Article
Thermodynamics
Yue Xiang, Lili Zhou, Yuan Huang, Xin Zhang, Youbo Liu, Junyong Liu
Summary: A multi-period reactive coordinated optimal operation model for distributed wind generation (DWG) in the distribution network is established in this study. By considering the active-reactive power coordination characteristics of wind turbines and integrating the operating strategy of reactive power resources, the efficiency of power flow calculation for DWG penetrated distribution network is significantly improved. The simulation results show that the integration of reactive power resources can further promote the consumption of DWG and improve the operating profits of the distribution network.
Article
Computer Science, Information Systems
Yasaman Niazi, Mohamad Esmail Hamedani Golshan, Hassan Haes Alhelou
Summary: This paper proposes a new planning strategy to determine the optimal placement and rating of DG units and RPS, optimizing system energy losses, voltage stability margin, self-adequacy of microgrids, and exchange of active and reactive powers between the distribution system and upstream network. The strategy overcomes the challenge of intermittency of renewable production.
Article
Engineering, Electrical & Electronic
Rabih A. Jabr
Summary: This paper proposes an optimization method for inverter segregated linear decision rules, utilizing piecewise linear continuous curves to directly satisfy inverter reactive power capability and capture the correlation in solar power variability. Various linear programming formulations for optimization are presented, along with demonstrated schemes on both meshed and radial networks validated via Monte-Carlo simulation.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Energy & Fuels
Chunyi Wang, Lei Zhang, Kai Zhang, Sijin Song, Yutian Liu
Summary: This paper proposes a double layer nested model for distributed energy storage (DES) planning to solve the voltage quality problems caused by the mismatch between residential load and distributed photovoltaic (DPV) output. The model considers the optimization of voltage quality evaluation results and the cost performance ratio of voltage quality improvement. The modified particle swarm optimization algorithm is used to solve the model.
Article
Engineering, Electrical & Electronic
Manas Ranjan Mishra, Priyatosh Mahish, Sukumar Mishra
Summary: The gradual increase in the installation of solar photovoltaic inverters (SPVIs) at the low voltage network leads to over-voltage issues at the SPVI-connected point-of-common-couplings (PCCs). This paper proposes an irradiance-driven adaptive PQV droop control technique for the SPVIs to improve voltage regulation in an active distribution system (ADS). A Two-Bit-Priority (TBP) algorithm is also introduced for distributed coordination among the SPVIs. The results show that the proposed method outperforms the IEEE-1547-2020 recommended droop characteristic.
IEEE TRANSACTIONS ON POWER DELIVERY
(2023)
Article
Computer Science, Software Engineering
Lin Chen, Xianzhong Yi, Yuanhua Zhou, Lijun Liu, Hangming Liu, Saeid Razmjooy
Summary: A new method of controlling reactive power using photovoltaic and hydrogen is proposed. The system combines photovoltaic, hydrogen, fuel cell, and distributed generation to improve power quality. The main contribution is the use of an improved coyote optimization algorithm for optimal placement of distributed generation.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2023)
Article
Computer Science, Information Systems
Akhilesh Kumar Barnwal, Lokesh Kumar Yadav, Mitresh Kumar Verma
Summary: This paper proposes a novel approach to enhance voltage stability and minimize power loss in radial distribution networks, while maintaining a good voltage profile. This is achieved through optimally placed distributed generation, network reconfiguration, and voltage control of PQV bus using a variable reactive power source. The multi-objective function considers maximum loadability enhancement and network loss minimization. Grey wolf optimization technique is used to optimize the proposed function in the presence of PQV and P buses. Case studies on IEEE 33-bus radial distribution system demonstrate significant enhancement in voltage stability margin under optimal placement of distributed generations and network reconfiguration.
Article
Green & Sustainable Science & Technology
Qiang Lin, Li-Juan Liu, Ming Yuan, Lei-Jiao Ge, Yi-Han Wang, Ming Zhang
Summary: Two DPPG modes were established in the study, and it was observed that neither of them is an absolute profit dominant strategy for an MEDPPG. The research results can help potential investors better choose the DPPG operating mode and provide policy suggestions for their investment strategy.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Electrical & Electronic
Xiaoyuan Xu, Yunhong Li, Zheng Yan, Hongyan Ma, Mohammad Shahidehpour
Summary: This paper proposes a hierarchical distribution network voltage control method considering active and reactive power coordination of PV units in both central and local control stages. The method defines the admissible range (AR) of PV power via centralized optimization and uses the affine decision rule (ADR) to control the reactive power. A two-stage optimization problem is proposed and transformed into tractable formulas. The results show that the hierarchical inverter control with AR can reduce PV power curtailment and ensure nodal voltages within limits.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Engineering, Electrical & Electronic
Mariana Altoe Mendes, Murillo Cobe Vargas, Domingos Savio Lyrio Simonetti, Oureste Elias Batista
Summary: This study evaluates the impact of different combinations of distributed generation on power systems, considering adjustments to overcurrent protection devices. The results indicate that adjusting overcurrent protection devices is crucial to ensuring the sensitivity and correct performance of the devices.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Thermodynamics
Giovanni Brumana, Giuseppe Franchini, Elisa Ghirardi, Antonio Perdichizzi
Summary: This paper presents a techno-economic optimization procedure for selecting the best energy mix of renewable energy sources to meet the power demands of an isolated community. The case study in Saudi Arabia demonstrates that implementing a complete renewable system can provide clean energy without a huge cost burden.
Article
Engineering, Electrical & Electronic
Xubin Liu, Xinyu Chen, Canbing Li, Mohammad Shahidehpour, Kai Sun, Yijia Cao, Chen Chen, Bin Zhou
Summary: This paper proposes a multi-stage voltage support optimization method to stabilize voltage, current, and power, and provide flexible power delivery capacity for microgrids with multiple distributed generations. The method includes voltage stage, current stage, and power stage, which are validated through several test cases to demonstrate its effectiveness.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Green & Sustainable Science & Technology
Zhongguan Wang, Yizhen Wang, Guowei Liu, Yuming Zhao, Qing Cheng, Chengshan Wang
Summary: Solar power generation is experiencing a distributed development trend, but high-penetration PV clusters face voltage risks and uncertainty. By employing a distributed voltage control method, PV inverters can coordinate in a decentralized manner to optimize voltage profiles in clusters.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2021)
Article
Green & Sustainable Science & Technology
Toni Cantero Gubert, Alba Colet, Lluc Canals Casals, Cristina Corchero, Jose Luis Dominguez-Garcia, Amelia Alvarez de Sotomayor, William Martin, Yves Stauffer, Pierre-Jean Alet
Summary: A centralized algorithm provides local volt-var control parameters to each PV inverter based on electrical grid characteristics. The algorithm successfully adapted its parameters based on grid topology and PV inverter characteristics, achieving a voltage reduction of up to 25% of the allowed voltage deviation. The parametrization of the electrical grid was done using local power meter data and a voltage sensitivity matrix.
Article
Thermodynamics
Shiwei Yu, Ruilian Han, Junjie Zhang
Summary: The study re-estimated the potential of centralized large-scale and distributed small-scale photovoltaic power stations in 449 prefecture-level cities in China using geographic information system, Google Earth Engine, Baidu map data, and related geographic information data. The results showed that China has a total area of 583 thousand km(2) suitable for solar panel installation, with a technical potential of approximately 55.1 TW. The findings provide decision support for national and regional planning in photovoltaic power generation.
Article
Engineering, Electrical & Electronic
Rongheng Lin, Zezhou Ye
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING
(2018)
Article
Automation & Control Systems
Zigui Jiang, Rongheng Lin, Fangchun Yang, Budan Wu
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2018)
Article
Energy & Fuels
Rongheng Lin, Zezhou Ye, Yingying Zhao
Article
Energy & Fuels
Rongheng Lin, Fangchun Yang, Mingyuan Gao, Budan Wu, Yingying Zhao
Article
Chemistry, Physical
Rongheng Lin, Zezhou Ye, Ziyan Guo, Budan Wu
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2020)
Article
Chemistry, Physical
Rong-Heng Lin, Ze-Zhou Ye, Bu-Dan Wu
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2020)
Article
Chemistry, Physical
Rongheng Lin, Qiyu Fang, Budan Wu
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2020)
Article
Chemistry, Physical
Rong-Heng Lin, Ying-Ying Zhao, Bu-Dan Wu
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2020)
Article
Computer Science, Information Systems
Qimin Jin, Rongheng Lin, Fangchun Yang
IEEE SYSTEMS JOURNAL
(2020)
Article
Chemistry, Analytical
Zigui Jiang, Rongheng Lin, Fangchun Yang
Summary: The IoT-enabled smart grid system utilizes smart meter data to record energy consumption behaviors of users, and proposes an incremental clustering algorithm ICluster-PS with probability strategy to achieve accurate consumer segmentation and effective demand response. Experimental results show that ICluster-PS outperforms other algorithms in updating load patterns and handling new data.
Article
Automation & Control Systems
Qimin Jin, Rongheng Lin, Fangchun Yang
Summary: This paper introduces a multi-judge generative adversarial network method based on different random features to enhance the quality of generative result and increase the training speed of GAN by optimizing the internal structure. Experiments show that the proposed model outperforms the GMAN model and Base model.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Energy & Fuels
Wanxing Sheng, Keyan Liu, Dongli Jia, Shuo Chen, Rongheng Lin
Summary: This paper proposes a neural network model called LST-TCN for short-term load forecasting. The model incorporates 1D convolution network, causal convolution, and void convolution structure, with a residual connection layer in the convolution layer. It utilizes two networks to extract features from long-term data and periodic short-term data, and then fuses the features for final predictions. LST-TCN outperforms LSTM, TCN, and other algorithms in terms of generalization effects and prediction errors.
Article
Mathematics
Xiaoyu Zhang, Rongheng Lin, Yuchang Bo, Fangchun Yang
Summary: This paper proposes a deep reinforcement learning model that supports multiple bidding systems, which can compete with players using different bidding systems and exchange hand information normally.
Article
Energy & Fuels
Zheyu He, Rongheng Lin, Budan Wu, Xin Zhao, Hua Zou
Summary: The construction of smart grids has transformed the power grid pattern and power supply structure. This paper proposes a Pre-Attention-CNN-GRU model (PreAttCG) that combines CNN and GRU, integrating the attention mechanism. The model achieves load forecasting by accepting historical load data and several other factors as input, showing better performance compared to LSTM models.
