Many researches on coordinated optimization of combined gas and electricity system are conducted. With rapid growth of international trade of liquefied natural gas (LNG), proportion of LNG terminal as a new gas source in all gas sources increases continually. Natural gas is a critical clean energy, and gas-fired generating unit plays significant role in power system operation. The numerical results demonstrate that P2G cost characteristics can significantly affect the day-ahead scheduling of the PGHIS, and the proposed model can effectively achieve a compromise solution. Finally, the ε-constraint and entropy weight methods are used to solve the multi-objective model. Then, a multi-objective day-ahead scheduling model of the PGHIS is proposed to coordinate the trade-off between its operational costs and the wind power utilization. First, a PGHIS including P2G is introduced, and different kinds of P2G operational costs are clarified to capture the cost characteristics of the P2G. In this paper, a PGHIS scheduling model considering the P2G cost and wind power utilization is proposed to analyze the impact of the P2G cost characteristics. However, the higher operational costs will affect the application of P2G on PGHIS scheduling, which cannot be ignored. Power-to-gas (P2G) technology-a promising way to connect power and gas networks-will be widely used in the power-gas-heating integrated system (PGHIS) to promote its operational flexibility. It can also be seen that given a proper charging strategy, this capacity can be less than 200 MWh. As shown in the paper, due to an improper charging strategy in the first quarter of a month, the ESSPC size has increased from its optimal size of 314 MWh to roughly 576 MWh. It is also concluded that the capacity of the ESS can be affected, given a proper charging and production strategy, which needs to be tailored to each system. As a result, it is found that surplus energy from RES can be stored and then used to support the electrical grid and the natural gas grid.
The size of the ESS is then observed with regards to the RES and PtG systems. Charging strategies are developed accordingly for the ESS as well as production strategies for the PtG system. A simulation case is created with an electrical and a natural gas grid as well as steady-state models of RES and PtG.
The purpose of this paper is to develop a coordination strategy between a battery energy storage and a PtG system. Finally, the case studies realize the accurate quantification of the dynamic safety of overloaded line, avoiding equipment damage, power supply interruption and even large‐scale cascading failure caused by line overload.Ĭoncerning the rapid development and deployment of Renewable Energy Systems (RES) and Energy Storage System (ESS) including Power-to-Gas (PtG) technology can significantly improve the friendliness of the integration of renewable energy. Moreover, establishing the preventive control optimization model of overload line, the overload preventive control method which considers power adjustment capability of overload line and dynamic security domain is proposed. Considering the dynamic changes of line safety boundary and margin in the process of power adjustment, proposing a new idea of dynamic safety domain for evaluating line safety, a modeling method of dynamic safety domain is further proposed. Considering the influence of the locations of SGs, GTs, and P2Gs and power balance constraints, proposing a modeling method of power adjustment capacity of overload line. However, the power adjustment capability of SGs, GTs, and P2Gs to recover the overload line cannot be accurately described, the impact of line power variation on safety also cannot be quantified, leading to the difficulty of control of overload line. The system provides powerful measures to safely recover the overload line by adjusting the power of synchronous generators (SG), gas turbines (GT), and power‐to‐gas (P2G).
The power‐gas integrated system (PGIS) is a new trend of energy development.
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