Browsing by Author "Ren, H."

Now showing 1 - 5 of 5
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    A Review of FACTS' Practical Consideration and Economic Evaluation
    (IEEE, 2009) Ren, H.; Watts Casimis, David; Mi, Z.; Lu, J.; Mi, Zengqiang; Lu, Jinling
    Flexible AC transmission systems (FACTS) and their controllers are of great interest today. FACTS controllers can offer great opportunities in modern power system, allowing better and safer operation of the grid. Their technical benefits are very well acknowledged, but there are some factors limiting the widespread of this technology: a) lack of a comprehensive consideration of FACTS for multiple operational problems and operational conditions, b) lack of economic assessment of FACTS projects for utilities and transmission entities [1] c) lack of a clear understanding of the options of devices and their configurations [1], and most importantly d) the high degree of uncertainty associated with the transmission system on the time scale that is needed to assess this kind of long-term projects. This paper gives a brief introduction of various FACTS devices and their controllers, main research methods. We mainly provide a survey of FACTS' economic assessment method proposed so far. We conclude that there is a huge literature body of technical benefits associated with FACTS targeting on single operational problems, but limited work on addressing their practical application considerations, and economic evaluation, offering great research opportunities.
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    Influence of Electric Vehicles on Distribution Network under Aggregator Management
    (IEEE, 2018) Chen, J.; Ren, H.; Jiang, H.; Watts Casimis, David; Wu, Y.; Qi, Z.
    Due to low pollution and energy consumption characteristics, Electric vehicles (EVs) occupy the automotive industry market gradually. However, its special demand for electric energy sources brings new challenges to system load allocation and line margins. The comprehensive models that takes its randomness, management structure and control system into account are the focus of this paper in order to study the influence of charging EV on the distribution network. Firstly, using the mathematical probability distribution to describe user's behavior, this paper establishes the EV time scale model and Aggregator quantity selection model. Secondly, according to IEEE 123 Test Feeder system, the effect of Aggregator's number on the distribution network load curve is proposed. Lastly, based on 12 EV Aggregators in a certain area of Shijiazhuang City, Hebei, the analysis result, Aggregator `s influence on the electrical quantity of distribution network each node in different integration locations, is given.
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    Multi-Dimensional Indexes for the Sustainability Evaluation of an Active Distribution Network
    (2019) Sun, C.J.; Mi, Z.Q.; Ren, H.; Jing, Z.P.; Lu, J.L.; Watts Casimis, David
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    On Aggregator's Demand Response Capability with Consideration of EV Battery's SOH
    (IEEE, 2018) Jing, Z.; Ren, H.; Hu, S.; Wang, Y.; Watts Casimis, David; Yuan, B.
    The electric vehicle (EV), when aggregated by an agent (Aggregator), is a suitable candidate for participating demand response in power system operation. This paper proposes a method for the calculation of the optimal charging and V2G decision through aggregator with consideration of the trade-off between EV users' charging willingness and cost, and trade-off between the capacity loss and revenue due to V2G. Following this optimal decision, EV users' charging/V2G capacity can be well predicted in advance. However, if EV users' order at aggregators can be 100% fulfilled depends on the facility level and technology of aggregators. Moreover, the aggregators' DR capability is also affected by the sitting of aggregator because of the driving behavior of EVs. In this paper, aggregator's DR capacity is studied under multiple scenarios with different facility conditions, different technologies (V2V) through a test case including 2 aggregators in business area and residential area respectively. Along the increasing of the no. of charging/discharging piles, aggregators' DR capability is increasing. There is an upper limit on its facility level due to the size of the EVs users group, above which, investment on piles is unnecessary. DR capabilities of aggregators at different locations are correlated when serving the same group of EV users because EV users are pursuing benefit maximization.
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    The long-term effect of incentives on the development of DGPV considering the interaction among DGPVs' investors and distribution system
    (IEEE, 2017) Sun, C.; Ren, H.; Mi, Z.; Li, K.; Watts Casimis, David; Zhou, J.
    The paper proposes a simulation method to study the long-term effect of incentives on the development of DGPV by considering the interaction among investors and the distribution network. An investment model of DGPV is proposed to study the investment capacity affected by state subsidy, subsidy from distribution network depending on the benefit from integration, and the population and the income level of the city. The simulation is performed based on the weather condition and population of Beijing area scaled according to the IEEE-13 test system. Simulation results show that under the current benefit structure, in order to reach the same effect of the state subsidy on the development of DGPV in 10 years, the subsidy from distribution system can only replace 52% of the state subsidy, and it can only be effective after the integration capacity of DGPV reaches a certain scale.