IET Smart Grid最新文献_第8页

Predicting the magnitude and timing of peak electricity demand: A competition case study 预测高峰电力需求的规模和时间：竞争案例研究

IF 2.4

IET Smart Grid Pub Date : 2023-12-21 DOI: 10.1049/stg2.12152

Daniel L. Donaldson, Jethro Browell, Ciaran Gilbert

{"title":"Predicting the magnitude and timing of peak electricity demand: A competition case study","authors":"Daniel L. Donaldson, Jethro Browell, Ciaran Gilbert","doi":"10.1049/stg2.12152","DOIUrl":"10.1049/stg2.12152","url":null,"abstract":"As weather dependence of the electricity network grows, there is an increasing need to predict the time at which the network peak load will occur. Improving forecasts of peak hour can lead to more accurate scheduling of generation as well as the ability to use flexibility to improve system utilisation or defer capital investment. While there are extensive benchmark models for forecasting electricity demand, their efficacy at forecasting the time or shape of the peak remains to be seen. Global forecasting competitions provide a unique opportunity to compare multiple methodologies under common performance criteria and incentives. The methodology and results are detailed from the Big Data and Energy Analytics Laboratory Challenge 2022 used by the team ‘peaky-finders’ and investigates the suitability of using hourly methods to forecast daily peak magnitude, time, and shape. The resulting approach provides a reproducible ensemble benchmark against which to evaluate more complex methods. Results indicate that simple regression techniques can perform well and outperform more complicated methods during seasons with low hourly variability, however ensemble methods show higher accuracy overall. The results also highlight the significant impact of extreme weather on forecast accuracy, demonstrating the importance of forecasting processes that are resilient to extreme weather.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 4","pages":"473-484"},"PeriodicalIF":2.4,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12152","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138952664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced demand side management for solar-based isolated microgrid system: Load prioritisation and energy optimisation 加强太阳能隔离微电网系统的需求侧管理：负载优先和能源优化

IF 2.3

IET Smart Grid Pub Date : 2023-12-18 DOI: 10.1049/stg2.12151

Yaju Rajbhandari, Anup Marahatta, Ashish Shrestha, Anand Gachhadar, Anup Thapa, Francisco Gonzalez-Longatt, Petr Korba

{"title":"Enhanced demand side management for solar-based isolated microgrid system: Load prioritisation and energy optimisation","authors":"Yaju Rajbhandari, Anup Marahatta, Ashish Shrestha, Anand Gachhadar, Anup Thapa, Francisco Gonzalez-Longatt, Petr Korba","doi":"10.1049/stg2.12151","DOIUrl":"10.1049/stg2.12151","url":null,"abstract":"A novel control mechanism is presented for rural microgrids, standing out in the current literature with its advanced approach to load prioritisation and energy allocation. The system's main goal is to maximise energy supply to essential loads while effectively managing available resources. Distinct from traditional methods, this mechanism dynamically classifies loads according to user-defined priorities, adjustable based on the control system's computational power and complexity. A critical feature is the utilisation of the Particle Swarm Optimisation (PSO) algorithm to optimise demand side management (DSM). This innovative approach leverages day-ahead load and generation forecasts to ensure optimal energy distribution across load levels, maintaining continuous power supply to high-priority loads and reducing blackout risks due to generation and load fluctuations. Analyses under stochastic scenarios demonstrate the robustness of the control action, with percentile-based day-ahead forecasting allowing for adaptation to significant variations in renewable energy generation patterns. The implementation results are significant, maintaining 100% supply continuity to essential loads throughout the day, even with generation fluctuations up to -20%. This marks a considerable improvement in load satisfaction, increasing it from 83% to 96%. A significant advancement in microgrid control is contributed, providing an adaptive, user-centric approach that enhances load management and energy distribution, and facilitates more resilient and efficient microgrid systems in the face of highly variable renewable energy sources (RESs).","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 3","pages":"294-313"},"PeriodicalIF":2.3,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12151","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139176177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Variable DC voltage based reactive power enhancement scheme for MMC-STATCOM 基于可变直流电压的 MMC-STATCOM 无功功率增强方案

IF 2.4

IET Smart Grid Pub Date : 2023-12-09 DOI: 10.1049/stg2.12147

Lujie Yu, Guoyan Wang, Tong Wu, Jiebei Zhu, Campbell D. Booth

{"title":"Variable DC voltage based reactive power enhancement scheme for MMC-STATCOM","authors":"Lujie Yu, Guoyan Wang, Tong Wu, Jiebei Zhu, Campbell D. Booth","doi":"10.1049/stg2.12147","DOIUrl":"10.1049/stg2.12147","url":null,"abstract":"Constrained by the AC voltage amplitude modulated by a modular multilevel converter-based static synchronous compensator (MMC-STATCOM), its reactive power output may be subject to oscillations under grid contingencies, posing a threat to the grid stable operation. To solve this problem, this paper proposes a variable DC voltage (VDCV)-based reactive power enhancement scheme for MMC-STATCOM. In this scheme, a novel variable DC voltage control is designed, which can increase the DC voltage in a transient state for relaxing the constraint of the AC voltage amplitude modulated by MMC-STATCOM and improving its reactive power output capability (RPC). At the same time, to make full use of the improved RPC of MMC-STATCOM, a VDCV scheme also proposes an optimisation algorithm of its reactive current-AC voltage droop coefficient using the established reactive power model of the MMC-STATCOM. Based on small signal modelling and analysis, the key parameters of the proposed VDCV scheme are optimised. The performance and reactive power enhancement of the VDCV scheme is evaluated through the hardware-in-the-loop experiment under grid disturbances.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 4","pages":"427-441"},"PeriodicalIF":2.4,"publicationDate":"2023-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12147","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138585986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel snow conditions-compatible computational intelligence-based PV power forecasting approach for microgrids in snow prone regions 基于计算智能的新型雪况兼容光伏功率预测方法，适用于多雪地区的微电网

IF 2.3

IET Smart Grid Pub Date : 2023-12-08 DOI: 10.1049/stg2.12146

Behzad Hashemi, Shamsodin Taheri, Ana-Maria Cretu

{"title":"A novel snow conditions-compatible computational intelligence-based PV power forecasting approach for microgrids in snow prone regions","authors":"Behzad Hashemi, Shamsodin Taheri, Ana-Maria Cretu","doi":"10.1049/stg2.12146","DOIUrl":"10.1049/stg2.12146","url":null,"abstract":"Energy management in a renewable energy-based microgrid has a key role in improving energy utilisation and reducing the microgrid operation cost. The optimal energy management strategy can be significantly affected by the intermittency of renewable energies and also harsh weather conditions. In this study, a novel snow conditions-compatible computational intelligence-based short-term photovoltaic (PV) power forecasting (PVPF) approach is proposed that is independent of exogenous weather forecasts. The proposed approach consists of a snow cover detection stage, a snow cover forecasting stage, and a PV power forecasting stage. This approach is then validated for a model predictive control (MPC)-based energy management system (EMS) of a PV energy-based grid-connected microgrid located in a snow-prone area. The PVPF method together with a computational intelligence-based short-term load demand forecasting model constitutes the forecasting block of the EMS. The forecasting block generates day-ahead hourly forecasts based on the local measurements of the meteorological-electrical parameters and sends them to the optimisation block where a two-stage control method, corresponding to the tertiary and secondary control levels, is developed based on mixed-integer linear and quadratic programming. The developed EMS is applied to a test microgrid simulated in MATLAB/Simulink and compared with a heuristic control method. The results show that the proposed approach can reduce the overall operation cost of the microgrid by 8% (24$), 15% (166$), and 13% (235$) on sunny, cloudy, and snowy days under study, respectively, compared to the heuristic controller.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 3","pages":"221-240"},"PeriodicalIF":2.3,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12146","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138587208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel hybrid centralised decentralised framework for electric vehicles coordination 用于电动汽车协调的新型混合集中式分散框架

IF 2.3

IET Smart Grid Pub Date : 2023-12-04 DOI: 10.1049/stg2.12144

Praveen Verma, Pallab Dasgupta, Chandan Chakraborty

{"title":"A novel hybrid centralised decentralised framework for electric vehicles coordination","authors":"Praveen Verma, Pallab Dasgupta, Chandan Chakraborty","doi":"10.1049/stg2.12144","DOIUrl":"10.1049/stg2.12144","url":null,"abstract":"Hybrid Centralised-Decentralised Electric Vehicle (EV) coordination policy in the urgent charging scenario is presented. First, a robust and complex optimisation problem considering several key features affecting EV coordination is formulated. Then, a solution strategy for the formulated problem is proposed by decomposing the formulated problem into an EV coordination and simple optimisation problem. The decentralised rule-based EV coordination strategy works on the principle of direct load flattening and utilises practical EV aggregator-customer interaction, customer behaviour, and temporospatial shifting of the EVs to flatten the load duration curve at the charging station. Then, the centralised optimisation problem is solved to minimise the operation cost, decrease the power loss, and decrease congestion in the grid. A comparison between uncoordinated and coordinated charging in the case study conducted on the IEEE 24 bus system shows that the proposed approach reduces the average EV load by 1283.26 kW/min, average power loss by 2.465 kW/min, and operation cost by 61.99 $/min during the peak hours.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 1","pages":"89-100"},"PeriodicalIF":2.3,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12144","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138603889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Virtual-physical power flow method for cyber-physical power system contingency and vulnerability assessment 用于网络物理电力系统突发事件和脆弱性评估的虚拟物理电力流方法

IF 2.3

IET Smart Grid Pub Date : 2023-11-28 DOI: 10.1049/stg2.12143

Dongmeng Qiu, Rui Zhang, Zhuoran Zhou, Jinning Zhang, Xin Zhang

{"title":"Virtual-physical power flow method for cyber-physical power system contingency and vulnerability assessment","authors":"Dongmeng Qiu, Rui Zhang, Zhuoran Zhou, Jinning Zhang, Xin Zhang","doi":"10.1049/stg2.12143","DOIUrl":"10.1049/stg2.12143","url":null,"abstract":"Traditional power systems have evolved into cyber-physical power systems (CPPS) with the integration of information and communication technologies. CPPS can be considered as a typical hierarchical control system that can be divided into two parts: the power grid and the communication network. CPPS will face new vulnerabilities which can have network contingencies and cascading consequences. To address this challenge, a virtual-physical power flow (VPPF) method is proposed for the vulnerability assessment of CPPS. The proposed method contains dual power flows, one is to simulate a virtual power flow from decision-making units, and the other is to simulate a physical power flow. In addition, a novel hierarchical control model is proposed that includes four layers of CPPS: the physical layer, the secondary device layer, the regional control layer, and the national control layer. The model is based on IEEE test cases using data and structures provided by MATPOWER. Denial-of-service (DoS) and false data injection (FDI) are simulated as two major cyber-attacks in CPPS. A novel vulnerability index is proposed that consists of system voltage, network latency, and node betweenness as three key indicators. This is a comprehensive and adaptive index because it encompasses both cyber and physical system characteristics and can be applied to several types of cyber-attacks. The results of the vulnerability assessment are compared in national and regional control structures of CPPS to evaluate the vulnerability of cyber-physical nodes.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 1","pages":"13-27"},"PeriodicalIF":2.3,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12143","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139224137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Temporal false data injection attack and detection on cyber-physical power system based on deep reinforcement learning 基于深度强化学习的网络物理电力系统时态错误数据注入攻击与检测

IF 2.3

IET Smart Grid Pub Date : 2023-11-14 DOI: 10.1049/stg2.12141

Wei Fu, Yunqi Yan, Ying Chen, Zhisheng Wang, Danlong Zhu, Longxing Jin

{"title":"Temporal false data injection attack and detection on cyber-physical power system based on deep reinforcement learning","authors":"Wei Fu, Yunqi Yan, Ying Chen, Zhisheng Wang, Danlong Zhu, Longxing Jin","doi":"10.1049/stg2.12141","DOIUrl":"10.1049/stg2.12141","url":null,"abstract":"False data injection (FDI) attacks are serious threats to a cyber-physical power system (CPPS), which may be launched by a malicious software or virus accessing only the measurements from one substation. This study proposes a novel attack method named the temporal FDI (TFDI) attack. Namely, the virus makes decisions based on temporal observations of the CPPS, and the attack is driven by a deep Q network (DQN) algorithm. As DQN takes vectors of continuous variables as input states, the proposed method is free of the state space explosion problem, which helps the virus to learn the optimal attack strategy efficiently. Moreover, for adopting time-series measurements as quasi-dynamic observations, long short-term memory cells are employed as a layer of the Q network. The TFDI attack enables the virus to discern trends of load variations and enhance the attack’s effectiveness. Meanwhile, a countermeasure is also presented to detect the proposed FDI attack. Binary classifiers are trained for each bus to detect suspicious local measurements according to their deviations from system-state manifolds. When suspicious measurements are spotted frequently, the corresponding bus is believed to be under FDI attacks. Test cases validate the efficacy of the proposed FDI attack method as well as its countermeasure.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 1","pages":"78-88"},"PeriodicalIF":2.3,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12141","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134953806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Frequency control by BESS for smooth Island transition of a hydro-powered microgrid 利用 BESS 进行频率控制，实现水力发电微电网的平稳岛过渡

IF 2.3

IET Smart Grid Pub Date : 2023-11-10 DOI: 10.1049/stg2.12140

Ahmed Sunjaq, Peiyuan Chen, Massimo Bongiorno, Ritwik Majumder, Jan R. Svensson

引用次数: 0

Optimal planning of mobile energy storage in active distribution network 主动配电网中移动储能的优化规划

IF 2.3

IET Smart Grid Pub Date : 2023-11-05 DOI: 10.1049/stg2.12139

Shiwei Xia, Zizheng Wang, Xiang Gao, Wenpei Li

{"title":"Optimal planning of mobile energy storage in active distribution network","authors":"Shiwei Xia, Zizheng Wang, Xiang Gao, Wenpei Li","doi":"10.1049/stg2.12139","DOIUrl":"10.1049/stg2.12139","url":null,"abstract":"Mobile energy storage (MES) has the flexibility to temporally and spatially shift energy, and the optimal configuration of MES shall significantly improve the active distribution network (ADN) operation economy and renewables consumption. In this study, an optimal planning model of MES is established for ADN with a goal of minimising the annual cost of a distribution system. Firstly, the annual cost of a distribution system is set up with consideration of the investment cost and operation cost of MES, wind and PV curtailment cost, network loss cost and the peak-valley arbitrage income of MES. Then, the distributed photovoltaic and wind power access constraints, power conservation constraints of ADN, power generation constraint, system security constraint, energy coupling and displacement constraints of MES are further tailored to establish the MES planning model. Afterwards, the proposed model is solved by the second-order cone relaxation combined with the large M algorithm. Finally, the simulation results of the modified IEEE 33-bus distribution network validate the effectiveness of the proposed model.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 1","pages":"1-12"},"PeriodicalIF":2.3,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12139","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135726656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal output-constrained control of medium-voltage DC shipboard power systems for pulsed power load accommodation 中压直流船载电力系统脉冲功率负载优化控制

IF 2.3

IET Smart Grid Pub Date : 2023-10-30 DOI: 10.1049/stg2.12138

Zhenghong Tu, Jiangkai Peng, Bo Fan, Liming Liu, Wenxin Liu

{"title":"Optimal output-constrained control of medium-voltage DC shipboard power systems for pulsed power load accommodation","authors":"Zhenghong Tu, Jiangkai Peng, Bo Fan, Liming Liu, Wenxin Liu","doi":"10.1049/stg2.12138","DOIUrl":"10.1049/stg2.12138","url":null,"abstract":"For pulsed power load (PPL) accommodation in a medium-voltage DC (MVDC) shipboard power system (SPS), the charging control of energy storage systems (ESSs) and the generation control of distributed generators (DGs) need to be properly coordinated. Targeting the important but not well-studied problem, an optimal output-constrained control algorithm for the offline PPL accommodation strategy is presented. Three control objectives including realising the generation and charging control references, maintaining the DC bus and supercapacitor voltages within the safe operating ranges, and minimising the total generation cost of DGs, are fulfilled concurrently. First, an SPS model with multiple DGs, a supercapacitor ESS, and regular loads is developed. By restricting the DC bus and supercapacitor voltages within pre-defined constraints, both the transient- and steady-state performances of the SPS are guaranteed. Furthermore, by incorporating the cost minimisation objective into designed virtual control signals, the third control objective on energy efficiency is realised. The stability of the presented algorithm is rigorously proven based on the Lyapunov method. Finally, detailed case studies are conducted to validate the performance of the designed algorithm.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 1","pages":"51-62"},"PeriodicalIF":2.3,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12138","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136069706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0