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Optimal design and bidding method for EVCS participating in ancillary services

IP.com Disclosure Number: IPCOM000236389D
Publication Date: 2014-Apr-24

Publishing Venue

The IP.com Prior Art Database

Related People

Yao Chen: INVENTOR [+4]

Abstract

This invention proposes a business case evaluation method for EVCS (electric vehicle charging station); a bidding method to guide EVCS operator to participate in ancillary services so as to increase the profitability; and an optimization design method for EVCS configuration to maximize NPV (net present value) based on business case evaluation method and optimal bidding rule. The proposed business case evaluation method provides a fundamental platform for following optimization tasks. The proposed bidding method is to pre-evaluate benefits for participating in ancillary services and identify the best bidding rule that can contribute the highest benefits for EVCS. The proposed optimization design method is to calculate the optimal charging poles quantity, optimal ESS (energy storage system) energy capacity and optimal compensation fee to customer, all of which contribute together to generate the maximum NPV for EVCS installation.

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Corporate Research

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ZCRD/China /Power systems 2013-05-22 en

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Doc. title Invention Disclosure

Status of document

Draft

Inventor Rongrong Yu, Cathy-Yao Chen, Hector Zelaya De La Parra, Helen-Xing Huang

Approved on

Creator name Rongrong Yu

Approved by

Disclosure Title:

Optimal design and bidding method for EVCS participating in ancillary services

Abstract of Inv:

This invention proposes a business case evaluation method for EVCS (electric vehicle charging station); a bidding method to guide EVCS operator to participate in ancillary services so as to increase the profitability; and an optimization design method for EVCS configuration to maximize NPV (net present value) based on business case evaluation method and optimal bidding rule.

The proposed business case evaluation method provides a fundamental platform for following optimization tasks. The proposed bidding method is to pre-evaluate benefits for participating in ancillary services and identify the best bidding rule that can contribute the highest benefits for EVCS. The proposed optimization design method is to calculate the optimal charging poles quantity, optimal ESS (energy storage system) energy capacity and optimal compensation fee to customer, all of which contribute together to generate the maximum NPV for EVCS installation.

Background of the Invention:

Facing urgent environmental pressure and shortage of energy resources, many countries are trying hard in finding ways to shift people life behaviour to more environment-friendly and less resources- dependent. Under such situation, EV (electric vehicle) is regarded as an emerging strategic industry in many countries so far. Foreseen large amount of EV deployment, there will be great demand for EVCS installation, which would be a good business opportunity for ABB.

What EVCS operator concerns is to firstly achieve the highest benefits with the lowest capital cost, which can be realized by properly designing the configuration of EVCS to maximize NPV considering regional EV arrival distribution and market price information; and secondly to maximize profitability, which can be realized by properly designing the bidding method to participate in ancillary service utilizing available energy resources according to EV owner's willingness to increase the operational benefits of EVCS.

Statement of the Problem:

Therefore, this invention aims to solve three problems as follows.

Firstly, how to design a generic business case evaluation tool for EVCS by considering comprehensive data and parameters of individual stakeholder including EV owner, EVCS operator, utilities, etc.


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Secondly, how to design the bidding method for EVCS to generate the best bidding rule to achieve the highest benefits in participating in day-ahead and/or real time ancillary services markets ahead of submitting bidding request.

Thirdly, how to determine the optimal EVCS configurat...