A linear programming approach for battery degradation analysis and optimization in offgrid power systems with solar energy integration

Bordin, Chiara; Anuta, Harold Oghenetejiri; Crossland, Andrew F.; Gutierrez, Isabel Lascurain; Dent, Chris; Vigo, Daniele

doi:10.1016/j.renene.2016.08.066

Cited by 171 publications

(76 citation statements)

References 31 publications

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“…Moreover, NPC increased from $107,637 to $114,274. However, researchers have recommended that the SOC min not be set to an extremely low value to avoid damaging the storage bank by excessive discharge [62][63][64][65].…”

Section: Battery Minimum Socmentioning

confidence: 99%

Energy Management and Optimization of a PV/Diesel/Battery Hybrid Energy System Using a Combined Dispatch Strategy

et al. 2019

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In recent years, the concept of hybrid energy systems (HESs) is drawing more attention for electrification of isolated or energy-deficient areas. When optimally designed, HESs prove to be more reliable and economical than single energy source systems. This study examines the feasibility of a combined dispatch (CD) control strategy for a photovoltaic (PV)/diesel/battery HES by combining the load following (LF) strategy and cycle charging (CC) strategy. HOMER software is used as a tool for optimization analysis by investigating the techno-economic and environmental performance of the proposed system under the LF strategy, CC strategy, and combined dispatch CD strategy. The simulation results reveal that the CD strategy has a net present cost (NPC) and cost of energy (COE) values of $110,191 and $0.21/kWh, which are 20.6% and 4.8% lower than those of systems utilizing the LF and CC strategies, respectively. From an environmental point of view, the CD strategy also offers the best performance, with CO 2 emissions of 27,678 kg/year. Moreover, the results show that variations in critical parameters, such as battery minimum state of charge, time step, solar radiation, diesel price, and load growth, exert considerable effects on the performance of the proposed system. Sustainability 2019, 11, 683 2 of 26 different energy sources to produce a hybrid energy system (HES), which can solve reliability problems and provide an environmentally friendly solution [7][8][9]. Various power sources and storages, such as diesel generators, batteries, and supercapacitors, should be integrated into HESs to improve system stability and smooth out fluctuations [10,11].Sustainability 2018, 10, x FOR PEER REVIEW 2 of 29 problems and provide an environmentally friendly solution [7][8][9]. Various power sources and storages, such as diesel generators, batteries, and supercapacitors, should be integrated into HESs to improve system stability and smooth out fluctuations [10,11]. Figure 2. Commonly used approaches for energy management strategies [14]. Sustainability 2019, 11, 683 3 of 26Although the non-dispatchable RESs necessitate complex systems modeling, they are themselves simple to model without the need for control logic, in which the power is merely produced in direct response to the available renewable energy resources. On the other hand, the dispatchable components, such as the generator and battery, are more difficult to model because they must be controlled to achieve matching of demand and supply properly, and to compensate for the intermittency of the non-dispatchable RESs [16,17]. "Should a generator charge the battery or should excess solar production be responsible for charging the battery only and the generator used only to satisfy the load?" This question has led to some rules that manage the operation of generator and battery energy storage. The load following (LF) and cycle charging (CC) dispatch strategies are used to control generator operation and battery energy storage. Under the LF strategy, a generator produces only e...

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Section: Battery Minimum Socmentioning

confidence: 99%

Energy Management and Optimization of a PV/Diesel/Battery Hybrid Energy System Using a Combined Dispatch Strategy

et al. 2019

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“…The degradation cost is obtained by C = C L ⁄ [3], where C and L are the replacement cost and the lifetime of BSS. L is measured as the number of cycles that it can deliver before it is no longer able to provide sufficient energy [15]. The life cycle is obtained by [14]:…”

Section: B Objective Functionsmentioning

confidence: 99%

Multiobjective Home Appliances Scheduling Considering Customer Thermal Discomfort: A Multistep Look-ahead ADP-Based Approach

Jeddi

Mishra

Ledwich

2019

2019 IEEE Milan PowerTech

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This paper proposes a multiobjective home energy management unit (MO-HEMU) to balance the electricity payment and thermal discomfort of a household by properly scheduling devices in a time-varying price environment. The thermal discomfort is measured by the deviation of indoor and hot water temperature from the user's ideal temperature. The home devices include solar Photovoltaics, a battery storage system, deferrable, and thermal appliances. The proposed MO-HEMU is formulated as a dynamic program and a method based on the approximated dynamic programming is used as the scheduling algorithm. The developed method, called multistep look-ahead algorithm, is an iterative algorithm that overcomes the curse of dimensionality of the exact DP by choosing a decision based on a limited number of stages ahead. The effectiveness of the proposed model is investigated through numerical simulations. The proposed MO-HEMU enables customers to find the desired trade-off between electricity payment and a discomfort level.Index Terms--Appliances scheduling, approximate dynamic programming, home energy management, multiobjective optimization, thermal discomfort.I.

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“…In [7], a degradation model is used to optimize the operation of an off-grid system with a single PV and battery. The proposed linear model identifies lower and higher State of Charge (SOC) and charging/discharging cycles, and assigns a linear cost.…”

Section: Current Research 1battery Cycling In Smart Home Applicationsmentioning

confidence: 99%

Stochastic operation of home energy management systems including battery cycling

2018

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The present work proposes a stochastic approach for Day-Ahead operation of Home Energy Management Systems when batteries, solar photovoltaic resources and Electric Water Heaters are considered. The optimization problem minimizes the operation costs formed by energy procurement in the wholesale market and the equivalent cycling aging cost of the batteries, and also includes the uncertainty of the PV production and the load. The complete two-stage stochastic formulation results in a Mixed-Integer Nonlinear Programming problem that is decomposed using a Competitive Swarm Optimizer to handle the calculation of the battery cycling aging cost. A Storage Disaggregation Algorithm based on Lagrangian relaxation is used to reduce the problem size and to allocate individual State of Charge for the batteries. In addition, the advantages of considering a stochastic approach are shown by means of the Value of the Stochastic Solution. This methodology has been developed in the context of the Horizon 2020 project SENSIBLE as part of the tasks related to a use case that considers an aggregator that participates in the electricity market with a portfolio of prosumers with active demand capability.

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A linear programming approach for battery degradation analysis and optimization in offgrid power systems with solar energy integration

Cited by 171 publications

References 31 publications

Energy Management and Optimization of a PV/Diesel/Battery Hybrid Energy System Using a Combined Dispatch Strategy

Energy Management and Optimization of a PV/Diesel/Battery Hybrid Energy System Using a Combined Dispatch Strategy

Multiobjective Home Appliances Scheduling Considering Customer Thermal Discomfort: A Multistep Look-ahead ADP-Based Approach

Stochastic operation of home energy management systems including battery cycling

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