A Novel Capacity Market Model With Energy Storage

Opathella, C.; Elkasrawy, Ayman; Mohamed, Amr A.; Venkatesh, Bala

doi:10.1109/tsg.2018.2879876

Cited by 37 publications

(34 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The number of each asset technology as well as the rating of the units are provided. The factors of capital cost for the considered asset technologies are tabulated in Table 2 based on [19,20]. The generation profiles for PV units and wind units for both summer and winter seasons are provided in Figure 4.…”

Section: Case I -Simple Case (Single Meter)mentioning

confidence: 99%

Value‐stack aggregator optimal planning considering disparate DERs technologies

Mohamed

Sabillon

Golriz

et al. 2021

IET Generation Trans & Dist

Self Cite

View full text Add to dashboard Cite

Federal energy regulatory commission (FERC) Order #2222 prescribes that distributed energy resources (DERs) with 100 kW or more capacity in aggregate should be allowed to participate in organized electricity markets. Most aggregation is via a combination of disparate DER technologies such as solar, wind, storage, electric vehicles, and smart load units. Another stumbling block to enabling participation of DERs in organized electricity markets is the energy limitation. However, there is a lack of aggregator models in the literature that gainfully allow aggregation of disparate DER technologies that are energy limited. To address this shortcoming, we proposed a disparate DER aggregator (DDA) planning model here, that overcomes energy limitation of DERs. The DDA planning model considers multiple revenue streams of (1) capacity credits; (2) energy revenues; and (3) ancillary services revenues. The proposed DDA planning model enables disparate DER technologies to collate and provide a firm power capacity and participate in the market capacity auction and receive capacity credits. This comprehensive DDA planning model considers the dynamic/temporary aggregations with other facilities through peer-to-peer (P2P) trade, and maximization of the net present value (NPV) revenues over the planning horizon. The developed model is tested on sample and practical large-scale case studies. Additional sensitivity analyses are performed, demonstrating the favourable performance and the business potential of the developed DDA planning model.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

show abstract

Section: Case I -Simple Case (Single Meter)mentioning

confidence: 99%

Value‐stack aggregator optimal planning considering disparate DERs technologies

Mohamed

Sabillon

Golriz

et al. 2021

IET Generation Trans & Dist

Self Cite

View full text Add to dashboard Cite

show abstract

“…Therefore, most of the existing capacity markets which allow for ESS participation have mechanisms to prevent ESS bidding more capacity than they can deploy. Opathella et al [70] defined the capacity market for the ESS participation by assigning a capacity factor between zero and one to each market participant. The factor is zero for the ESS if at the considered moment the expected energy supply is greater than the demand, and if the demand is greater than the supply, the factor is calculated by dividing the necessary capacity by the available capacity of the ESS, capped off at 1.…”

Section: Transmission System-level Essmentioning

confidence: 99%

Operating and Investment Models for Energy Storage Systems

2020

View full text Add to dashboard Cite

In the context of climate changes and the rapid growth of energy consumption, intermittent renewable energy sources (RES) are being predominantly installed in power systems. It has been largely elucidated that challenges that RES present to the system can be mitigated with energy storage systems (ESS). However, besides providing flexibility to intermittent RES, ESS have other sources of revenue, such as price arbitrage in the markets, balancing services, and reducing the cost of electricity procurement to end consumers. In order to operate the ESS in the most profitable way, it is often necessary to make optimal siting and sizing decisions, and to determine optimal ways for the ESS to participate in a variety of energy and ancillary service markets. As a result, many publications on ESS models with various goals and operating environments are available. This paper aims at presenting the results of these papers in a structured way. A standard ESS model is first outlined, and that is followed by a literature review on operational and investment ESS models at the transmission and distribution levels. Both the price taking and price making models are elaborated on and presented in detail. Based on the examined body of work, the paper is concluded with recommendations for future research paths in the analysis of ESS.

show abstract

“…The integration of energy storage capacity to the capacity market auction is challenging due to its complex capacity characteristics and the lack of definite measures to incorporate it into the capacity market. The authors of [229] consider these challenges and developed a capacity auction model that considers the capacity of contributions from energy storage devices. In [230], a day ahead DR is employed to provide spinning reserve provision.…”

Section: Capacity Market Programmentioning

confidence: 99%

The Paradigm Revolution in the Distribution Grid: The Cutting-Edge and Enabling Technologies

Thasnimol

Rajathy

2020

Open Computer Science

View full text Add to dashboard Cite

Bi-directional information and energy flow, renewable energy sources, battery energy storage, electric vehicle, self-healing capability, and demand response programs, etc., revolutionized the traditional distribution network into the smart distribution network. Adoption of modern technologies like intelligent meters such as advanced metering infrastructure & Micro-phasor measurement units, data storage, and analysis techniques and incentive-based electricity trading mechanisms can bring this paradigm shift. This study presents an overview of popular technologies that facilitate this transformation, giving focus on some prime technologies such as real-time monitoring based on Micro-phasor measurement units, data storage and analytics, blockchain technology, multi-agent systems, and incentive-based energy trading mechanisms

show abstract

A Novel Capacity Market Model With Energy Storage

Cited by 37 publications

References 8 publications

Value‐stack aggregator optimal planning considering disparate DERs technologies

Value‐stack aggregator optimal planning considering disparate DERs technologies

Operating and Investment Models for Energy Storage Systems

The Paradigm Revolution in the Distribution Grid: The Cutting-Edge and Enabling Technologies

Contact Info

Product

Resources

About