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学者姓名：江岳文
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Abstract ：
由于电动汽车(electric vehicle,EV)存在数量多、随机性强等特点,其通过车网互动(vehicle-to-grid,V2G)聚合商参与电网调峰需求响应具有很强的不确定性,不仅影响电网运行质量,而且无法保证聚合商与用户的经济效益,因此亟需有效的响应机制引导EV合理参与电网服务.针对该问题,计及EV与V2G聚合商的盈利需求与发展前景,提出考虑EV调峰需求响应可靠性的V2G聚合商多时间尺度优化调度策略.首先,以EV集群诚信-容量综合指标最优对EV进行日前的需求响应预调度.其次,为应对EV日内违约不确定性,V2G聚合商采用日内违约应急机制对全域内EV进行应急邀约,以响应综合指标最优的动态评估模型对EV进行优化调度.接着,V2G聚合商和EV进行调峰需求响应的相关效益评估,包括电网与聚合商及聚合商与EV间的需求响应收益与违约成本,并对信用度好的EV进行诚信奖励,以激励EV守约.最后,通过算例仿真验证了所提调峰需求响应优化调度策略可有效提高EV集群响应的可靠性,增加EV和V2G聚合商的经济收益.
Keyword ：
V2G聚合商 V2G聚合商 响应可靠执行概率 响应可靠执行概率 电动汽车 电动汽车 调峰需求响应 调峰需求响应 违约不确定性 违约不确定性 违约应急机制 违约应急机制
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| GB/T 7714 | 黄珍瑶 , 程诺 , 江岳文 . 考虑EV调峰需求响应可靠性的V2G聚合商多时间尺度调度策略 [J]. | 高电压技术 , 2025 , 51 (1) : 401-411 . |
| MLA | 黄珍瑶 等. "考虑EV调峰需求响应可靠性的V2G聚合商多时间尺度调度策略" . | 高电压技术 51 . 1 (2025) : 401-411 . |
| APA | 黄珍瑶 , 程诺 , 江岳文 . 考虑EV调峰需求响应可靠性的V2G聚合商多时间尺度调度策略 . | 高电压技术 , 2025 , 51 (1) , 401-411 . |
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An operating model for nuclear-hydrogen integration (NHI) is developed based on an in-depth analysis of the future trajectories of the electricity and hydrogen markets. A planning model is proposed to determine the optimal capacity allocation ratio between nuclear power and hydrogen storage systems, while also optimizing the on-grid output of NHI within a reasonable range of system load factors. The results indicate that the optimal capacity ratio of nuclear power to electrolyzers and fuel cells is approximately 1: 0.41: 0.36. Flexibility analysis shows that NHI adjusts output from 51.3 % to 128 % of the rated power for nuclear power, enabling it to adapt effectively to load variations. Economically, NHI achieves a total revenue of 18.37 billion CNY, which is approximately 56.0 % lower than that of nuclear-pumped storage integration (NPSI). These findings suggest in regions with favorable geographical conditions for constructing pumped storage power plants, NPSI may represent a more economically viable operating strategy. © 2025 Hydrogen Energy Publications LLC
Keyword ：
Business model Business model Comprehensive utilization of nuclear energy Comprehensive utilization of nuclear energy Electricity-hydrogen coupling Electricity-hydrogen coupling Hydrogen storage capacity planning Hydrogen storage capacity planning Nuclear-hydrogen integration Nuclear-hydrogen integration
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| GB/T 7714 | Jiang, Y. , Ou, S. . Hydrogen storage capacity planning of nuclear-hydrogen integration under coupling of electricity and hydrogen [J]. | International Journal of Hydrogen Energy , 2025 , 126 : 238-250 . |
| MLA | Jiang, Y. 等. "Hydrogen storage capacity planning of nuclear-hydrogen integration under coupling of electricity and hydrogen" . | International Journal of Hydrogen Energy 126 (2025) : 238-250 . |
| APA | Jiang, Y. , Ou, S. . Hydrogen storage capacity planning of nuclear-hydrogen integration under coupling of electricity and hydrogen . | International Journal of Hydrogen Energy , 2025 , 126 , 238-250 . |
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在绿色经济和新能源快速发展的背景下,可再生能源供电得到了迅速发展.为应对分布式能源波动性大、抗干扰能力较弱的问题,探索以可再生能源供电为主的独立供电微网群运行策略具有重要意义.根据微电网的规划建设及相应控制模式,提出了微电网独立运行与互联运行的策略.为了减少微电网独立运行中的弃风、弃光现象,提高其经济效益,以最小化微电网独立运行成本和最大化微电网互联运行社会效益为目标,建立了涵盖微电网内部调度与微电网间调度的双层优化模型.采用交替方向乘子法(alternating direction multiplier,ADM)进行迭代求解,以获得兼顾各个微网络体及其群体整体运营效益的可再生能源输出功率、储能输出功率以及购售电策略.最后,通过对14节点独立供电微网群进行仿真分析,验证了所提模型的合理性及方法的有效性.
Keyword ：
互联运行 互联运行 交替乘子法(ADM) 交替乘子法(ADM) 分布式能源 分布式能源 双层优化模型 双层优化模型 微网群 微网群
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| GB/T 7714 | 郑弘奇 , 张芳颖 , 林佩伶 et al. 含多个投资主体的独立供电微网群运行策略 [J]. | 分布式能源 , 2024 , 9 (5) : 41-49 . |
| MLA | 郑弘奇 et al. "含多个投资主体的独立供电微网群运行策略" . | 分布式能源 9 . 5 (2024) : 41-49 . |
| APA | 郑弘奇 , 张芳颖 , 林佩伶 , 江岳文 . 含多个投资主体的独立供电微网群运行策略 . | 分布式能源 , 2024 , 9 (5) , 41-49 . |
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随着“双碳”目标的提出，电力行业减碳步伐加快，碳交易、绿证交易与超额消纳量交易成为减少碳排放与促进新型电力系统发展的重要市场手段。首先，基于双边集中竞价模式，构建火电、风电、光伏企业与电力用户共同参与的耦合碳-绿证-消纳量的日前电量市场交易机制。其次，兼顾市场成员收益与电量市场社会福利最优目标，建立了上下层迭代交互式交易优化模型。最后，采用交替方向乘子法进行迭代求解，并在IEEE-30节点系统上分析碳配额基准、绿证比例及消纳量交易价格对电量市场出清结果、发电商收益及用户成本的影响。算例结果表明，与单一电能量市场交易机制相比，耦合碳-绿证-消纳量的电量市场交易机制能够显著降低火电企业的碳排放量，同时提高风电、光伏企业的中标电量，激励用户跟踪系统新能源出力，减轻系统弃风、弃光现象。
Keyword ：
交互优化 交互优化 电量交易 电量交易 碳交易 碳交易 绿证交易 绿证交易 耦合优化 耦合优化 超额消纳量交易 超额消纳量交易
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| GB/T 7714 | 陈巍 , 江岳文 . 耦合碳-绿证-消纳量市场的日前电量市场交易交互式优化 [J]. | 电网技术 , 2024 , 48 (05) : 1967-1979 . |
| MLA | 陈巍 et al. "耦合碳-绿证-消纳量市场的日前电量市场交易交互式优化" . | 电网技术 48 . 05 (2024) : 1967-1979 . |
| APA | 陈巍 , 江岳文 . 耦合碳-绿证-消纳量市场的日前电量市场交易交互式优化 . | 电网技术 , 2024 , 48 (05) , 1967-1979 . |
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为了达到海上风电输电工程降损的目的,该文首先详细推导海上风电输电工程海缆传输效率函数,分析海缆传输效率影响因素和有载变压器分接头挡位优化降损原理,建立海缆输电工程日损耗优化模型;其次,考虑降损优化中风电场出力及并网点电压的波动,鉴于随机变量时间序列自相关性分析,提出一种基于预测数据驱动的高维凸包不确定集合建模方法,获得极限场景,降低决策保守性的同时提升计算效率;然后,采用 Q 学习算法进行训练,并结合多智能体系统优化方法求解优化模型,分接头挡位优化和调整时刻优化交替进行,智能体在动作策略与风电场运行状态的交互中不断学习,形成海上风电场日最佳分接头挡位及分接头挡位最佳调整时刻策略.最后,通过对某一海上风电场 220 kV交流海缆输电工程的仿真分析,验证所提模型的合理性以及方法的有效性.
Keyword ：
不确定性 不确定性 多智能体Q学习算法 多智能体Q学习算法 有功降损 有功降损 有载变压器挡位优化 有载变压器挡位优化 海上风电输电工程 海上风电输电工程
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| GB/T 7714 | 郑弘奇 , 江岳文 , 戴锦山 . 不确定环境下基于多智能体Q学习的海上风电输电工程电压调整降损优化 [J]. | 中国电机工程学报 , 2024 , 44 (20) : 7995-8008,中插7 . |
| MLA | 郑弘奇 et al. "不确定环境下基于多智能体Q学习的海上风电输电工程电压调整降损优化" . | 中国电机工程学报 44 . 20 (2024) : 7995-8008,中插7 . |
| APA | 郑弘奇 , 江岳文 , 戴锦山 . 不确定环境下基于多智能体Q学习的海上风电输电工程电压调整降损优化 . | 中国电机工程学报 , 2024 , 44 (20) , 7995-8008,中插7 . |
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With the goal of 'carbon peaking and carbon neutrality', the process of carbon reduction in the power industry has been accelerated. The carbon emissions trading, the green certificate trading and the excessive renewable electricity consumption trading have become important market instruments to reduce carbon emissions and promote the development of new power systems. First of all, based on the bilateral centralized bidding, this paper establishes a power energy market trading mechanism considering the coupling of the carbon-green certificate–renewable electricity consumption market with the participation of thermal power, wind power, photovoltaic enterprises and power users. Secondly, a hierarchical iterative interactive transaction optimization model is constructed by taking into account the optimal goals of the market members' benefits and the social welfare of the electricity markets. Finally, the alternating direction multiplier method is used for iterative solution and the impact of the carbon quota benchmark, the green certificate ratio and the renewable electricity consumption trading prices on the electricity market clearing results and the proceeds from generators and users’ costs are analyzed on the IEEE-30 node system. The results show that the power energy market trading mechanism considering the coupling of carbon-green certificate–renewable electricity consumption market is able to significantly reduce the carbon emissions of the thermal power companies compared with the single energy market trading mechanisms. Meanwhile, the mechanism can improve the wind power and photovoltaic enterprises to win the power bids, incentivize users to track the new energy output of the system and mitigate systematic wind and light abandonment. © 2024 Power System Technology Press. All rights reserved.
Keyword ：
Carbon Carbon Costs Costs Electric industry Electric industry Electric power utilization Electric power utilization Iterative methods Iterative methods Power markets Power markets Wind power Wind power
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| GB/T 7714 | Chen, Wei , Jiang, Yuewen . Interactive Optimization of Day-ahead Market Trading Considering Coupling of Carbon-green Certificate-renewable Electricity Consumption Market [J]. | Power System Technology , 2024 , 48 (5) : 1967-1979 . |
| MLA | Chen, Wei et al. "Interactive Optimization of Day-ahead Market Trading Considering Coupling of Carbon-green Certificate-renewable Electricity Consumption Market" . | Power System Technology 48 . 5 (2024) : 1967-1979 . |
| APA | Chen, Wei , Jiang, Yuewen . Interactive Optimization of Day-ahead Market Trading Considering Coupling of Carbon-green Certificate-renewable Electricity Consumption Market . | Power System Technology , 2024 , 48 (5) , 1967-1979 . |
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随着配电系统中直流设备的大量接入，交直流混合配电系统得到越来越广泛的应用。为适应交直流混合配电系统中不同交直流（AC/DC）类型的负荷或电源的接入，提出一种新的交直流混合配电系统网架结构规划方法，该方法考虑了网架交直流配置的所有可能性。首先以二进制网络矩阵描述配电系统的网架结构；其次建立网架单层规划模型，将规划变量和运行变量同时进行优化以提升全局寻优能力；最后将单层规划模型进行线性化处理，转换为混合整数线性规划问题以提升求解效率。仿真结果表明，所提方法能够为配电系统中不同交直流类型的负荷和电源的接入提供最佳的网架配置方案，相比于传统的纯交流规划方案具有更好的经济性和供电能力，在算法上与经典遗传算法求解的双层规划方法相比，具有更好的全局寻优能力和计算效率。
Keyword ：
交直流混合配电系统 交直流混合配电系统 单层规划 单层规划 线性化优化 线性化优化 网架规划 网架规划
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| GB/T 7714 | 江岳文 , 罗泽宇 , 程诺 . 基于线性化方法的交直流混合配电系统网架规划 [J]. | 电工技术学报 , 2024 , 39 (05) : 1404-1418 . |
| MLA | 江岳文 et al. "基于线性化方法的交直流混合配电系统网架规划" . | 电工技术学报 39 . 05 (2024) : 1404-1418 . |
| APA | 江岳文 , 罗泽宇 , 程诺 . 基于线性化方法的交直流混合配电系统网架规划 . | 电工技术学报 , 2024 , 39 (05) , 1404-1418 . |
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In order to adapt the network structure of a distribution network to the access of new energy technologies such as distributed generation (DG), energy storage and DC loads, a new network planning method for AC/DC hybrid distribution networks is proposed. The method considered all possibilities of the AC/DC configuration to improve the economic benefits of the network construction, and constructed a linearized single-layer network planning model to improve the global optimization capability in view of the difficulty of obtaining global optimal solutions for the network planning model. Firstly, considering that AC/DC types of buses and the connection states between buses determine the investment cost of converters and lines, which determines the economic benefits of distribution network planning, a binary bus type matrix is used to represent AC/DC types of buses, a binary network association matrix is developed to represent the connection states between buses, and binary line type variables are adopoted to represent line type selection to construct network structure decision variables, achieving a description of the overall network structure. Secondly, with an objective of converter installation cost, line construction cost and system operation and maintenance cost, a single-layer network planning model is established considering elaborated and practical constraints, such as the number of node-connected lines, line selection constraint, power flow, voltage source converter (VSC) reactive power compensation capacity, system safety operation, energy storage operation, network connectivity and so on. In this proposed model, the AC and DC current models is unified by introducing branch type variables, thus linking the planning layer and operation layer, so that network planning variables and operation optimization variables consisting of power purchased from the distribution network to the grid, DG output, energy storage charging and discharging power and VSC power were optimized simultaneously to enhance the possibility of obtaining a global optimal solution. Finally, to achieve better sulution, power flow equations and line transmission capacity constraints are linearized by a series of linearization methods, such that the mixed integer nonlinear programming (MINLP) problem was transformed into a mixed integer linear programming (MILP) problem, and the GUROBI solver is invoked in Matlab to solve it. The validity of the planning method was verified in a 13-node distribution system. The simulation results show that: (1) The AC/DC hybrid distribution network planning scheme can save 5.05% of the total investment and operation cost compared with the pure AC distribution network planning, and the network structure of the planned AC/DC hybrid distribution network also has greater network supply capacity, which illustrates that the AC/DC hybrid distribution network is more advantageous in the case of mixed AC/DC sources and loads. (2) The proposed planning method saves 13.54% of the total investment and operation cost and 91.32% of the computation time compared with the traditional bi-layer planning model solved by genetic algorithm, which indicates that the single-layer network planning method has prominent global optimization performance and faster computational efficiency. (3) As the method does not require relaxation of constraints, compared to second-order cone planning techniques, there are no limitations in terms of grid topology, etc, and it is suitable for the planning of both radial and meshed distribution networks. © 2024 China Machine Press. All rights reserved.
Keyword ：
Costs Costs Electric load flow Electric load flow Electric power distribution Electric power distribution Electric power transmission Electric power transmission Electric power transmission networks Electric power transmission networks Energy storage Energy storage Global optimization Global optimization Integer programming Integer programming Investments Investments Linearization Linearization MATLAB MATLAB Network layers Network layers Nonlinear equations Nonlinear equations Optimal systems Optimal systems Reactive power Reactive power
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| GB/T 7714 | Jiang, Yuewen , Luo, Zeyu , Cheng, Nuo . Network Planning of AC/DC Hybrid Distribution System Based on Linearization Method [J]. | Transactions of China Electrotechnical Society , 2024 , 39 (5) : 1404-1418 . |
| MLA | Jiang, Yuewen et al. "Network Planning of AC/DC Hybrid Distribution System Based on Linearization Method" . | Transactions of China Electrotechnical Society 39 . 5 (2024) : 1404-1418 . |
| APA | Jiang, Yuewen , Luo, Zeyu , Cheng, Nuo . Network Planning of AC/DC Hybrid Distribution System Based on Linearization Method . | Transactions of China Electrotechnical Society , 2024 , 39 (5) , 1404-1418 . |
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To effectively address the issues of low utilization and challenging cost recovery in distributed energy storage, it is crucial to study trading mechanisms tailored to distributed energy storage. The business model of the sharing economy applied to the energy storage field has potential, and many existing methods have implemented diverse energy sharing transactions using blockchain technology. However, these studies have not adequately considered the convenience of energy storage operations. To tackle this problem, this paper views energy storage as a physical device and designs a more user-friendly coupled charging and discharging sharing mechanism. This approach reduces transaction risks while enhancing the control rights of energy storage participants. First, a business model for energy storage sharing was explored, and a sharing mechanism that separates ownership and usage rights was studied. The trading process, application scenarios, pricing mechanisms, credit management, settlement mechanisms, and rolling trading models supported by blockchain technology were investigated. An optimization model for energy storage sharing that couples charging and discharging rights was established. Then, a decentralized and privacy-focused blockchain platform was built. Smart contracts were used to facilitate the transfer of energy usage rights and control of charging and discharging. This platform ensures the sustainability of energy storage systems while highlighting their role as leaseable physical assets. By simulating scenarios where distributed energy sources and electricity consumers participate in energy storage sharing for deviation handling, we assess the feasibility of the energy storage sharing market. From the perspective of energy storage, profitability depends on initial investment and maintenance costs, as well as equipment parameters. Under current cost levels, energy storage systems with power-to-capacity ratios exceeding 1/4 can profit in this market. From the perspective of energy storage participants, if market prices for distributed electricity transactions are higher than 0.74 ¥/(kW∙h), and the price difference between peak and off-peak electricity sales is greater than 0.4 ¥/(kW∙h), market participants can gain 2.4% to 14.3% more profit through energy storage sharing than through grid backup mode. Conversely, when market prices are lower and price differences are smaller, participants may earn 0.71% to 10.69% less through energy storage sharing. Thus, under specific market conditions, distributed energy storage sharing can create mutually beneficial transactions. Additionally, blockchain technology supports an automated end-to-end trading process, including transaction submission, matching, energy usage rights transfer, on-chain data storage, and real-time settlement. The following conclusions can be drawn from the simulation analysis: (1) The profitability of energy storage participation in the sharing market is subject to the constraints of initial construction, operational costs, and the parameters of energy storage devices. Technological improvements, coupled with cost reductions, are expected to promote the development of the energy storage sharing market. (2)Market conditions characterized by significant fluctuations in grid electricity prices and high levels of trading prices for distributed electricity are more likely to attract market participants to engage in energy storage sharing transactions. (3)Blockchain technology ensures transparency and traceability in energy storage sharing transactions while enhancing the trust of energy storage sharing participants in the platform. This provides robust technical support for the further implementation and promotion of distributed energy storage sharing transactions. © 2024 China Machine Press. All rights reserved.
Keyword ：
Blockchain Blockchain Commerce Commerce Costs Costs Investments Investments Profitability Profitability
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| GB/T 7714 | Jiang, Yuewen , Lin, Peiling , Huang, Chongyang . Blockchain-Based Distributed Energy Storage Charge-Discharge Rights Coupled with Shared Transactions [J]. | Transactions of China Electrotechnical Society , 2024 , 39 (23) : 7512-7527 . |
| MLA | Jiang, Yuewen et al. "Blockchain-Based Distributed Energy Storage Charge-Discharge Rights Coupled with Shared Transactions" . | Transactions of China Electrotechnical Society 39 . 23 (2024) : 7512-7527 . |
| APA | Jiang, Yuewen , Lin, Peiling , Huang, Chongyang . Blockchain-Based Distributed Energy Storage Charge-Discharge Rights Coupled with Shared Transactions . | Transactions of China Electrotechnical Society , 2024 , 39 (23) , 7512-7527 . |
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为有效解决分布式储能利用率低、投资运营成本难以回收的问题,亟须研究面向分布式储能的交易机制.传统交易方式成本高昂、结算不及时、信任缺乏且难以确保安全性,引入区块链技术有望破解上述难题.首先,探索基于区块链的储能共享商业运营模式,研究储能所有权与使用权分离的共享交易机制,以及区块链支持下的共享交易流程、共享应用场景、价格机制、信用管理机制、结算机制与滚动交易模式,建立充电权与放电权耦合的储能共享交易优化出清模型;然后,搭建去中心化、高隐私性的区块链交易平台,利用智能合约实现储能使用权转移与充放电控制,通过交互核心交易功能,形成完整的储能共享交易与控制流程;最后,通过算例分析,分布式储能共享交易可达成交易双方共赢的局面,有助于推动储能规模化发展.
Keyword ：
充放电权耦合 充放电权耦合 共享交易 共享交易 分布式储能 分布式储能 区块链 区块链
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| GB/T 7714 | 江岳文 , 林佩伶 , 黄重阳 . 基于区块链的分布式储能充放电权耦合共享交易 [J]. | 电工技术学报 , 2024 , 39 (23) : 7512-7527 . |
| MLA | 江岳文 et al. "基于区块链的分布式储能充放电权耦合共享交易" . | 电工技术学报 39 . 23 (2024) : 7512-7527 . |
| APA | 江岳文 , 林佩伶 , 黄重阳 . 基于区块链的分布式储能充放电权耦合共享交易 . | 电工技术学报 , 2024 , 39 (23) , 7512-7527 . |
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