Distributed control scheme for residential battery energy storage units coupled with PV systems

Ranaweera, Iromi; Midtgård, Ole-Morten; Korpås, Magnus

doi:10.1016/j.renene.2017.06.084

Cited by 57 publications

(30 citation statements)

References 26 publications

(26 reference statements)

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“…The second is that energy arbitrage can be created by shifting energy from valley to peak, based on the different electricity prices between valley and peak hours. An economic analysis of the PV‐BES hybrid system is more complicated than that of the PV system alone because the charge and discharge of the BES is affected by the different behaviours of load energy consumption and PV power generation . The constituents of the total benefit and cost for a PV‐BES system are described in detail as follows:

{Benefit}^{3} = \sum_{j = italic1}^{N} ({B^{3}}_{L, j} + {B^{3}}_{G, j} + {B^{3}}_{S, j}) / {(1 + r)}^{j},

B_{L, j}^{3} = {B_{PV \to L}^{italic3}}_{, j} + {B_{B (italicPV) \to L}^{italic3}}_{, j} + {B_{B (italicgrid) \to L}^{italic3}}_{, j},

{Cost}^{3} = C_{I, italictotal}^{3} + \sum_{j = 1}^{N} ((), C_{italicOM, j}^{3} + C_{E, j}^{3}) / {(1 + r)}^{j} + \sum_{j^{'} = 0}^{({}, (⌈⌉, \frac{T_{PV}}{T_{B}}) - 1) \times T_{B}} C_{R ((), B), j'}^{3} / {(1 + r)}^{j'} + \sum_{j^{''} = 0}^{({}, (⌈⌉, \frac{T_{PV}}{T_{inv}}) - 1) \times T_{inv}} C...

…”

Section: Methodsmentioning

confidence: 99%

“…An economic analysis of the PV-BES hybrid system is more complicated than that of the PV system alone because the charge and discharge of the BES is affected by the different behaviours of load energy consumption and PV power generation. 21,22 The constituents of the total benefit and cost for a PV-BES system are described in detail as follows:…”

Section: Cost-benefit Models For a Pv-bes Systemmentioning

confidence: 99%

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Economic analysis of an industrial photovoltaic system coupling with battery storage

et al. 2019

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Summary The Energy and Evaluation Special Committee of the China Price Association proposed two types of bill for battery energy storage (BES) subsidies in 2017: the first was that energy storage should be subsidised based on the initial installation capacity of BES system, while the second was that it should be subsidised based on the energy discharged by the BES system during the operational period. The economic benefits of a distributed photovoltaic (PV) system or a distributed system with PV and BES in the overall life cycle are discussed in the context of an industrial zone in Shanghai. The results suggest that the net present value (NPV) of a PV‐BES system with an optimised configuration is higher than the NPV of a PV system alone. The NPV of a distributed PV system with four different BESs is found to decrease in the order Li‐ion > NaS > VFB > Pb‐C because of the characteristics of their batteries. The NPVs of PV‐BES systems increase in equal proportion to the increase in the BES subsidy based on installation capacity for these four BES systems, while they show an inequable growth rate of earnings for the same BES subsidy based on the energy discharged over the operational period. The second bill for BES subsidy is more beneficial to the BES industry than the first, as it encourages higher pay for more work.

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{Benefit}^{3} = \sum_{j = italic1}^{N} ({B^{3}}_{L, j} + {B^{3}}_{G, j} + {B^{3}}_{S, j}) / {(1 + r)}^{j},

B_{L, j}^{3} = {B_{PV \to L}^{italic3}}_{, j} + {B_{B (italicPV) \to L}^{italic3}}_{, j} + {B_{B (italicgrid) \to L}^{italic3}}_{, j},

{Cost}^{3} = C_{I, italictotal}^{3} + \sum_{j = 1}^{N} ((), C_{italicOM, j}^{3} + C_{E, j}^{3}) / {(1 + r)}^{j} + \sum_{j^{'} = 0}^{({}, (⌈⌉, \frac{T_{PV}}{T_{B}}) - 1) \times T_{B}} C_{R ((), B), j'}^{3} / {(1 + r)}^{j'} + \sum_{j^{''} = 0}^{({}, (⌈⌉, \frac{T_{PV}}{T_{inv}}) - 1) \times T_{inv}} C...

…”

Section: Methodsmentioning

confidence: 99%

Section: Cost-benefit Models For a Pv-bes Systemmentioning

confidence: 99%

Economic analysis of an industrial photovoltaic system coupling with battery storage

et al. 2019

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“…In [27], a coordination mechanism based on a centralized EM structure is used. Mainly, PV battery systems are controlled by independent optimizing local controllers.…”

Section: Coordination Mechanisms For Pv Battery Systemsmentioning

confidence: 99%

Coordination Mechanism for PV Battery Systems with Local Optimizing Energy Management

et al. 2020

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This publication presents a coordination mechanism for neighboring photovoltaic (PV) battery systems with local optimizing energy management (EM). The aim of this coordination is a high degree of self-sufficiency for the neighborhood while maintaining a high individual degree of self-sufficiency and relieving the grid. A financial incentive to increase the energy exchanged within the neighborhood is introduced. The local EM of the individual PV battery system uses model predictive control based on deterministic dynamic programming in order to minimize the individual economic costs and extreme grid power values. By using a coordination algorithm involving a central information processing unit, the neighboring PV battery systems are given information about the sum of the planned consumption and feed-in power profiles of the neighborhood, as well as the neighborhood tariffs. Based on these data, the PV battery systems successively optimize the operation of their batteries until either convergence or a maximum count of iterations is achieved. The operating principle of the distributed EM concept with coordination is demonstrated through a simulation of a residential neighborhood comprising eight households with different load profiles and varying PV peak powers and battery capacities. Its performance is compared with three EM concepts: two distributed concepts without coordination and another one with central optimizing EM representing ideal coordination. The resulting power flow distributions are analyzed, and the benefits and weaknesses of the developed coordination mechanism are discussed based on a number of evaluation criteria.

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“…The authors of [42] suggested that, of the above-mentioned technical challenges, voltage regulation is the most significant technical challenge that prevents or limits the penetration level of the distributed generation in the distribution network, in which the following are the advanced methods or solutions to help mitigate this issue: There has been much research on how these advanced methods can increase the penetration levels of the PV systems in the distribution network [43][44][45][46][47][48][49][50][51][52][53][54][55]. In [43], a new supervisory tool based on the voltage control scheme for control and data acquisition to coordinate among the DGs, OLTC and capacitor banks is presented, which sets a new principle for selecting the tap positions of an OLTC.…”

Section: Technical Solutionsmentioning

confidence: 99%

“…The authors of [54] presented a distributed control method for a residential battery energy storage (BES) units connected to PV system that aims to utilise the customer-owned BES units for solving the over-voltage issues caused by high PV system penetration levels without significantly affecting the owners BES unit local objectives. This method utilises the reactive power when the active power is not enough, and the results show that the aim has been met.…”

Section: Technical Solutionsmentioning

confidence: 99%

The Technical Challenges Facing the Integration of Small-Scale and Large-scale PV Systems into the Grid: A Critical Review

Alshahrani

Omer

et al. 2019

Electronics

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Decarbonisation, energy security and expanding energy access are the main driving forces behind the worldwide increasing attention in renewable energy. This paper focuses on the solar photovoltaic (PV) technology because, currently, it has the most attention in the energy sector due to the sharp drop in the solar PV system cost, which was one of the main barriers of PV large-scale deployment. Firstly, this paper extensively reviews the technical challenges, potential technical solutions and the research carried out in integrating high shares of small-scale PV systems into the distribution network of the grid in order to give a clearer picture of the impact since most of the PV systems installations were at small scales and connected into the distribution network. The paper reviews the localised technical challenges, grid stability challenges and technical solutions on integrating large-scale PV systems into the transmission network of the grid. In addition, the current practices for managing the variability of large-scale PV systems by the grid operators are discussed. Finally, this paper concludes by summarising the critical technical aspects facing the integration of the PV system depending on their size into the grid, in which it provides a strong point of reference and a useful framework for the researchers planning to exploit this field further on.

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Distributed control scheme for residential battery energy storage units coupled with PV systems

Cited by 57 publications

References 26 publications

Economic analysis of an industrial photovoltaic system coupling with battery storage

Economic analysis of an industrial photovoltaic system coupling with battery storage

Coordination Mechanism for PV Battery Systems with Local Optimizing Energy Management

The Technical Challenges Facing the Integration of Small-Scale and Large-scale PV Systems into the Grid: A Critical Review

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