Article
Engineering, Chemical
Paramjeet Kaur, Krishna Teerth Chaturvedi, Mohan Lal Kolhe
Summary: Cogeneration, also known as combined heat and power (CHP) system, reduces costs and emissions by using waste heat from steam turbines and helps overcome the intermittency of renewable energy. This study analysed the economic dispatch of a CHP system connected with a wind power plant and found that operational costs were significantly reduced with the integration of wind energy.
Article
Energy & Fuels
Xusheng Guo, Suhua Lou, Zhe Chen, Yaowu Wu
Summary: This study focuses on utilizing the flexible regulation potential of large-scale combined heat and power (CHP) units in a power and heat integrated energy system (PHIES) with high voltage direct current (HVDC) transmission infeed to address the peak-shaving pressure caused by HVDC delivery power and fluctuating wind power. The results show that retrofitting technologies can greatly alleviate wind curtailment and reserve risk of the entire system.
Article
Energy & Fuels
Tuo Jiang, Yong Min, Guiping Zhou, Lei Chen, Qun Chen, Fei Xu
Summary: IHPS is a promising approach for mitigating wind curtailment issues, particularly through modeling the internal composition of CHP plants to achieve synergistic effects of different energy resources, promoting wind power accommodation and reducing fossil fuel consumption.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
(2021)
Article
Thermodynamics
Mengshu Zhu, Jinghua Li
Summary: This paper investigates the heat transfer process and thermal time-lag issues in combined heat and power (CHP) systems. It proposes a novel dispatch model considering heat transfer delays and adopts a decomposition-coordination method to solve the non-linear problem. The simulation results prove the effectiveness and accuracy of the proposed model.
Article
Chemistry, Multidisciplinary
Haiteng Han, Yao Zhang, Tiantian Wei, Haixiang Zang, Guoqiang Sun, Chen Wu, Zhinong Wei
Summary: The increase in energy consumption has depleted fossil fuels and intensified the greenhouse effect, making low carbonization a key trend in global energy development. Demand response resources can be used to cooperate flexibly with renewable energy, optimizing system dispatch and promoting renewable energy consumption.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Information Systems
Di Liu, Zhongbo Hu, Qinghua Su
Summary: This study proposes a neighborhood-based differential evolution algorithm with direction induced strategy (NDIDE) to solve the large-scale CHPED problem. The algorithm demonstrates good feasibility and superior performance in several CHPED systems.
INFORMATION SCIENCES
(2022)
Article
Energy & Fuels
Paramjeet Kaur, Krishna Teerth Chaturvedi, Mohan Lal Kolhe
Summary: CHP plants in the smart network environment require optimal techno-economic dispatching to provide both electricity and heat demand while minimizing energy cost.
Article
Engineering, Chemical
Paramjeet Kaur, Krishna Teerth Chaturvedi, Mohan Lal Kolhe
Summary: Co-generation units, also known as combined heat and power plants (CHPs), play a crucial role in meeting energy demands while minimizing costs and reducing emissions. The optimization of CHP economic dispatch, complicated by the dual dependence of heat and power, requires strategic approaches to achieve fuel efficiency and operational effectiveness. This study proposes a metaheuristic optimization algorithm to address these complexities with promising results in terms of solution accuracy and convergence.
Article
Thermodynamics
Congyu Wang, Jiwei Song, Daning You, Wei Zheng, Junshan Guo, Lingkai Zhu
Summary: This study focuses on the optimal dispatch of renovated CHP units, using energy and exergy analysis models and adopting AMPSO algorithm for optimization. The results show that LZPO renovations are more effective in consuming renewable energy, and HBP renovations can be considered as the preferable coal-saving option.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Energy & Fuels
Miel Sharf, Iliya Romm, Michael Palman, Daniel Zelazo, Beni Cukurel
Summary: This work addresses the economic dispatch problem for a single micro gas turbine and presents a robust optimization-based approach to handle the uncertainty of power and heat demands. Two different choices of uncertainty sets are considered, and the problems are transformed into robust shortest-path problems. Efficient algorithms for solving these problems are provided.
Article
Computer Science, Artificial Intelligence
Di Liu, Zhongbo Hu, Qinghua Su, Mianfang Liu
Summary: The paper introduces a niching differential evolution algorithm (NDE) to solve the large-scale CHPED problem. By incorporating niching methods into the differential evolution algorithm and implementing a two-phase selection strategy, the NDE balances global and local search capabilities effectively.
APPLIED SOFT COMPUTING
(2021)
Article
Engineering, Multidisciplinary
Abouzar Samimi, Hossein Shateri
Summary: This paper introduces a network constrained optimal operation model for both grid-connected and isolated microgrids, encouraging DER units to provide reactive power and considering the dependency between heat and active power generation by CHP and DER units. The main goal is to find the optimal economic dispatch of active and reactive powers as well as heat energy in microgrids, taking into account network constraints such as AC power flow limitations.
AIN SHAMS ENGINEERING JOURNAL
(2021)
Article
Energy & Fuels
Samaneh Pazouki, Ehsan Naderi, Arash Asrari
Summary: This paper focuses on cyberattacks on energy hubs integrated with distributed energy resources and proposes remedial actions to mitigate the economic impact. Changing the status of energy hub components can help reduce the cost. Simulation results demonstrate that different measures against cyberattacks can effectively mitigate the associated economic consequences.
Article
Thermodynamics
Haiquan Yu, Jianxin Zhou, Fengqi Si, Lars O. Nord
Summary: Combined heat and power dynamic economic dispatch (CHPDED) is a key technology for efficient operation of natural gas combined cycle (NGCC) plants. This study proposes an advanced loads variation capacity model integrated into the CHPDED model, improving feasibility of dispatched demands in NGCC plant operations. Case studies using field operational data demonstrate the effectiveness of the proposed model.
Article
Green & Sustainable Science & Technology
Amir Reza Razmi, Hasan Heydari Afshar, Ali Pourahmadiyan, M. Torabi
Summary: A novel combined heat and power system based on biomass gasification, CAES, and gas turbine power plant is introduced and analyzed in the research, showing that municipal solid waste offers the highest total efficiency, while wood chips provide the highest power plant efficiency.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Engineering, Electrical & Electronic
Tianqiao Zhao, Bo Chen, Shijia Zhao, Jianhui Wang, Xiaonan Lu
IEEE TRANSACTIONS ON POWER SYSTEMS
(2020)
Article
Engineering, Electrical & Electronic
Bo Zou, Cheng Wang, Ying Zhou, Jianhui Wang, Chen Chen, Fushuan Wen
IET GENERATION TRANSMISSION & DISTRIBUTION
(2020)
Article
Engineering, Electrical & Electronic
Ying Zhang, Jianhui Wang, Mohammad E. Khodayar
IEEE TRANSACTIONS ON SMART GRID
(2020)
Article
Engineering, Electrical & Electronic
Xinan Wang, Yishen Wang, Di Shi, Jianhui Wang, Zhiwei Wang
IEEE TRANSACTIONS ON SMART GRID
(2020)
Article
Automation & Control Systems
Mahdi Khodayar, Jianhui Wang
Summary: This study proposes a new deep generative architecture (DGA) based on the LSTM network for probabilistic time-varying parameter identification. By learning the continuous probability density function, composite load modeling is achieved, showing accurate estimation of uncertain power resources.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Review
Green & Sustainable Science & Technology
S. Yin, J. Wang, Z. Li, X. Fang
Summary: With the increasing penetration of solar energy in the energy systems, the correct modeling of solar generation in the market and addressing uncertainty-based operational problems have become crucial issues. Unlike other renewable resources, solar power can be easily integrated in a distributed manner on the demand side with potential for significant future expansion. The electricity markets are transitioning from a deterministic and centralized framework to a stochastic and decentralized one, driven by the development of deregulated power markets.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Automation & Control Systems
Liudong Chen, Nian Liu, Chenchen Li, Jianhui Wang
Summary: This interdisciplinary P2P energy sharing framework proposed in this article considers both technical and sociological aspects, based on prospect theory and stochastic game theory. Under this framework, producers and consumers participate with different roles and strategies, addressing problems arising from social attributes.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Engineering, Electrical & Electronic
Jiayong Li, Mohammad E. Khodayar, Jianhui Wang, Bin Zhou
Summary: This paper presents a data-driven distributionally robust co-optimization model for P2P energy trading and network operation of MGs. The model considers various operational constraints and uncertainties from load consumption and RG, utilizing emerging technologies to address them effectively.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Green & Sustainable Science & Technology
Shengfei Yin, Jianhui Wang, Harsha Gangammanavar
Summary: This paper presents a three-stage unit commitment model for transmission and distribution coordination in the presence of renewable generation and demand uncertainties. The model utilizes a multi-stage stochastic programming approach to handle uncertainties and adopts a convexified AC branch flow formulation in the distribution system. A generalized nested L-shaped algorithm is devised for efficient solving of the proposed framework, with numerical experiments confirming its efficacy on multi-scale test systems.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2021)
Proceedings Paper
Computer Science, Theory & Methods
Mahdi Khodayar, Jianhui Wang
Summary: This paper proposes a deep GDL algorithm for learning the topological patterns of power grids by capturing the probability density functions of nodes and edges. Simulation results demonstrate the significant accuracy of the created synthetic power grids in terms of topological metrics and power flow measurements.
2021 INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES (SEST)
(2021)
Proceedings Paper
Energy & Fuels
Shengfei Yin, Jianhui Wang, Yanling Lin, Xin Fang, Jin Tan, Haoyu Yuan
Summary: With renewable resources increasingly entering power systems, energy storage systems (ESSs) have become essential for providing energy arbitrage and ancillary services. This paper proposes a general framework in the current electricity market environment to model the participation of multi-type ESSs and evaluate their performance, demonstrating the excellent potential of ESSs in providing ancillary services for the bulk power system.
2020 52ND NORTH AMERICAN POWER SYMPOSIUM (NAPS)
(2021)
Proceedings Paper
Energy & Fuels
Xin Fang, Jin Tan, Haoyu Yuan, Shengfei Yin, Jianhui Wang
Summary: With the increasing penetration of photovoltaic generation, electric power systems require more flexible resources and renewable generation, including PV, to provide more flexible ancillary services to improve system reliability and increase PV profitability.
2020 52ND NORTH AMERICAN POWER SYMPOSIUM (NAPS)
(2021)
Article
Engineering, Electrical & Electronic
Mingjian Cui, Jianhui Wang
Summary: This paper proposed a new defense mechanism called DH-MTD to hide the reactance of each phase in unbalanced AC distribution system and ensure system voltage stability. By using data-driven methods to combat cyberattacks, the effectiveness of DH-MTD was demonstrated in an unbalanced IEEE 123-bus distribution system.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Review
Energy & Fuels
Mandi Khodayar, Guangyi Liu, Jianhui Wang, Mohammad E. Khodayar
Summary: With the rapid growth of power systems measurements, utilizing deep learning algorithms for power systems data processing has become a research trend. The study reveals the theoretical advantages of deep learning in power systems research and discusses solutions under various problem settings.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Zhe Chen, Zhengshuo Li, Chuangxin Guo, Jianhui Wang, Yi Ding
Summary: In this paper, a coordinated robust reserve scheduling model for the coupled transmission and distribution networks is proposed, using a fully distributed ADMM framework to solve the problem. A two-layer iterative process is presented to enhance the convergence, improving cost-effectiveness and reliability effectively.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)