Energy Conversion and Economics最新文献_第3页

Active distribution network dynamic partitioning method based on the Voltage/Var sensitivity using branch cutting and binary particle swarm optimisation 利用分支切割和二元粒子群优化，基于电压/电压敏感性的有源配电网动态分区方法

Energy Conversion and Economics Pub Date : 2024-08-02 DOI: 10.1049/enc2.12120

Yuqi Ji, Xuehan Chen, Ping He, Xiaomei Liu, Congshan Li, Yukun Tao, Jiale Fan

{"title":"Active distribution network dynamic partitioning method based on the Voltage/Var sensitivity using branch cutting and binary particle swarm optimisation","authors":"Yuqi Ji, Xuehan Chen, Ping He, Xiaomei Liu, Congshan Li, Yukun Tao, Jiale Fan","doi":"10.1049/enc2.12120","DOIUrl":"https://doi.org/10.1049/enc2.12120","url":null,"abstract":"To optimally harness the adjustable capabilities of reactive power sources for voltage control, a dynamic partitioning method that uses reactive power flow tracking for branch cutting through Binary Particle Swarm Optimisation (BPSO) is proposed for Active Distribution Networks (ADNs). Initially, the limitations of existing Voltage/Var Sensitivity (VVS) calculation methods are analysed, leading to the proposition of a novel VVS calculation method capable of capturing variations in source-load timing characteristics. Subsequently, the fuzzification of the VVS matrix between nodes is used to derive the membership degree matrix. Next, based on the membership relationship between reactive power source nodes, these nodes are pre-partitioned, and the number of leading nodes and zones alongside are preliminarily determined. Then, the range of the branch to be cut is established, guided by the reactive power flow direction of the branch. Employing the zonal comprehensive coupling degree as the objective function of the BPSO facilitates the identification of optimal branch cutting points, thereby determining the partitioning outcome. Finally, a reactive power reserve check is executed to rectify any non-compliant zones. In this study, numerical simulations are conducted using the enhanced IEEE 33-node power system to demonstrate the efficacy of the proposed method.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"5 4","pages":"211-223"},"PeriodicalIF":0.0,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12120","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142099889","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 bidding strategy for generation companies alliance in electricity-carbon-green certificate markets 发电公司联盟在电力-碳-绿色证书市场中的最佳投标策略

Energy Conversion and Economics Pub Date : 2024-06-28 DOI: 10.1049/enc2.12119

Zhilin Lu, Bochun Zhan, Zihao Li, Yuan Leng, Xinhe Yang, Fushuan Wen

{"title":"Optimal bidding strategy for generation companies alliance in electricity-carbon-green certificate markets","authors":"Zhilin Lu, Bochun Zhan, Zihao Li, Yuan Leng, Xinhe Yang, Fushuan Wen","doi":"10.1049/enc2.12119","DOIUrl":"https://doi.org/10.1049/enc2.12119","url":null,"abstract":"To promote the profit of generation companies and reduce carbon emissions from the generation sector, a two-layer decision-making model based on the cooperative game is proposed. Based on the analysis of a renewable-fossil energy generation alliance to participate in electricity-carbon-green certificate markets, a robust optimization model considering the price uncertainty in the electricity spot market is first established based on the information gap decision-making theory as the upper part of a two-layer optimization model. Subsequently, the clearing models of the electricity spot, carbon emission trading, and green certificate markets are established. This two-layer optimization model is transformed into a single-layer model based on the well-established KKT conditions. A profit allocation model for the members of the generation alliance is then presented based on the Shapley value and an improved nucleolus kernel method. Finally, the effectiveness of the proposed model is demonstrated by the IEEE 14-bus power system.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"5 3","pages":"182-192"},"PeriodicalIF":0.0,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12119","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141488995","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 peer-to-peer joint energy and reserve market considering renewable generation uncertainty: A generalized Nash equilibrium approach 考虑到可再生能源发电不确定性的点对点联合能源和储备市场：广义纳什均衡法

Energy Conversion and Economics Pub Date : 2024-06-28 DOI: 10.1049/enc2.12121

Xiupeng Chen, Lu Wang, Yuning Jiang, Jianxiao Wang

{"title":"A peer-to-peer joint energy and reserve market considering renewable generation uncertainty: A generalized Nash equilibrium approach","authors":"Xiupeng Chen, Lu Wang, Yuning Jiang, Jianxiao Wang","doi":"10.1049/enc2.12121","DOIUrl":"https://doi.org/10.1049/enc2.12121","url":null,"abstract":"Peer-to-peer (P2P) energy trading enhances distribution network resilience by reducing energy demand from central power plants and enabling distributed energy resources to support critical loads after extreme events. However, adequate reserves from main grids are still required to ensure real-time energy balance in distribution networks due to the uncertainty in renewable generation. This paper introduces a novel two-stage joint energy and reserve market for prosumers, wherein local flexible resources are fully utilized to manage renewable generation uncertainty. In contrast to cooperative optimization methods, the interactions between prosumers are modelled as a generalized Nash game (GNG), considering that prosumers are self-interested and should follow distribution network constraints. Then, linear decision rules are employed to ensure a feasible market equilibrium and develop a privacy-preserving algorithm to guide prosumers toward the market equilibrium with a proven convergence. Finally, the numerical study on a modified IEEE 33-power system demonstrates that the designed market effectively manages renewable generation uncertainty, and that the algorithm converges to the market equilibrium.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"5 3","pages":"168-181"},"PeriodicalIF":0.0,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12121","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141488994","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

Anomaly-detection-based learning for real-time data processing in non-intrusive load monitoring 基于异常检测的学习，用于非侵入式负载监测中的实时数据处理

Energy Conversion and Economics Pub Date : 2024-06-25 DOI: 10.1049/enc2.12118

Zhebin Chen, Zhao Yang Dong, Yan Xu

{"title":"Anomaly-detection-based learning for real-time data processing in non-intrusive load monitoring","authors":"Zhebin Chen, Zhao Yang Dong, Yan Xu","doi":"10.1049/enc2.12118","DOIUrl":"https://doi.org/10.1049/enc2.12118","url":null,"abstract":"A power system can be regarded as a cyber-physical system with physical power networks and a cyber system based on increasing engagement with information communication technologies for smart grid functionalities for more efficient operations and control. Non-intrusive load monitoring (NILM), an emerging smart-grid technology, can be used to better understand the electricity usage profile and composition of smart meters using advanced data analysis algorithms. Although NILM enables various smart grid services, wider applications of NILM require addressing the challenges regarding cyber security and data privacy risks. Anomaly detection in appliance data is one of the most effective measures against potential cyber intrusions from a data perspective. This study proposes a framework of anomaly detection-based learning algorithms to identify the anomalous periods of electricity loading data, which may be a subject for potential cyber-attacks. Comparison studies with the hidden Markov model are performed to validate the proposed approaches. The simulation results show that these anomaly detection-based learning algorithms work well and can precisely determine anomalous loading periods. Moreover, these trained models perform well on the testing dataset without prior knowledge of the data, providing the possibility of the real-time assessment of power- loading states. The proposed framework can also be used to develop protective measures to ensure secure system operation and user data privacy.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"5 3","pages":"146-155"},"PeriodicalIF":0.0,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12118","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141488396","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 robust optimization method for power systems with decision-dependent uncertainty 针对具有决策不确定性的电力系统的稳健优化方法

Energy Conversion and Economics Pub Date : 2024-06-25 DOI: 10.1049/enc2.12117

Tao Tan, Rui Xie, Xiaoyuan Xu, Yue Chen

{"title":"A robust optimization method for power systems with decision-dependent uncertainty","authors":"Tao Tan, Rui Xie, Xiaoyuan Xu, Yue Chen","doi":"10.1049/enc2.12117","DOIUrl":"https://doi.org/10.1049/enc2.12117","url":null,"abstract":"Robust optimization is an essential tool for addressing the uncertainties in power systems. Most existing algorithms, such as Benders decomposition and column-and-constraint generation (C&CG), focus on robust optimization with decision-independent uncertainty (DIU). However, increasingly common decision-dependent uncertainties (DDUs) in power systems are frequently overlooked. When DDUs are considered, traditional algorithms for robust optimization with DIUs become inapplicable. This is because the previously selected worst-case scenarios may fall outside the uncertainty set when the first-stage decision changes, causing traditional algorithms to fail to converge. This study provides a general solution algorithm for robust optimization with DDU, which is called dual C&CG. Its convergence and optimality are proven theoretically. To demonstrate the effectiveness of the dual C&CG algorithm, we used the do-not-exceed limit (DNEL) problem as an example. The results show that the proposed algorithm can not only solve the simple DNEL model studied in the literature but also provide a more practical DNEL model considering the correlations among renewable generators.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"5 3","pages":"133-145"},"PeriodicalIF":0.0,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12117","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141488397","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

Stability analysis and improvement based on virtual impedance for electrolytic capacitor-less DC multi-port converter 基于虚拟阻抗的无电解电容直流多端口转换器稳定性分析与改进

Energy Conversion and Economics Pub Date : 2024-05-25 DOI: 10.1049/enc2.12113

Jiang Chen, Ying Xu, Jiantao Zhang, Can Li, Yang Zeng, Yuyang Li, Zhiguo Wei

{"title":"Stability analysis and improvement based on virtual impedance for electrolytic capacitor-less DC multi-port converter","authors":"Jiang Chen, Ying Xu, Jiantao Zhang, Can Li, Yang Zeng, Yuyang Li, Zhiguo Wei","doi":"10.1049/enc2.12113","DOIUrl":"https://doi.org/10.1049/enc2.12113","url":null,"abstract":"The DC multi-port converter's applications are increasing owing to its favourable features, including variable control mode, high power density, and bi-directional power supply. On the other hand, the impedance interaction between each port of the electrolytic capacitor-less DC multi-port converter may generate an instability. To address the above mentioned problem, a method is proposed in this paper for reshaping the impedances of the energy storage converter by constructing a virtual impedance connected in parallel with the output impedance of the electrolytic capacitor-less DC multi-port converter. Furthermore, this paper introduces the stability criterion based on the unified impedance theory, which classifies a converter as either the bus current-controlled converter or the bus voltage-controlled converter. The proposed control approaches raise the magnitude of the output impedance of the electrolytic capacitor-less DC multi-port converter to satisfy the unified impedance theory criterion without modifying each port. The simulation results show that the proposed method is better than the traditional methods, and comprehensive experimental results are provided to validate the proposed methods.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"5 3","pages":"156-167"},"PeriodicalIF":0.0,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12113","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141488377","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

Capacity configuration optimization of photovoltaic-battery-electrolysis hybrid system for hydrogen generation considering dynamic efficiency and cost learning 考虑动态效率和成本学习因素的光伏-电池-电解混合制氢系统容量配置优化

Energy Conversion and Economics Pub Date : 2024-04-22 DOI: 10.1049/enc2.12115

Wenzuo Zhang, Chuanbo Xu

{"title":"Capacity configuration optimization of photovoltaic-battery-electrolysis hybrid system for hydrogen generation considering dynamic efficiency and cost learning","authors":"Wenzuo Zhang, Chuanbo Xu","doi":"10.1049/enc2.12115","DOIUrl":"10.1049/enc2.12115","url":null,"abstract":"Green hydrogen production via photovoltaic (PV)-electrolysis is a promising method for addressing global climate change. The battery provides a stable power supply for the PV-electrolysis system. Hence, this study proposes a robust model for configuring the capacity of a PV-battery-electrolysis hybrid system by considering the dynamic efficiency characteristics and cost learning curve effect of key equipments. As a segmented function, the dynamic efficiency of electrolysis is incorporated into the robust model, which describes the hydrogen production efficiency based on power fluctuations. A learning curve model is developed based on historical data from 2012 to 2020 to predict future capital expenditure. Major results are as follows: (1) The use of dynamic efficiency characteristics can reflect the real-time status of the electrolysis more accurately, and make the capacity configuration more reasonable compared with fixed efficiency. (2) Considering the effect of the learning curve, by 2050, the capital expenditure of the PV panel and proton exchange membrane (PEM) electrolysis can be dropped to 2981 and 1992 CNY/kW, respectively. (3) The optimal case considering uncertainty currently is a 1 MW PV panel equipped with 242 kW electrolysis and 2276 kW battery.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"5 2","pages":"78-92"},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12115","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140676611","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

Communication-resilient and convergence-fast peer-to-peer energy trading scheme in a fully decentralized framework 完全分散框架中的通信弹性和快速收敛点对点能源交易方案

Energy Conversion and Economics Pub Date : 2024-04-22 DOI: 10.1049/enc2.12116

Changsen Feng, Hang Wu, Jiajia Yang, Zhiyi Li, Youbing Zhang, Fushuan Wen

引用次数: 0

A closed-loop representative day selection framework for generation and transmission expansion planning with demand response 针对需求响应的发电和输电扩展规划的闭环代表日选择框架

Energy Conversion and Economics Pub Date : 2024-04-10 DOI: 10.1049/enc2.12114

Haicheng Liu, Haotian Li, Hongli Liu, Chenjia Gu, Qingtao Li, Qiangyu Ren

{"title":"A closed-loop representative day selection framework for generation and transmission expansion planning with demand response","authors":"Haicheng Liu, Haotian Li, Hongli Liu, Chenjia Gu, Qingtao Li, Qiangyu Ren","doi":"10.1049/enc2.12114","DOIUrl":"10.1049/enc2.12114","url":null,"abstract":"In power systems with a high proportion of renewable energy resources (RES), the inherent stochasticity and volatility of RES necessitate careful consideration in power system planning. Scenario analysis is commonly employed to address the stochastic nature in power system planning. Existing studies generally adopt an open-loop structure, where representative days are selected first and planning decisions are subsequently made. However, this method may not accurately represent the operating status of a system owing to changes in the power generation structure during the planning process. To address this limitation, this paper introduces a closed-loop framework for representative day selection within the context of generation and transmission expansion planning (G&TEP), incorporating demand response (DR). The framework comprises three layers: representative day selection, planning decisions, and long-term operational simulation. Initially, an approach for selecting representative days is proposed by combining the clustering and optimization-based methods. Subsequently, a G&TEP model that incorporates DR is presented in the second layer. Lastly, the framework encompasses a three-layer closed-loop structure, enabling dynamic adjustments and enhancements to the representative day selection process to ensure optimality. Case studies on the reliability and operational test system of a power grid with large-scale renewable integration (XJTU-ROTS) demonstrate the effectiveness of our proposed framework.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"5 2","pages":"93-109"},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12114","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140720211","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 power bidding of overseas PV plants in Singapore wholesale electricity market 新加坡电力批发市场中海外光伏电站的最优电力竞标

Energy Conversion and Economics Pub Date : 2024-03-28 DOI: 10.1049/enc2.12112

Yan Xu

{"title":"Optimal power bidding of overseas PV plants in Singapore wholesale electricity market","authors":"Yan Xu","doi":"10.1049/enc2.12112","DOIUrl":"10.1049/enc2.12112","url":null,"abstract":"Singapore's power sector has set targets of net-zero emissions by 2050. Given the limited land space of the country, a key strategy to decarbonize the power grid is to import clean power from renewable energy resources such as photovoltaic (PV) plants installed at overseas locations. The present electricity market rules require such overseas PV plants to maintain constant power generation during each bidding period. To meet such requirements, energy storage systems (ESSs) are to be deployed in the PV plants to compensate for the PV power fluctuation. This paper proposes an optimal power bidding approach for maximizing the profit of the PV plant participating in the Singapore wholesale electricity market. The problem is formulated as a stochastic programming model, which takes the short-term PV power forecasting as the input, maximizes the expected profit considering the PV power selling revenue and the penalty cost for power shortfall during each bidding cycle (30 min), and satisfies constraints of the ESS. The proposed method can also be used for determining the optimal size of the ESS. Simulation results have verified the effectiveness of the proposed method.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"5 2","pages":"73-77"},"PeriodicalIF":0.0,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12112","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140371060","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