The coupling between modern electric power physical and cyber systems is deepening. An increasing number of users are gradually participating in power operation and control, engaging in bidirectional interactions with...
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The coupling between modern electric power physical and cyber systems is deepening. An increasing number of users are gradually participating in power operation and control, engaging in bidirectional interactions with the grid. The evolving new power system is transforming into a highly intelligent socio-cyber-physical system, featuring increasingly intricate and expansive architectures. Demands for stable system operation are becoming more specific and rigorous. The new power system confronts significant challenges in areas like planning, dispatching, and operational maintenance. Hence, this paper aims to comprehensively explore potential synergies among various power system components from multiple viewpoints. It analyzes numerous core elements and key technologies to fully unlock the efficiency of this coupling. Our objective is to establish a solid theoretical foundation and practical strategies for the precise implementation of integrated planning and operation dispatching of source-grid-load-storage systems. Based on this, the paper first delves into the theoretical concepts of source, grid, load, and storage, comprehensively exploring new developments and emerging changes in each domain within the new power system context. Secondly, it summarizes pivotal technologies such as data acquisition, collaborative planning, and security measures, while presenting reasonable prospects for their future advancement. Finally, the paper extensively discusses the immense value and potential applications of the integrated planning and operation dispatching concept in source-grid-load-storage systems. This includes its assistance in regards to large-scale engineering projects such as extreme disaster management, facilitating green energy development in desertification regions, and promoting the construction of zero-carbon parks.
Under the new power system, the traditional source-follow-load model has changed. With the access of high penetration of renewable energy, more flexible resources need to be explored from the source-side grid side and...
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ISBN:
(纸本)9781665451451
Under the new power system, the traditional source-follow-load model has changed. With the access of high penetration of renewable energy, more flexible resources need to be explored from the source-side grid side and load side to increase the consumption of renewable energy. Therefore, the optimization of 'source-grid-load-storage (SGLS)' interaction is a hot topic of current research. Because of the different interests belonging to different parties and their willingness to participate, the adoption of a centralized algorithm cannot coordinate the interests of all parties well. The state based potential game (SPG) method can coordinate the consistency of individual interests and subject interests, and has higher solution accuracy and solution efficiency compared with the general potential game (PG). Therefore, this article designs the SGLS interaction optimization model as a SPG problem, solves it using a distributed algorithm, and verifies the effectiveness of the proposed method through simulation.
In the context of carbon peaking and carbon neutralization, distributed photovoltaics is a relatively mature new energy power generation technology that is being widely promoted. However, the randomness and volatility...
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In the context of carbon peaking and carbon neutralization, distributed photovoltaics is a relatively mature new energy power generation technology that is being widely promoted. However, the randomness and volatility of distributed generation bring severe challenges to the distribution network's operation. Based on this, taking the typical scenario of a high proportion of distributed photovoltaic grid connections against the background of a whole-county photovoltaic system as the research object, this paper constructs a source-grid-load-storage coordination optimal scheduling model in distribution networks, considering the spatial distribution of power flow, tie-line power fluctuation, grid loss, and voltage amplitude from the perspective of optimal day-to-day scheduling. Next, the Lehmer weighted and improved multi-mutation cooperation strategy differential evolution (LW-IMCSDE) algorithm is introduced to enhance the differential evolution algorithm based on the weighted Lehmer average, improved multi-mutation cooperation, and population update strategies. The feasibility and effectiveness of the algorithm are investigated by using a test function to verify its effectiveness. Finally, the feasibility and effectiveness of the proposed strategy are verified in two typical power scenarios: summer and winter.
The smart distribution network featuring distributed generation (DG) and ubiquitous flexibility resources faces three challenges: low energy and resource utilization, difficult operation optimization, and lack of inte...
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ISBN:
(纸本)9781728152813
The smart distribution network featuring distributed generation (DG) and ubiquitous flexibility resources faces three challenges: low energy and resource utilization, difficult operation optimization, and lack of interaction with large power grids. Therefore, the comprehensive coordination and interaction mechanism of "source-grid-load-storage" is firstly elaborated. Secondly, a flexible coordinated optimal operation model of "source-grid-load-storage" in distribution network applied to coordinated optimal dispatch of transmission and distribution is established, in which the uncertainties of the wind power and photovoltaic is addressed by multi-scenario technique. Then the Big-M technique and second-order cone relaxation technique are adopted to the nonlinear processing of the proposed model, which is transformed into mixed integer second-order cone programming (MI SOCP) problem for solution. Finally, the effectiveness of the model is verified by improved IEEE 33-bus system.
As the proportion of new energy connected to the distribution system is gradually expanding, the previous distribution network flexibility evaluation method is difficult to adapt to the development of distribution sys...
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As the proportion of new energy connected to the distribution system is gradually expanding, the previous distribution network flexibility evaluation method is difficult to adapt to the development of distribution system, so it is of great significance to scientifically and reasonably evaluate the flexibility of new distribution system for the development of new distribution system. Firstly, a scientific and comprehensive flexible evaluation index system is constructed by considering the four perspectives of power source side, grid side, load side and energy storage side, and fully exploring the indicators reflecting new distribution system. Secondly, using the idea of co-operative game, the entropy weight method, criteria importance though intercriteria correlation method and the coefficient of variation method are combined and assigned to reduce the error of indicator weights. Finally, the Gaussian cloud model is used to assess the flexibility of the distribution network in Fujian, China, which results in a 'high' level of flexibility, consistent with the real situation, and verifies the reliability and accuracy of the model. The results show that the proposed evaluation model is able to identify the vulnerability of new distribution system and provide opinions for the improvement of the flexibility of new distribution system and its development, which has certain applicability.
This study proposes four kinds of hybrid source-grid-storage systems consisting of photovoltaic and wind energy, and a power grid including different batteries and hydrogen storage systems for Sanjiao town. HOMER-PRO ...
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This study proposes four kinds of hybrid source-grid-storage systems consisting of photovoltaic and wind energy, and a power grid including different batteries and hydrogen storage systems for Sanjiao town. HOMER-PRO was applied for the optimal design and techno-economic analysis of each case, aiming to explore reproducible energy supply solutions for China's industrial clusters. The results show that the proposed system is a fully feasible and reliable solution for industry-based towns, like Sanjiao, in their pursuit of carbon neutrality. In addition, the source-side price sensitivity analysis found that the hydrogen storage solution was cost-competitive only when the capital costs on the storage and source sides were reduced by about 70%. However, the hydrogen storage system had the lowest carbon emissions, about 14% lower than the battery ones. It was also found that power generation cost reduction had a more prominent effect on the whole system's NPC and LCOE reduction. This suggests that policy support needs to continue to push for generation-side innovation and scaling up, while research on different energy storage types should be encouraged to serve the needs of different source-grid-load-storage systems.
Driven by the global "Dual Carbon"goals, the development of a new power system has become a key to achieving the energy transition. Based on this, this paper reviews the recognition of the new power system, ...
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