Patent ID: 9536021
Date: 2017-01-03
CPC Classifications: G06F,G06N,Y02E,Y04S

Claim:
1. A method for optimizing a renewable energy network, comprising: (a) determining an initial configuration state, wherein initial configuration state includes information about any renewable energy candidate sites kept from a prior iteration, if any; (b) populating a pool of candidate sites for placement of renewable-energy generating units using a hybrid simulated annealing-genetic algorithm, wherein the populating includes: (c) constructing a plurality of candidate renewable energy generation networks from the pool of candidate sites using random selection; (d) evaluating the candidate renewable energy generation networks using scoring metrics; (e) ranking the evaluated candidate renewable energy generation networks with respect to each other and prior iteration candidate renewable energy generation networks; (f) adding candidate sites from a top ranked candidate renewable energy generation network to a list of candidate sites to be kept; repeating (a)-(f) until a final best candidate renewable energy generation network of kept sites is determined; and outputting the final best candidate renewable energy generation network for review, in which the outputting outputs the final best candidate renewable energy generation network for display on computing device display, wherein the constructing constructs candidate renewable energy generation networks without replacement to ensure sites from the pool candidate sites are not repeated within a single candidate network.