Multi?objective optimization of integrated gas–electricity energy system based on improved multi?object cuckoo algorithm

With the depletion of sources primary energy across world, prospect a global crisis in near future has raised considerable concern. Among many clean energy, wind is considered to be most effective means sustainable and environmentally friendly energy. Traditional systems based on oil natural gas still operate discrete manner, promise offered by mutual coordination between draw complementary benefits not yet been fully exploited. This prompted all sectors examine optimal integration interconnected gas–electricity systems. In this context, study proposes multi-objective collaborative operational optimization model P2G for an interconnected, integrated system case uncertain power. Based effect carbon capture using P2G, coupling electricity, cost low-capacity reserves, authors use conditional risk values design four targets optimization—the operating system, rate consumption total emissions capacity stand-by cost—according power thermal their elements from multiple perspectives clarify constraints model. Moreover, reduce likelihood solution falling into local optimum, improved cuckoo algorithm used optimize scheduling The 10-node six-node as examples simulation verify proposed results empirical analysis show following: (a) Once equipment had connected, it reduced regardless whether backup services were provided. (b) could combined with gas-fired CHP units “cut peaks fill valleys” electrical load system. These effectiveness dispatch