The Experts below are selected from a list of 106224 Experts worldwide ranked by ideXlab platform
Mohamed Shaabanb - One of the best experts on this subject based on the ideXlab platform.
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Impact of Renewable Generation on voltage control in distribution systems
Renewable and Sustainable Energy Reviews, 2016Co-Authors: J. O. Petinrin, Mohamed ShaabanbAbstract:The high penetration of Renewable Generations in the distribution system (DS) has introduced more uncertainties and technical challenges in the operation of the grid-like voltage variation; degraded protection; altered transient stability; two-way power flow; and increased fault level. The reverse power flow due to high penetration of Renewable Generation may result to voltage rise which distribution network operators (DNOs) may not be able to control effectively. To that effect, this paper therefore reviews the impact of Renewable Generations such as solar photovoltaic (PV) and wind energy on distribution system with voltage control strategies. The work reveals that the application of smart grid technologies such as demand side integration (DSI) and energy storage (ES) mitigates voltage variation problems with minimum network reinforcement.
R A Jabr - One of the best experts on this subject based on the ideXlab platform.
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robust transmission network expansion planning with uncertain Renewable Generation and loads
IEEE Transactions on Power Systems, 2013Co-Authors: R A JabrAbstract:This paper presents a robust optimization approach for transmission network expansion planning (TNEP) under uncertainties of Renewable Generation and load. Unlike conventional stochastic programming, the proposed approach does not require knowledge of the probability distribution of the uncertain net injections; rather the uncertainties of the net injections are specified by a simple uncertainty set. The solution algorithm is exact and produces expansion plans that are robust against all possible realizations of the net injections defined in the uncertainty set; it is based on a Benders decomposition scheme that iterates between a master problem that minimizes the cost of the expansion plan and a slave problem that minimizes the maximum curtailment of load and Renewable Generation. The paper demonstrates that when adopting the dc load flow model, both the master and the dual slave can be formulated as mixed-integer linear programs for which commercial solvers exist. Numerical results on several networks with uncertainties in their loads and Renewable Generation show that the proposed approach produces solutions that are superior to those from two recent techniques for robust TNEP design.
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Robust Transmission Network Expansion Planning With Uncertain Renewable Generation and Loads
IEEE Transactions on Power Systems, 2013Co-Authors: R A JabrAbstract:This paper presents a robust optimization approach for transmission network expansion planning (TNEP) under uncertainties of Renewable Generation and load. Unlike conventional stochastic programming, the proposed approach does not require knowledge of the probability distribution of the uncertain net injections; rather the uncertainties of the net injections are specified by a simple uncertainty set. The solution algorithm is exact and produces expansion plans that are robust against all possible realizations of the net injections defined in the uncertainty set; it is based on a Benders decomposition scheme that iterates between a master problem that minimizes the cost of the expansion plan and a slave problem that minimizes the maximum curtailment of load and Renewable Generation. The paper demonstrates that when adopting the dc load flow model, both the master and the dual slave can be formulated as mixed-integer linear programs for which commercial solvers exist. Numerical results on several networks with uncertainties in their loads and Renewable Generation show that the proposed approach produces solutions that are superior to those from two recent techniques for robust TNEP design.
Fushuan Wen - One of the best experts on this subject based on the ideXlab platform.
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a decentralized distribution market mechanism considering Renewable Generation units with zero marginal costs
IEEE Transactions on Smart Grid, 2020Co-Authors: Jiajia Yang, Zhao Yang Dong, Fushuan Wen, Guo Chen, Yichen QiaoAbstract:A key feature of electricity Generation in a distribution network is manifested by Renewable Generation with zero marginal cost. Existing market mechanisms are likely to fail in supporting such decentralized transactions while providing a reasonable price signal to compensate for the investment cost of Renewable generators. Given this background, this paper first describes an average pricing market (APM) mechanism for pricing zero marginal cost Renewable Generation outputs in the distribution network. Then, a decentralized formulation of the APM mechanism is derived using the alternating direction method of multipliers (ADMM). Convergence of the decentralized mechanism can be guaranteed under some mild conditions for parameter setting. Finally, case studies are carried out to demonstrate the presented market mechanism. Simulation results show that the problem of always bidding a zero price by Renewable generators in some existing markets can be avoided. The presented method also provides a solution for organizing decentralized electricity transactions in the distribution network and can converge to similar results with those obtained by the centralized one, with a relative error less than 5%.
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a distribution market clearing mechanism for Renewable Generation units with zero marginal costs
IEEE Transactions on Industrial Informatics, 2019Co-Authors: Jiajia Yang, Junhua Zhao, Jing Qiu, Fushuan WenAbstract:A key feature of an electricity distribution market is that it may be dominated by Renewable Generation with zero marginal cost. Existing market mechanisms are likely to fail in this context since it cannot generate a reasonable price signal to compensate for the investment cost of Renewable generators. Given this background, a double-sided auction market mechanism is presented for pricing the zero marginal cost Renewable Generation in the distribution system. Honesty is proved to be a dominant strategy for participants, which would enable the proposed mechanism to develop into a set-and-forget bidding market. The proposed market mechanism is also shown to be compatible with the nodal pricing system. Finally, case studies are carried out, and the results show that under the proposed market mechanism, the problem of always bidding a zero price by Renewable generators in some existing markets can be avoided. Even when only Renewable Generation units with zero marginal costs participate in the bidding, the proposed mechanism can still produce a reasonable market clearing price. When adopting the average pricing market mechanism, merits of nodal pricing can still be retained and contribute to the enhancement of the operating efficiency of the distribution network.
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Dispatch strategy of PHEVs to mitigate selected patterns of seasonally varying outputs from Renewable Generation
IEEE Transactions on Smart Grid, 2015Co-Authors: Guibin Wang, Fushuan Wen, Junhua Zhao, Yusheng Xue, Gerard LedwichAbstract:Rapid development of plug-in hybrid electric vehicles (PHEVs) brings new challenges and opportunities to the power industry. A large number of idle PHEVs can potentially be employed to form a distributed energy storage system for supporting Renewable Generation. To reduce the negative effects of unsteady Renewable Generation outputs, a stochastic optimization-based dispatch model capable of handling uncertain outputs of PHEVs and Renewable Generation is formulated in this paper. The mathematical expectations, second-order original moments, and variances of wind and photovoltaic (PV) Generation outputs are derived analytically. Incorporated all the derived uncertainties, a novel Generation shifting objective is proposed. The cross-entropy (CE) method is employed to solve this optimal dispatch model. Multiple patterns of Renewable Generation depending on seasons and Renewable market shares are investigated. The feasibility and efficiency of the developed optimal dispatch model, as well as the CE method, are demonstrated with a 33-node distribution system.
Seung-il Moon - One of the best experts on this subject based on the ideXlab platform.
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Frequency and voltage control strategy of standalone microgrids with high penetration of intermittent Renewable Generation systems
IEEE Transactions on Power Systems, 2016Co-Authors: YUN SU KIM, Eung Sang Kim, Seung-il MoonAbstract:In this paper, we propose a frequency and voltage control strategy for a standalone microgrid with high penetration of intermittent Renewable Generation systems, which might cause large frequency and voltage deviation in the system due to unpredictable output power fluctuations. To this end, a battery energy storage system (BESS) is suggested for generating the nominal system frequency instead of a synchronous generator, from a frequency control perspective. This makes the system frequency independent of the mechanical inertia of the synchronous generator. However, a BESS has a capacity limitation; a synchronous generator is used to maintain the state of charge (SOC) of the BESS at a certain value. For voltage control, we proposed that a reactive power/active power (Q/P) droop control be added to the conventional reactive power controller. By adding a Q/P droop control, Renewable Generation acquires a voltage-damping effect, which dramatically alleviates the voltage fluctuation induced by its own output power fluctuation. Simulation results prove the effectiveness of the proposed control strategy from both frequency and voltage control perspectives.
Ronnie Belmans - One of the best experts on this subject based on the ideXlab platform.
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Distributed control of Renewable Generation units with integrated active filter
IEEE Transactions on Power Electronics, 2004Co-Authors: Koen Macken, Koen Vanthournout, J. Van Den Keybus, Geert Deconinck, Ronnie BelmansAbstract:Due to the current concern about the environment, there is a growing interest in distributed Generation from Renewable energy sources. Usually a power electronic converter is required to interface Renewable Generation units with the utility grid. The power electronic converters can be designed to provide nonactive power in addition to active power supply in order to compensate distorted currents. This paper proposes a distributed control method for converter-interfaced Renewable Generation units with active filtering capability. Agent-based communication makes coordination between the Generation units possible. Experimental results are included to demonstrate the validity of the proposed method.
