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2014 Smart Grid Conference (SGC)最新文献

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A new control method for improving transient response of parallel VSIs in islanded microgrids 一种改善孤岛微电网并联vsi暂态响应的新控制方法
Pub Date : 2014-12-01 DOI: 10.1109/SGC.2014.7151039
A. A. Khodadoost Arani, G. Gharehpetian
Recently voltage source inverters have played an important role in stability of Microgrids (MGs). These inverters are controlled by droop control method. This method has several advantages such as using of local signals and satisfying steady state behavior of VSIs. But in transient, inverters have unbalanced power sharing and consequently circulating current flows between them. This current without feeding load flows and causes losses. In this paper for eliminating these problems, a new method based on conventional droop method is presented. This new method uses absolute value of current signal only and replacing LPF by a DC Mean Block. To compare two methods, a system with two parallel inverters is simulated in MATLAB. Comparison between Results of two methods shows effectiveness of proposed method in improvement of VSIs' behavior in transient response.
近年来,电压源逆变器在微电网稳定中发挥着重要作用。这些逆变器采用下垂控制方法进行控制。该方法具有利用局域信号和满足vsi稳态特性等优点。但在暂态情况下,逆变器的功率分配不平衡,导致逆变器之间存在循环电流。这种电流在没有馈电负载的情况下流动并造成损耗。为了消除这些问题,本文提出了一种基于传统下垂法的新方法。该方法仅利用电流信号的绝对值,用直流平均块代替LPF。为了比较这两种方法,在MATLAB中对两个并联逆变器的系统进行了仿真。两种方法的结果比较表明,所提方法在改善vsi的瞬态响应性能方面是有效的。
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引用次数: 9
Probabilistic optimal power dispatch in multi-microgrids using heuristic algorithms 基于启发式算法的多微电网概率最优电力调度
Pub Date : 2014-12-01 DOI: 10.1109/SGC.2014.7151035
N. Nikmehr, S. Najafi-Ravadanegh
Future distribution networks consist of some Micro grids (MGs) or Small Scale Energy Zones (SSEZs). In this paper the economic operation of SSEZs is formulated and solved as an optimization problem. A probabilistic model for Small Scale Energy Resources (SSERs) and load demand is used at each SSEZs to determine the optimal scheduling of microgrids with minimum operating cost. The power transaction between MGs and between MGs and the main is regulated based on the total operating cost and regarding the sold or purchase power either by microgrids or by main grid. The stochastically analysis of generated power with SSERs and their corresponding costs is determined considering optimization constraints and explained as PDF and CDF. The Imperialist Competitive Algorithm (ICA) and Particle Swarm Optimization (PSO) algorithm are applied to comparative study of the results as optimization algorithms. Based on the results, it is possible to determine the power demand and transaction between each SSEZs and the main grid. Besides, the results confirm that the power sharing between microgrids and main grid can decrease the operating cost of the smart distribution grids.
未来的配电网由微电网(MGs)或小规模能源区(SSEZs)组成。本文将经济特区的经济运行表述为一个优化问题。利用小尺度能源和负荷需求的概率模型,确定微电网运行成本最小的最优调度方案。微电网与主电网之间、主电网与主电网之间的电力交易是根据总运营成本以及微电网或主电网出售或购买的电力进行调节的。考虑优化约束,确定SSERs发电功率及其成本的随机分析,并将其解释为PDF和CDF。将帝国主义竞争算法(ICA)和粒子群优化算法(PSO)作为优化算法对结果进行比较研究。根据计算结果,可以确定各区域经济特区与主电网之间的电力需求和交易情况。此外,研究结果还证实了微电网与主电网之间的电力共享可以降低智能配电网的运行成本。
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引用次数: 13
Decentralized control for optimal voltage regulation in smart distribution grids 智能配电网最优电压调节的分散控制
Pub Date : 2014-12-01 DOI: 10.1109/SGC.2014.7150700
Leila Rashidi, J. Moshtagh, Vahid Maleki Meiabady
Voltage control is one of the most important issues in smart grids. Using the communication infrastructure and management that created in smart grids, end-user reactive power capable device can be coordinated for voltage support. Application and implementation of smart grids cause a fundamental change in the methods of reducing and eliminating voltage issues in distribution grids. Due to increasing role of Distributed Generations in distribution grids, by using traditional control methods, voltage issues cannot be improved desirably. In this paper a decentralized control scheme is proposed to control voltage in distribution grids. In this decentralized method, each network bus is equipped with a sensor and an oscillator to measure required parameters. It is shown that by using local coupling method, one can design the network without the need for a central controller. Genetic Algorithm is used as optimization method aimed at identifying the optimal asset of the voltage controllers. To verify the method, it is applied on the IEEE 33- bus system (unbalanced case).
电压控制是智能电网的重要问题之一。利用智能电网中创建的通信基础设施和管理,最终用户无功功率设备可以协调电压支持。智能电网的应用和实施使配电网降低和消除电压问题的方法发生了根本性的变化。随着分布式电源在配电网中的作用日益增强,采用传统的控制方法无法很好地改善电压问题。本文提出了一种分散控制配电网电压的方案。在这种分散的方法中,每个网络总线配备一个传感器和一个振荡器来测量所需的参数。结果表明,采用局部耦合方法可以在不需要中央控制器的情况下设计网络。采用遗传算法作为优化方法,确定电压控制器的最优资产。为了验证该方法的有效性,将其应用于IEEE 33总线系统(不平衡情况)。
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引用次数: 4
Enhancement of self-healing property of smart grid in islanding mode using electric vehicles and direct load control 利用电动汽车和直接负荷控制增强孤岛模式下智能电网的自愈性能
Pub Date : 2014-12-01 DOI: 10.1109/SGC.2014.7090860
Seyed Mohsen, Mohammadi Hoseini Nezhad, A. Fereidunian, H. Lesani, Mirjavad Hashemi Gavgani
Power system reliability enhancement is one of the main goals pursued by making the systems smart. Self-healing, which includes fault detection, fault isolation, reconfiguration and service restoration, is the most notable feature of the smart grids in this regards. Increased penetration of distributed generation sources in power grids has even more facilitated the service restoration process. Onn the other hand, the significant progress in the technologies used in battery manufacturing has economically justified the utilization of electric vehicles in the improvement of system reliability. Nevertheless, in order to optimally make use of plug-in hybrid electric vehicles, their owner behavior should be properly modelled in the first place. In this paper stochastic nature of electric vehicle's behavior is modelled and the parking lots needed for self-healing in the islanding situation are optimally placed in the power grid. The proposed method is experimented on a 35-bus system. The results of simulation reveal that optimal usage of electric vehicles has notable effect on the improvement of system self-healing in islanding mode which consecutively results in the enhancement of power system reliability.
提高电力系统可靠性是电力系统智能化的主要目标之一。自修复是智能电网在这方面最显著的特点,包括故障检测、故障隔离、重构和业务恢复。分布式发电电源在电网中的渗透程度越来越高,这更促进了服务恢复过程。另一方面,电池制造技术的重大进步在经济上证明了在提高系统可靠性方面使用电动汽车是合理的。然而,为了充分利用插电式混合动力汽车,首先应该对车主的行为进行适当的建模。本文对电动汽车行为的随机性进行了建模,并在电网中对孤岛状态下自愈所需的停车场进行了优化配置。该方法在35总线系统上进行了实验。仿真结果表明,电动汽车的优化使用对孤岛模式下系统自愈能力的提高有显著的作用,进而提高了电力系统的可靠性。
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引用次数: 21
Placement of PMUs in HVDC connected networks considering voltage stability requirements 考虑电压稳定性要求的高压直流连接网络中pmu的放置
Pub Date : 2014-12-01 DOI: 10.1109/SGC.2014.7151036
M. Dalali, H. Kargar
Optimal PMU placement (OPP) is often done for full observability of network with minimum number of PMUs and maximum redundancy. On the other hand, placement of PMUs at HVDC connected buses is necessary for estimation of voltage stability margin. In this paper, OPP is done to achieve all of above goals. Binary integer linear programming (BILP) is used as solver algorithm, due to linear and binary characteristics of problem. OPP is tested on IEEE 14-bus test system and impact of HVDC location is studied on the number of required PMUs. Finally, different contingencies consist of single PMU failure, single line outage and occurrence of simultaneous events are presented in the paper.
最优PMU配置(OPP)通常是为了在最小PMU数量和最大冗余的情况下实现网络的完全可观察性。另一方面,在高压直流连接母线上放置pmu对于估计电压稳定裕度是必要的。本文采用OPP来实现上述目标。由于问题的线性和二进制特性,采用二进制整数线性规划(BILP)作为求解器算法。在IEEE 14总线测试系统上对OPP进行了测试,研究了高压直流位置对所需pmu数量的影响。最后,本文给出了由单个PMU故障、单线中断和同时发生事件组成的不同偶然性。
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引用次数: 0
Optimal parking lot placement considering operational and security limitations using COA 考虑运营和安全限制,使用COA优化停车场布局
Pub Date : 2014-12-01 DOI: 10.1109/SGC.2014.7150702
Tohid Shekari, A. Gholami, F. Aminifar
Transportation and electricity industries are known as the major sources of greenhouse gas emissions. Integration of electric vehicles (EVs) into the power network can considerably reduce the emission, for which transport is the fastest-growing emission sector. Moreover, gridable vehicles (GVs), i.e., EVs with vehicle-to-grid capability, can help to level the load profile by acting as loads, energy sources, and energy storage in smart grids. However, it is important to scrutinize the impacts of these vehicles by considering the operating and security constraints simultaneously. In this study, three different scenarios of EV integration are applied to a 9-bus test system. In each scenario, power losses, reliability, voltage profile, and load profile are analyzed comprehensively. In addition, the optimal size and location of parking lots are determined. The cuckoo optimization algorithm (COA) with high ability to find the best result, is applied to solve the mentioned nonlinear problem.
众所周知,交通运输和电力行业是温室气体排放的主要来源。将电动汽车(ev)纳入电网可以大大减少排放,其中交通运输是排放增长最快的行业。此外,可电网车辆(gv),即具有车辆到电网功能的电动汽车,可以通过在智能电网中充当负载、能源和储能来帮助平衡负载。然而,通过同时考虑操作和安全约束来仔细审查这些车辆的影响是很重要的。在本研究中,三种不同的电动汽车集成场景应用于9总线测试系统。在每个场景中,对功率损耗、可靠性、电压分布和负载分布进行了综合分析。此外,还确定了停车场的最优大小和位置。布谷鸟优化算法(COA)具有较强的寻优能力,可用于解决上述非线性问题。
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引用次数: 5
Simulating and analysis of cyber attacks on a BLPC network 基于BLPC网络的网络攻击仿真与分析
Pub Date : 2014-12-01 DOI: 10.1109/SGC.2014.7150704
Amin Danandeh Hesar, Mahmoud Ahmadian Attari
In this paper, at first, the main vulnerability of a BPLC network in the cyberspace of a home-area section is introduced. Then, we simulate several cyberattacks using a modified version of a NSL-KDD dataset that is applicable in any desired BPLC network. The nodes are mainly metering and controlling devices that handle the consumed Internet traffic plus electricity bill. The communicational protocol for our network is IEEE 1901 which is a standard protocol among broadband communication devices that work in a BPLC network. In the main part of our simulations, we have benefited from three types of Intrusion Detection Systems (IDS) using two Artificial Immune System (AIS) algorithms as well as an algorithm based on Support Vector Machines (SVM). At the end of our simulations, we compare these three Intrusion Detection Systems according to FPR, FNR, and DR criteria. Simulation results show that with our modified dataset and methods we can ensure a pretty high accuracy in intrusion detection and prevention in the home area of a desired BPLC network.
本文首先介绍了家庭区域网络空间中BPLC网络的主要漏洞。然后,我们使用NSL-KDD数据集的修改版本模拟了几种网络攻击,该数据集适用于任何期望的BPLC网络。节点主要是计量和控制设备,处理已消耗的互联网流量和电费。我们网络的通信协议是IEEE 1901,这是在BPLC网络中工作的宽带通信设备之间的标准协议。在我们的模拟的主要部分,我们受益于三种类型的入侵检测系统(IDS),使用两种人工免疫系统(AIS)算法以及基于支持向量机(SVM)的算法。在仿真的最后,我们根据FPR、FNR和DR标准对这三种入侵检测系统进行了比较。仿真结果表明,利用改进的数据集和方法,我们可以保证在理想的BPLC网络的主区域进行相当高的入侵检测和防御精度。
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引用次数: 1
Demand response-based voltage security improvement using artificial neural networks and sensitivity analysis 基于需求响应的电压安全改进的人工神经网络和灵敏度分析
Pub Date : 2014-12-01 DOI: 10.1109/SGC.2014.7090863
Mirjavad Hashemi Gavgani, M. Abedi, F. Karimi, M. Aghamohammadi
As a precautionary remedy, load shedding has always been regarded as a strong choice when facing a voltage collapse. On the other hand, Demand Response (DR) is often an interactive communication which highlights customer's participation, more often in smart grid technologies. Moreover, DR plan is introduced as an appropriate choice when system Voltage Stability is jeopardized. In this paper, a new approach for improving voltage security is brought up using DR plan, sensitivity analysis and neural network which is accentuated by its super-fast processing. Since different load patterns result in different Pmax and PV curve, a unique way of DR units participation is explored in which the optimum load decrease pattern and consequently the optimum VSM improvement are met when the least amount of DR units participation is employed, In this research, IEEE 39-BUS power grid is selected as the case study, and PV curve method is used for voltage seeurity analysis. Then MLP ANNs are used to speed up the calculations during the system operation.
作为一种预防性补救措施,减载一直被认为是面对电压崩溃时的一种强有力的选择。另一方面,需求响应(DR)通常是一种强调客户参与的交互式通信,在智能电网技术中更为常见。在系统电压稳定性受到威胁时,引入了容灾方案。本文提出了一种利用DR计划、灵敏度分析和神经网络来提高电压安全性的新方法,并以其超快的处理速度为重点。由于不同的负荷模式导致不同的Pmax和PV曲线,因此探索了一种独特的DR机组参与方式,即在使用最少的DR机组参与时,满足最优的负荷下降模式,从而实现最优的VSM改进。本研究以IEEE 39-BUS电网为例,采用PV曲线法进行电压安全性分析。然后在系统运行过程中使用MLP神经网络来加快计算速度。
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引用次数: 5
Stability analysis of networked control systems with generalized nonlinear perturbations 广义非线性摄动网络控制系统的稳定性分析
Pub Date : 2014-12-01 DOI: 10.1109/SGC.2014.7150710
R. Safari, B. Tavassoli
In this paper, the problem of stability analysis of networked control systems with multiple communication channels, time-varying delays and generalized nonlinear perturbations is addressed. By applying Lyapunov-Krasovskii functional and by exploiting Newton-Leibniz formula and some free-weighting matrices, a new sufficient delay dependent criteria is established for checking the asymptotical stability of the considered system in the linear matrix inequality (LMI) framework. Via available software packages, the obtained LMI is easy to implement and verify. In addition, a numerical example is presented to indicate the effectiveness of the proposed criteria.
研究了具有多信道、时变时滞和广义非线性摄动的网络控制系统的稳定性分析问题。利用Lyapunov-Krasovskii泛函,利用Newton-Leibniz公式和一些自由加权矩阵,建立了线性矩阵不等式(LMI)框架下被考虑系统渐近稳定性检验的一个新的充分时滞相关判据。通过可用的软件包,得到的LMI易于实现和验证。最后,通过数值算例验证了所提准则的有效性。
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引用次数: 7
Optimal scheduling of DERs in a micro-grid by considering CO2 emissions trade 考虑CO2排放交易的微电网der优化调度
Pub Date : 2014-12-01 DOI: 10.1109/SGC.2014.7151037
Reza Keypour, S. Bazyari
The micro-grid technology provides an effective technical approach for the new energy and renewable energy to grid-connect; however, the micro-grid optimal operation is one of the most important and difficult studies. The implementation in CO2 Emissions Trade provides favorable conditions for micro-grid operating economically. In order to analyze the effects of CO2 Emissions Trade on grid-connected micro-grid, CO2 Emissions Trade is taken into account to build an optimal operation model of micro-grid. The modified Artificial Fish Swarm Algorithm (AFSA) has been issued to solve the model based on the target, the lowest totally economic cost. The results of the simulation on typical micro-grid show that the model is suitable to solve micro-grid parallel running, and more important, the CO2 Emissions Trade can significantly improve the economics of micro-grid.
微电网技术为新能源和可再生能源并网提供了有效的技术途径;然而,微电网优化运行问题一直是微电网优化研究的重点和难点之一。二氧化碳排放权交易的实施为微电网经济运行提供了有利条件。为了分析二氧化碳排放权交易对并网微网的影响,考虑二氧化碳排放权交易,建立微网最优运行模型。提出了一种改进的人工鱼群算法(Artificial Fish Swarm Algorithm, AFSA),以总经济成本最低为目标求解模型。对典型微电网的仿真结果表明,该模型适用于解决微电网并网运行问题,并且CO2排放权交易能够显著提高微电网的经济性。
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引用次数: 2
期刊
2014 Smart Grid Conference (SGC)
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