Research On Active Distribution Network Planning

With the rapid development of new energy technologies,various energy storage technologies,and electric vehicles,traditional distribution network concepts and technologies have been unable to meet the needs of socio-economic development for the power supply model and quality.In order to fundamentally solve the problem of highly compatible distributed power distribution networks,the concept of Active Distribution Network(ADN)was proposed to achieve the full use of renewable energy and flexible control of the distribution network's bidirectional power flow.In order to solve the problem of active distribution network operation from the source,and improve the penetration and utilization of distributed energy resources(DER)as well as give full play to the active role of distributed energy in active distribution networks.It is necessary to study planning methods for power configuration in ADN.In addition,in order to solve the problem of observable and optimal control of the active distribution network,a large number of Phasor Measurement Unit(PMU)need to be installed,and the PMU can realize synchronous measurement of each node in distribution network based on global satellite synchronization technology.However,it is not economical to configure the PMU on each node.Therefore,it is necessary to optimize the number and location of PMU placement in the distribution network.The primary sources of energy for distributed generation are mainly renewable energy sources such as wind power and solar energy.Its output has intermittent and volatile characteristics.To stabilize its volatility and intermittency,some scholars have studied the problem of optimal sizing and siting of energy storage system in active distribution network.However,at present,there are only a few research that study the coordination and optimization of energy storage system and distributed generation as well as considering active management measures.In addition,there have been many studies on the optimal placement of PMU unit,but there are few for distribution network.In view of the above issues,this paper focuses on the collaborative planning of energy storage system and distributed generation which considering two active management measures and the planning of PMU in the distribution network,the following is the work of this article that has completed:First of all,this paper first summarizes the active distribution network planning and PMU technology,and introduces two methods for dealing with uncertainties in the active distribution network power supply planning.And also introduced the framework diagram and mathematical model of a bi-level planning model that takes into account operational and active management.Regarding PMU configuration planning,the basic principle of synchronous phasor measurement and the composition of the PMU are introduced.Secondly,in order to suppress the intermittent and volatility of renewable energy generation,this paper establishes a bi-level collaborative planning model of distributed generation and energy storage system that takes into account two active management measures.In addition,an optimal PMU planning model that considers zero injection nodes is proposed.Under the premise of ensuring the observability of the whole system,the system has maximum redundancy while minimizing the need for configuring PMU.In order to solve the above planning problem,a new hybrid algorithm is proposed based on Flower Pollination Algorithm(FPA)and Second Order Cone Planning(SCOP).Firstly,the improved PFA is proposed and then the hybrid algorithm is composed with SCOP.The hybrid algorithm solves the bi-level programming model proposed in this paper and can quickly obtain the global optimal solution.Taking the IEEE 33-node power distribution system as an example,the above new hybrid algorithm is used to solve the problem of power configuration planning,and the simulation results verify its validity.Taking the IEEE 30-node and 20-node power distribution systems as examples,an improved flower pollination algorithm is used.Solve the problem of PMU placement planning,simulation results verify the effectiveness of the algorithm.