participating in electric power markets, including energy market and ancillary service market, are reviewed. The applications for enhancing renewable energy integration as single energy and multienergy sources are reviewed in the latter section.
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    Technical Review on Advanced Approaches for Electric Vehicle Charging Demand Management, Part II: Applications in Transportation System Coordination and Infrastructure Planning
    (2020-09-01)
    Ding, Zhaohao
    ;
    Teng, Fei
    ;
    Sarikprueck, Piampoom
    ;
    Hu, Zechun
    This article proposes a comprehensive technical review on advanced approaches for electric vehicle charging demand management. The survey is divided in two parts. The part II of this survey has two major sections that summarize the charging demand management applications on transportation system coordination and infrastructure planning. The transportation system coordination section discusses the coordinated planning and operation of transportation network and power network, while the infrastructure planning section reviews the charging infrastructure planning and coplanning applications.
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    Special Issue on Advanced Approaches and Applications for Electric Vehicle Charging Demand Management
    (2020-09-01)
    Lee, Wei Jen
    ;
    Strbac, Goran
    ;
    Hu, Zechun
    ;
    Ding, Zhaohao
    ;
    Sarikprueck, Piampoom
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    Medium-term operation for an industrial customer considering demand side management and risk management
    (2015-09-14)
    Ding, Zhaohao
    ;
    Sarikprueck, Piampoom
    ;
    Lee, Wei Jen
    Under a deregulated market environment, industrial customers can participate in multiple markets with different time range to purchase electricity. Transactions in different markets make the industrial customer involve in different level of cost uncertainties and risks. To solve this energy procurement portfolio problem, a medium-term operation model is proposed. The risk-term is measured and managed by mean-variance approach. The uncertainties in the proposed model are characterized by stochastic day-ahead and real-time prices generated based on ERCOT historical data. A sample case study is provided to illustrate and verify the proposed model.
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    Medium-term operation for an industrial customer considering demand side management and risk management
    (2015-01-01)
    Ding, Zhaohao
    ;
    Sarikprueck, Piampoom
    ;
    Lee, Wei Jen
    Under a deregulated market environment, industrial customers can participate in multiple markets with different time range to purchase electricity. Transactions in different markets make the industrial customer involve in different level of cost uncertainties and risks. To solve this energy procurement portfolio problem, a medium-term operation model is proposed. The risk-term is measured and managed by mean-variance approach. The uncertainties in the proposed model are characterized by stochastic day-ahead and real-time prices generated based on ERCOT historical data. A sample case study is provided to illustrate and verify the proposed model.