Demand side management of industrial electricity consumption: Promoting the use of renewable energy through real-time pricing

Finn, P.; Fitzpatrick, Colin

doi:10.1016/j.apenergy.2013.07.003

Cited by 204 publications

(82 citation statements)

References 7 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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“…Flexible demand (demand side management) is one of the primary and economical alternatives to smoothen the power imbalance [77]. In this analysis, we investigate the impact of an additional flexibility of 300 MWe with 24 h time span in offsetting the power excess.…”

Section: Flexible Demandmentioning

confidence: 99%

Wind Integration into Energy Systems with a High Share of Nuclear Power—What Are the Compromises?

2015

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Towards low-carbon energy systems, there are countries with ongoing plans for expanding their nuclear power capacity, and simultaneously advancing the role of variable renewable energy sources (RES), namely wind and solar energy. This crossroads of capital-intensive, baseload power production and uncontrollable, intermittent RES may entail new challenges in the optimal and economic operation of power systems. This study examines this case by hourly analysis of a national-level energy system with the EnergyPLAN modeling tool, coupled with wind integration simulations (including uncertainty) implemented using MATLAB. We evaluate the maximum feasible wind integration under different scenarios for nuclear power plants, energy demand, and the flexibility of energy infrastructure for a real case study (Finland). We propose wind-nuclear compromise charts to envision the impact of any mix of these two technologies on four parameters: total costs, power exchange, carbon emissions, and renewable energy integration. The results suggest that nuclear power constrains the room for maximum uptake of wind energy by a descending parabolic relationship. If nuclear power production exceeds 50% of the total power demand, wind will be unlikely to penetrate in shares over 15% of the respective demand. Moreover, we investigate the role of four flexibility options: demand side management, electrical energy storage, smart electric heating, and large-scale heat pumps (backed with thermal energy storage). Heat pumps (which are in connection with combined heat and power (CHP) and district heating systems) offer the highest efficiency in balancing excess power from variable RES. However, power-to-heat options offer a limited OPEN ACCESSEnergies 2015, 8 2494 capability for absorbing high-level excess power, as oversupply arises mainly in the periods with relatively low demand for heat. This calls for longer-term energy storage and/or other flexibility options to achieve the planned targets in wind-nuclear scenarios.

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“…Therefore, it is important for electric power system operators to make full use of household RTP. Recent studies mainly focused on how to increase proportion of using intermittent energy resources by RTP in electric markets [1][2][3][4][5][6][7][8][9]. Based on time-dependent and price-dependent characteristics of RTP, a RTP model used in day-ahead markets is built to minimize the expected total payment in [2].…”

Section: Introductionmentioning

confidence: 99%

“…RTP is modeled by adopting marginal pricing to justify the price function at a base price associated with base load level in a residential area [5]. In [6], the implementation of price based on demand response by an industrial consumer can increase the proportion of using wind power electricity. A game theoretical model accounting for the Stackelberg relationship between retailers and consumers in a dynamic price environment is proposed in [10].…”

Section: Introductionmentioning

confidence: 99%

Economic optimization of smart distribution networks considering real-time pricing

Zhang

Zhao

et al. 2014

J. Mod. Power Syst. Clean Energy

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With the development of smart meters, a realtime pricing (RTP) demand response is becoming possible for households in distribution networks. The power flow can be bidirectional in distribution networks which become smarter with distributed generators (DGs). It is expensive to import electricity from the generation far from load centers because of the cost of power loss and network use, so that it is more economical to use electricity generated by local distributed generators. Therefore, in order to curtail operating costs of distribution networks, this paper proposes a model of economic optimization conducted by distribution network operators. The electricity purchasing costs for distribution network operators are minimized by optimizing electric power from transmission systems and local distributed generators. Further, based on price elasticity, the formulations of load demand considering RTP are proposed with economic optimization of distribution networks. The economic optimization problems are resolved by an interior point method. The case study shows that peak load demand can be reduced about 3.5% because the household RTP and electricity purchasing costs of distribution network operators can save 28.86 £ every hour.

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Demand side management of industrial electricity consumption: Promoting the use of renewable energy through real-time pricing

Cited by 204 publications

References 7 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

Wind Integration into Energy Systems with a High Share of Nuclear Power—What Are the Compromises?

Economic optimization of smart distribution networks considering real-time pricing

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