Multi-Objective Optimal Sizing for Battery Storage of PV-Based Microgrid with Demand Response

Zhou, Nan; Liu, Nian; Zhang, Jianhua; Lei, Jinyong

doi:10.3390/en9080591

Cited by 61 publications

(56 citation statements)

References 36 publications

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“…In the last years, the energy crisis and the deteriorating environmental conditions have promoted the development of renewable sources [1,2]. Globally installed solar capacity is equal to 76.1 GW in 2016, while was equal to 51.2 GW in 2015, in accordance to data released by Solar Power Europe.…”

Section: Introductionmentioning

confidence: 61%

The Economic Feasibility of Residential Energy Storage Combined with PV Panels: The Role of Subsidies in Italy

2017

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A solar photovoltaic system produces electricity by converting energy from the sun. By the end of 2016, the global installed solar photovoltaic capacity reached 305 GW. Its growth is impressive in the last years; in fact, it was only equal to 41 GW in 2010. However, Europe has installed only 6.9 GW in 2016 (−1.7 GW in comparison to previous year) and this annual power installed is equal to 9% of global one in according to data released by Solar Power Europe. The profitability of PV systems in mature markets depends on the harmonization between demanded energy and produced one residential energy storage when combined with photovoltaic panels is able to increase the share of self-consumption. This work proposes a mathematical model, in which a Discounted Cash Flow analysis is conducted to evaluate the financial feasibility of photovoltaic-integrated lead acid battery systems in Italy. The indicator used is Net Present Value. Furthermore, a break-even point analysis, in terms of an increase of self-consumption, is conducted. The residential sector is investigated and energy storage system investment is incentivized by fiscal deduction and regional subsidies. The analysis provides several case studies, determined by combinations of the following variables: photovoltaic plant size, battery capacity, the increase of the share of self-consumption, and the useful lifetime of energy storage system. The same case studies are proposed also in four alternative scenarios, where is the modified the structure of subsidies. Results confirm that the profitability can be reached in presence of subsidies.

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Section: Introductionmentioning

confidence: 61%

The Economic Feasibility of Residential Energy Storage Combined with PV Panels: The Role of Subsidies in Italy

2017

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“…E o = open circuit voltage of a battery (V), K = polarization coefficient (Ω), Q = battery capacity (A/h), and R = internal resistance. Some of the limitations associated with Equations (37) and (38) are (i) ageing of battery and self-discharge, (ii) the battery capacity does not depend upon the amplitude of the current, and (iii) the temperature coefficient is not considered [35]. These limitations can be overcome by considering the factors affecting the lifetime of the battery.…”

Section: Mathematical Modeling Of the Batterymentioning

confidence: 99%

“…Figure 6 represents the equivalent circuit of the fuel cell. It consists of cell voltage, actual resistance, concentration resistance, and ohmic resistance [37,38].…”

Section: Mathematical Modeling Of Fuel Cell Powermentioning

confidence: 99%

“…Equations (37) and (38) are modified by the shepherd relation model. E o = open circuit voltage of a battery (V), K = polarization coefficient (Ω), Q = battery capacity (A/h), and R = internal resistance.…”

Section: Mathematical Modeling Of the Batterymentioning

confidence: 99%

“…The transfer of electrons from one electrode to another leads to the generation of current. The open circuit voltage at the battery is determined from the potential difference between the positive and negative electrodes [37][38][39][40]. The charging/discharging of battery is expressed as…”

Section: Mathematical Modeling Of the Batterymentioning

confidence: 99%

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Energy Management Strategy for Rural Communities’ DC Micro Grid Power System Structure with Maximum Penetration of Renewable Energy Sources

et al. 2018

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Abstract:The AC and DC power system structures need to be modernized to meet consumer demands. DC microgrids are suitably admired due to their high efficiency, consistency, reliability, and load sharing performance, when interconnected to DC renewable and storage sources. The main control objective for any DC microgrid is providing proper load-power balancing based on the Distributed Generator (DG) sources. Due to the intermittent nature of renewable energy sources, batteries play an important role in load-power balancing in a DC microgrid. The existing energy management strategy may be able to meet the load demand. However, that technique is not suitable forrural communities' power system structure. This research offers an energy management strategy (EMS) for a DC microgrid to supply power to rural communities with solar, wind, fuel cell, and batteries as input sources. The proposed EMS performs the load-power balancing between each source (renewable and storage) in a DC microgrid for dynamic load variation. Here, the EMS handles two battery sources (one is used to deliver power to the priority load, and the other is utilized in the common DC bus) to meet the required demand. The proposed EMS is capable of handling load-power balancing using renewable energy sources with less consumption of non-conventional energy sources (such as a diesel generator). The performance of the system is analyzed based on different operating conditions of the input sources. The MATLAB/Simulink simulation model for the proposed DC microgrid with their EMS control system is developed and investigated, and their results are tabulated under different input and load conditions. The proposed EMS is verified through a laboratory real-time DC microgrid experimental setup, and the results are discussed.

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Network capacity charge for sustainability and energy equity: A model-based analysis

Khalilpour

Lusis

2020

Applied Energy

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It is long known that the afternoon peak demand accounts for over-investment in the electricity network assets. This results in a high price of delivered electricity which does not fairly differentiate between peak and non-peak users. Energy tariff is proven to be one of the best demand-side management (DSM) tools for shaping consumers' behaviour. While electricity pricing models, such as inclining block and time-of-use tariffs, have received decent attention as successful mechanisms, there are little discussions about another efficient tariff known as a rollover network capacity charge. It is a penalty for the highest recorded power usage over the previous reading cycle (or year) which is introduced to commercial users in some jurisdictions. With recent price reduction in distributed generation and storage (DGS) systems, the interest has increased in devising policies for directing the household and commercial consumers' behaviour towards using DGS systems in line with DSM objectives. In this paper, we have integrated the rollover network capacity charge into DGS systems investment analysis. The results from a few case studies show the positive impact of capacity charge in directing the peak-consumers' investment decisions towards DSM tools (e.g., energy storage) to curb their peak demands. This not only improves the resilience of the network but also promises as an effective mechanism in energy-justice nexus by avoiding the transfer of the associated costs of peak demand to all users.

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Multi-Objective Optimal Sizing for Battery Storage of PV-Based Microgrid with Demand Response

Cited by 61 publications

References 36 publications

The Economic Feasibility of Residential Energy Storage Combined with PV Panels: The Role of Subsidies in Italy

The Economic Feasibility of Residential Energy Storage Combined with PV Panels: The Role of Subsidies in Italy

Energy Management Strategy for Rural Communities’ DC Micro Grid Power System Structure with Maximum Penetration of Renewable Energy Sources

Network capacity charge for sustainability and energy equity: A model-based analysis

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