Optimal economic dispatch policy for prosumer with energy storage considering self-consumption demand

Liu, Jian; Dai, Zhuoni; Bo, Rui; Meng, Fanlin; Ou, Meng

doi:10.1016/j.cie.2022.108853

Optimal economic dispatch policy for prosumer with energy storage considering self-consumption demand

Journal Article · Fri Dec 02 00:00:00 EST 2022 · Computers and Industrial Engineering

DOI:https://doi.org/10.1016/j.cie.2022.108853· OSTI ID:2418683

Liu, Jian ^[1]; Dai, Zhuoni ^[2]; ^[3]; Meng, Fanlin ^[4]; Ou, Meng ^[2]

Nanjing Univ. of Information Science and Technology (China); Missouri Univ. of Science and Technology, Rolla, MO (United States); OSTI
Nanjing Univ. of Information Science and Technology (China)
Missouri Univ. of Science and Technology, Rolla, MO (United States)
Univ. of Manchester (United Kingdom)

This paper analyzed the effects of self-consumption demand on the joint economic dispatch of prosumers (energy consumers who are also producers), particularly for prosumers with both energy storage and distributed energy sources (DERs). Studies in the existing literature on the economic dispatch scheduling policy of energy storage, mostly from the perspective of electricity merchants, do not address the impacts of self-consumption demand. However, due to the intermittent and high levels of uncertainty regarding DERs generation and the dynamic demand of the prosumer, production and consumption are not always simultaneous; there are two possible scenarios in each period depending on whether DERs generation can meet prosumers' self-consumption or not. Incorporating the self-consumption demand will pose modeling challenges since these two scenarios cannot occur simultaneously in each period, and different scenarios require different decisions for prosumers. Further, this paper analyzed the two scenarios separately to find the optimal storage scheduling strategy, and the results were combined to get the optimal global solution. We focused on prosumers' economic decision-making while considering self-consumption demand and the physical constraints of a battery based on dynamic programming. Our study showed that the feasible state of charge (SOC) range of storage can be segmented into several sub-ranges by SOC reference points under the above two scenarios. As a result, a prosumer's optimal scheduling can be uniquely and conveniently selected based on the sub-ranges within which the current SOC falls. The results, therefore, provided multistage decision-making guidance for prosumers with energy storage.

View Accepted Manuscript (DOE)

Research Organization:: Univ. of Missouri, Columbia, MO (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office

Grant/Contract Number:: EE0008781

OSTI ID:: 2418683

Alternate ID(s):: OSTI ID: 1960959

Journal Information:: Computers and Industrial Engineering, Journal Name: Computers and Industrial Engineering Journal Issue: C Vol. 176; ISSN 0360-8352

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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29 ENERGY PLANNING, POLICY, AND ECONOMY
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Optimal economic dispatch policy for prosumer with energy storage considering self-consumption demand

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