Yubin Jia , Tengjun Zuo , Yaran Li , Wenjun Bi , Lei Xue , Chaojie Li
{"title":"Finite-time economic model predictive control for optimal load dispatch and frequency regulation in interconnected power systems","authors":"Yubin Jia , Tengjun Zuo , Yaran Li , Wenjun Bi , Lei Xue , Chaojie Li","doi":"10.1016/j.gloei.2023.06.009","DOIUrl":"10.1016/j.gloei.2023.06.009","url":null,"abstract":"<div><p>This paper presents a finite-time economic model predictive control (MPC) algorithm that can be used for frequency regulation and optimal load dispatch in multi-area power systems. Economic MPC can be used in a power system to ensure frequency stability, real-time economic optimization, control of the system and optimal load dispatch from it. A generalized terminal penalty term was used, and the finite-time convergence of the system was guaranteed. The effectiveness of the proposed model predictive control algorithm was verified by simulating a power system, which had two areas connected by an AC tie line. The simulation results demonstrated the effectiveness of the algorithm.</p></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"6 3","pages":"Pages 355-362"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41251685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fan Sun , Yaojia Huo , Lei Fu , Huilan Liu , Xi Wang , Yiming Ma
{"title":"Load-forecasting method for IES based on LSTM and dynamic similar days with multi-features","authors":"Fan Sun , Yaojia Huo , Lei Fu , Huilan Liu , Xi Wang , Yiming Ma","doi":"10.1016/j.gloei.2023.06.003","DOIUrl":"10.1016/j.gloei.2023.06.003","url":null,"abstract":"<div><p>To fully exploit the rich characteristic variation laws of an integrated energy system (IES) and further improve the short-term load-forecasting accuracy, a load-forecasting method is proposed for an IES based on LSTM and dynamic similar days with multi-features. Feature expansion was performed to construct a comprehensive load day covering the load and meteorological information with coarse and fine time granularity, far and near time periods. The Gaussian mixture model (GMM) was used to divide the scene of the comprehensive load day, and gray correlation analysis was used to match the scene with the coarse time granularity characteristics of the day to be forecasted. Five typical days with the highest correlation with the day to be predicted in the scene were selected to construct a “dynamic similar day” by weighting. The key features of adjacent days and dynamic similar days were used to forecast multi-loads with fine time granularity using LSTM. Comparing the static features as input and the selection method of similar days based on non-extended single features, the effectiveness of the proposed prediction method was verified.</p></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"6 3","pages":"Pages 285-296"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43791987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiang Tao , Hua Ting , Xiao Hao , Fu Linbo , Pei Wei , Ma Tengfei
{"title":"P2P transaction method for distributed energy prosumers based on reputation value","authors":"Jiang Tao , Hua Ting , Xiao Hao , Fu Linbo , Pei Wei , Ma Tengfei","doi":"10.1016/j.gloei.2023.06.005","DOIUrl":"10.1016/j.gloei.2023.06.005","url":null,"abstract":"<div><p>Adding a reputation incentive system to peer-to-peer (P2P) energy transactions can encourage prosumers to regulate their trading behavior, which is important for ensuring the efficiency and reliability of P2P transactions. This study proposed a P2P transaction mechanism and game optimization model for prosumers involved in distributed energy sources considering reputation-value incentives. First, the deviation of P2P transactions and the non-consumption rate of distributed renewable energy in P2P transactions were established as indicators to quantify the influencing factors of the reputation value, and a reputation incentive model of P2P transactions for prosumers was constructed. Then, the penalty coefficient was applied to the cost function of the prosumers, and a non-cooperative game model of P2P transactions based on the complete information of multi-prosumers was established. Furthermore, the Nash equilibrium problem was transformed into a nonlinear optimization problem by constructing the modified optimal reaction function, and the Nash equilibrium solution of the game was obtained via a relaxation algorithm. Finally, the modified IEEE 33-node test system based on electricity market P2P and an IEEE 123-node test system were used to analyze and verify the cost and P2P participation of prosumers considering the reputation value. The results show that the addition of the reputation incentive system can encourage prosumers to standardize their interactive transaction behavior and actively participate in P2P transactions. It can also improve the operation efficiency of the power grid and promote the perfection of the P2P transaction mechanism.</p></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"6 3","pages":"Pages 308-323"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45310296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Accurate time synchronization of power reference station based on BD3 system","authors":"Ting Zou, Yuchen Huang, Zhanqiang Cheng, Jinshen Liu, Hongwei Guo","doi":"10.1016/j.gloei.2023.06.007","DOIUrl":"10.1016/j.gloei.2023.06.007","url":null,"abstract":"<div><p>A Beidou 3 (BD3) system-based power reference station can provide high-precision time synchronization for power distribution systems by sending synchronization data packets to devices in a multi-hop routing fashion. However, optimizing route selection to reduce both time synchronization error and delay is a challenging problem. In this paper, we establish a software-defined network-enabled power reference station time synchronization framework based on BD3. Then, we formulate the joint problem to minimize cumulative synchronization error and delay through multi-hop route selection optimization. A back propagation (BP) neural network-improved intelligent time synchronization route selection algorithm named BP-RS is proposed to learn the optimal route selection, which uses a BP neural network to dynamically adjust the exploration factor to achieve rapid convergence. Simulation results show the superior performance of BP-RS in synchronization delay, synchronization error, and adaptability with changing routing topologies.</p></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"6 3","pages":"Pages 334-342"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46655513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Binbin Zhang, Mengxin Jia, Chaobo Chen, Kun Wang, Jichao Li
{"title":"Wind farm active power dispatching algorithm based on grey incidence","authors":"Binbin Zhang, Mengxin Jia, Chaobo Chen, Kun Wang, Jichao Li","doi":"10.1016/j.gloei.2023.04.005","DOIUrl":"10.1016/j.gloei.2023.04.005","url":null,"abstract":"<div><p>This study proposes a wind farm active power dispatching (WFAPD) algorithm based on the grey incidence method, which does not rely on an accurate mathematical model of wind turbines. Based on the wind turbine start-stop data at different wind speeds, the weighting coefficients, which are the participation degrees of a variable speed system and a variable pitch system in power regulation, are obtained using the grey incidence method. The incidence coefficient curve is fitted by the B-spline function at a full range of wind speeds, and the power regulation capacity of all wind turbines is obtained. Finally, the WFAPD algorithm, which is based on the regulating capacity of each wind turbine, is compared with the wind speed weighting power dispatching (WSWPD) algorithm in MATLAB. The simulation results show that the active power fluctuation of the wind farm is smaller, the rotating speed of wind turbines is smoother, and the fatigue load of high- speed turbines is effectively reduced.</p></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"6 2","pages":"Pages 175-183"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45283389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiangyu Chen , Guang Tian , Yan Huang , Yang Yang , Jialin Li , Yuxi Wu , Yuanying Chi
{"title":"New power system development path mechanism design","authors":"Xiangyu Chen , Guang Tian , Yan Huang , Yang Yang , Jialin Li , Yuxi Wu , Yuanying Chi","doi":"10.1016/j.gloei.2023.04.004","DOIUrl":"10.1016/j.gloei.2023.04.004","url":null,"abstract":"<div><p>Carrying out green energy transformation, implementing clean energy power replacement and supply, and developing a new power system are some primary driving forces needed to fulfill China’s carbon-peak and carbon-neutral strategic goals. The construction of new power systems in China’s provinces and cities is developing rapidly, and the lack of a typical model promotes the application. The new power system path design should be based on the actual development of the power grid in different regions, energy use characteristics, and other actual needs to carry out the differentiated path design. In this context, this study analyzes the characteristics of the new domestic power system based on the policy background of the new domestic power system, constructs a new model for power system development stage identification, and proposes the overall design of the new power system development path from the power supply, transmission and distribution, and load sides. It also uses the Hebei South Network as an example to explore the development stage of the Hebei South Grid based on actual development needs. Finally, this study designs a novel power system development path for the entire supply and demand chain for the Hebei South Grid to propose ideas for constructing a new power system in China and to help green energy transformation.</p></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"6 2","pages":"Pages 166-174"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45654206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lili Hao , Wangyu Hu , Chuan Wang , Guangzong Wang , Yue Sun , Jun Chen , Xueping Pan
{"title":"Coordinated restoration optimization of power-gas integrated energy system with mobile emergency sources","authors":"Lili Hao , Wangyu Hu , Chuan Wang , Guangzong Wang , Yue Sun , Jun Chen , Xueping Pan","doi":"10.1016/j.gloei.2023.04.008","DOIUrl":"10.1016/j.gloei.2023.04.008","url":null,"abstract":"<div><p>In an integrated energy system (IES) composed of multiple subsystems, energy coupling causes an energy supply blockage or shutdown in one subsystem, thereby affecting the energy flow distribution optimization of other subsystems. The energy supply should be globally optimized during the IES energy supply restoration process to produce the highest restoration net income. Mobile emergency sources can be quickly and flexibly connected to supply energy after an energy outage to ensure a reliable supply to the system, which adds complexity to the decision. This study focuses on a power- gas IES with mobile emergency sources and analyzes the coupling relationship between the gas distribution system and the power distribution system in terms of sources, networks, and loads, and the influence of mobile emergency source transportation. The influence of the transient process caused by the restoration operation of the gas distribution system on the power distribution system is also discussed. An optimization model for power-gas IES restoration was established with the objective of maximizing the net income. The coordinated restoration optimization decision-making process was also built to realize the decoupling iteration of the power-gas IES, including system status recognition, mobile emergency source dispatching optimization, gas-to-power gas flow optimization, and parallel intra-partition restoration scheme optimization for both the power and gas distribution systems. A simulation test power-gas IES consisting of an 81-node medium-voltage power distribution network, an 89-node medium-pressure gas distribution network, and four mobile emergency sources was constructed. The simulation analysis verified the efficiency of the proposed coordinated restoration optimization method.</p></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"6 2","pages":"Pages 205-227"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49166274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hybrid model based on K-means++ algorithm, optimal similar day approach, and long short-term memory neural network for short-term photovoltaic power prediction","authors":"Ruxue Bai, Yuetao Shi, Meng Yue, Xiaonan Du","doi":"10.1016/j.gloei.2023.04.006","DOIUrl":"10.1016/j.gloei.2023.04.006","url":null,"abstract":"<div><p>Photovoltaic (PV) power generation is characterized by randomness and intermittency due to weather changes. Consequently, large-scale PV power connections to the grid can threaten the stable operation of the power system. An effective method to resolve this problem is to accurately predict PV power. In this study, an innovative short-term hybrid prediction model (i.e., HKSL) of PV power is established. The model combines K-means++, optimal similar day approach, and long short-term memory (LSTM) network. Historical power data and meteorological factors are utilized. This model searches for the best similar day based on the results of classifying weather types. Then, the data of similar day are inputted into the LSTM network to predict PV power. The validity of the hybrid model is verified based on the datasets from a PV power station in Shandong Province, China. Four evaluation indices, mean absolute error, root mean square error (RMSE), normalized RMSE, and mean absolute deviation, are employed to assess the performance of the HKSL model. The RMSE of the proposed model compared with those of Elman, LSTM, HSE (hybrid model combining similar day approach and Elman), HSL (hybrid model combining similar day approach and LSTM), and HKSE (hybrid model combining K-means++, similar day approach, and LSTM) decreases by 66.73%, 70.22%, 65.59%, 70.51%, and 18.40%, respectively. This proves the reliability and excellent performance of the proposed hybrid model in predicting power.</p></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"6 2","pages":"Pages 184-196"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47021308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Le Liu , Xueyu Chen , Dexin Li , Chang Liu , Dunnan Liu , Genzhu Li
{"title":"Evaluation method for assessing the auxiliary service transaction mechanism in regional power markets","authors":"Le Liu , Xueyu Chen , Dexin Li , Chang Liu , Dunnan Liu , Genzhu Li","doi":"10.1016/j.gloei.2023.04.010","DOIUrl":"10.1016/j.gloei.2023.04.010","url":null,"abstract":"<div><p>Accurate and seamless auxiliary services in the power market can guarantee smooth and continuous power system operation. China’s new round of power system reform has entered a critical period, and reform implementation requires comprehensive improvements in the maturity of the supporting auxiliary service market. This study reviews the development status and evolution path of the European unified power market and the US regional power market, provides experience for the development of China’s regional power market, then identifies the key influencing factors of auxiliary service trading mechanism design in regional power markets. To analyze the rationality of the auxiliary service trading evaluation index, this paper established an evaluation model for assessing regional power markets. Using combined weight optimization, the gray correlation TOPSIS method was applied to comprehensively evaluate auxiliary service trading in the regional power market. Finally, the application of the proposed evaluation method was briefly analyzed to examine four regional power markets in China and evaluate the effectiveness of current market construction in different regions and provide suggestions for future market construction.</p></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"6 2","pages":"Pages 238-252"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46604749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Peng Yang , Qian Li , Junyu Zhao , Juanjuan Lu , Yunfei Xu
{"title":"Dynamic phasor-based hybrid simulation for multi-inverter grid-connected system","authors":"Peng Yang , Qian Li , Junyu Zhao , Juanjuan Lu , Yunfei Xu","doi":"10.1016/j.gloei.2023.04.007","DOIUrl":"10.1016/j.gloei.2023.04.007","url":null,"abstract":"<div><p>To realize the efficient transient simulation of a grid-connected power generation system based on multiple inverters, this paper proposes a hybrid simulation method integrating the models of electromagnetic transient and dynamic phasors. Based on a demonstration of the concepts and properties of dynamic phasors, the models of single-phase and three-phase inverters described by dynamic phasors are established first. Considering the numerical compatibility problem between dynamic phasors and instantaneous values, an interface scheme between dynamic phasors and instantaneous values is designed, and the efficiency and precision differences of various transformation methods are compared in detail. Finally, by utilizing MATLAB/Simulink, a hybrid simulation platform of a multi-inverter grid-connected system is built, and the efficiency and accuracy of the hybrid simulation are validated via comparison with the full electromagnetic transient simulation.</p></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"6 2","pages":"Pages 197-204"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47620197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}