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2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)最新文献

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Regulation Capability Evaluation Method of EV Clusters Considering Travel Demand 考虑出行需求的电动汽车集群调控能力评价方法
Pub Date : 2021-07-18 DOI: 10.1109/ICPSAsia52756.2021.9621369
Wen Wang, Xiaofeng Peng, Sicheng Duan, Fangjian Chen, Tengxin Wang, M. Xia, Qifang Chen, Ye Yang
Electric vehicles (EVs) can be used as load-side mobile energy storage resources to control the balance of power system supply and demand, so it is particularly important to evaluate the regulation capability of electric vehicle clusters. Firstly, this paper establishes an evaluation model for the regulation capability of EV clusters based on EV battery capacity limitations and user charging requirements. Secondly, after dispatching instructions from the power grid, the status of the electric vehicles at the station is classified. Thirdly, the time margin and the state-of-charge (SOC) margin are comprehensively considered to make dispatching plans for different status types of EVs. The regulation capability is dynamically updated in real time while tracking the dispatching instructions issued by the power grid. Finally, a simulation case of an EV cluster in an office area verifies the effectiveness of the EV cluster regulation capability evaluation model and grid dispatching strategy proposed in this paper.
电动汽车可以作为负载侧的移动储能资源来控制电力系统的供需平衡,因此评估电动汽车集群的调节能力就显得尤为重要。首先,建立了基于电动汽车电池容量限制和用户充电需求的电动汽车集群调节能力评价模型;其次,在收到电网的调度指令后,对站内电动汽车的状态进行分类。第三,综合考虑时间裕度和荷电裕度,制定不同状态类型电动汽车的调度方案。在跟踪电网下达的调度指令的同时,实时动态更新调节能力。最后,以某办公区域的电动汽车集群为例,验证了本文提出的电动汽车集群调节能力评估模型和电网调度策略的有效性。
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引用次数: 0
Distributed Coordinated Voltage Control of Photovoltaic and Energy Storage System Based on Dynamic Consensus Algorithm 基于动态共识算法的光伏储能系统分布式协调电压控制
Pub Date : 2021-07-18 DOI: 10.1109/ICPSAsia52756.2021.9621659
Zheng Lin, Fei Jiang, Chunming Tu, Zekun Xiao
The construction of a high-proportion new energy power system is conducive to the realization of renewable energy utilization and the achievement of dual-carbon goals. Aiming at the voltage overrun problem caused by large-scale photovoltaic grid-connected in new energy power generation, this paper proposes a distributed coordinated voltage control strategy for photovoltaic and energy storage system based on a dynamic consensus algorithm. The voltage control method of low-voltage distribution network is analyzed, and the distributed control model of photovoltaic and energy storage system is established, which realizes the coordinated control of photovoltaic and energy storage system. The results of the calculation example show that the proposed strategy can effectively coordinate the reactive power control of PV with the active power control of energy storage system, and suppress the voltage overrun problem in the low-voltage distribution network.
建设高比例的新能源电力系统,有利于实现可再生能源利用和双碳目标的实现。针对新能源发电中大规模光伏并网造成的电压超限问题,提出了一种基于动态共识算法的光伏与储能系统分布式协调电压控制策略。分析了低压配电网的电压控制方法,建立了光伏与储能系统的分布式控制模型,实现了光伏与储能系统的协同控制。算例结果表明,该策略能有效地协调光伏系统的无功控制与储能系统的有功控制,抑制低压配电网中的电压超限问题。
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引用次数: 0
Research on Double-Layer Coupling Voltage Regulation Strategy for Distribution Network Containing High Permeability Distributed Generation 含高磁导率分布式电源的配电网双层耦合调压策略研究
Pub Date : 2021-07-18 DOI: 10.1109/ICPSAsia52756.2021.9621549
Shaobo Yang, Liang Meng, C. Su, Jing Tian, Lei Wang, Li Guo
The penetration rate of distributed power sources in the distribution network continues to increase, and the problem of voltage limit violations in the distribution network has gradually become prominent. This paper combines the linearization method and the voltage sensitivity to propose a two-stage linearization voltage regulation strategy. In the first stage, the optimal voltage regulation model is established. Aiming at the problem that the traditional model is difficult to solve by non-convex and nonlinearity, this paper analyzes the influence of transformer taps and distributed power reactive power on network loss and node voltage, and constructs linearized voltage regulation. The model effectively reduces the calculation complexity and calculation time of the optimization problem. In the second stage, in view of the uncertain factors in actual operation, an in-situ compensation based on droop characteristics and a comprehensive voltage adjustment strategy based on voltage sensitivity are proposed. Based on the linearized scheduling results of the first stage, the output of photovoltaic power is reproduced. The regulation ensures the robustness of the voltage regulation algorithm, and the effectiveness of the method proposed in this paper is verified through case analysis.
分布式电源在配电网中的普及率不断提高,配电网中电压极限违规问题逐渐凸显。本文将线性化方法与电压灵敏度相结合,提出了一种两级线性化电压调节策略。第一阶段,建立最优电压调节模型。针对传统模型非凸非线性难以求解的问题,分析了变压器抽头和分布式电源无功对网损和节点电压的影响,构建了线性化电压调节。该模型有效地降低了优化问题的计算复杂度和计算时间。第二阶段,针对实际运行中的不确定因素,提出了基于下垂特性的原位补偿和基于电压灵敏度的综合电压调整策略。基于第一阶段的线性化调度结果,再现了光伏发电的输出。该调节保证了电压调节算法的鲁棒性,并通过实例分析验证了本文方法的有效性。
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引用次数: 0
Research on Multi-objective Optimization of Integrated Energy System Considering Integrated Demand Response 考虑综合需求响应的综合能源系统多目标优化研究
Pub Date : 2021-07-18 DOI: 10.1109/ICPSAsia52756.2021.9621644
Qingsheng Zhao, Guilong Wang, Dingkang Liang, Zun Guo
This paper constructs a multi-objective optimization model for the economy, energy efficiency, and environmental protection of the park-level integrated energy system, which includes a combined cooling, heating and power system, heat storage, battery swapping station, electric vehicles, gas boilers, air conditioning, and photovoltaic and thermal. Take battery swapping station, electric vehicles, and air conditioning as the main body of integrated demand response implementation. Use exergy efficiency as an energy efficiency optimization indicator, and pollutant discharge treatment costs as an environmental protection evaluation indicator. The model established in this paper can be solved by Cplex. Finally, the calculation example analyzes the impact of different integrated demand response implementation scenarios on the system operation. The results show that the model can take into account the economy, energy efficiency and environmental protection of system operation, and the effect of peak shaving and valley filling is significant, which can provide a reference for operators.
本文构建了园区级综合能源系统的经济性、能效和环保性多目标优化模型。园区级综合能源系统包括冷热电联产、蓄热、换电池站、电动汽车、燃气锅炉、空调、光伏热电联产。以换电池站、电动汽车、空调为主体实施一体化需求响应。以用能效率作为能效优化指标,以污染物排放处理成本作为环保评价指标。本文所建立的模型可以用Cplex进行求解。最后,通过算例分析了不同需求响应综合实施方案对系统运行的影响。结果表明,该模型能兼顾系统运行的经济性、节能性和环保性,调峰填谷效果显著,可为运营者提供参考。
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引用次数: 1
Research on the Voltage Distribution and Short Circuit Features of Distribution Network with High Level of Clean Energy Penetration 清洁能源高渗透配电网电压分布及短路特性研究
Pub Date : 2021-07-18 DOI: 10.1109/ICPSAsia52756.2021.9621489
Jiuyang Jin, Huijuan Xu, Hong Tian, Li’an Chen, Jianbin Zeng, Ji Zhang
Based on the model building of doubly fed induction generation (DFIG) system and photovoltaic (PV) power generation system together with their grid-connection control system and 2 typical structures of power distribution system, i.e. radial structure and tree structure, digital simulations with various penetration levels were performed in the Real Time Digital Simulator (RTDS). The results indicate that the influence of the clean energy power source on the radial structure was the largest; voltage was increased in the PV power injected circuit, but decreased in the wind power injected circuit without reactive power compensation; and the variation is not linear with the penetration. As to the short circuit fault performance, short circuit current provided by the PV power system was low but rich in harmonics at 10$^{th}$ order and above; while the DFIG wind power generator performance was similar to synchronous AC source. However, there was transient surge in both current and voltage at the elimination of fault, imposing attention to the design of equipment insulation and power distribution system structure.
在建立双馈感应发电(DFIG)系统和光伏发电(PV)系统及其并网控制系统模型和两种典型配电系统结构(径向结构和树形结构)的基础上,在实时数字模拟器(RTDS)中进行了不同渗透水平的数字仿真。结果表明:清洁能源动力源对径向结构的影响最大;无功补偿时,光伏回注电压升高,风电回注电压降低;这种变化与穿透程度并不是线性的。在短路故障性能方面,光伏发电系统提供的短路电流较小,但在10$^{th}$阶及以上的谐波较多;而DFIG风力发电机的性能与同步交流电源相似。但在故障消除时,电流和电压均存在暂态浪涌,设备绝缘和配电系统结构的设计需要引起重视。
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引用次数: 0
Exploring Integrated Demand Elasticity for Market Power Mitigation 探索整合需求弹性以缓解市场力量
Pub Date : 2021-07-18 DOI: 10.1109/ICPSAsia52756.2021.9621721
Qi An, Jianxiao Wang, Q. Xia, Gengyin Li, Ming Zhou, Zhenyu Chen, Xiaoquan Lu
In the deregulated markets across the world, the marginal pricing (MP) mechanism is widely adopted. However, this mechanism is known to lose market efficiency when units exercise market power to earn more profits. Most of the existing literature focuses on the design of incentive-compatible market mechanism or market regulation policy to mitigate market power for generation. In this paper, we first explore the role of integrated demand elasticity for market power mitigation. A bi-level optimization framework of integrated demand response (IDR) is developed considering the complementary of energy conversion. On the first level, an economic dispatch model is formulated aiming to minimize the total costs of electric power system operation. On the second level, an IDR model is developed, which enables energy users to flexibly switch the source of consumed energy, including natural gas and hydrogen, etc. We propose a solution algorithm that converts the bi-level model into a single-level optimization model by using Karush-Kuhn-Tucker (KKT) conditions. Then the mixed-integer linear programming model can be embedded in the economic dispatch model. Case studies based on the IEEE 30-bus system demonstrate that IDR can significantly improve demand elasticity, and thus effectively mitigate the strategic incentive of thermal generators.
在世界各国解除管制的市场中,边际定价(MP)机制被广泛采用。然而,当单位为了赚取更多的利润而行使市场权力时,这种机制就会失去市场效率。现有文献大多侧重于设计激励相容的市场机制或市场监管政策,以缓解发电的市场力量。本文首先探讨了综合需求弹性在市场力缓解中的作用。考虑能源转换的互补性,提出了综合需求响应(IDR)的双层优化框架。首先,建立了以电力系统运行总成本最小为目标的经济调度模型;第二层是建立IDR模型,使能源用户能够灵活切换所消耗能源的来源,包括天然气和氢气等。本文提出了一种利用KKT条件将双层优化模型转化为单层优化模型的求解算法。然后将混合整数线性规划模型嵌入到经济调度模型中。基于IEEE 30总线系统的案例研究表明,IDR可以显著提高需求弹性,从而有效缓解火力发电机组的战略激励。
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引用次数: 0
The Impact of Industrial Structure Adjustment on Economic Growth under the Background of Energy Internet 能源互联网背景下产业结构调整对经济增长的影响
Pub Date : 2021-07-18 DOI: 10.1109/ICPSAsia52756.2021.9621404
Jiaxin Zhao, Xing Wang, Weikang Li, M. Zeng, Yongli Wang, Chenjun Sun
This paper explores the impact of the global energy Internet on the energy industrial structure and then on the industrial structure, establishes a dynamic relationship model between industrial structure adjustment and economic development, and analyzes the promoting effect of industrial development on economic growth. The results show that the output value of the tertiary industry has the strongest pulling effect on the economy, followed by the primary industry, and the first industry is the weakest Economic development is affected by industrial structure. Global energy Internet can promote industrial upgrading, adjust industrial structure, and realize economic benefits.
本文探讨了全球能源互联网对能源产业结构的影响,进而对产业结构的影响,建立了产业结构调整与经济发展的动态关系模型,分析了产业发展对经济增长的促进作用。结果表明,第三产业产值对经济的拉动作用最强,其次是第一产业,第一产业最弱,经济发展受产业结构的影响。全球能源互联网可以促进产业升级,调整产业结构,实现经济效益。
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引用次数: 0
The Design of Cyber-Physical Simulation Platform for Steam Turbine 汽轮机网络物理仿真平台的设计
Pub Date : 2021-07-18 DOI: 10.1109/ICPSAsia52756.2021.9621707
Anming Tang, Yu-Shen Shen, Yunyun Xie, Sisi Liu
Steam turbine is the key part of power plant, which is related to the secure and stable operation of generator. With the development of information and communication technology, the steam turbine of power plant has been developed into cyber-physical system (CPS). Existing simulation platforms of steam turbine focus on physical system, which are usually based on single software platform. Since existing simulation platforms simplify communication part of digital electro-hydraulic (DEH) control system, they cannot simulate the scenarios with communication. Therefore, a cyber-physical platform of steam turbine is proposed in this paper, which takes the communication part of DEH control system into account. The physical part of steam turbine is established in Matlab/Simulink, the DEH control system of steam turbine is operated in Beckhoff embedded controller, and cyber part of steam turbine is built by the communication between Matlab and embedded controller with TCP/IP and ads protocol. Finally, the cyber-physical platform of steam turbine is tested under start-up and grid-connected operation conditions to verify its effectiveness and real-time capability. The platform is envisioned as a tool to help steam turbine researchers with the study of relevant problems such as verifying performance of speed control schemes and carrying out cyber security tests of steam turbine.
汽轮机是发电厂的关键部件,它关系到发电机的安全稳定运行。随着信息通信技术的发展,电厂汽轮机已发展成为信息物理系统(CPS)。现有的汽轮机仿真平台主要集中在物理系统上,通常基于单一的软件平台。由于现有仿真平台对数字电液控制系统的通信部分进行了简化,无法对具有通信的场景进行仿真。为此,本文提出了一种考虑DEH控制系统通信部分的汽轮机信息物理平台。汽轮机的物理部分在Matlab/Simulink中建立,汽轮机的DEH控制系统在倍福嵌入式控制器中运行,汽轮机的网络部分通过Matlab与嵌入式控制器之间的TCP/IP和ads协议通信建立。最后,对汽轮机网络物理平台在启动和并网工况下进行了测试,验证了其有效性和实时性。该平台被设想为帮助汽轮机研究人员研究相关问题的工具,例如验证转速控制方案的性能以及进行汽轮机的网络安全测试。
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引用次数: 0
Optimal Electric Bus Fleet Charging Scheduling Considering Passenger Flow 考虑客流的最优电动公交车队充电调度
Pub Date : 2021-07-18 DOI: 10.1109/ICPSAsia52756.2021.9621632
Jinran Guo, Zhaohao Ding, K. Yu, Fei Tang
Transportation electrification has played an important role in reducing CO2 emissions and mitigating environmental problems. Meanwhile, battery electric buses (BEBs) are growing rapidly due to their energy conservation and quietness. This paper presents a battery electric bus fleet charging scheduling method to optimize the operation of BEBs. According to the total cost minimization of BEB fleets, a charging load management method is proposed to optimize the spatial-temporal distribution of BEB charging load. Besides, we consider the influence of passenger flow and road condition on the power and transportation system, which greatly affect the real travel and charging behavior of BEBs. In addition, several cases are designed to estimate the performance of BEB charging scheduling model. The results verify the effectiveness of BEB fleet charging management scheme.
交通电气化在减少二氧化碳排放和缓解环境问题方面发挥了重要作用。与此同时,纯电动公交车(beb)因其节能和安静而迅速发展。本文提出了一种纯电动公交车队充电调度方法,以优化电动公交车的运行。从电动汽车总成本最小化的角度出发,提出了一种电动汽车充电负荷管理方法,以优化电动汽车充电负荷的时空分布。此外,我们还考虑了客流和道路状况对电力和交通系统的影响,这些因素对电动汽车的实际出行和充电行为有很大的影响。此外,还设计了几个实例来评估BEB充电调度模型的性能。结果验证了电动汽车充电管理方案的有效性。
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引用次数: 1
Simulation and Deduction Technology for the Result of Spot Transactions for Cascade Hydropower Stations 梯级水电站现货交易结果的仿真与演绎技术
Pub Date : 2021-07-18 DOI: 10.1109/ICPSAsia52756.2021.9621541
Shuai Zhang, Shijun Chen, Guangwen Ma, Weibin Huang, Chunhua Tao, Yongfeng Zhang
In order to adapt to the process of constantly deepening China’s electricity market reform, this paper presents a simulation and deduction technology for the result of spot transactions for cascade hydropower stations. Combining with the market modes, transactions rules and scheduling, and production modes in Sichuan, China, the transaction results were simulated and deduced from four perspectives. Based on complex hydraulic and electric connections of cascade hydropower stations (CHSs), and multi-dimensional non-linear constraints, a simulation and deduction model for spot market transaction of CHSs was established and the block multi-sequential algorithm with specified outputs was designed for calculation. The results of spot transactions of eight CHSs in the Dadu River Basin in southwestern China on a certain day were selected for verification of this method. The calculated results show that the method proposed in this paper can identify the bidding risk in a spot transaction. It provides an assistant decision support for the declaration of the bidding in spot transactions of CHSs and satisfies the mode of production of market-based production in the prevailing electricity market environment.
为了适应中国电力市场化改革不断深化的进程,本文提出了梯级水电站现货交易结果的模拟与演绎技术。结合中国四川省的市场模式、交易规则与调度、生产模式,从四个角度对交易结果进行了模拟和推导。基于梯级水电站复杂的水电连接和多维非线性约束,建立了梯级水电站现货市场交易的仿真推导模型,设计了具有指定输出的分块多序贯算法进行计算。选取西南大渡河流域8个CHSs某一天的现货交易结果对该方法进行验证。计算结果表明,本文提出的方法可以有效地识别现货交易中的竞价风险。为CHSs现货交易竞价申报提供辅助决策支持,满足当前电力市场环境下市场化生产的生产方式。
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引用次数: 1
期刊
2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)
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