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To expedite the restoration of high-penetration new energy power systems following outages， a partitioning method for parallel restoration is proposed. This method takes into account the characteristics of new energy output. Multi-time-step series scenarios are generated by comprehensively considering spatiotemporal correlation of the output of new energy power supply. An expected multi-time-step series scenario of new energy power supply， considering occurrence probability of each series scenario， is constructed. Based on the expected multi-time-step series scenario of the new energy power supply， the available power of each charged domain is determined， and each charged domain is partitioned accordingly. In cases where there is overlap in partitioning， adjustments are made for objects to be restored in the overlapping areas. Factors considered include time inertia constants， ramp rate， adjustment rate， expected additional generation capacity， and the restoration value of the de-energized branches. Finally， using the IEEE118-bus system as a basis， it is demonstrated that the proposed partitioning method for parallel restoration can accelerate the grid restoration and reduce the power outage losses.

Carbon Capture, Utilization and Storage (CCUS) is one of the key technologies for realizing large-scale low-carbon utilization of coal-fired power plants in service. How to evaluate its economics is crucial to the decision-making of traditional coal-fired power enterprises. This paper analyzes the changes in the physical, emission and economic parameters of in-service coal-fired power plants without and with the CCUS retrofit. A method for evaluating the economic feasibility of coal-fired power plants retrofitting based on net cash flow is proposed, which compares the impact of CCUS retrofit on the net present value of the remaining life cycle of the power plant. The impact of uncertain parameters such as carbon dioxide sales unit price, carbon capture device operating cost, free carbon quota, and carbon emission right price on the evaluation results are analyzed.

After providing a better service for nearby heating loads, a thermal storage electric boiler system can use the heat storage tank to participate in the peak-shaving and reserve services of the power grid. Current researches focus on its peak-shaving capacity, but ignores the use of its reserve capacity, which is important to the random fluctuations of renewable energy sources. Facing the actual analyzing demands on power system adequacy, this paper starts with the discussion of typical operation modes, and builds the powersystem- adequacy model of a thermal-storage electric boiler based heating system. Based on the presented model, the concept of feasible domain for heat charging and discharging is proposed. By implementing the concept, the quantitative evaluation method to calculate the reserve capacity of a thermal storage electric boiler system is proposed. The verification of the method is also given. Based on the planning data of an actual power grid, the short-term reserve capacity as well as the effect on promoting renewable energy consumption is estimated according to the given size of the provincial thermal storage electric boiler clusters. Finally, the influences of different choices of peak-shaving strategies, heat storage tank capacity on its reserve capacity are simulated and analyzed.