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RISS 인기검색어
- 검색키워드
- 저자 : Muhammad Kashif Rafique (검색결과 4 건)
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Water-filling algorithm based approach for management of responsive residential loads
HAIDER, Zunaib Maqsood,MEHMOOD, Khawaja Khalid,RAFIQUE, Muhammad Kashif,KHAN, Saad Ullah,LEE, Soon-Jeong,KIM, Chul-Hwan Springer Nature 2018 Journal of modern power systems and clean energy Vol.6 No.1
<P>Integration of large number of electric vehicles (EVs) with distribution networks is devastating for conventional power system devices such as transformers and power lines etc. This paper proposes a methodology for management of responsive household appliances management and EVs with water-filling algorithm. With the proposed scheme, the load profile of a transformer is retained below its rated capacity while minimally affecting the associated consumers. When the instantaneous demand at transformer increases beyond its capacity, the proposed methodology dynamically allocates demand curtailment limit (DCL) to each home served by transformer. The DCL allocation takes convenience factors, load profile and information of flexible appliances into account to assure the comfort of all the consumers. The proposed scheme is verified by modeling and simulating five houses and a distribution transformer. The smart appliances such as an HVAC, a water heater, a cloth dryer and an EV are also modeled for the study. Results show that the proposed scheme performs to reduce overloading effects of the transformer efficiently and assures comfort of the consumers at the same time.</P>
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Mehmood, Khawaja Khalid,Khan, Saad Ullah,Lee, Soon-Jeong,Haider, Zunaib Maqsood,Rafique, Muhammad Kashif,Kim, Chul-Hwan Elsevier 2018 International journal of electrical power energy s Vol.94 No.-
<P><B>Abstract</B></P> <P>The progression towards smarter grids, incorporating clean energy resources, has increased the integration of distributed generators (DGs) into power distribution networks. The DGs often cause a rise in voltage at their points of common coupling. Ordinary voltage regulation devices such as on-load tap changers (OLTCs) are not capable of addressing these issues adequately without careful coordination with DGs. In this paper, a new supervisory control and data acquisition-based two-stage voltage control scheme for the coordination of an OLTC transformer, capacitor banks (CBs) and the DGs is presented. The proposed scheme sets forth a new criterion for the selection of tap positions of an OLTC. In the first stage, tap positions of the OLTC are changed optimally using the micro genetic algorithm, whereas in the second stage, a recursive genetic algorithm is run to minimise the power losses in order to find the optimal reactive powers for the distribution network. Stochastic modelling of wind speed and solar irradiance data is also performed. The scheme is verified by studying it under four different test cases. An OLTC, CBs, photovoltaic panels, wind power DGs and dispatchable DGs are installed in the distribution network, and an IEEE 37-node test feeder is used for the verification of the proposed scheme. The simulation results show that the scheme achieves the objective of voltage regulation.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A real-time voltage regulation scheme for active distribution networks is proposed. </LI> <LI> Online coordination between an OLTC, capacitor banks and DGs is proposed. </LI> <LI> Real world wind speed and solar irradiance data modellings are taken into account. </LI> <LI> The proposed scheme enhances the voltage quality. </LI> </UL> </P>
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Decentralized Demand Response Architecture for Energy Management of Residential Consumers
Zunaib Maqsood Haider,Khawaja Khalid Mehmood,Saad Ullah Khan,Muhammad Kashif Rafique,Chul-Hwan Kim 한국조명·전기설비학회 2017 조명·전기설비학회논문지 Vol.31 No.10
Due to the current alarming conditions regarding environmental pollution and growing energy crisis, electric vehicles (EVs) are gaining popularity across the world. According to one estimation [1], there will be 20 million EV fleets on the road by 2020 and that the aggregated sale of EVs will rise to 5.9 million. Integration of large number of EVs to the distribution network will pose serious threats in terms of the reliability and stability of the power system. In order to mitigate the adverse effects on the power system, this paper proposes an approach for the management of EV charging along with smart home load management (SHLM) systems by using a water-filling (WF) algorithm. The proposed framework ensures that the instantaneous load at a distribution transformer is restrained below its rated capacity while consumer preferences are taken into account. In the case that the instantaneous demand increases beyond the transformer capacity, the proposed framework allocates a demand restraining limit (DRL) to each home associated with the transformer. The allocation of the DRL is dynamic and based on the consideration of the convenience factor, demand profile and characteristics of the flexible appliances of all the consumers. The performance of the proposed plan is verified by considering a network consisting of a distribution transformer and five homes.
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Saad Ullah Khan,Khawaja Khalid Mehmood,Soon-Jeong Lee,Zunaib Maqsood Haider,Muhammad Kashif Rafique,Chul-Hwan Kim 한국조명·전기설비학회 2017 조명·전기설비학회논문지 Vol.31 No.9
Secure and continuous electric vehicle (EV) charging operation is a key concern for the safety of EVs and their reliable integration with the power grid. During a lightning incident on the distribution network, the security of integrated EVs is threatened. Lightning overvoltages can be damaging for the EVs, resulting in huge repair costs. Thus, it is necessary that the feeder is provided with lightning protection for the safe integration of EVs. This paper has analyzed direct lightning overvoltages on IEEE 13-node distribution feeder with and without surge arrester protection. The system overvoltages are evaluated on primary distribution nodes, which are the prospective locations for EV connection. Results show the importance of lightning protection of the feeder for EV integration.
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