Optimal Coordination of Aggregated Hydro-Storage with Residential Demand Response in Highly Renewable Generation Power System: The Case Study of Finland

Bashir, Arslan Ahmad; Lehtonen, Matti

doi:10.3390/en12061037

Cited by 8 publications

(10 citation statements)

References 18 publications

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“…The heating or cooling load in a detached house is modeled using a two-capacity thermal model [3], [16]. The model has good accuracy in capturing the indoor air dynamics relative to the outdoor temperature changes.…”

Section: A Two-capacity Building Modelmentioning

confidence: 99%

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Minimizing Wind Power Curtailment and Carbon Emissions by Power to Heat Sector Coupling—A Stackelberg Game Approach

et al. 2020

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This paper proposes a Stackelberg game approach to minimize both the wind power imbalances and carbon emissions by harnessing demand response (DR) of residential heating loads fed by electricity or district heating (DH) options. The problem is formulated as a bilevel optimization model. An aggregator (leader) at the upper level aims at minimizing the mismatch between electricity demand and wind power while mitigating the carbon emissions arising from the DH system. The aggregator owns a wind farm and is responsible for controlling the DH generation through a combustion-based source and a deep well heat pump system (DWHP), which converts power into heat by utilizing wind power and replacing combustion-based DH. The aggregator submits bonuses to the households (followers) at the lower level incentivizing them to modify their consumption profile. The households receive the bonus offers and consequently decide how to optimize their net electricity and DH energy payments via an upward or downward DR strategy. The uncertainties associated with wind power and heating loads are considered using a stochastic programming framework. Long term thermal performance of the DWHP is studied separately. Results prove that the proposed bilevel framework enables significant reductions in wind power imbalances, carbon emissions, and energy payments. INDEX TERMS Stackelberg game, demand response, district heating, deep well heat pump, bilevel optimization, power to heat, sector coupling

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Section: A Two-capacity Building Modelmentioning

confidence: 99%

“…Their integration into the current electrical grid poses a big challenge that requires smart grid solutions. Without such solutions, the power system operation would suffer from enormous renewable generation curtailments that undermine the optimal development of such renewable technologies [3].…”

Section: Introductionmentioning

confidence: 99%

Minimizing Wind Power Curtailment and Carbon Emissions by Power to Heat Sector Coupling—A Stackelberg Game Approach

et al. 2020

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“…On top of this, generation from the new wind power capacity was added and the operation of hydropower was optimized to mitigate the absolute gap between the total electricity supply and demand in each hour of the year. The absolute value function can be reformulated using two positive auxiliary variables [23]. The model is linear, and it has hydropower as the variable with five associated constraints to capture the hydro-storage dynamics.…”

Section: System Setupmentioning

confidence: 99%

“…The model is linear, and it has hydropower as the variable with five associated constraints to capture the hydro-storage dynamics. These simulations were performed with the Matlab (v 9.8)-GAMS (v 25.1.1) platform while the problem was solved via the CPLEX solver, in a similar manner as in [23]. The model was implemented on a Windows desktop computer with a 3.4 GHz Intel Xeon processor and 16 GB RAM.…”

Section: System Setupmentioning

confidence: 99%

Carbon Emission Reduction Potential in the Finnish Energy System Due to Power and Heat Sector Coupling with Different Renovation Scenarios of Housing Stock

et al. 2020

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In the pursuit of mitigating the effects of climate change the European Union and the government of Finland have set targets for emission reductions for the near future. This study examined the carbon emission reduction potential in the Finnish energy system with power-to-heat (P2H) coupling of the electricity and heat sectors with different housing renovation levels. The measures conducted in the energy system were conducted as follows. Wind power generation was increased in the Finnish power system with 10 increments. For each of these, the operation of hydropower was optimized to maximize the utilization of new wind generation. The excess wind generation was used to replace electricity and heat from combined heat and power production for district heating. The P2H conversion was performed by either 2000 m deep borehole heat exchangers coupled to heat pumps, with possible priming of heat, or with electrode boilers. The housing stock renovated to different levels affected both the electricity and district heating demands. The carbon emission reduction potential of the building renovation measures, and the energy system measures were determined over 25 years. Together with the required investment costs for the different measures, unit costs of emission reductions, €/t-CO2, were determined. The lowest unit cost solution of different measures was established, for which the unit cost of emission reductions was 241 €/t-CO2 and the reduced carbon emissions 11.3 Mt-CO2 annually. Moreover, the energy system measures were found to be less expensive compared to the building renovation measures, in terms of unit costs, and the P2H coupling a cost-efficient manner to increase the emission reductions.

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“…The Micro Hydro Power System (MHPS), as one of the cleanest renewable energy sources and the most cost-effective energy technology, being approximately three times cheaper than small wind electric generators, four times cheaper than diesel and natural gas engines, and eight times cheaper than a photovoltaic system, is becoming more and more popular in modern society. The Pico Hydro Power System (PHPS) has also become a hot topic due to its environmental friendliness and strong practicability [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Optimization Design of a Rain-Power Utilization System Based on a Siphon and Its Application in a High-Rise Building

Wang

2020

Energies

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Rain falling from the sky is viewed as a clean energy source with a great potential, owing to the large amount of it and its zero pollution nature, the fact that it has scattered raindrops, and its characteristic rainfall concentration that promotes extensive research on harvesting and utilization. Here, we introduce a new approach to harvest rainwater on rooftops called the Rain-Power Utilization System, which is composed of an initial rainwater disposal system and multistage energy conversion system. Initial rainwater is discharged into a split-flow pipe due to its poor quality and impurities. Additionally, clean rainwater is accumulated in a storage pipe until the water level reaches a specified height, triggering siphonage for energy conversion. The same process is repeated in other storage pipes connected in series. Function relations among physical and dimension parameters have been established for further studies. A kind of simplified optimization algorithm has been proposed considering the maximum instantaneous power under the constraint of a permitted vacuum and maximum energy generation per unit length to find the model with an optimal height combination (hu, hd). The experimental prototype developed in proportion is used to verify theoretical research and conduct error analysis to establish an equation of annual energy generation for a high-rise building. Without building extra tanks, this paper presents an innovative approach to maximizing the use of energy in rain for high-rise buildings based on a siphon.

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Optimal Coordination of Aggregated Hydro-Storage with Residential Demand Response in Highly Renewable Generation Power System: The Case Study of Finland

Cited by 8 publications

References 18 publications

Minimizing Wind Power Curtailment and Carbon Emissions by Power to Heat Sector Coupling—A Stackelberg Game Approach

Minimizing Wind Power Curtailment and Carbon Emissions by Power to Heat Sector Coupling—A Stackelberg Game Approach

Carbon Emission Reduction Potential in the Finnish Energy System Due to Power and Heat Sector Coupling with Different Renovation Scenarios of Housing Stock

Optimization Design of a Rain-Power Utilization System Based on a Siphon and Its Application in a High-Rise Building

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