Time based global optimization dispatching method

A method for managing a power distribution network, the method comprising:

• providing a distributed energy distribution network, microgrid, energy storage devices, and a nonlinear load;
• executing a time scale based global optimization dispatching method and a distributed network dispatching model for the power distribution network;
• performing a global distribution network global optimization in accordance with a multi-time scale optimization
• wherein the method comprises the following steps:
• a first step of establishing a global optimization target model for the power distribution network by developing a target hierarchy diagram for global optimization and building a model for a global optimization target;
• a second step of dividing an overall objective of the global optimization target model for global grid optimization into long-term, mid-long term, short-term, ultra-short-term and real-time optimization sub-goals, wherein each sub-goal includes a sub-goal adjustment;
• a third step of selecting, according to each optimization sub-goal together with distribution network dispatching policy set in a scheduling policy library, a corresponding optimization strategy to optimize the sub-goal for each adjustment, to accomplish interactive collaborative dispatching among power network and load;
• wherein the first step of the global optimization dispatching method for target modeling further comprising:
• (a) determining the global distribution network global optimization value objectives, including long term optimization goals, mid-long term optimization goals, short term optimization goals, ultra-short term optimization goals and real time optimization goals;
• (b) establishing a global optimization target value structure:
• (c) calculating global optimization target value weights by analyzing a hierarchical process;
• (d) setting up a scoring criteria for global optimization target value(s);
• (e) calculating scores, based on the calculation of global optimization target value weights for each global optimization target value according to the scoring criteria for global optimization target value(s);
• (f) obtaining an overall objective of the global optimization target model of distribution network, according to the calculated scores of the target value structure;
• wherein the third step further comprises in the scheduling policy library for the power distribution network, selecting a corresponding optimization strategy to optimize the sub-goals;
• and
• adjusting the power distribution network based on the selected corresponding optimization strategy, said adjusting comprises:
• transferring load, adjusting placement of devices in accordance with a seasonal usage efficiency of said devices, using ordered electricity, considering electricity price, providing energy efficiency management for users, providing equipment and grid transformation, having arrangements for power outage, using complementary nature of the load transfer network, performing load transfer to avoid peak, giving economic operation of the power distribution network, using complementary load transfer networks, and using distributed power and ordered electricity to achieve peak value reduction.