Article
Engineering, Multidisciplinary
Kexing Lai, Lin Zhang
Summary: The article proposes the implementation of vehicle-to-grid technology and integration of energy storage systems in military-based microgrids to improve efficiency and reduce fuel costs. A three-stage planning procedure is introduced to determine optimal locations and capacities through stochastic programming, as well as optimizing the operation of the microgrids.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2021)
Article
Energy & Fuels
Rahul Gupta, Fabrizio Sossan
Summary: This research proposes an optimal method for planning energy storage systems (ESSs) in power distribution grids considering the option of curtailing photo-voltaic (PV) generation. The proposed method evaluates whether curtailing PV generation might be more cost-effective than installing ESSs and considers the constraints of the power grid to keep the problem formulation tractable. The planning problem minimizes the net investment costs of the ESSs and the imported and exported electricity costs over a 20-year planning horizon, presenting results for different levels of PV generation capacity.
Article
Engineering, Electrical & Electronic
Alvaro Avendano Pena, David Romero-Quete, Camilo A. Cortes
Summary: This paper presents a mixed-integer linear programming formulation for sizing and siting of battery energy storage systems (BESSs). Simulation results show that the installation of BESSs can reduce operation costs and renewable energy curtailment.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2022)
Article
Engineering, Electrical & Electronic
Phanindra Kumar Ganivada, Tarek H. M. El-Fouly, Hatem H. Zeineldin, Ahmed Al-Durra
Summary: This paper proposes an optimization framework for the sizing and siting of static and mobile energy storage systems in order to satisfy operational constraints in distribution systems with mobile energy storage systems and maximize the profit of distribution system operators. By incorporating static energy storage systems, significant reductions in power variability management, peak demand, reverse power flow, and energy loss are achieved.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Green & Sustainable Science & Technology
Zhongjie Guo, Wei Wei, Laijun Chen, Mohammad Shahidehpour, Shengwei Mei
Summary: This paper quantifies the value of ESU in unit commitment with renewable generation and optimizes storage sizing, providing useful reference for power system operation and planning. It proposes an optimal sizing model that shows advantages in efficient utilization of investment in terms of payback time and rate of return.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2021)
Article
Computer Science, Artificial Intelligence
Manisha Malik, P. R. Sharma
Summary: This paper proposes an approach to appropriately place and size a battery energy storage system in a distribution network with hybrid energy sources to mitigate the impact of HES variations on power generation reliability and quality. By considering the daily cost incurred by the distribution network due to voltage deviation, power losses, and peak demands, the ideal location and size of the BESS are determined.
Article
Engineering, Multidisciplinary
Kexing Lai, Mahesh S. Illindala
Summary: Research on ship electrification is focusing on planning cost effective and resilient shipboard power systems by integrating energy storage systems, which can improve fuel economy and provide emergency power. This study proposes a planning strategy for sizing and siting a distributed cloud energy storage system in order to enhance the resilience of the shipboard power system.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2021)
Article
Energy & Fuels
Regina Lamedica, Alessandro Ruvio, Enrico Tanzi, Laura Palagi
Summary: The paper presents a methodology for determining the optimal size and position of an energy storage system (ESS) in a railway line using supercapacitors and considering economic benefits. A bi-objective nonlinear mathematical model is used to solve the problem of ESS siting and sizing, with the constraint of siting at electrical substations. The Pareto frontiers are obtained using a fully enumerative algorithm, and economic analysis is conducted based on the purchase price of energy. A real Italian underground railway line is simulated to estimate the power flow between trains, considering commercially available energy storage systems. A good Pareto solution shows an energy saving of 1730 kWh, equivalent to approximately 11% profit each year for the case study.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Engineering, Electrical & Electronic
Xiaofei Wang, Fangxing Li, Qiwei Zhang, Qingxin Shi, Jinning Wang
Summary: This paper proposes a two-stage stochastic bilevel programming model for allocating battery energy storage systems (BESSs) optimally. The first stage determines the optimal siting and sizing of BESSs within a limited budget, while the second stage maximizes arbitrage revenue and clears the distribution market. The model is transformed into a tractable two-stage stochastic mixed-integer linear programming model using KKT optimality conditions, strong duality theory, and the big-M method. A statistics-based scenario extraction algorithm is used to generate typical operating scenarios, and scale reduction strategies for BESS candidate buses and inactive voltage constraints are proposed to reduce model size. Case studies on IEEE 33-bus and 123-bus systems validate the effectiveness of the model and the proposed scale reduction strategies.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Engineering, Electrical & Electronic
Kexing Lai, Xuan Wu, Antonio J. Conejo
Summary: This paper presents an optimization model for distribution system planners to determine the location and size of battery energy storage systems (BESSs) and isolation devices. The model aims to improve system reliability and generate revenue through energy arbitrage. It fills a research gap by addressing the optimal coordination of BESS and isolation device siting. The proposed model is successfully applied in a real-world case study.
IEEE TRANSACTIONS ON POWER DELIVERY
(2022)
Article
Green & Sustainable Science & Technology
Kai Gong, Xu Wang, Chuanwen Jiang, Mohammad Shahidehpour, Xiaolin Liu, Zean Zhu
Summary: This paper proposes a method for BESS sizing and siting in hybrid AC/DC microgrid systems, which uses stochastic programming and robust optimization to handle uncertainties. The solution enhances voltage and frequency regulation performance and achieves computational tractability for determining initial operation points. Case studies confirm the effectiveness of the proposed model and solution method.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2021)
Article
Engineering, Electrical & Electronic
Stefano Massucco, Paola Pongiglione, Federico Silvestro, Mario Paolone, Fabrizio Sossan
Summary: This paper presents a method to determine the optimal location, energy capacity, and power rating of distributed battery energy storage systems to achieve grid control and reserve provision. The model considers operational scenarios, deviations of loads and renewable generation, dispatchable power plants, and capital costs to derive storage deployment requirements for technical-economical optimum. Proof-of-concept simulations are provided with realistic costs and profiles from real measurements.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Yongji Cao, Qiuwei Wu, Hengxu Zhang, Changgang Li
Summary: This paper proposes a multi-objective optimal siting and sizing scheme for battery energy storage system (BESS) in power systems, to mitigate frequent and severe active power disturbances. The scheme adjusts output power flexibly to improve frequency stability and power flow distribution. The optimization model considers transient frequency regulation capability (TFRC), line capacity, life cycle cost, and generation cost. By using linear weighted method, big-M method, and multi-cut generalized Benders decomposition, the intractable optimization model is transformed into subproblems and a master problem iteratively solved to determine the location and capacity of the BESS. The proposed scheme shows superior performance in improving frequency nadir and alleviating post-disturbance line overload.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Abdullah Alamri, Abdulrahman AlKassem, Azeddine Draou
Summary: This paper presents a comprehensive model for designing optimal energy storage systems (ESS) in isolated microgrids. The proposed model is a mixed integer linear program (MILP) that considers seasonal varying generation (VG) demand, particularly for solar cell generators (SCG), and practical operation of conventional generation (CG) while meeting the required demand and reserve. The model aims to minimize the associated cost of CG and demonstrates that introducing ESS substantially reduces the operating cost of the system, with an average ESS sizing of approximately 3 MWh and 1.70 MW when considering Li-Ion technology and a 25% SCG penetration.
Article
Energy & Fuels
Muhammad Numan, Mansoor Asif, Muhammad Waseem Khan, Sarmad Majeed Malik, Fakhar Uddin Khilji
Summary: This paper presents a co-optimized model to evaluate the role of Dynamic Thermal Rating (DTR) in the optimal siting and sizing of energy storage system (ESS) units. The model utilizes DTR to address network congestion and ESS to store excess renewable energy. Results show that DTR can significantly reduce system costs and ESS size under different Renewable Portfolio Standards (RPS) constraints.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Automation & Control Systems
Yuanyuan Shi, Bolun Xu, Yushi Tan, Daniel Kirschen, Baosen Zhang
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2019)
Article
Engineering, Electrical & Electronic
Kexing Lai, Yishen Wang, Di Shi, Mahesh S. Illindala, Yanming Jin, Zhiwei Wang
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2019)
Article
Engineering, Electrical & Electronic
Mingjian Cui, Jianhui Wang, Yishen Wang, Ruisheng Diao, Di Shi
IEEE TRANSACTIONS ON POWER SYSTEMS
(2019)
Article
Engineering, Electrical & Electronic
Xinan Wang, Yishen Wang, Jianhui Wang, Di Shi
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2020)
Article
Engineering, Electrical & Electronic
You Lin, Yishen Wang, Jianhui Wang, Siqi Wang, Di Shi
IEEE TRANSACTIONS ON SMART GRID
(2020)
Article
Automation & Control Systems
Zejian Zhou, Yingmeng Xiang, Hao Xu, Yishen Wang, Di Shi, Zhiwei Wang
Summary: Non-intrusive load monitoring is crucial for smart grid management and a novel SPNN algorithm has been developed specifically for low-cost devices, which has faster training speed and guaranteed convergence compared to traditional methods, as well as less space complexity.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2021)
Article
Engineering, Electrical & Electronic
Xinan Wang, Yishen Wang, Di Shi, Jianhui Wang, Zhiwei Wang
IEEE TRANSACTIONS ON SMART GRID
(2020)
Article
Engineering, Electrical & Electronic
Yiwei Fu, Lei Chen, Zhe Yu, Yishen Wang, Di Shi
ELECTRIC POWER SYSTEMS RESEARCH
(2020)
Article
Engineering, Electrical & Electronic
Jian Xie, Zixiao Ma, Kaveh Dehghanpour, Zhaoyu Wang, Yishen Wang, Ruisheng Diao, Di Shi
Summary: The article proposes a novel ITQ method for load parameter identification, utilizing imitation learning and transfer learning to accelerate search rate and improve solution accuracy. The method demonstrates robust performance in test systems and can accurately estimate load parameters.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Engineering, Electrical & Electronic
You Lin, Yishen Wang, Jianhui Wang, Di Shi
Summary: Accurate load modeling is crucial for power system stability analysis. This paper addresses the challenges of establishing a comprehensive load model and performing accurate parameter estimation in composite load modeling. The combination of IM-VFD and ZIP+IM model is proposed to describe the dynamic characteristics of the system load. The use of time-varying probabilistic distributions and tensor decomposition reduces computational and storage costs for calculating load model parameters. Simulation results demonstrate the superior performance of the updated load model compared to the traditional ZIP+IM model.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Wenting Li, Ming Yi, Meng Wang, Yishen Wang, Di Shi, Zhiwei Wang
Summary: This paper addresses the issue of partial labels in energy disaggregation at substations, developing a model-free method that can separate individual loads, including behind-the-meter solar, in real-time from aggregated data. The approach learns load patterns from partially labeled data, reducing the annotation burden for operators and making it more applicable to practical scenarios.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Proceedings Paper
Energy & Fuels
Zhe Yu, Di Shi, Jin Li, Yishen Wang, Xiaoying Zhao, Zhiwei Wang, Jie Li
2020 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM)
(2020)
Proceedings Paper
Automation & Control Systems
Xinan Wang, Yishen Wang, Di Shi, Jianhui Wang, Siqi Wang, Ruisheng Diao, Zhiwei Wang
2020 IEEE 16TH INTERNATIONAL CONFERENCE ON CONTROL & AUTOMATION (ICCA)
(2020)
Article
Engineering, Electrical & Electronic
Zixiao Ma, Zhaoyu Wang, Yishen Wang, Ruisheng Diao, Di Shi
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2020)
Proceedings Paper
Energy & Fuels
Bolun Xu, Jinye Zhao, Tongxin Zheng, Eugene Litvinov, Daniel Kirschen
2018 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM)
(2018)
