This paper proposes a distribution network reconfiguration (DNR) continuous method to reduce network loss, balancing load, eliminating overload and improving power quality. When a certain coding rule reduces the dimension and reduces the radius of the variable confidence interval, the first type of non effective solution is avoided in probability through the coding rules and algorithm characteristics, and the second type of non effective solution is completely avoided compared with the expert base, so that the number of power flow calculations is greatly reduced. Through improved Crisscross optimization algorithm (CSO), the directionality is introduced into the horizontal crossing, and the fuzzy clustering idea is adopted to dynamically change the static vertical crossing factor, the simulation results show convergence speed and accuracy are improved, and verify the correctness and effectiveness of the method.
Nowadays, the park and its enterprises face many challenges in the global environment that is service-oriented, customer experience centered and customer demand oriented. ICT is becoming a major promoter and partner for smart parks and modern businesses. The smart park takes advantage of the results of data integration and sharing, and provides decision-making through data analysis, making the park more “intelligent” for corporate and individual services. An integrated management cloud platform architecture of smart parks based on the micro-service governance framework is proposed in this paper, which adopts the springclass micro-service governance framework to solve the problems of “data island”, “power island”, and “user experience” among the information subsystems of smart parks. The information and services will be integrated well to make quick response to changes in the extensional needs of the park’s operational services, and to achieve high scalability the system.
It is a trend to use virtual power plant technology to realize demand response and participate in electricity trading. We design and implement the software control platform of virtual power plant for demand response. For this software platform, we analysed the requirements and got the overall architecture of the platform. On this basis, we design and implement the microservice architecture, interface design, basic application function design, advanced application function design, hardware architecture, communication architecture and security encryption of the platform. Finally, we summarize the application of the platform, and put forward the direction of further research and development.
firstly, this paper analyzes the necessity of market transaction of distributed generation, and summarizes the current situation of distributed generation transaction in the world. Then it discusses and analyzes the relevant policies of the Chinese government for distributed generation transaction, including photovoltaic subsidy policies, support policies for virtual power plants to participate in power trading, and support policies for distributed generation transaction pilot projects. According to China’s current electricity market rules and distributed generation transaction support policies, a distributed generation transaction platform system suitable for Chinese electricity market is designed based on blockchain technology. This paper compares and analyzes the two modes of virtual power plant and peer-to-peer transaction from the aspects of DG investor’s revenue and trading model. Finally, for the development of distributed generation trading in China, we draw conclusions and suggestions, and put forward the problems to be solved in the next step.
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