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Understanding electricity consumers participating in new demand response schemes is important for investment decisions and the design and operation of electricity markets.
Absent an explicit price on carbon, RTOs should be alert to avoiding many variants of implementation mechanisms that lead to fundamentally undermining the operation of electricity markets.
On the other hand, the combined operation of electricity and heating system has been investigated in several literatures as [5, 6, 7, 8, 18, 19].
The use of distributed generators (DGs) is constantly increasing, and consequently the planning and the operation of electricity distribution networks is becoming more complicated [1, 2].
Since the introduction of intermittent renewable energy resources in the electricity markets, the role of energy storage is becoming increasing important for the reliable operation of electricity grid.
In [20], a robust co-optimization scheduling model considering the influence of PtG technology is proposed to coordinate the day-ahead operation of electricity and natural gas systems with uncertainties.
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Dr. Mileva's work focuses on modeling the operations of electricity systems with high penetration levels of intermittent renewable energy.
In order to address the challenges, this paper proposes an integrated robust optimization model to coordinate the operation scheduling of electricity and natural gas systems while considering electrical load and wind generation uncertainties.
The total operation cost of electricity and natural gas systems is shown in Table 1.
Electricity utility economics and operations, especially operation of competitive electricity markets, and dispersed energy resources.
The optimal operation of the electricity network plays a significant role because the electricity network is the main network included in the IES.
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