Optimal operation of integrated electrical, district heating and natural gas system in wind dominated power system

Turk, Ana; Zeng, Qing; Wu, Qiuwei; Nielsen, Arne Hejde

doi:10.12720/sgce.9.2.237-246

Cited by 6 publications

(7 citation statements)

References 8 publications

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“…3. The system consists of a modified 6-bus system [16] and 4-node DHS [45]. The EPS includes two thermal units (G1 and G2), two wind farms (W1 and W2) and one CHP unit.…”

Section: Simulation Resultsmentioning

confidence: 99%

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Adaptive robust energy and reserve co-optimization of integrated electricity and heating system considering wind uncertainty

Tan¹,

Wu²,

et al. 2020

Applied Energy

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“…3. The system consists of a modified 6-bus system [16] and 4-node DHS [45]. The EPS includes two thermal units (G1 and G2), two wind farms (W1 and W2) and one CHP unit.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Constraint (44) denotes the inequalities in the second stage ( 33)-( 36) and ( 38)- (40). Constraint (45) refers to (37) and (41). Constraint (46) states that y are positive variables.…”

Section: Robust Compact Formulationmentioning

confidence: 99%

Adaptive robust energy and reserve co-optimization of integrated electricity and heating system considering wind uncertainty

Tan¹,

Wu²,

et al. 2020

Applied Energy

Self Cite

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“…The objective is to minimise the HRES cost in DA scheduling. The test-case study is grid-connected with the electric and gas Danish grid [2] shown in (1).…”

Section: A Objective Functionmentioning

confidence: 99%

“…The intense exploitation of fossil resources has caused massive emissions creating climatic and environmental consequences challenging the world authorities to take action by sustainably managing resources. In fact, the Paris Agreement in 2015 imposes limits on the increase of the global temperature by 2°C [1], and in June 2020, Denmark decided to decrease GHG emissions by 70% compared to 1990 by 2030 [2]. Therefore, there has been a great search for carbon-free energy resources to reduce the environmental impact since 34% of global CO2 will be emitted only by the electricity sector in 2020 [3].…”

Section: Introduction (Heading 1)mentioning

confidence: 99%

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Sustainability analysis and Power-to-Methane mathematical model comparison of Hybrid Renewable Energy System Day-Ahead scheduling

Sorrenti

Rasmussen²,

Singlitico

et al. 2022

2022 International Conference on Renewable Energies and Smart Technologies (REST)

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Sustainability is a topic that is becoming more and more important in energy production systems. Due to new energy policies, hydrogen is receiving increasing attention as a carbon-free energy carrier embedded in hybrid renewable energy systems (HRES). This paper presents a sustainability analysis of the HRES operation involving electrolytic hydrogen production and conversion to methane through Power-to-Methane (PtM). The analysis is based on day-ahead (DA) scheduling to accomplish the minimum HRES operating cost by comparing two PtM models: A simple rigid model with constant input/output efficiency without hydrogen storage and a linearised electrolyser and methane model with hydrogen storage. The subsequent analysis is conducted by adding heat and gas accumulators in the linearised PtM model to evaluate the added flexibility of these components. Based on the optimal DA programming solution, the three PtM representations are compared based on their respective operating costs and carbon dioxide emissions. The outcomes show that hydrogen into the HRES via a PtM process is not a direct sign of sustainability and that the environmental impact depends on the electricity source provided by the electrolyser. Therefore, this paper highlights that the growth of RES and the integration of PtM should go in synergy and deducting that a more accurate model is required to understand the potential of PtM.

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Adaptive robust energy and reserve co-optimization of an integrated electricity and heating system considering wind uncertainty

Wu¹,

Tan²,

Zhang³

et al. 2022

Optimal Operation of Integrated Multi-Energy Systems Under Uncertainty

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The uncertainty and variability of wind power pose significant challenges to secure and reliable operation of power systems. Coordinated operation of the electric power system and district heating system, which can provide sufficient reserve capacity and flexibility, is an effective way to cope with the uncertainty. This paper proposes an adaptive robust energy and reserve co-optimization for the integrated electricity and heat system to minimize the total system cost under the worst-case realization of wind uncertainty considering spatial correlations of wind uncertainties. The available reserve capacity and flexibility provided by the district heating system is fully used by exploiting the regulation capabilities of combined heat and power units and electrical boilers, as well as utilizing the building thermal inertia. To reduce the conservatism of the robust solution, the spatial correlation of wind uncertainties is considered in the uncertainty set. The column-and-constraint generation algorithm is adopted to solve the adaptive robust model iteratively by reformulating the second stage with its Karush-Kuhn-Tucker conditions. Simulation results demonstrate that the economic efficiency is improved by utilizing the reserve flexibility from the district heating system and considering wind farm spatial correlations. Compared with the conventional single-stage optimized model, the feasibility of the two-stage robust solution is always guaranteed by considering the real-time operation constraints of the electric power system and district heating system. HighlightsA two-stage adaptive robust energy and reserve co-optimization scheme is proposed. The spatial correlation of wind uncertainty is used to control the conservatism of robust solutions. The available reserve capacity of combined heating and power units is fully utilized. Electrical boiler and buildings' thermal inertia are introduced to increase the reserve capacity.

show abstract

Optimal operation of integrated electrical, district heating and natural gas system in wind dominated power system

Cited by 6 publications

References 8 publications

Adaptive robust energy and reserve co-optimization of integrated electricity and heating system considering wind uncertainty

Adaptive robust energy and reserve co-optimization of integrated electricity and heating system considering wind uncertainty

Sustainability analysis and Power-to-Methane mathematical model comparison of Hybrid Renewable Energy System Day-Ahead scheduling

Adaptive robust energy and reserve co-optimization of an integrated electricity and heating system considering wind uncertainty

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