Unified strategy for electric vehicles participate in voltage and frequency regulation with active power in city grid

Xiang, Wang; He, Zhengyou Y.; Yang, Jianwei

doi:10.1049/iet-gtd.2018.7016

Cited by 23 publications

(15 citation statements)

References 42 publications

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“…Recent years, a larger number of demand-side users have offered AGC service to power systems. Meanwhile, many AGC strategies have been proposed, enabling different types of demand-side resources to offer frequency regulation service without affecting the users [13][14][15][16][17][18][19][20][21].…”

Section: Demand-side Electric Users Providing Agc Servicementioning

confidence: 99%

“…Other types of strategy, such as new controllers and game theoretic approaches, can also help EVs provide better regulation services in performance and economic benefits [19,20]. Moreover, those strategies or approaches barely affect the comfort and operation of users [21].…”

Section: Demand-side Electric Users Providing Agc Servicementioning

confidence: 99%

“…D i represents the index set of all the downstream machines of machine i. Since limited by the inventory capacity of semi-finished products and finished products in the flow shop, S i,t is limited by the inventory capacity of the flow shop, as expressed in Formula (21).…”

Section: Constraintsmentioning

confidence: 99%

“…The arrows indicate the transportation direction of workpiece. Energies 2020, 13, x FOR PEER REVIEW 8 of 15inventory capacity of semi-finished products and finished products in the flow shop, S i,t is limited by the inventory capacity of the flow shop, as expressed in formula(21). max ,…”

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confidence: 99%

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Flow Shop Providing Frequency Regulation Service in Electricity Market

Wang

Pei

et al. 2020

Energies

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Electricity cost is one of main production costs for flow shops. Providing frequency regulation services can help electric loads reduce their electricity costs. Previous studies mostly focus on automatic generation control (AGC) strategies for other types of electric loads, such as air conditioners, EVs or battery storage. In this paper, we find flow shops competent to follow regulation signals and avoid interrupts of processing with the help of scheduling optimization. This finding may be an aid for flow shops by availing regulation services to the market and making a profit. Hence, we propose an AGC strategy for optimizing flow shop scheduling, without affecting the operation. To formulate the bidding strategy for flow shops in regulation market, we considered as many relevant factors as possible, including the regulation performance and yield of flow shops, constraints on load power, regulation reserve capacity and machines operation, inventory of each semi-finished product, AGC strategy-as well as the coupling between the bids in both energy market and regulation market. Our case study shows the potential of the methodology proposed in this paper to cut down the electric cost of flow shops and supplies of performance-qualified frequency regulation service.

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Section: Demand-side Electric Users Providing Agc Servicementioning

confidence: 99%

Section: Demand-side Electric Users Providing Agc Servicementioning

confidence: 99%

Section: Constraintsmentioning

confidence: 99%

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confidence: 99%

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Flow Shop Providing Frequency Regulation Service in Electricity Market

Wang

Pei

et al. 2020

Energies

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“…At the same time, the power companies pay more attention to the quality of service, which makes the users' requirements for the reliability of distribution network further improved. The optimization model without considering the reliability of distribution network will no longer adapt to the current situation [19]. Additionally, due to the high proportion of renewable energy in the distribution network, the uncertain output of renewable energy will make the operation of the distribution network change dramatically in a short time.…”

Section: Socimentioning

confidence: 99%

A Bi-Level Linearized Dispatching Model of Active Distribution Network With Multi-Stakeholder Participation Based on Analytical Target Cascading

Chen

et al. 2019

IEEE Access

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This paper addresses a linearized interactive dispatching model developed between active distribution network (ADN) and virtual micro-grid (VMG). To make such concept, a bi-level framework is adopted based on the analytical target cascading (ATC) method. In this model, the lower level dispatches each element in VMG from the standpoint of VMG's own interests, and an objective function of maximizing the VMG's benefits is constructed. The upper level dispatches each element in ADN from the perspective of ADN's economy and reliability, on this basis, a synthetic objective function is built. In addition, the ACT method is used to solve the coupling problem caused by the existence of interaction variables between the upper and lower levels, and ultimately to achieve win-win cooperation between ADN and VMG levels. Moreover, to reduce the computational complexity of the model and speed up the solving process, the secondorder cone programming is employed in the proposed model to linearize the power flow calculation of the distribution network. Finally, simulation studies are conducted on the IEEE 18-bus distribution test systems to illustrate the feasibility of the proposed model. The stability and effectiveness of the model are verified by various comparisons. INDEX TERMS Active distribution network, virtual micro-grid, bi-level model, analytical target cascading, second-order cone programming.

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