A novel power source-load bilayer cooperative planning method for distribution networks based on adaptive ε-dominated multi-objective particle swarm algorithm

Abstract

Access to large-scale new energy sources and diversified flexible and controllable loads indirectly leads to an increase in uncertainty in the planning of new distribution network construction. Therefore, to realize the new distribution grid power source-load cooperative planning, a two-layer cooperative planning method based on an adaptive ε-dominated multi-objective particle swarm algorithm is proposed. By constructing a new distribution network power source-load planning impact index system and analyzing the new distribution network power source-load planning demand, constructing a new distribution network power source-load multi-objective double-layer cooperative planning model with investment cost, operation cost, and reliability demand as the main objectives, it innovatively applies an adaptive ε-dominated multi-objective particle swarm algorithm to transform the opportunity constraint problem into a convex optimization problem, solving the double-layer model, and realizing the new distribution network power source-load cooperative planning. Realize the new distribution network power source-load two-layer cooperative planning. The experimental results show that, using the design method for multi-objective cooperative planning, in each system node, the loss value is no more than 24 kW, and the highest loss value is only 17.35 kW, which indicates that the design planning scheme produces smaller line losses and better meets the operational reliability requirements of the new distribution network. At the same time, the total annual comprehensive cost generated by using the design method is 8,989,660,000 RMB, the substation expansion/new construction and line expansion/new construction cost consumption is low, and the cost of purchasing electricity is relatively balanced.