Modeling Market Power by Natural Gas Producers and Its Impact on the Power System

Spiecker, Stephan

doi:10.1109/tpwrs.2013.2262006

Cited by 32 publications

(13 citation statements)

References 27 publications

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“…Indeed, complementarity modeling is flexible enough to assess market designs with increasing VRE shares, energy storage, and the gas market, e.g., [23]- [27]. This provides a framework that is appropriate for the research question (CHP's impact on market power) and the case study (Nordic region) because:…”

Section: Research Objectives and Contributionmentioning

confidence: 99%

Market Power With Combined Heat and Power Production in the Nordic Energy System

Virasjoki

Siddiqui

Zakeri

et al. 2018

IEEE Trans. Power Syst.

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Abstract-The trend toward increasing energy efficiency and variable renewable energy (VRE) production has implications for combined heat and power (CHP) plants, which operate in both the price-driven power market and the district heating (DH) sector. Since CHP will be important in VRE integration, we develop a complementarity model to analyze CHP producers' roles in integrated markets. We use a Nordic case study to gain insights into (i) the effect of the link between CHP and DH on market power and (ii) market power's impact on operations in the DH sector. The results indicate that (i) the link of CHP to DH supply can increase market power and (ii) market power can induce shifts in DH production from heat-only to CHP.

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Section: Research Objectives and Contributionmentioning

confidence: 99%

Market Power With Combined Heat and Power Production in the Nordic Energy System

Virasjoki

Siddiqui

Zakeri

et al. 2018

IEEE Trans. Power Syst.

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“…For example, all types of energy are closely coupled, which makes them complementary and mutually beneficial, and they can realize cascade utilization and collaborative optimization of energy. Presently, research on IESs is mostly focused on three aspects: energy flow analysis and calculation [4], multi-energy system optimization scheduling [2,3], and multi-energy system planning and multi-market games [5,6].…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Energy Flow Calculation through the Nataf Transformation and Point Estimation

Qin

Fang

et al. 2019

Applied Sciences

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Featured Application: The work presented in this paper provides methods for probabilistic energy flow calculations and will serve as a reference for the operation and maintenance of integrated energy systems.Abstract: With the increasing capacity of renewable energy sources, uncertainties regarding renewable energy and other dynamic loads in integrated energy systems (IESs) are increasing. Thus, it is necessary to study the probabilistic energy flow (PEF) of IESs. However, existing PEF calculation methods such as the point estimate method (PEM) are computationally inefficient when there are many random variables and estimated points; moreover, relatively large errors can occur when the estimated points are outside their limits. Hence, this paper presents a calculation method that addresses these problems. Because there are correlations among the variables, the Nataf transformation is employed to control the correlation quickly and effectively. A model for an IES that is interconnected with natural gas and electricity systems and accounts for the uncertainties of wind plants, photovoltaic power plants, and dynamic gas loads is presented. Correlations between wind plants and photovoltaic power plants are handled using the Nataf transformation. Finally, a modified PEM is developed to solve the PEF. For situations in which the estimated points exceed their boundaries, the power transformation and equal constraint transformation methods are used. The results of time-domain simulations demonstrate the effectiveness of the proposed approach.Appl. Sci. 2019, 9, 3291 2 of 23 challenges in terms of energy uncertainties arise. The uncertainties come from the intermittency of RESs; additionally, the volatility of the loads in different energy structures aggravate the energy uncertainties in IESs [9], which creates significant challenges for the operation and maintenance of IESs. We can determine the probabilistic distribution of each node state in the IESs by calculating the probabilistic energy flow, which provides guidance to address possible risks. Therefore, the probabilistic energy flow (PEF) in IESs must be studied.The basis of PEF is the calculation of steady-state energy flow (SSEF), which has been studied extensively. Because of the similarity between the SSEF model of the power system and the gas network, Newton's method can be used to solve the SSEF of the gas network. When the initial point of Newton's method is near the equilibrium point, the method has good and fast convergence. Moreover, the IES mostly works near the equilibrium point. Therefore, Newton's method is a commonly used method for solving the energy flow problem. Moreover, the solutions obtained using this method for multiple energy systems can be divided into two forms according to the Jacobian matrices used in the solution, i.e., separate Newton iterations for each system [10] or a unified Newton iteration for all systems [11]. In [10], each energy system (e.g., power system or natural gas system) is represented by its own Jacobian matrix and inde...

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“…With the increasingly tightened coupling of energy systems with multiple carriers, the advent of integrated energy markets will greatly promote energy transaction and sharing among different physical systems. Along this line of research, the market power of natural gas producers on the power market was investigated in [22]. A multilateral trading model for the gas-heat-power coupled system was proposed in [23] and the market behaviors of different energy systems were considered.…”

Section: Introductionmentioning

confidence: 99%

Analyzing and validating the economic efficiency of managing a cluster of energy hubs in multi-carrier energy systems

et al. 2018

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Modeling Market Power by Natural Gas Producers and Its Impact on the Power System

Cited by 32 publications

References 27 publications

Market Power With Combined Heat and Power Production in the Nordic Energy System

Market Power With Combined Heat and Power Production in the Nordic Energy System

Probabilistic Energy Flow Calculation through the Nataf Transformation and Point Estimation

Analyzing and validating the economic efficiency of managing a cluster of energy hubs in multi-carrier energy systems

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