2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)最新文献

An optimization model of EVs charging and discharging for power system demand leveling 基于电力系统需求均衡的电动汽车充放电优化模型

2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2016-12-09 DOI: 10.1109/APPEEC.2016.7779613

Guanhao Du, W. Cao, Jin Yang, Bowen Zhou

引用次数: 4

Electric Vehicle charging management algorithm for a UK low-voltage residential distribution network 英国低压住宅配电网电动汽车充电管理算法

2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2016-12-09 DOI: 10.1109/APPEEC.2016.7779489

Z. Qiao, Jin Yang

{"title":"Electric Vehicle charging management algorithm for a UK low-voltage residential distribution network","authors":"Z. Qiao, Jin Yang","doi":"10.1109/APPEEC.2016.7779489","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779489","url":null,"abstract":"The integration of Electric Vehicles (EVs) into low-voltage (LV) residential distribution networks inevitably increases the overall demand, especially peak demand, which may cause thermal or voltage issues. In this paper, a 400V practical residential distribution network is modelled and used to quantify these impacts due to the growing penetration of EVs. Residential load profiles in 1-minute resolution and EV charging profiles with recorded State of Charge (SOC) are randomly and statistically created. Then, a simple charging management algorithm with locally made decision is suggested at EV users' charging points. Results prove that this approach can mitigate the negative impacts of EV charging on network assets. Moreover, it can reduce EV users' electricity cost for charging based on existing UK electricity price scheme `Economy 7,' without compromising EV usage or substantial network infrastructure reinforcement or installation of extensive monitor, control and communication system. The simulation models and analysis are implemented in MATLAB/OpenDSS as an LV distribution network simulation platform.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123437465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Estimating the price elasticity of residential power demand using a bottom-up approach 用自下而上的方法估计居民用电需求的价格弹性

2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2016-10-01 DOI: 10.1109/APPEEC.2016.7779505

Meng Song, M. Amelin

引用次数: 5

Negative effect and principle of TCSC to traditional emergency control TCSC对传统应急控制的负面影响及原理

2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2016-10-01 DOI: 10.1109/APPEEC.2016.7779875

Zhen Tan, Yabo Lv, Yanjun Wang, Jiangbo Luo, Wei Li, Xiaodan Cui

引用次数: 0

Cost compensation mechanism for high wind power integration considering demand respond 考虑需求响应的高风电并网成本补偿机制

2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2016-10-01 DOI: 10.1109/APPEEC.2016.7779718

Xuechun Wang, Hongkun Chen, Xin Jiang

{"title":"Cost compensation mechanism for high wind power integration considering demand respond","authors":"Xuechun Wang, Hongkun Chen, Xin Jiang","doi":"10.1109/APPEEC.2016.7779718","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779718","url":null,"abstract":"The rapid growth of wind energy is presenting great challenges to the traditional dispatch and control of power grid since the wind energy which has an adverse effect on peak regulation is intermittent, fluctuant and uncontrollable. To improve the consumption level of wind energy, this paper proposed a cost compensation mechanism to facilitate the demand side to participate in peak regulation when a large-scale wind power integrates into the grid. Firstly, the complementary relationship of the regenerative electric heating, plug-in electric vehicles and interruptible load in capacity and response characteristics has been analyzed. Based on the analysis, a stochastic unit commitment model with the demand side participant is established, which facilitates the consumption of wind energy. Based on the optimization results, cooperative game theory is introduced to propose the method to work out the allocation results of the demand side response compensation cost, which is based on Shapley value method. Calculation example demonstrates that the cost compensation mechanism facilitating the demand side's participation in the wind power consumption is effective, namely reducing the operation cost of thermal power units while maximizing the flexibility of the demand side and the consumption of the wind energy.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116783326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Study on the data synchronization mechanism of Dispatcher Training Simulator 调度员训练模拟器数据同步机制研究

2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2016-10-01 DOI: 10.1109/APPEEC.2016.7779763

Weizheng Gong, Zhaoqiang Ge, Wen-hui Zhao

{"title":"Study on the data synchronization mechanism of Dispatcher Training Simulator","authors":"Weizheng Gong, Zhaoqiang Ge, Wen-hui Zhao","doi":"10.1109/APPEEC.2016.7779763","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779763","url":null,"abstract":"With the development of electrical power automation, the relationship of DTS (Dispatcher Training Simulator), which is a non-real time system, with real-time dispatching and control system becomes closer than ever before. For enhancing the security of system operation, reducing the adverse effect of DTS data synchronization on the real-time system is necessary. Through exploration of data synchronization and modeling process in different contexts of DTS, potential dangerous factors that exist in the currently used DTS database are exposed. In light of the principle of secure partitioning, a new architecture of DTS is presented to separate the future mode and the real-time mode of DTS into two independent sub-systems. Graphs and models in each subsystem's database are maintained and modified respectively so as not to interfere with the real-time system. Analysis indicates that the influence of DTS on the realtime system can be reduced to a lower level by the proposed architecture, meanwhile, the modeling process in DTS is also simplified. The research findings enhance the security and reliability of DTS system as well as the real-time system.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117158484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

The analysis of frequency spectrum of oil pressure signal in transformer external fault 变压器外部故障中油压信号的频谱分析

2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2016-10-01 DOI: 10.1109/APPEEC.2016.7779765

Yiqi Dang, Z. Hao, Baohui Zhang, Zhengyuan Li, Hongxiang Xu, C. Yan, Wenzhe Chen, Xian Yang, Dan Zhou

引用次数: 0

Researches on the optimization model and strategies against low voltage in power distribution network 配电网低压优化模型及策略研究

2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2016-10-01 DOI: 10.1109/APPEEC.2016.7779902

Yang Hong, Gengfeng Li, Chenlin Gu, Fangdi Zeng, Shiyu Liu

引用次数: 2

Probabilistic load flow of islanded microgrid with droop-controlled distributed generations 具有下垂控制分布式代的孤岛微电网的概率潮流

2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2016-10-01 DOI: 10.1109/APPEEC.2016.7779562

Z. Pan, Meng Shi, Yanlin Wu, Jian Liu, Xiangqian Tong

引用次数: 8

Robust OPF considering load and renewable power uncertainties in multi-terminal HVDC grids 考虑负荷和可再生能源不确定性的多端高压直流电网鲁棒OPF

2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2016-10-01 DOI: 10.1109/APPEEC.2016.7779463

Wang Zhang, Xu Yan, Z. Dong, K. Meng, Rui Zhang

引用次数: 5