Industrial power demand response analysis for one-part real-time pricing

Roos, J.G.; Lane, I.E.

doi:10.1109/59.651628

Cited by 100 publications

(50 citation statements)

References 5 publications

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“…The operation strategy addresses either market conditions, grid balancing, optimal PV utilization, load shifting, or self-consumption (see Table 1). Real-time pricing (RTP) is often discussed to control loads and storage systems [34][35][36][37], reflecting the real cost of electricity generation [37]. The Austrian Energy Stock Market (EXAA) offers daily block-based, hour-based and 15-min-based day-ahead stock market prices for electricity [38].…”

Section: Incentivesmentioning

confidence: 99%

Battery Storage Systems as Grid-Balancing Measure in Low-Voltage Distribution Grids with Distributed Generation

et al. 2017

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Due to the promoted integration of renewable sources, a further growth of strongly transient, distributed generation is expected. Thus, the existing electrical grid may reach its physical limits. To counteract this, and to fully exploit the viable potential of renewables, grid-balancing measures are crucial. In this work, battery storage systems are embedded in a grid simulation to evaluate their potential for grid balancing. The overall setup is based on a real, low-voltage distribution grid topology, real smart meter household load profiles, and real photovoltaics load data. An autonomous optimization routine, driven by a one-way communicated incentive, determines the prospective battery operation mode. Different battery positions and incentives are compared to evaluate their impact. The configurations incorporate a baseline simulation without storage, a single, central battery storage or multiple, distributed battery storages which together have the same power and capacity. The incentives address either market conditions, grid balancing, optimal photovoltaic utilization, load shifting, or self-consumption. Simulations show that grid-balancing incentives result in lowest peak-to-average power ratios, while maintaining negligible voltage changes in comparison to a reference case. Incentives reflecting market conditions for electricity generation, such as real-time pricing, negatively influence the power quality, especially with respect to the peak-to-average power ratio. A central, feed-in-tied storage performs better in terms of minimizing the voltage drop/rise and shows lower distribution losses, while distributed storages attached at nodes with electricity generation by photovoltaics achieve lower peak-to-average power ratios.

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Section: Incentivesmentioning

confidence: 99%

Battery Storage Systems as Grid-Balancing Measure in Low-Voltage Distribution Grids with Distributed Generation

et al. 2017

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“…A method for clustering DR participants into small industrial, small and medium commercial and residential loads has been proposed to investigate the potential of different clusters in implemented day-ahead market (DAM) and real-time pricing market (RTPM) [25]. Controllable industrial bulk loads in a proposed load scheduling strategy have been studied to minimize electricity cost under real-time pricing (RTP) [26]. Results showed that concave load profiles could participate more actively in DR program leading to more cost saving.…”

Section: Demand Response Experiences Within Smart Grid Environmentmentioning

confidence: 99%

Demand response for sustainable energy systems: A review, application and implementation strategy

Shariatzadeh¹,

Mandal

Srivastava

2015

Renewable and Sustainable Energy Reviews

300

157

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“…The response of a nonlinear mathematical model is analyzed for the calculation of the optimal prices for electricity assuming default customers under different scenarios and using five different mathematical functions for the consumer response: linear, hyperbolic, potential, logarithmic and exponential in [19]. The electricity cost saving potential of RTP through demand management is presented in [20]. • Regulating the benefit of distribution companies: Respecting the rules compiled by the regulator, distribution companies constantly try to make compromises on pricing and reliability improvement.…”

Section: Introductionmentioning

confidence: 99%

Demand response regulation modeling based on distribution system asset efficiency

Dashti

Afsharnia

2011

Electric Power Systems Research

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Industrial power demand response analysis for one-part real-time pricing

Cited by 100 publications

References 5 publications

Battery Storage Systems as Grid-Balancing Measure in Low-Voltage Distribution Grids with Distributed Generation

Battery Storage Systems as Grid-Balancing Measure in Low-Voltage Distribution Grids with Distributed Generation

Demand response for sustainable energy systems: A review, application and implementation strategy

Demand response regulation modeling based on distribution system asset efficiency

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