Electricity adjustment for capacity market auction by a district heating and cooling system

Ito, Masakazu; Takano, Akihisa; Shinji, Takao; Yagi, Takahiro; Hayashi, Yasuhiro

doi:10.1016/j.apenergy.2017.08.210

Cited by 15 publications

(7 citation statements)

References 32 publications

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“…Considering the hydraulic network operates in the steady state, the conservation of mass and pressure energy is also satisfied, respectively [10], which is described by the flow continuity equation in (7) and the loop pressure equation in (8). Am = m q (7) B(Dp) = 0 (8) where A is the node-branch incidence matrix; B is the loopbranch incidence matrix of the DH network; and m q is the nodal flow injection vector.…”

Section: ) Hydraulic Networkmentioning

confidence: 99%

“…The variance matrices are given in advance, which are determined by the historical estimates and measurements. Equation (39) is the measurement function of the electricity network [20]; (40) is the measurement function of the DH network including ( 6), ( 11) and ( 12) [27]; (41) represents the flow continuity equation in (7), by setting m q = 0; (42) represents the loop pressure equation, by substituting ( 6) into ( 8); (43) is the matrix form of (10), which represents the thermal constraints of water mixers, where -A and -A are the positive and negative incidence matrices which can be obtained from matrix A [34]; (44) is the matrix form of (24), which represents the thermal constraints of pipelines considering the transport delay; and (45) represents the constraints of the coupling components at the boundary area of the integrated network.…”

Section: B Formulation Of Sementioning

confidence: 99%

“…Reference [6] proposed a decentralized solution of the coordinated dispatch of electric power and district heating (DH) networks. As the coupling between the electricity network and the DH network became tighter, the marketing model [7] and demand-side management model [8] had been further studied, to make the best of the potential flexibility.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Hybrid State Estimation Approach for Integrated Heat and Electricity Networks Considering Time-scale Characteristics

Sheng

Yin

Guo

et al. 2020

Journal of Modern Power Systems and Clean Energy

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State estimation (SE) usually serves as the basic function of the energy management system (EMS). In this paper, the time-scale characteristics of the integrated heat and electricity networks are studied and an SE model is established. Then, a two-stage iterative algorithm is proposed to estimate the time delay of heat power transportation in the pipeline. Meanwhile, to accommodate the measuring resolutions of the integrated network, a hybrid SE approach is developed based on the two-stage iterative algorithm. Results show that, in both steady and dynamic processes, the two-stage estimator has good accuracy and convergence. The hybrid estimator has good performance on tracking the variation of the states in the heating network, even when the available measurements are limited.

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Section: ) Hydraulic Networkmentioning

confidence: 99%

Section: B Formulation Of Sementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Hybrid State Estimation Approach for Integrated Heat and Electricity Networks Considering Time-scale Characteristics

Sheng

Yin

Guo

et al. 2020

Journal of Modern Power Systems and Clean Energy

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“…The proposed applications are explained briefly in Section 6. The obtained VES could be considered as microgrid version of the electricity adjustment which is proposed for capacity market auction in [59].…”

Section: Mathematical Modelling Of the Refrigeratorsmentioning

confidence: 99%

Virtual energy storage capacity estimation using ANN‐based kWh modelling of refrigerators

2018

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Prolific integration of renewable energy sources (RESs) such as solar photovoltaic systems into the distribution network will result in various issues associated with their intermittent nature. Energy storage is a vital component for overcoming issues associated with the intermittent nature of such RES. Though stationary battery systems are used as energy storage for such applications, smart energy storage (SES) systems are also becoming popular owing to various advantages and advent of smart grid systems. SES can be achieved by aggregating electric vehicles (EVs) or by using demand response management for loads with large time constants. Aggregated residential refrigerators are potential candidates for creating SES which has virtual storage capacity, unlike EVs. In this study, residential refrigerators are modelled analogously to energy capacity and selfdischarge of electro-chemical batteries using the artificial neural network based kWh modelling. The model is further extended to estimate the virtual energy storage (VES) capacity with aggregated residential refrigerators; particularly in high-rise residential buildings. Simulation results are presented for scenarios covering the complete range of thermal capacity of typical refrigerators applicable in Singapore's climatic condition. Furthermore, a brief description of the possible applications for the estimated VES, pertaining to smart grid architecture and cyber-attack is also presented.

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“…Following the same principle of producing heat when the electricity price is low and produce power and heat with the CHP when the electricity price is high, the authors in [15] evaluate the scheduling of different heat production units under electricity price and heat demand uncertainty with two-stage stochastic programming. Finally, the approach proposed in [16] integrates many different heat and cooling production units and use optimization to operate them as a portfolio. The system offers capacity to the electricity market to accommodate power fluctuations by the interplay of the different units.…”

Section: Introductionmentioning

confidence: 99%

A novel bidding method for combined heat and power units in district heating systems

Blanco¹,

Andersen²,

Guericke³

et al. 2019

Energy Syst

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We propose a bidding method for the participation of combined heat and power (CHP) units in the day-ahead electricity market. More specifically, we consider a district heating system where heat can be produced by CHP units or heat-only units, e.g., gas or wood chip boilers. We use a mixed-integer linear program to determine the optimal operation of the portfolio of production units and storages on a daily basis. Based on the optimal production of subsets of units, we can derive the bidding prices and amounts of electricity offered by the CHP units for the day-ahead market. The novelty about our approach is that the prices are derived by iteratively replacing the production of heat-only units through CHP production. This results in an algorithm with a robust bidding strategy that does not increase the system costs even if the bids are not won. We analyze our method on a small realistic test case to illustrate our method and compare it with other bidding strategies from literature, which consider CHP units individually. The analysis shows that considering a portfolio of units in a district heating system and determining bids based on replacement of heat production of other units leads to better results.

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Electricity adjustment for capacity market auction by a district heating and cooling system

Cited by 15 publications

References 32 publications

A Hybrid State Estimation Approach for Integrated Heat and Electricity Networks Considering Time-scale Characteristics

A Hybrid State Estimation Approach for Integrated Heat and Electricity Networks Considering Time-scale Characteristics

Virtual energy storage capacity estimation using ANN‐based kWh modelling of refrigerators

A novel bidding method for combined heat and power units in district heating systems

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