New Paths Towards Carbon-Neutral Future Energy Systems: Planning, Operation and Market Design

New Paths Towards Carbon-Neutral Future Energy Systems: Planning, Operation and Market 9 Design 10 Conventional energy infrastructures that heavily relied on fossil fuels are considered as the 11 primary cause of the energy crisis and climate change. Particularly, the influence of global warming 12 may be catastrophic: e.g., the heat waves, rising sea levels, more frequent and severe droughts, storms 13 and hurricanes. The decarbonization of energy sectors is very urgent. and social benefits analysis of energy system decarbonization. 31In the last few years, in China, there has been a high concentration of resources on the generation 32 side of the market, and market power has been frequent. It is urgent to establish risk prevention 33 mechanisms for the generation of market power. Jingdong Xie et al., proposed a "stochastic 34 evolutionary game market-clearing" model for the market regulator and risk units. Meanwhile, they 35 provided a library of multi-dimensional monitoring and evaluation indicators for the regulator and 36 This is a provisional file, not the final typeset article creates a quantitative risk prevention strategy for the power spot market in China. Finally, it turned out 37 that the generation-side market power risk prevention mechanism could lower market transaction and 38 operational risks in a variety of power supply-demand scenarios. 39In order to ensure that the voltage and frequency of the sending system with a high proportion of 40 renewable energy access under transient port energy impact can be controlled within the allowed 41 fluctuation range, Qiwei Wang et al., proposed a nonlinear multi-objective transient voltage and 42 frequency-coordinated control strategy for the renewable energy sending system. The simulation 43 results showed that the proposed control method could realize voltage and frequency stability control 44 under transient energy, which could effectively reduce the fluctuation amplitude of the transmission 45 system and restore synchronization in a short time and realize the rapid suppression of voltage and 46 frequency fluctuations. 47The electricity market (EM), carbon market (CM), and green certificate market (GCM) have 48 traditionally operated independently, with little interaction among them. To explore the interaction and 49 correlation among the three markets, Jiyang Qiao et al., analyzed the trading patterns and mutual 50 influencing factors of the EM, CM and GCM and proposed the optimal decision-making model of 51 "carbon-electricity-certificate" integration of multiple markets based on the decision-making behavior 52 of power producers in each market. Meanwhile, the golden jackal optimization algorithm (GJO) was 53 used to solve the problem under the condition of network security. Finally, it turned out that the 54 integration of multiple markets was more conducive to promoting the consumption of renewable 55 energy source (RES), and verified the feasibility and effectiveness of GJO in solving the optimal 56 decision-making problem of power producers in EM. 57The increasing penetration of renewable energy will result in insufficient system voltage 58 regulation and reactive power support capabilities, and may cause high risks of nodal voltage and 59 branch flow violations. Therefore, to hedge the operational risks under the worst realization of 60 uncertainties of renewable energy sources, Zhiyuan Li et al., proposed a two-stage robust unit 61 commitment (UC) model. Meanwhile, the convexified AC power flow model was incorporated in the 62 robust UC model to more accurately characterize the real-time operating status of power systems. 63 Furthermore, to reduce the computational complexity caused by the large-scale newly-added 64 constraints after the linearization process, a customized redundant constraint identification (RCI) 65 method was developed, in which two different modes (i.e., cold and warm start modes) were designed 66 considering the difference in base case system operating condition for linearizing branch losses. Finally, 67 it turned out that the proposed model could accurately depict actual operation and scheduling 68 conditions, and also verify that the proposed customized RCI method could effectively reduce the 69 problem scale and improve the solution efficiency. 70In recent years, there has been a contradiction between energy waste and power shortage in some 71 regions of China, which needs to be resolved through reasonable planning of the capacity of multi 72 energy systems. In order to achieve the near-zero carbon goal, Linna Hou et al., discussed the 73 reasonable state of a power energy structure based on different carbon emission reduction goals. Finally, 74 they discovered the relationship between investment costs and carbon reduction targets as increasing 75 carbon reduction targets would greatly increase investment costs and provide some suggestions for 76 planning. 77