Placement optimization of Multi-Type fault current limiters based on genetic algorithm

The fault current limiter(FCL)is an effective measure for improving system stability and suppressing short-circuit fault current.Because of space and economic costs,the optimum placement of FCLs is vital in industrial applications.In this study,two objectives with the same dimensional measurement unit,namely,the total capital investment cost of FCLs and circuit breaker loss related to short-circuit currents,are considered.The circuit breaker loss model is developed based on the attenuation rule of the circuit breaker service life.The circuit breaker loss is used to quantify the current-limiting effect to avoid the problem of weight selection in a multi-objective problem.The IEEE 10-generator 39-bus system in New England is used to evaluate the performance of the proposed genetic algorithm(GA)method.Comparative and sensitivity analyses are performed.The results of the optimized plan are validated through simulations,indicating the significant potential of the GA for such optimization.

Economic research on application of electric heating system based on game theory

The use of clean electricity to replace fossil energy burning for heating is an important emission reduction way to achieve carbon neutrality.Without a good business model,it is very difficult to promote electric heating as a replacement for coal-fired systems in some areas with abundant coal resources.This study proposed a new business model for electric heating with stakeholders that included the government,the power grid company,and heat users.Based on this model,a specific tri-objective optimization model was proposed with the electric heating promotion power,heating electricity price,and government subsidy as variables to characterize the game relationship of the stakeholders,and the components of the stakeholder benefit function were analyzed in detail.A classical multi-objective genetic algorithm was used to solve the model.Finally,an"electrical heating"project for a typical area in China was analyzed,and four promotion cases were examined.The results showed that the power grid company and users had an antagonistic relationship in relation to the electricity price,but the best solution was found for all three stakeholders due to the high financial subsidies provided by the government.

Optimal dispatch of zero-carbon-emission micro Energy Internet integrated with non-supplementary fired compressed air energy storage system

To utilize heat and electricity in a clean and integrated manner,a zero-carbon-emission micro Energy Internet(ZCE-MEI) architecture is proposed by incorporating non-supplementary fired compressed air energy storage(NSF-CAES) hub.A typical ZCE-MEI combining power distribution network(PDN) and district heating network(DHN) with NSF-CAES is considered in this paper.NSF-CAES hub is formulated to take the thermal dynamic and pressure behavior into account to enhance dispatch flexibility.A modified Dist Flow model is utilized to allow several discrete and continuous reactive power compensators to maintain voltage quality of PDN.Optimal operation of the ZCE-MEI is firstly modeled as a mixed integer nonlinear programming(MINLP).Several transformations and simplifications are taken to convert the problem as a mixed integer linear programming(MILP)which can be effectively solved by CPLEX.A typical test system composed of a NSF-CAES hub,a 33-bus PDN,and an 8-node DHN is adopted to verify the effectiveness of the proposed ZCE-MEI in terms of reducing operation cost and wind curtailment.