Market strategies for large-scale energy storage: Vertical integration versus stand-alone player

Loisel, Rodica; Simon, Corentin

doi:10.1016/j.enpol.2021.112169

Cited by 11 publications

(3 citation statements)

References 29 publications

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“…The basic structure of the photovoltaic equivalent circuit is shown in Figure 1: It can be seen from 1 that S1 is the parallel resistance, S2 is the series resistance, D is the open circuit voltage, I1 is the diode diffusion effect saturation current, and I2 is the diode compound effect saturation current. Its equivalent circuit is divided into the single-diode and the double-diode models [3]. The power output of solar panels is affected by light intensity and temperature, and the specific output power of each solar panel can be derived from Equation (1):…”

Section: Obtaining the Output Power Of Pv Microgrid Panelsmentioning

confidence: 99%

Research on the optimal allocation method of PV micro-grid energy storage capacity based on empirical modal decomposition

Yang¹,

Zhao²,

Yang³

et al. 2023

J. Phys.: Conf. Ser.

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To address the problem of high battery usage throughout the year, an empirical modal decomposition-based optimal allocation method for PV microgrid energy storage capacity is designed. This paper describes the basic structure of the photovoltaic equivalent circuit to obtain the output power of the photovoltaic microgrid panel. We use the energy storage battery as a secondary power source to smooth the photovoltaic power output and calculate the wasted power. In this paper, an energy management model based on empirical mode decomposition is constructed, and the photovoltaic power generation unit and energy storage unit are regarded as optimally configured whole. Based on the above conditions, an optimal allocation method of energy storage capacity is designed. Experimental results: the mean value of annual battery usage for the PV microgrid capacity optimization allocation method in the paper is: 53.74%, indicating that the designed PV microgrid capacity optimization allocation method is more feasible after combining the empirical modal decomposition algorithm.

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Section: Obtaining the Output Power Of Pv Microgrid Panelsmentioning

confidence: 99%

Research on the optimal allocation method of PV micro-grid energy storage capacity based on empirical modal decomposition

Yang¹,

Zhao²,

Yang³

et al. 2023

J. Phys.: Conf. Ser.

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“…Thus, reference [22] presents a model to set capacity-and energy-based incentives to match revenues and expenses for storage and applies it to a test system. References [17,23] propose additional revenues from capacity mechanisms and flexibility markets to reach the optimal amount of storage. A price cap is proposed in reference [8] in a general analysis of the need for capacity mechanisms.…”

Section: Introductionmentioning

confidence: 99%

Renewables and Advanced Storage in Power Systems: The Iberian Case

Usaola¹

2022

Applied Sciences

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Storage has many benefits for power systems with a high share of renewable energy. It reduces renewable curtailment, can participate in ancillary services and contributes to system adequacy. However, its business model is far from clear since most of its revenues come from arbitrage in energy markets, and this is usually not enough to recover the investment. Advanced storage can facilitate the profitability of storage and ease the integration of renewables in power systems by reducing costs and allowing an enhanced performance. The profitability requirements of future advanced storage systems (batteries) are assessed in this paper by means of an optimization method and an uncertainty analysis for an optimal Iberian (Spain and Portugal) power system that meets the targets of their National Energy and Climate Plans. Results show that needed storage capacity is only a small part of the demanded energy, but technical advances are required for optimal performance. High prospective storage cost leads to a wind-dominated renewable mix, while low storage cost favours photovoltaics. Arbitrage with storage may cover its investment costs under carbon prices close to the actual Social Cost of Carbon.

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“…Today's real challenge is to propose the most appropriate storage technology solution for the local context. Nevertheless, to find its place among the solutions deployed, the storage system will have to demonstrate its technical relevance and prove its economic profitability [184].…”

mentioning

confidence: 99%

Energy Transition in France

et al. 2022

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To address the climate emergency, France is committed to achieving carbon neutrality by 2050. It plans to significantly increase the contribution of renewable energy in its energy mix. The share of renewable energy in its electricity production, which amounts to 25.5% in 2020, should reach at least 40% in 2030. This growth poses several new challenges that require policy makers and regulators to act on the technological changes and expanding need for flexibility in power systems. This document presents the main strategies and projects developed in France as well as various recommendations to accompany and support its energy transition policy.

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Market strategies for large-scale energy storage: Vertical integration versus stand-alone player

Cited by 11 publications

References 29 publications

Research on the optimal allocation method of PV micro-grid energy storage capacity based on empirical modal decomposition

Research on the optimal allocation method of PV micro-grid energy storage capacity based on empirical modal decomposition

Renewables and Advanced Storage in Power Systems: The Iberian Case

Energy Transition in France

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