Yang, Jiajia, Dong, Zhao Yang, Wen, Fushuan, Chen, Qixin, Luo, Fengji, Liu, Weijia, and Zhan, Junpeng (2020) A Penalty Scheme for Mitigating Uninstructed Deviation of Generation Outputs From Variable Renewables in a Distribution Market. IEEE Transactions on Smart Grid, 11 (5). pp. 4056-4069.

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Abstract

With rapid growth of distributed renewable generation, the establishment of electricity distribution markets has attracted widespread concerns. Different from existing transmission grid-scale electricity markets, an electricity distribution market is featured by numerous small-scale prosumers, and zero marginal cost and intermittency of renewable generation units. Against this background, this paper first extends an average pricing market (APM) mechanism for pricing renewable generation outputs with zero marginal cost in the distribution network concerned. Then, to mitigate the uninstructed volatility of renewable generation outputs and power demand, a penalty scheme is proposed for deviations between the real-time demand/output and market cleared bid/offer, with frequency regulation service (FRS) from energy storage systems (ESSs) considered. It is proved that the market volatility can be well controlled within an expected limit through properly setting the penalty prices for load demand and generation output fluctuations. Also, with this mechanism a non-negative market surplus could always be attained. Case studies are carried out to demonstrate the feasibility and efficiency of the proposed distribution market mechanism and penalty scheme.

Item ID:	77948
Item Type:	Article (Research - C1)
ISSN:	1949-3061
Copyright Information:	© 2020 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
Funders:	Australian Research Council (ARC)
Projects and Grants:	ARC Grant number IH180100020
Date Deposited:	21 Mar 2023 02:07
FoR Codes:	40 ENGINEERING > 4008 Electrical engineering > 400805 Electrical energy transmission, networks and systems @ 100%
SEO Codes:	17 ENERGY > 1703 Energy storage, distribution and supply > 170305 Energy systems and analysis @ 100%
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