Coordination of interdependent natural gas and electricity systems based on information gap decision theory

Abstract

The interactions of the natural gas network and the electricity system are increased by using gas-fired generation units, which use natural gas to produce electricity. There are various uncertainty sources such as the forced outage of generating units or market price fluctuations that affect the economic operation of both natural gas and electricity systems. This paper focuses on the steady-state formulation of the integrated natural gas transmission grid and electricity system by considering the uncertainty of electricity market price based on information gap decision theory. The higher and lower costs than the expected cost originated from the fluctuations of electricity market price are modelled by the robustness and opportunity functions, respectively. The objective is to minimize the cost of zone one while satisfying the constraints of two interdependent systems, which can obtain revenue from selling power to its connected zones in short-term scheduling. The capability of the proposed method is demonstrated by applying it on a 20-node natural gas network and IEEE RTS 24-bus. The proposed short-term coordination between natural gas and electricity infrastructures is solved and discussed.

Power to air transportation via hydrogen

“…These generators are supplied by gas networks. The technical and economic set-points of gas networks will be affected [43].…”

Power system operation considering detailed modelling of the natural gas supply network

“…Qadrdan et al [29]- [31] investigated how the increase in wind power plants impacts on the British gas network. Sohrabi et al [32], performed steady-state integrated NG transmission network and power system formulation, taking into account the market price of electricity on the basis of the information gap decision theory. The impact of NG system on the short-term planning of the electricity system considering a considerable increase of renewable energies is presented in [33].…”

A novel hybrid two-stage framework for flexible bidding strategy of reconfigurable micro-grid in day-ahead and real-time markets

“…This approach has been widely used by researchers in various problems, including power and natural gas integration, electric vehicle (EV) management, biding strategy of combined heat and power (CHP) unit, security-constrained unit commitment (SCUC) etc. [42][43][44][45][46][47][48][49]. A non-probabilistic decision-making based on the IGDT approach for a CHP unit to participate in day-ahead market has been presented in [44].…”

“…To manage the revenue risk of EVs aggregator and restraining the system in confronting different uncertain parameters (such as energy price and RES power output), the IGDT approach has been utilized in [47]. In [48], the integration of electric and natural gas systems considering power price uncertainty handled with the IGDT approach has been proposed. The main objective of the method presented is to minimize the operation cost while satisfying the interdependency constraints between electricity and natural gas networks.…”