Optimal battery operation for revenue maximization of wind-storage hybrid power plant

Das, Kaushik; Grapperon, Anatole Louis Theodore Philippe; Sørensen, Poul Ejnar; Hansen, Alexander

doi:10.1016/j.epsr.2020.106631

Cited by 25 publications

(20 citation statements)

References 11 publications

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“…Compared to the baseload of the oil rig platform, it is obvious from Figure 6 that the sum of the demand increases and decreases over the 24-hours operating time interval is equal to zero in cases 3 and 4. This means that the baseload at hour t is satisfied either at the same time or at the other off-peak or mid-peak hours, as expected from constraints T A B L E 3 The charge and discharge limitations of the battery storage unit 37,45 (19) and (21). As stated in (11), the total fuel consumption of the diesel-assisted oil rig is selected as the main objective function and minimized in four scenarios.…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

Optimization of a tidal‐battery‐diesel driven energy‐efficient standalone microgrid considering the load‐curve flattening program

Jabari

Arasteh

Fini

et al. 2021

Int Trans Electr Energ Syst

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The diesel generators are usually used for supplying the electrical demand of the semi-submersible oil drilling rigs. The specific fuel consumption (SFC) of each diesel engine changes nonlinearly with respect to its power product.Hence, this paper presents an economic fuel dispatch model for diesel engines powered oil rig platforms using the cubic spline interpolation curve fitting of the SFC-power non-linear dependence. Moreover, the total fuel consumption of the diesel generators significantly reduces by shifting a partial part of the electricity demand of the offshore drilling rigs from on-peak time intervals to off-peak periods. In addition, battery energy storage contributes to the load curve smoothing strategy. A mixed-integer non-linear programming problem is developed under generalized algebraic mathematical modeling system to find the optimum fuel consumption and power generation schedules of the diesel producers, the value of demand increase/decrease, and the charge/discharge pattern of the battery at each operating time interval. A benchmark oil rig with

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Section: Numerical Results and Discussionmentioning

confidence: 99%

Optimization of a tidal‐battery‐diesel driven energy‐efficient standalone microgrid considering the load‐curve flattening program

Jabari

Arasteh

Fini

et al. 2021

Int Trans Electr Energ Syst

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“…These are charge/discharge power and state of charge (SoC). Since the battery capacity is limited, the SoC of the battery must be viewed as a dynamic quantity, as follows [10]:…”

Section: Active Power Dispatch By Bessmentioning

confidence: 99%

“…Depending on the function that the BESS performs in the DN, the objectives for the optimal power dispatch can be summarized in three groups: technical objectives, financial objectives, and multi-objectives. Financial objectives can be related to the maximization of revenues of a RES-BESS based hybrid power plant [10], the reduction in the energy cost from the source grid [11,12], as well as the minimization of distributed generators dispatch costs [13], power generation costs and load shedding costs [5]. Technical objectives are the base objectives and include the static voltage stability improvement [6], the transient voltage stability enhancement [8], the energy loss minimization [9], the voltage fluctuation mitigation [14], and minimization of the voltage deviations at load buses [15].…”

Section: Introductionmentioning

confidence: 99%

“…The big M method is used in [7] to transform the model into a mixed-integer linear programming problem and solved using a commercial software. The interior-point solver fmincon in MATLAB [9] and the simplex solver through docplex python library [10] are also suggested for the optimal power flow in DNs with the BESS, whereas Giuntoli et al [13] used the CaADdi framework for interfacing with the IPOPT solver for nonlinear programming. In recent research, some population-based methods, such as PSO, have been proposed to find the optimal power dispatch solution in the DN with the BESS [6,15].…”

Section: Introductionmentioning

confidence: 99%

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Dynamic Optimal Power Dispatch in Unbalanced Distribution Networks with Single-Phase Solar PV Units and BESS

Radosavljević¹,

Ktena²,

Gajic³

et al. 2023

Preprint

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The battery energy storage systems (BESS) are most promising solution for increasing efficiency and flexibility of distribution networks (DNs) with significant penetration level of photovoltaic (PV) systems. There are various issues related to the optimal operation of DNs with integrated PV sys-tems and BESS that need to be addressed to maximize DN performance. This paper deals with the day-ahead optimal active-reactive power dispatching in unbalanced DNs with integrated sin-gle-phase PV generation and BESSs. The objectives are the minimization of cost for electricity, en-ergy losses in the DN and voltage unbalance at three-phase load buses by optimal managing of active and reactive power flows. To solve this highly constrained nonlinear optimization problem, a hybrid particle swarm optimization with sigmoid-based acceleration coefficients (PSOS) and cha-otic gravitational search algorithm (CGSA), called PSOS-CGSA algorithm, is proposed. A scenario based approach encompassing the Monte Carlo simulation (MCS) method with the simultaneous backward reduction algorithm is used for the probabilistic assessment of the uncertainty of PV generation and power of loads. The effectiveness of the proposed procedure is evaluated through the series test cases in a modified IEEE 13-bus feeder.

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“…There have been various investigations in the literature regarding the short-term optimal offering and bidding challenges of wind-battery HPPs in electricity markets. Most of the existing literature about HPPs is mainly concerned with the offer of energy in day-ahead (DA) and/or intraday (ID) market to maximize revenues [9]- [14]. Furthermore, some of the investigations consider imbalance costs, which is settled in balancing market [15]- [19].…”

Section: Introductionmentioning

confidence: 99%

Optimal Participation of Co-located Wind-battery Plants in Sequential Electricity Markets

Zhu¹,

Das²,

Sørensen³

et al. 2022

Preprint

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<p>Since hybrid power plants (HPPs) play an intensive role in the energy supply balance of future energy systems, there is today an increased attention on co-located wind-battery HPPs both in industry and academia. However, the profitability of HPPs in sequential electricity markets to overcome initial investment costs has not been yet well examined, especially with respect to balancing services provision. This article proposes a novel energy management system (EMS) for optimal participation of wind-battery HPPs in two sequential electricity markets, namely in spot market and balancing market. The methodology consists of three optimization models, which allow HPPs to achieve energy arbitrage, to provide balancing services, and to reduce real-time imbalance costs. Furthermore, the profitability of HPPs in future (2030) energy scenario is analyzed based on the new designed and developed EMS taking balancing service into account. The results of the overplanting case show that HPPs operated based on the proposed EMS achieve net present value 3.6 times as high as sole operation in spot market.</p>

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Optimal battery operation for revenue maximization of wind-storage hybrid power plant

Cited by 25 publications

References 11 publications

Optimization of a tidal‐battery‐diesel driven energy‐efficient standalone microgrid considering the load‐curve flattening program

Optimization of a tidal‐battery‐diesel driven energy‐efficient standalone microgrid considering the load‐curve flattening program

Dynamic Optimal Power Dispatch in Unbalanced Distribution Networks with Single-Phase Solar PV Units and BESS

Optimal Participation of Co-located Wind-battery Plants in Sequential Electricity Markets

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