Virtual power Plant (VPP) calculation is a problem of searching optima in high-dimensional space. Its basic optimal solving methodology is to trim uninteresting regions of the search space where global optima are unli...
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This paper presents the distribution network optimal feederreconfiguration problem, which is formulated using multi-objective functions such as voltage profile optimization, active power loss reduction, and load bala...
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Finding the causes of outages and the most suitable solution forreducing them, in an economically optimal way, has always been one of the main challenges for electricity distribution companies. However, due to the va...
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In the context of low-carbon electricity, the low-carbon operation of the distribution network significantly impacts the reduction of carbon emissions in the power system. Addressing how to achieve coordinated low-car...
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ISBN:
(数字)9798331523527
ISBN:
(纸本)9798331523534
In the context of low-carbon electricity, the low-carbon operation of the distribution network significantly impacts the reduction of carbon emissions in the power system. Addressing how to achieve coordinated low-carbon economic operation at the distribution network level is an urgent issue that requires resolution. This paper proposes a low-carbon scheduling model that considers carbon emissions anddemandresponse within the distribution network. First, we introduce an improveddynamic carbon emission factor for the distribution network, which serves as a guiding signal to provide reference for users' low-carbon electricity consumption. Next, we develop two distinct demandresponse models: one for industrial users aimed at minimizing scheduling costs while reducing carbon emissions, and another forresidential users focused on electricity satisfaction and low-carbon satisfaction. Finally, simulations are conducted using an improved IEEE-33 node distribution system. The results indicate that the proposed scheduling model effectively reduces carbon emissions in the distribution network and enhances the integration of photovoltaic resources.
With the advancement of low-voltage distributed photovoltaic construction, large-scale photovoltaic equipment is connected to the low-voltage distribution substation area, and there is still a lack of unifieddata col...
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It is difficult to accurately identify the single-phase insulation-to-ground faults in station AC/dC power supplies. To this end, a true-type simulation method of insulation grounding fault arc and the identification ...
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This paper presents a design method of a Pole Changing Induction Machine (PCIM) with double 3 phase inverter. The winding method and a design of the machine geometry to maximize the advantage of the pole changing IM a...
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With the rise of big data, the planning and management of intelligentdistribution networks have ushered in new development opportunities. Through the comprehensive integration, in-depth analysis, and effective mining...
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This paper presents the distribution network optimal feederreconfiguration problem, which is formulated using multi-objective functions such as voltage profile optimization, active power loss reduction, and load bala...
This paper presents the distribution network optimal feederreconfiguration problem, which is formulated using multi-objective functions such as voltage profile optimization, active power loss reduction, and load balancing. The formulated problem is solved using a technique incorporating Population Adaptation with Particle Swarm Optimization (PAPSO). In the proposed PAPSO technique, the concept of diversity is used to determine stagnation in the population. Thereafter, an enhancement step of population adaptation is employed to induce randomness in the particle population that reinitializes the population for further search. The outcomes are depicted on a modified IEEE 33-bus network at distribution voltage level, showing the most optimum feeder configuration obtained using the proposed algorithm. Furthermore, a quantitative comparison has been made between the PAPSO and standard Particle Swarm Optimization (PSO) results. The results anddiscussion depict that the suggested technique is relatively effective in providing the best solution in accordance with the set objectives.
Virtual power Plant (VPP) calculation is a problem of searching optima in high-dimensional space. Its basic optimal solving methodology is to trim uninteresting regions of the search space where global optima are unli...
详细信息
ISBN:
(数字)9798350309638
ISBN:
(纸本)9798350309645
Virtual power Plant (VPP) calculation is a problem of searching optima in high-dimensional space. Its basic optimal solving methodology is to trim uninteresting regions of the search space where global optima are unlikely to be found by setting rules manually or automatically. A new fast solving algorithm based on priority ranking andrule matching of multidimensional responsive features of distributed Energy resources (dErs) is proposed anddesigned. Theoretical analysis and simulation result show that the new algorithm is with O(n
2
) time complexity, which means it is fast enough and can be put into practice in real-time VPP’s engineering application scenarios.
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