Under the background of carbon emission reduction，fully controlled power device IGBT is widely used in various of converters with its excellent performance，effective and reliable drive circuit is crucial to the safe operation of IGBT，especially for high-power applications. Aiming at the requirement of flexible and reliable of IGBT drive circuit in high-power applications，an IGBT drive and protection circuit based on intelligent integrated optocoupler driver ACPL-332J was designed，the parameters of ACPL-332J were analyzed，and the driving circuit was designed with ACPL-332J as the core. With Infineon FF600R12ME4 as the application IGBT，the effectiveness of the designed drive and protect circuit was verified by double pulse test and short circuit test.

The secondary voltage signal output by electronic capacitive voltage transformer in the primary and secondary fusion equipment is very weak，which is easy to be interfered by high-order harmonics，resulting in unstable signal transmission. In order to solve these problems，a high-order and high-precision filter based on Sallen-Key was proposed to suppress harmonics and reduce the interference to the working signals. Firstly，the working principle of the transformer was analyzed. Then，based on the principle and the working frequency band of the primary and secondary fusion equipment，the integration circuit and filter circuit were studied and designed with Matlab/Simulink simulation software. Finally，the filtering circuit was optimized and the whole circuit was simulated. The results show that the optimized circuit can suppress the interference of high-order harmonics more effectively and ensure the stable output of fundamental wave.

With the large increase of load users，the load side adjustable resources gradually increase，and the load side demand response（DR） resources are used to participate in microgrid scheduling to improve the level of new energy consumption. In order to give full play to the scheduling potential of DR resources and optimize the user side load management capability， a multi-time scale optimal scheduling strategy for microgrids that takes into account scheduling priorities was proposed. Firstly，according to the response characteristics of different DR resources，the price-based demand response（PDR） resources and incentive-based demand response（IDR） resources were subdivided into five types，and a DR model was constructed to match the scheduling period. Secondly，the multi-times cale optimal scheduling model of "day-intra-day 1 h-intra-day 15 min" was constructed，optimized scheduling of various adjustable resources in the microgrid，and established priority weights for real-time adjustable resources that have a direct impact on users' electricity consumption behavior. Finally，taking an actual microgrid as an example in Fujian，the simulation verifies the validity of the model.

In order to improve the short-circuit breaking capacity of solid-state circuit breaker （SSCB） in DC system，a multi-objective optimization method that explores component parameters to achieve optimal breaking characteristics was proposed. A detailed analysis of the breaking process of the SSCB during a short-circuit fault was performed，and the influence of the current limiting inductor LB and the voltage limiting capacity factor γ of the metal oxide varistor （MOV） on the breaking characteristics was investigated by theoretical analysis and simulation. Based on the breaking characteristics，three optimization objective functions of breaking impact performance，breaking time and energy absorption were established. The objective functions were optimized by the multi-objective particle swarm algorithm，and a method which combines technique for order preference by similarity to ideal solution and decision maker preferences，was used to make decisions. The results show that under different decision maker preferences，the component parameters L_B and γ after the optimization can significantly improve the breaking performance of the SSCB.

Based on full-bridge（FB） and half-bridge（HB） sub-modules（SMs），the conventional hybrid modular multievel converter（MMC） is a typical topology of MMC with DC fault clearing ability. However，the proportion of FB SMs in conventional hybrid MMC is usually greater than 50%，so as to increase the cost and losses. To solve this mentioned issue，a DC fault commutated circuit based on thyristor-switched capacitor（TSC） structure in the hybrid MMC was integrated to reduce the number of FBs，the improved TSC-hybrid MMC was proposed in follows. In TSC-hybrid MMC，HB-MMCs and FB-MMCs were both retained their complete commutated body，and meanwhile，they were connected by a three-winding transformer in AC side and in series with DC side. In particularly，a thyristor-switched capacitor structure was integrated in the DC side of TSC-hybrid MMC to clear the DC fault. According to the analysis，the proportion of FB SMs in TSC-hybrid MMC can be reduced to 10%~25% or even lower （the AC-side voltage quality is a main limiting condition），the cost is reduced as well as the on-state losses. Simulation results validate the correctness of analyses.

There are many elderly people with limb disorder in China，and exercise rehabilitation technology is an effective means of rehabilitation treatment. However，the serious imbalance of doctor-patient ratio makes it difficult for everyone to enjoy rehabilitation medical services. Impedance control technology is used for the safe interaction between rehabilitation robot and human body. However，constant impedance control is used in the existing rehabilitation robots，which has weak environmental adaptability and is difficult to be applied in clinical practice. In view of the above problems，a variable impedance control method was proposed. The user's surface electromyography signal（sEMG） was collected as input，and his upper limb motion angle was trained and recognized by the improved random forest algorithm. With the end force sensor，the motion intention was obtained，and then the rehabilitation motion was completed by the variable impedance controller. The experimental platform was built，and the track tracking and rehabilitation training abilities were verified and evaluated. The results show that the designed controller could control the robot to complete rehabilitation movement.

The traditional active distribution network location and capacity determination ignores the multi-energy complementary coordination characteristics of the energy system，which led to high cost. Therefore，an active distribution network location and capacity determination method based on energy interconnection was proposed. On the basis of energy interconnection，the objective function was established，and the whole life cycle cost theory was used to comprehensively consider the equipment purchase cost，installation cost，operation and maintenance cost，system operation cost and salvage value recovery. Taking the distribution network location and capacity determination comprehensive cost in the form of probability as the objective function，the necessary constraint models were constructed，including equipment configuration capacity constraint，system power supply reliability constraint，power balance constraint and equipment operation constraint. On this basis，the improved artificial fish swarm algorithm was used to solve the location and capacity determination algorithm. The simulation results show that the cost of the location and capacity determination of the active distribution network with distributed power is lower than that without distributed power. The total cost of network loss and reactive power compensation calculated by the improved artificial fish swarm algorithm is lower. Compared with other methods，the method proposed has lower loss cost and reactive power compensation cost. It shows that the proposed method can reduce the cost of active distribution network location and capacity determination，and the practical effect is better.